International Journal of Sustainable Development (44 papers in press)

Regular Issues

• Publicly accountable deliberation using digital ICT: building understanding and integrity in KQA practices  
  by Jean-Marc Douguet, Philippe Lanceleur, Martin Paul O'Connor 
  Abstract: We take up the challenge of publicly accountable deliberation processes for building integrity of knowledge claims in situations of controversy. We characterise Knowledge Quality Appraisal (KQA) in a perspective of Post Normal Science (PNS), and propose the structuring of KQA as a process of deliberative multi-criteria and multi-actor evaluation, with a four-dimensional framework (What, Who, Why and How) for extended peer community dialogue. Turning to the question, to what extent can such procedures be effective, we insist that implementing a robust KQA procedure in situations of societal controversy can, both in theory and in practice, be only imperfect at best. Nonetheless, deliberative KQA methods can be motivated, on epistemological as well as moral grounds, in support of (utopian) ideals of inclusive, open, convivial, and humane societies.
  Keywords: deliberation; extended peer community; integrity; knowledge quality assessment; post normal science.
  
  
• Development of a strategic management model for agricultural innovation systems based on agricultural researchers viewpoints  
  by Farisa Irannejad Rankoohi, Mehdi Mirdamadi, Seyed Jamal Hosseini, Farhad Lashgarara, Mohammad Reza Rezapanah 
  Abstract: This study aimed to develop a strategic management model of AIS in order to increase the productivity of policies and programs in this sector. The participants in this study consisted of 19 decision-makers and researchers from the Agricultural Research, Education, and Extension Organization and its affiliated institutions who were selected through snowball sampling. To investigate internal and external influences, the data collection tools in this study were interviews and a questionnaire, which was designed by step-wise weight assessment ratio analysis. Finally, the mission and vision, long-term goals, and AIS strategies in Iran were developed based on the study findings. The results indicated that the Iranian AIS emphasises achieving sustainable agricultural development, food security, and knowledge-based agriculture as well as developing new technologies in active agricultural sectors. The study result also revealed the necessity of empowerment, wealth creation, productive employment, and utilisation of competitive advantage in agricultural production.
  Keywords: agricultural innovation systems; AISs; strategic management; Iran.
  DOI: 10.1504/IJSD.2023.10060791
   
  
• Using the sustainable strategy of green practices to achieve eco-friendly behaviour  
  by Jen-Hung Wang, Jin-Feng Tao 
  Abstract: Businesses use green practices to gain a sustainable competitive advantage and foster sustainable economic growth. Green practices play a critical role in establishing a positive brand image and facilitating the development of an environment-friendly society. This study examines the relationships between green practices, green brand image, perceived value, environmental awareness, and eco-friendly behavior. We took three green scenic spots (the Confucian Temple, the ShaJiaBang, YuMount and ShangLake Tourist Area, and the Taihu Turtle-Head Peninsula Scenic Area) in Jiangsu Province in China as the study location. Tourists visiting these locations were the study subjects. This study distributed an online questionnaire using www.wjx.cn. The final valid samples included 603 responses. After analysing the data using SPSS 25 and AMOS 23, the findings indicate the following: (1) green practice has a significant positive influence on green brand image, environmental awareness, and eco-friendly behaviour; (2) perceived value and environmental awareness have a significant positive influence on eco-friendly behaviour; (3) environmental awareness and green brand image have a significant positive influence on perceived value.
  Keywords: sustainability; green practice; green brand image; perceived value; environmental awareness; eco-friendly behaviour.
  
  
• An evaluation method of English teaching quality based on Markov chain  
  by Lifeng Li 
  Abstract: Focusing on improving the accuracy and comprehensiveness of teaching quality evaluation results, a Markov chain-based English teaching quality evaluation method is proposed. Construct a teaching quality evaluation index system and calculate the specific weights of different evaluation indicators in the system through an analytic hierarchy process. Based on the weight calculation results, the state-transition matrix is established using the Markov chain method, and more states are introduced to construct the state-transition matrix. According to the state-transition matrix, the residual sequence with the same position is obtained under the original data sequence, and the upper and lower boundary values of different residual sequences are obtained. Combined with the steady-state distribution vector, the teaching quality evaluation results are obtained. The experimental results show that the evaluation results of the proposed method have lower errors and are more comprehensive.
  Keywords: teaching quality evaluation; analytic hierarchy process; AHP; residual sequence; Markov chain.
  DOI: 10.1504/IJSD.2023.10061894
   
  
• An online English teaching quality assessment method based on PCA-SVM  
  by Siyuan Yuan 
  Abstract: In order to scientifically evaluate the quality of English online teaching, this study propose an online English teaching quality assessment method based on PCA-SVM. This method first selects evaluation indicators, and then uses PCA algorithm to extract the main components of the evaluation indicators. Next, the SVM algorithm is introduced to obtain its optimal classification hyperplane, so as to determine the category of the evaluation index. Finally, hyperplane segmentation is performed on the samples of evaluation indicators to obtain the classification results of main component indicator data. Based on the classification results, complete the design of an English online teaching quality classification evaluation model. The test results show that the correlation coefficient of the proposed method's indicators can reach 0.99, and its multiple evaluation noise is only 0.55dB, which is superior to the comparison method and has certain feasibility.
  Keywords: PCA-SVM; online English teaching; quality assessment; evaluation function; hyperplane segmentation.
  DOI: 10.1504/IJSD.2023.10061895
   
