Template-Type: ReDIF-Article 1.0
Author-Name: Shulei Qi
Author-X-Name-First: Shulei
Author-X-Name-Last: Qi
Title: Assessment of clean energy development path based on carbon emission data: achieving sustainable development goals
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.
Journal: Int. J. of Sustainable Development
Pages: 24-42
Issue: 1
Volume: 28
Year: 2025
Keywords: carbon emission data; holt-winters method; clean energy; sustainable development goals; development path.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yan Zhang
Author-X-Name-First: Yan
Author-X-Name-Last: Zhang
Title: The influence of perceived brand social responsibility on consumers' green purchasing behaviour: the mediating role of brand attachment
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 factors affecting consumer behaviour in the context of socially responsible brands. These insights provide valuable implications for marketers and policymakers promoting sustainable consumption practices.
Journal: Int. J. of Sustainable Development
Pages: 58-72
Issue: 1
Volume: 28
Year: 2025
Keywords: brand social responsibility; brand attachment; incentive intention; green purchasing behaviour.
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Template-Type: ReDIF-Article 1.0
Author-Name: Lingwei Chen
Author-X-Name-First: Lingwei
Author-X-Name-Last: Chen
Author-Name: Yuanliangrui Pan
Author-X-Name-First: Yuanliangrui
Author-X-Name-Last: Pan
Author-Name: Cheng Li
Author-X-Name-First: Cheng
Author-X-Name-Last: Li
Title: Environmental resource assessment model design based on fuzzy control algorithm and GIS technology
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-à-vis alternative resolutions, culminating in a 5.2% augmentation in the efficacy of wind power harnessing via the sagacious instantiation of the fuzzy control algorithm. The wind resource distribution cartography of Minnesota, as ascertained by the system, evinces consonance with the spatial dispersal of extant wind agrarian tracts, with wind energy density oscillating from 562.0021 at diverse sites, attaining a zenith of 673.868.
Journal: Int. J. of Sustainable Development
Pages: 73-89
Issue: 1
Volume: 28
Year: 2025
Keywords: fuzzy control algorithm; wind energy resources; GIS; intelligent control; grid dispatch.
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Template-Type: ReDIF-Article 1.0
Author-Name: Shasha Luo
Author-X-Name-First: Shasha
Author-X-Name-Last: Luo
Title: An interior design method based on the coupling of I-GWO and self-updating neural network under the background of green interaction
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.
Journal: Int. J. of Sustainable Development
Pages: 43-57
Issue: 1
Volume: 28
Year: 2025
Keywords: long-short-term memory; LSTM; optimisation; interior design; green interaction; neural network.
File-URL: http://www.inderscience.com/link.php?id=143109
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Template-Type: ReDIF-Article 1.0
Author-Name: Zhenhua He
Author-X-Name-First: Zhenhua
Author-X-Name-Last: He
Author-Name: Shurui Gu
Author-X-Name-First: Shurui
Author-X-Name-Last: Gu
Title: Sustainable development of a low-carbon supply chain economy based on the internet of things and environmental responsibility
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.
Journal: Int. J. of Sustainable Development
Pages: 1-23
Issue: 1
Volume: 28
Year: 2025
Keywords: sustainable development; internet of things; environmental responsibility; low-carbon.
File-URL: http://www.inderscience.com/link.php?id=143113
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:1:p:1-23

Template-Type: ReDIF-Article 1.0
Author-Name: Li Han
Author-X-Name-First: Li
Author-X-Name-Last: Han
Author-Name: Congcong Duan
Author-X-Name-First: Congcong
Author-X-Name-Last: Duan
Author-Name: Zhenfei Yao
Author-X-Name-First: Zhenfei
Author-X-Name-Last: Yao
Title: Digital innovations and green finance: accelerating carbon neutrality in enterprise sustainability
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.
Journal: Int. J. of Sustainable Development
Pages: 106-123
Issue: 1
Volume: 28
Year: 2025
Keywords: GF; CN; carbon-emission; green-development.
File-URL: http://www.inderscience.com/link.php?id=143116
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:1:p:106-123

Template-Type: ReDIF-Article 1.0
Author-Name: Man Li
Author-X-Name-First: Man
Author-X-Name-Last: Li
Author-Name: You Xu
Author-X-Name-First: You
Author-X-Name-Last: Xu
Author-Name: Juan Gao
Author-X-Name-First: Juan
Author-X-Name-Last: Gao
Title: Urban planning and land use using spatiotemporal evolution information graph model
Abstract:
The purpose of this study was to use a spatiotemporal evolution information graph model to simulate and predict urban land use (abbreviated as LU for convenience) patterns and propose reasonable urban development plans. The calculation of LU pattern based on a fractal model calculated the fractal dimension and patch density of LU, analysed urban spatial structure and divided urban planning (abbreviated as UP for convenience) land into residential land, industrial land, commercial land, public land and green space. The dimensions of these five modules were experimentally analysed. From 2002 to 2012, the dimension D in residential underground spaces was 1.4861-1.5847; that of the industrial underground was 1.4027-1.4457; that of the commercial underground was 1.1231-1.3365; that of the public underground was 1.3149-1.3456; that of the green underground was 0.9567-1.1627. From 2012 to 2022, the dimension D of residential land, industrial land, commercial land, public land and green underground increased to 1.6127, 1.4527, 1.3985, 1.3524 and 1.3357. From the perspective of patch density, the order of change amplitude was residential land > industrial land > public land > commercial land > green land.
Journal: Int. J. of Sustainable Development
Pages: 90-105
Issue: 1
Volume: 28
Year: 2025
Keywords: spatiotemporal evolution; urban planning; geographic information system; patch density; PD.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:1:p:90-105

Template-Type: ReDIF-Article 1.0
Author-Name: Shikhar Dua
Author-X-Name-First: Shikhar
Author-X-Name-Last: Dua
Author-Name: Krishna Kumar Dadsena
Author-X-Name-First: Krishna Kumar
Author-X-Name-Last: Dadsena
Title: Circular economy integration in oil and gas sector: case of MENA countries
Abstract:
One of the world's major concerns is the impact of climate change. This case study aims to use a qualitative approach to examine how the oil and gas industry in the Middle East and North African (MENA) countries has embraced the circular economy (CE) concept. Thematic analysis was adopted as the research method in this study. A purposeful intensity sampling method was adopted. Responses were obtained from fifteen oil and gas industry experts working in MENA countries through one on one interviews. The analysis of the interaction involving the adoption of the circular economy in the oil and gas industry in MENA countries revealed three main themes: 1) the organisation's inclination towards CE; 2) innovations in CE adoption; 3) external pressure to adopt CE. The results show that the MENA countries' oil and gas industries are making good progress toward adopting CE.
Journal: Int. J. of Sustainable Development
Pages: 124-146
Issue: 1
Volume: 28
Year: 2025
Keywords: circular economy; oil and gas; MENA; organisational factors; external pressure; innovations; thematic analysis.
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Template-Type: ReDIF-Article 1.0
Author-Name: Jyoti Chandiramani
Author-X-Name-First: Jyoti
Author-X-Name-Last: Chandiramani
Author-Name: Gargi Patil