  
• The educational quality evaluation method of college online teaching mode under the background of big data  
  by Yang Yang, Zhencun Wang, Zhanlei Shang, Zhan Li, Irving Domingo L. Rio, Merle L.Junsay 
  Abstract: Evaluating the educational quality of online teaching mode is of great significance for improving teaching level. Therefore, this article designs an education quality evaluation method for online teaching mode in universities under the background of big data. Firstly, analyse the online teaching mode in universities and build an evaluation system. Secondly, clustering similarity is calculated based on attribute distance to complete the clustering division of education quality. Then, use the association rule algorithm in big data technology to determine the impact of indicators on the evaluation results. Finally, construct an evaluation function, calculate the weight of the function using a consistent matrix, and solve the function to achieve education quality evaluation. The results show that the evaluation accuracy of the proposed method can reach 99%, and the evaluation time is less than 0.2 seconds, effectively improving the effectiveness of education quality evaluation.
  Keywords: online teaching mode; attribute distance; consistent matrix; big data technology; association rule algorithm.
  DOI: 10.1504/IJSD.2023.10061896
   
  
• The impact of multimedia mobile terminal devices on students' comprehensive learning quality  
  by Jing Li, Lifen Hu 
  Abstract: In order to improve comprehensive learning quality of students, this study investigates the impact of multimedia mobile terminal devices on comprehensive learning quality of students. Firstly, analyze the characteristics of multimedia mobile terminal devices, including high-performance and powerful multimedia functions, excellent human-machine interaction performance, portability, openness, and privacy. Secondly, analyze the impact of multimedia mobile terminal devices on students' learning from seven aspects. Finally, set up experimental and control group classes to analyze comprehensive learning quality of students. The research results show that 66.35% of students believe that their listening ability has been significantly improved, 67.78% of students believe that their knowledge accumulation ability has been significantly improved, and 63.72% of students believe that their autonomous learning ability has been significantly improved. Therefore, it indicates that the reasonable use of multimedia mobile terminal devices in the classroom can improve comprehensive learning quality of students.
  Keywords: multimedia mobile terminal equipment; quality of students' comprehensive learning; human machine interaction function; multimedia features.
  DOI: 10.1504/IJSD.2023.10061897
   
  
• An online teaching quality evaluation method based on improved entropy method in the context of sustainable development  
  by Ye He, Wenbin Li 
  Abstract: The evaluation effect of online teaching quality not only affects the development of teaching models, but also has an impact on the learning quality of students. Therefore, a method for evaluating online teaching quality based on improved entropy method in the context of sustainable development is proposed. Firstly, under the principle of sustainable development, K-means clustering algorithm is used to cluster and mine online teaching data. Secondly, based on the excavated online teaching data, establish an online teaching quality evaluation index system. Finally, the standard transformation method is used to improve the entropy method, and the improved entropy method is used to calculate the comprehensive index of online teaching quality evaluation, completing the graded evaluation of online teaching quality. The test results show that the proposed evaluation method can accurately and efficiently evaluate online teaching, with a maximum evaluation accuracy of 99.84%.
  Keywords: sustainable development; improved entropy method; online teaching; quality assessment; standard transformation method.
  DOI: 10.1504/IJSD.2023.10061898
   
  
• Evaluation of the effectiveness of graded English teaching reform in a mixed learning environment  
  by Danting Yin 
  Abstract: The effect of English graded teaching reform is still unclear. In order to study the practical application effect of English graded teaching reform, the evaluation method of English graded teaching reform effect in blended learning environment is proposed. Firstly, the characteristics of blended learning environment are analysed, and the time series analysis method is used to collect the data of English graded teaching reform. Secondly, through the optimal cluster analysis criterion, an index system for evaluating the effect of English graded teaching reform is constructed. Finally, the fuzzy comprehensive evaluation method is used to obtain different levels of the effectiveness of English graded teaching reform and complete the evaluation of the effectiveness of English graded teaching reform. The test results show that the highest evaluation accuracy of the proposed evaluation method is 99.03%, and the highest evaluation time is 0.5 hours.
  Keywords: mixed learning environment; English level teaching; teaching reform; effect evaluation; fuzzy comprehensive evaluation.
  DOI: 10.1504/IJSD.2023.10061899
   
  
• Evaluation method of online education sustainable development effect based on data mining  
  by Zhanqiu Yu 
  Abstract: A data mining based online education sustainable development effectiveness evaluation method is proposed to address the issues of low evaluation accuracy and efficiency in traditional methods. Firstly, analyse the four elements of sustainable development in online education; secondly, the decision tree method is used to decompose the similarity of online education data to obtain the similarity between different data, and probability statistical methods are used to mine online education data. Then, combine the data mining results with the four elements to construct an evaluation index system; finally, based on the principle of fuzzy set transformation, a fuzzy evaluation matrix is established to conduct fuzzy evaluation on the evaluation indicators and obtain the evaluation results. The experimental results show that the proposed method has high evaluation accuracy, fast efficiency, and a small gap between the evaluation results and actual performance.
  Keywords: data mining; online education; sustainable development; probability and statistics; fuzzy set transformation.
  DOI: 10.1504/IJSD.2023.10061900
   
  
• Evaluation method of English teaching reform effect based on GWO-SVM  
  by Kun Li 
  Abstract: Evaluating the effectiveness of English teaching reform can effectively improve the quality and effectiveness of English teaching. Therefore, the paper proposes an evaluation method for the effectiveness of English teaching reform based on GWO-SVM. First of all, build a multiple evaluation index system with schools, teachers and students as the main body, and use fuzzy theory to mine the data of reform results; Secondly, the mined data is processed to achieve data standardisation; then, a sample classifier is constructed by SVM to classify the reform effect data. Finally, the evaluation function is constructed based on GWO, and the function is solved, and the final evaluation effect of English teaching reform is input. The results show that the evaluation result of this method is of high accuracy, less than 2.3 s in time, and up to 0.97 in comprehensiveness, effectively improving the reform effect.
  Keywords: fuzzy theory; GWO algorithm; range transformation; English teaching reform; support vector machine; SVM.
  DOI: 10.1504/IJSD.2023.10061901
   
  
• The impact of innovative management models on the improvement of service efficiency of power supply stations in the context of digital transformation  
  by Hui Wang, Ziheng Wang, Jiajia Xie, Wenwen Fang, Danfei Chen 
  Abstract: In order to improve the service quality, efficiency, and user satisfaction of power supply stations, this study investigates the impact of innovative management models on the improvement of service efficiency of power supply stations in the context of digital transformation. Firstly, analyse the limitations of the development of service efficiency in power supply stations under traditional management models. Secondly, analyse the opportunities and challenges faced by the service efficiency development of power supply stations in the context of digital transformation. Finally, analyse the impact of innovative management models on the improvement of service efficiency in power supply stations from five aspects: improving service efficiency, optimizing resource allocation, personalized services, improving power supply reliability, and optimising service experience. Through case analysis, it can be seen that innovative management models can effectively improve the service efficiency, reliability, and user satisfaction of power supply stations.
  Keywords: digital transformation; innovative management mode; service efficiency; opportunities and challenges; data-driven decision-making.
  DOI: 10.1504/IJSD.2024.10062171
   
  
• Accurate estimation of prefabricated building construction cost based on support vector machine regression  
  by Min Jiang, Boda Li 
  Abstract: In order to overcome the low accuracy and assembly rate of the traditional construction cost estimation methods for prefabricated building, an accurate estimation method of prefabricated building construction cost based on support vector machine regression was proposed. The cost estimation indicators for prefabricated building construction are selected, and the indicators are preprocessed. The input vector for accurate cost estimation models for prefabricated building construction is determined, including prefabrication cost, assembly cost, direct cost, and indirect cost. A cost estimation model based on support vector machine regression is constructed, and Lagrange transformation is introduced for model training. The trained model is used to obtain accurate cost estimates for prefabricated building construction. The testing results indicate that the proposed method improves estimation accuracy, with a higher feasibility and increased rate of prefabrication.
  Keywords: support vector machine regression; prefabricated building; construction cost; accurate estimation method; cost estimation model; Lagrange transformation.
  DOI: 10.1504/IJSD.2024.10062173
   
  
• Analysis on the impact of river safety regulation projects on the surrounding ecological environment  
  by Ye He 
  Abstract: The river safety improvement project can restore and improve the surrounding ecological environment through measures such as ecological restoration. Based on the grey correlation analysis method, this article analysis on the impact of river safety regulation projects on the surrounding ecological environment. The development stage and existing problems of river safety regulation projects are identified, and the influencing factors are analyzed using grey correlation analysis to determine the impact of river safety regulation projects on the surrounding ecological environment. The river safety regulation projects has a positive impact on water quality and terrain, which can stabilize sediment changes in the water area. The experimental results indicate that the river safety improvement project has a positive impact on the surrounding ecological environment, with the surrounding water pollution index consistently below 0.4 and a relatively small impact on the surrounding terrain loss.
  Keywords: river safety regulation projects; surrounding ecological environment; grey correlation analysis method; water quality; influencing factors; stabilise sediment.
  DOI: 10.1504/IJSD.2024.10062174
   
  
• Assessment of clean energy development path based on carbon emission data: achieving sustainable development goals  
  by Shulei Qi 
  Abstract: The development of clean energy is usually influenced by seasonal factors, and traditional manual experience assessment methods often fail to consider these seasonal factors and overlook periodic trends. Through the Holt-Winters method, carbon emission data was comprehensively and accurately evaluated to guide the achievement of sustainable development goals. The relevant carbon emission data was collected, and the Holt-Winters method combined trend, seasonal, and cyclical components to better capture and fit seasonal change patterns, providing more accurate predictions of clean energy development paths. In 2022, the electricity generated by City A using wind power was 31.6% more than that generated by City A using fossil fuels in 2021, and the carbon emissions were 57.1% lower. This data has provided important information for policy makers to help them formulate clean energy policies, regulations, and measures, helping to ensure social, economic, and environmental sustainability.
  Keywords: carbon emission data; holt-winters method; clean energy; sustainable development goals; development path.
  DOI: 10.1504/IJSD.2024.10062244
   
  
• Spatial expansion and liveability: a study of merged villages in Pune city, India  
  by Jyoti Chandiramani, Gargi Patil, Akash Raj 
  Abstract: Spatial expansion has been an inevitable side effect of urbanisation in India, which also affects the level of sustainable development. This study examines the challenges and opportunities resulting from the spatial expansion of Pune city (Maharashtra, India), which has experienced a 111% of spatial expansion due to the merger of 23 villages. The study analyses the impact of spatial expansion on select liveability parameters that are crucial in assessing sustainable development, based on Ease of Living Index (EoLI). Researchers collected primary data from several sources including field visits, expert opinions, and media analysis. Results indicate that the merged areas have resulted in both an opportunity and a challenge for Pune city. However, there is a need to improve the liveability aspects of the merged villages, which is the core principle of sustainable development, also since, per capita budgetary allocation for the city has shown a significant decline over the selected timeframe.
  Keywords: cities; liveability; Pune; spatial expansion; sustainable development; urban areas.
  DOI: 10.1504/IJSD.2024.10062326
   
  
• Partnering for sustainable transformation creating a win-win-win for NGOs, businesses, and the environment  
  by Claudia Brunner, Torsten Oltmanns 
  Abstract: The transformation towards sustainable production and decarbonisation are critical issues for businesses in this decade. This paper analyses business partnerships with NGOs as a means to foster this necessary transformation. It provides urgently needed opportunities to reduce complexity and time for permitting, e.g., for wind or solar installations, and offers an opportunity to develop innovation. By conducting expert interviews with both NGOs and businesses, this paper identifies success factors and hurdles for the cooperation of frenemies. By developing a model for impactful transformative partnerships, this paper closes a research gap. Transformative partnerships have vast potential and the power to achieve a win-win-win situation for NGOs, businesses, and the environment.
  Keywords: NGO; partnership; business; transformation; model; sustainable.
  DOI: 10.1504/IJSD.2024.10062566
   
  
• The influence of perceived brand social responsibility on consumers green purchasing behaviour: the mediating role of brand attachment  
  by Yan Zhang 
  Abstract: This study examines the complex link between brand social responsibility (BSRP) perception and its impact on consumers’ green purchasing behaviour (GPB). Grounded in social cognitive theory, this study explores that whether brand attachment (BA) acts as the mediating factor in how BSRP affects GPB. Additionally, the study explores the moderating role of incentive intention (IncI) in this dynamic relationship. Using data from 644 participants, the research draws a conclusion that BSRP positively influences GPB, emphasising the role of a brand's social responsibility in shaping sustainable consumer behaviour. BA is confirmed as a pivotal mediating factor, explaining how emotional bonds between consumers and responsible brands drive green purchases. Furthermore, the study uncovers the moderating impact of incentive intention (IncI) on the connection between BSRP and BA, highlighting influence factor affecting consumer behaviour in the context of socially responsible brands. These insights provide valuable implications for marketers and policymakers promoting sustainable consumption practices.
  Keywords: brand social responsibility; brand attachment; incentive intention; green purchasing behaviour.
  DOI: 10.1504/IJSD.2024.10062567
   
  
• Comprehensive evaluation method of marketing environmental quality under the background of sustainable development  
  by Bo An, Chang Liu 
  Abstract: In order to solve the problems of large relative average error of indicator weights, long calculation time, and low evaluation accuracy in traditional methods, the comprehensive evaluation method of marketing environmental quality under the background of sustainable development is proposed. The comprehensive evaluation index system of marketing environmental quality under the background of sustainable development was determined. The index data clustering was completed by using DPC algorithm and the weight of evaluation index was calculated by using principal component analysis method. The fuzzy comment set and evaluation matrix were established to obtain the fuzzy grey comprehensive evaluation results of marketing environmental quality, and the evaluation results were modified to complete the comprehensive evaluation of marketing environmental quality. The experimental results show that the maximum relative mean error of the index weight of this method is 0.091, the maximum weight calculation time is 2.947 s, the evaluation accuracy varies from 95% to 99%.
  Keywords: background of sustainable development; marketing environment; comprehensive evaluation; DPC algorithm; principal component analysis; fuzzy grey comprehensive evaluation.
  DOI: 10.1504/IJSD.2024.10062642
   
  
• The method of green tourism route planning under the sustainable development theory  
  by Wei Lu 
  Abstract: With the aim of shortening the length of ineffective tourism routes and reducing carbon emissions, this study proposes a new green tourism route planning method based on sustainable development theory. First, based on the theory of sustainable development theory, the information chain of tourism landscape elements is established to form an orderly organisational form of landscape factors. Then, the knowledge graph of tourist attractions is constructed. After crawling historical travel notes, the database of tourist attractions is established, and LDA is used to cluster tourist attractions. Finally, a route planning model is established with the optimisation goal of minimising the length of daily tourist routes and the carbon emissions generated. Experimental results show that, while visiting all ten scenic spots, the total length of the route planned by this method is 97.2 m, and the carbon emissions generated are only 3,992 kg, indicating that this method meets the requirements of sustainable development.
  Keywords: sustainable development; green tourism; tourism route planning; landscape factors; knowledge graph; latent Dirichlet allocation; route length; carbon emissions.
  DOI: 10.1504/IJSD.2024.10062643
   
  
• An evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights  
  by Shan Yang 
  Abstract: To solve the problems of low evaluation accuracy and large calculation error of indicator weights in traditional methods, an evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights is proposed. Firstly, determine the quality evaluation indicators for cultivating students in universities and conduct descriptive statistics on the sample characteristics of the indicator data. Secondly, the evaluation indicators are selected through the correlation coefficient matrix and factor loading. Finally, the entropy weight method is used to determine the weight of indicators, and a student training quality evaluation model based on the combination of entropy weight and variation coefficient weights is constructed to obtain the training quality score value. The experimental results show that the evaluation accuracy of the proposed method is close to 100%, and the minimum error in calculating indicator weights is about 0.05%.
  Keywords: combination of entropy weight; variation coefficient weights; college student training; evaluation; correlation coefficient matrix; factor loading.
  DOI: 10.1504/IJSD.2024.10062644
   
  
• Environmental resource assessment model design based on fuzzy control algorithm and GIS technology  
  by Lingwei Chen, Yuanliangrui Pan, Cheng Li 
  Abstract: For the purpose of sustainable development, the nation is progressively promoting the dissemination of wind energy resources. This paper utilises wind power generation as a case study and undertakes the establishment of an assessment model for environmental resources. Firstly, it scrutinises the challenges associated with acquiring wind resource distribution data, followed by the introduction of fuzzy control theory. Finally, the paper conducts wind resource assessment utilising the ArcGISEngine10.1 component, employing the processed data obtained through fuzzy logic techniques. Empirical findings evince that this model begets more precise parameters vis-
  Keywords: fuzzy control algorithm; wind energy resources; GIS; intelligent control; grid dispatch.
  DOI: 10.1504/IJSD.2024.10062667
   
  
• An interior design method based on the coupling of I-GWO and self-updating neural network under the background of green interaction  
  by Shasha Luo 
  Abstract: In the context of verdant interplay, interior design is progressively compelled to appraise the equilibrium between ecological sustainability and user experientiality. To this end, this manuscript postulates a novel interior design algorithm rooted in the interaction grey wolf algorithm (I-GWO) conjoined with a self-updating neural network. Initially, a tailored I-GWO is harnessed to fine-tune the interior design proposal, wherein the design quandary is transformed into an optimisation conundrum, thereby deploying the I-GWO to navigate the realm of optimal solutions. Subsequently, a bespoke self-updating neural network is architected, amalgamating convolutional neural networks (CNN) and long-short-term memory (LSTM), thereby refining the design blueprint even further. This contrived neural network evinces the innate capacity to autonomously assimilate and update weights and biases. The nomenclature and precepts of interior design are thereby assimilated through the synergy of the I-GWO and self-updating neural network. Finally, empirical attestations evince the algorithm’s meritorious aptitude in optimising interior design schemes while adeptly incorporating considerations of environmental sustainability. The outcomes evince a noteworthy 42.5% enhancement in temporal efficiency when compared to extant state-of-the-art algorithms. Furthermore, the proposed method attains the zenith in convergence efficacy when juxtaposed with six other state-of-the-art algorithms.
  Keywords: long-short-term memory; LSTM; optimisation; interior design; green interaction; neural network.
  DOI: 10.1504/IJSD.2024.10062694
   
  
• Study on urban rural spatial ecology and environmental planning from the perspective of human settlements theory  
  by Yang Zhang, Meng-jun Huang, Hongjing Wu, Ling Zhen 
  Abstract: In order to maintain the balance of nature, improve environmental quality, promote sustainable development, and make rational use of land resources, this paper studies urban-rural space ecology and environmental planning from the perspective of the theory of human settlements. Establish a functional evaluation index system, determine the ecological source of urban-rural space, construct a pattern of urban-rural space ecology and environmental security, calculate the resistance value of the ecological source through the combination weighting method, determine the ecological corridor and ecological nodes through the gravity model, divide the space of the control line through the growth boundary threshold, and improve the effectiveness of ecological and environmental planning. Experiments have shown that the highest cumulative resistance of each ecological source in the region is 9.2
  Keywords: human settlement environment theory; urban-rural space; ecology and environment; maximising dispersion; ecological corridor; ecological nodes.
  DOI: 10.1504/IJSD.2024.10062695
   
  
• An evaluation method of sustainable development level of agricultural economy under the economic new normal  
  by Shasha Zhang, Shu Liu 
  Abstract: The evaluation of agricultural economic sustainability plays a crucial role in promoting the sustainable development of agriculture. Therefore, an evaluation method of sustainable development level of agricultural economy under the economic new normal is proposed. Bartlett's sphericity test is used to determine the correlation between evaluation indicators under the new normal of the economy, and an evaluation indicator system is established. The combination weights of evaluation indicators are obtained through the expert method and entropy method. The comprehensive positive distance and comprehensive negative distance of evaluation objects are calculated using the interval scale method. This allows for the calculation of scores for each level of agricultural economic sustainability, resulting in relevant evaluation results. Experimental results show that the maximum correlation value of evaluation indicators for this method is 0.96, the maximum average relative error rate of indicator weights is 4.36%, and the accuracy ranges from 93.9% to 97.2%.
  Keywords: economic new normal; agricultural economy; sustainable development; evaluation; Bartlett's sphericity test; entropy method; interval scale.
  DOI: 10.1504/IJSD.2024.10062696
   
  
• Strategies for building a resource-saving and environmentally friendly society from the perspective of circular economy  
  by Liu Liu, Jia Li, Hangbo Liu, Xiaochen Wang, Qixin Zhang 
  Abstract: In this paper, based on the recycling economy perspective, discusses the resource-conserving environment-friendly society construction strategy. Firstly, the existing problems in current social construction were analysed, including resource waste, environmental pollution, and ecological damage. Then, strategies for building a resource-saving and environmentally friendly society from the perspective of circular economy were proposed, including promoting the circular economy model, strengthening resource management and monitoring, promoting sustainable consumption and production, and encouraging green technology innovation. These strategies aim to maximise resource utilisation, reduce environmental load, improve ecosystem stability, and enhance human well-being. By effectively implementing these strategies, a sustainable resource saving and environmentally friendly society can be built, achieving coordinated development of economy, environment, and society.
  Keywords: circular economy; resource saving type; environmentally friendly; social construction strategy.
  DOI: 10.1504/IJSD.2024.10062697
   
  
• Correlation analysis between market transformation and economic growth in the digital economy era  
  by YongChao Yang 
  Abstract: In order to analyse the impact of market transformation on economic industries and economic structure, this article takes the digital economy era as the research background and analyses the correlation between market transformation and economic growth. Firstly, analyse the market transformation in the digital economy era; then, the relationship between economic growth mode and economic growth rate is analysed through scattered point fitting graph, and a vector autoregression is constructed to realise the relationship modelling between market transformation and economic growth; finally, construct an orthogonal pulse response diagram between market transformation and economic growth, and analyse the correlation between market transformation and economic growth. Combining the content of modelling analysis, with market transformation as the main perspective, analyse the impact of digital technology on economic industries, the impact of market transformation on economic growth, and the impact of market transformation on economic structure and resource allocation.
  Keywords: digital economy era; market transformation; economic growth; vector autoregression; VAR; impulse response function.
  DOI: 10.1504/IJSD.2024.10062698
   
  
• Evaluation method of tourism environmental capacity in nature reserves based on data mining  
  by Juan Xie 
  Abstract: A new data mining based method for evaluating tourism environmental capacity in natural reserves is studied in this paper. Firstly, the evaluation index system is constructed according to the tourism environmental capacity dimension of nature reserves. Then, the index data of the evaluation index system is processed by extreme value normalisation to complete the pre-processing. Secondly, a data mining algorithm is introduced to optimise the data mining algorithm through weights and load items based on the processed index data, and an evaluation method is constructed to obtain the evaluation score. Finally, the weighted rank sum ratio is introduced, the rank sum ratio is calculated, and the weighted rank sum ratio is obtained by combining the weights. The evaluation method of data mining is optimised by this algorithm, and the tourism environmental capacity evaluation of nature reserves is realised. The experimental results show that the evaluation accuracy of this method is the highest at 97.8%, the evaluation confidence should be the highest at 0.99, and the PR curve is closest to the upper right corner, the results show that the method can improve the evaluation accuracy effectively.
  Keywords: data mining; nature reserves; tourism environment; capacity assessment; normalisation of extreme values; weighted rank sum ratio.
  DOI: 10.1504/IJSD.2024.10062699
   
  
• Evaluation method of rural ecotourism resource development potential based on entropy weight-TOPSIS model  
  by Fanqi Meng 
  Abstract: To solve the problems of low recall rate, high relative error rate of weight calculation and low accuracy in traditional methods for evaluating influencing factors, this study proposes an evaluation method of rural ecotourism resource development potential based on entropy weight-TOPSIS model. The spatial distribution characteristics and influencing factors of rural ecological tourism resources are determined, and an indicator system for evaluation is built. The weights of the indicators are determined using the entropy weighting method, and an entropy-weighted TOPSIS model is built. The evaluation indicator data such as agricultural landscapes, economic conditions, and ecological conditions are input into the model, and the evaluation results are obtained relevant results. Experimental results show that the recall rate of the proposed method reaches a maximum of 98.71%, the average relative error rate of the indicator weight calculation is 3.15%, and the accuracy is above 88.2%.
  Keywords: entropy weight-TOPSIS model; rural ecotourism; ecotourism resource; development potential; spatial distribution characteristics; influencing factors; weights of the indicators.
  DOI: 10.1504/IJSD.2024.10062700
   
  
• Monitoring of ecological environment change in tourist attraction based on remote sensing images  
  by Nan Wang 
  Abstract: Monitoring the changes in the ecological environment of tourist attractions is of great significance for protecting the environment, guiding tourism planning, promoting sustainable development, etc. Therefore, a monitoring method of ecological environment change in tourist attraction based on remote sensing images was proposed. Landsat TM remote sensing images were obtained for tourist attractions and geometric correction was performed. The mean shift filtering algorithm was used to denoise the remote sensing images, and the denoising results were segmented at multiple scales. Nonlinear support vector machines were used to classify the remote sensing images, and ecological indices such as biological abundance index, vegetation coverage index, and remote sensing ecological index were determined for monitoring environmental changes. The experimental results show that the monitoring results of this method have a small difference with the actual results, and the calculation time of the monitoring results varies within the range of 0.20.5 s.
  Keywords: remote sensing images; tourist attraction; ecological environment; monitoring; mean shift filtering algorithm; nonlinear support vector machine.
  DOI: 10.1504/IJSD.2024.10062701
   
  
• Distributed monitoring method of urban water environment pollution condition from the perspective of sustainable development  
  by Mingming Deng 
  Abstract: Based on the analysis of the main pollution characteristics of urban water environment, a distributed monitoring method of urban water environment pollution condition from the perspective of sustainable development based on multi-parameter autoregressive analysis is proposed. A constraint parameter model for spatio-temporal distribution characteristics analysis is constructed, and water eutrophication and pollution contribution degree of soil nitrogen pool are taken as the optimisation model parameters. The multivariate statistical method is adopted to detect the pollution principal component characteristics, and the quantitative fusion index parameter analysis is carried out based on both principal component analysis and cluster analysis to identify the pollution control factors affecting the water environment. The distributed monitoring of urban water environmental pollution is realised based on the characteristics change and the requirements of regulation targets. The experimental results show that the method has a good ability to express statistical characteristics and monitoring accuracy reached 99.8%, it can effectively monitor various pollution components.
  Keywords: sustainable development vision; urban water environment pollution; state distributed monitoring; principal component analysis; cluster analysis.
  DOI: 10.1504/IJSD.2024.10062702
   
  
• The construction status and optimisation strategies of an environmentally friendly society under the concept of sustainable development  
  by Changfei Liu, Jing An 
  Abstract: Owing to the long-term imbalance of China's industrial structure, non-renewable resources have entered a period of depletion. As a result, China has formulated a strategy for building an environmentally friendly society. Therefore, the construction status and optimisation strategies of an environmentally friendly society under the concept of sustainable development have been proposed. Build a comprehensive evaluation index system for the construction of an environmentally friendly society, and complete the current status analysis of the construction of an environmentally friendly society based on the comprehensive evaluation results. Develop optimisation strategies for the construction of an environmentally friendly society and promote the rapid construction of an environmentally friendly society. The case analysis results indicate that the optimisation strategies formulated can effectively reduce the energy use and pollution waste emissions of cities, and promote the construction of an environmentally friendly society in China while ensuring positive economic development.
  Keywords: sustainable development concept; environmentally friendly society; the current situation of social construction; optimisation strategy.
  DOI: 10.1504/IJSD.2024.10062703
   
  
• Optimisation method of regional logistics delivery path based on ant colony algorithm  
  by Yanhua Huang, Liying Su 
  Abstract: In order to effectively shorten the logistics delivery path and shorten the driving time, a regional logistics delivery path optimisation method based on ant colony optimisation algorithms was proposed. Considering the complexity of regional logistics delivery, the delivery area is divided based on factors such as customer location, demand, and time window information. Analyse the transportation conditions of regional logistics delivery paths, with the goal of minimising carbon emissions in the shortest possible time, and construct an optimisation function for regional logistics delivery paths. The ant colony optimisation algorithms are used to optimise the time and carbon emission parameters, solve the objective function, and finally obtain the optimal regional logistics delivery path. The experimental results show that using the proposed method can better solve the problem of regional logistics delivery path, shorten the path and driving time of logistics delivery.
  Keywords: ant colony algorithm; regional logistics delivery; path optimisation; driving time.
  DOI: 10.1504/IJSD.2024.10062704
   
  
• Formation mechanism and management strategy of logistics supply chain risk  
  by Yulong Wan, Xiaoying Bai 
  Abstract: In order to reduce logistics delays and improve logistics continuity, research is conducted on the formation mechanism and management strategies of logistics supply chain risks. Analyze the impact of logistics supply chain risks based on the overall structure of the logistics supply chain. This paper elaborates on the mechanism of logistics supply chain risk formation from the aspects of supply chain relationship closeness, external environmental factors, information asymmetry, globalization, and supply chain complexity. Finally, risk management strategies are proposed from the aspects of establishing supplier risk assessment and management mechanisms, diversifying supply chains and resource sources, strengthening information sharing and coordination mechanisms, warning and predicting risk events, and establishing flexible supply chain planning and inventory management strategies. Case studies have shown that the application of this strategy can reduce the delay of the logistics supply chain, and the interruption time of the supply chain can be reduced to 2.4h.
  Keywords: logistics supply chain; risk formation mechanism; management strategy; risk events.
  DOI: 10.1504/IJSD.2024.10062821
   
  
• Intelligent monitoring method for agricultural non-point source pollution based on remote sensing image changes  
  by Tiebo Sun, Meng Li, Weibing Wang, Chunyue Liu 
  Abstract: To overcome the problems of low monitoring coverage, low accuracy in pollution concentration and load monitoring in traditional methods, an intelligent monitoring method for agricultural non point source pollution based on remote sensing image changes is proposed. Based on Landsat ETM+ remote sensing images, a multi-layer perceptron is used to identify agricultural non-point source pollution targets. The Min-Cut algorithm is used for remote sensing image segmentation of agricultural non-point source pollution targets. Remote sensing image changes of agricultural non-point source pollution targets are detected based on the segmentation results and difference diagram. Intelligent monitoring of agricultural non-point source pollution is achieved by combining the detection results of remote sensing image changes with relevant monitoring indicators. Experimental results show that the monitoring coverage rate of the proposed method is above 96.3%, the mean accuracy of pollution concentration monitoring is 97.1%, the maximum accuracy of pollution load monitoring is 99.3%
  Keywords: remote sensing image changes; agricultural non-point source pollution; intelligent monitoring; Landsat ETM+ remote sensing images; Min-Cut algorithm; difference diagram; monitoring indicators.
  DOI: 10.1504/IJSD.2024.10062822
   
  
• Assessment of environmental pollution in rural tourism based on random forest algorithm  
  by Yi Zhao 
  Abstract: In order to overcome the problems of low accuracy, poor recall rate, and low evaluation time in rural tourism environmental pollution assessment, this paper proposes a rural tourism environmental pollution assessment method based on the random forest algorithm. Firstly, web crawler technology is used to collect data on rural tourism environmental pollution, mainly including garbage and waste discharge data, water pollution data, and air pollution data. Secondly, based on the collected pollution data, construct an environmental pollution assessment index system. Finally, the random forest algorithm is used to calculate the feature importance of the indicators, select the feature with the highest accuracy, and use the linear weighting method to calculate the degree of environmental pollution to obtain the evaluation results. The experimental results show that the evaluation accuracy of the method proposed in this paper is the highest at 99.6%, and the pollution level evaluation takes up to 3.5s
  Keywords: Random Forest Algorithm; Rural tourism environment; Pollution level assessment; Linear weighting method.
  DOI: 10.1504/IJSD.2024.10062823
   
  
• Assessment method of urban green transportation development level based on improved matter-element extension method  
  by Yuhua Wang, Aizeng Li, Shuaiyang Jiao, Yiwen Wang 
  Abstract: To solve the problems of high information loss rate, long data processing time, and low assessment accuracy in traditional assessment methods, an assessment method of urban green transportation development level based on improved matter-element extension method is proposed. According to the fitness and OWA operator weight values, assessment indicators are selected and an assessment indicator system is constructed. Principal component analysis is used to reduce the dimensionality of the assessment indicator data. The improved matter-element extension method is introduced to improve the determination method of classical domain and value domain. The city green transportation development level assessment model is constructed using the improved matter-element extension method, and the assessment results of the city green transportation development level are obtained. Experimental results show that the maximum information retention rate of the proposed method is 97.2%, the mean data processing time is 1.63s, and the assessment accuracy is above 97.6%
  Keywords: urban green transportation; development level; assessment method; OWA operator weight values; improved matter-element extension method.
  DOI: 10.1504/IJSD.2024.10062824
   
  
• Cost control method of assembled building construction under digital technology  
  by Yu Zhang 
  Abstract: In order to solve the shortcomings of the existing cost control methods for Prefabricated building, such as the project cost is higher than expected and the cost control deviation is large, this paper proposes a cost control method for prefabricated buildings under digital technology. First, the construction cost data of Prefabricated building are collected and preprocessed. Secondly, the data characteristics of the construction cost of Prefabricated building are extracted, and the construction cost estimation model of Prefabricated building is built using support vector mechanism. Finally, the kernel function is introduced to control the construction cost of the prefabricated building. After verification, it was demonstrated that the application of this method for cost control resulted in an EV greater than AC, a cost performance index (CPI) value greater than 1, and a final cost control deviation of 260,000 yuan. Small deviation, effective cost control methods.
  Keywords: digital technology; assembled building; SVM; support vector machine; RBF; radial basis function; cost control deviation.
  DOI: 10.1504/IJSD.2024.10062834
   
  
• Sustainable development of a low-carbon supply chain economy based on the internet of things and environmental responsibility  
  by Zhenhua He, Shurui Gu 
  Abstract: This paper takes the flexible resource attributes of the low-carbon supply chain and its resource allocation as the main research objects, analyses and discusses the flexible resource allocation of the low-carbon supply chain and its resource attribute characteristics, and then studies the effective allocation of the flexible resources of the low-carbon supply chain from the perspective of resource attributes based on low-carbon supply chain theory and methods. This work studies the solution to the mixed algorithm and the robustness of the model and algorithm for the low-carbon supply chain flexible resource allocation model. The results show that this method effectively solves the problem of how to achieve the flexible resource allocation of the low-carbon supply chain. The robustness analysis of the model and algorithm can reasonably solve the problem of how to achieve flexible resource allocation in the low-carbon supply chain.
  Keywords: sustainable development; internet of things; environmental responsibility; low-carbon supply chain.
  DOI: 10.1504/IJSD.2024.10062885
   
  
• BIM-based full lifecycle management and sustainability optimisation of water conservancy engineering  
  by Sha Li 
  Abstract: This paper conducted in-depth research on water conservancy project lifecycle management and its sustainability optimisation based on building information modelling technology. The experiment took a specific sewage treatment plant as the research object. The experimental results showed that the minimum error of the paper’s method in building modelling was only 0.001 cm, and the average error of each point was much smaller than that of other modelling methods. At the same time, it performed excellently in predicting the effectiveness of sewage treatment, achieving zero error in predicting the total phosphorus content. The error in the total cost prediction was only 0.3%, indicating that building information modelling can play a good role in resource allocation. This study has particular value for the entire lifecycle management and sustainable optimisation of water conservancy engineering and provides direction for subsequent research.
  Keywords: BIM technology; hydraulic engineering; 3D laser scanning; storm water management model; SWMM; particle swarm optimisation; PSO.
  DOI: 10.1504/IJSD.2024.10063033
   
  
• Exploring the effect of BERT and attention mechanisms on predicting futures prices in the green finance market  
  by Yue Liang 
  Abstract: As the green finance sector develops, there is an increasing demand for forecasting future prices. To investigate the influence of futures prices on green financial markets, an innovative technique is suggested that uses BERT and attention mechanisms. The foundations of futures price prognostication are primarily strengthened by a feature amalgamation methodology using an attentional strategy. Then, to facilitate deft deduction, a BERT-grounded approach is suggested for predicting future prices within the context of the green financial market. The empirical findings demonstrate that the mean absolute percentage error (MAPE) value obtained by the proposed methodology stands impressively at 0.653, reiterating the suggested paradigm’s clear efficacy. The study lays the foundation for implementing ecological fiscal stewardship and creating sustainable market strategies.
  Keywords: green finance; futures price prediction; feature fusion; attention mechanism; mean absolute percentage error; MAPE.
  DOI: 10.1504/IJSD.2024.10063103
   
  
• Digital innovations and green finance: accelerating carbon neutrality in enterprise sustainability  
  by Li Han, Congcong Duan, Zhenfei Yao 
  Abstract: Green finance (GF) is a pivotal driver for enhancing carbon-neutrality, ultimately fostering the sustainable development of enterprises. Drawing upon provincial panel data spanning 2007 to 2017, this study examines the impact of GF on carbon-neutrality and its mechanisms. The empirical findings highlight GF’s significant positive influence on achieving carbon-neutral goals, a relationship that withstands varying research methodologies. This analysis uncovers disparities in GF’s effectiveness in attaining these objectives, as well as spatial spillover effects. Notably, GF’s promotion of carbon-neutral goals follows a nonlinear pattern, emphasising the complexity of the relationship. Additionally, green innovation emerges as a mediating force within the GF-driven process of carbon neutralisation (CN). These conclusions hold important policy implications for expediting CN realisation and improving global climate conditions, ultimately contributing to the sustainable development of enterprises.
  Keywords: green finance; carbon neutralisation; carbon emissions; green development.
  DOI: 10.1504/IJSD.2024.10063173
   
  
• Internal and external factors motivate Generation Z's sustainable apparel consumption in China  
  by Li Zhang, Xiao Huang 
  Abstract: Recognising the escalating importance of sustainable apparel consumption among China’s Generation Z, this study integrated the theory of reasoned action with Rogers’ innovation-decision process to examine the influences of internal (past sustainable behaviours) and external (subjective norms) antecedents on consumers’ purchase intentions for sustainable apparel. This study also examined the persuasive mechanisms that mediated the relationships between these antecedents and purchase intentions, namely attitudes toward purchasing sustainable apparel and sustainable self-identity. Data was collected through an online survey from a convenience sample of 577 college students in China. The structural equation modelling results indicated that only subjective norms had a direct influence on Generation Z’s purchase intentions. Notably, both attitudes and sustainable self-identity mediated the influences of Generation Z’s past sustainable behaviours and subjective norms on purchase intentions. This study extended the utilisation of the theory of reasoned action and the innovation-decision process, offering valuable insights for marketers and policymakers.
  Keywords: sustainable apparel; past sustainable behaviours; subjective norms; sustainable self-identity; attitudes; purchase intentions; innovation-decision process; Generation Z; Gen Z.
  DOI: 10.1504/IJSD.2024.10063353
   
  
• Development strategy of transnational e-commerce logistics and distribution based on artificial intelligence and big data  
  by Zhenhua He, Liang Chen, Bin Liu 
  Abstract: This article combines artificial intelligence with e-commerce delivery to conduct in-depth research on the development strategy of cross-border e-commerce logistics delivery. On the basis of analysing the current situation and existing problems of logistics development, big data technology is used to provide database information queries, demonstrate how to achieve actual positioning, and propose business logistics distribution development strategies through asymmetric hybrid algorithms. Finally, experimental analysis is conducted. The experimental results show that compared with traditional delivery methods, the digital delivery of cross-border distribution construction has improved delivery efficiency by more than 25%, improving the overall performance of the distribution system. The conclusion indicates that the development strategy of cross-border e-commerce logistics distribution based on artificial intelligence and big data can effectively improve the efficiency of logistics distribution systems, and help provide a new perspective for the development of e-commerce logistics.
  Keywords: AI and big data; cross-border e-commerce; artificial intelligence; big data analysis; cross border e-commerce delivery distribution.
  DOI: 10.1504/IJSD.2024.10063473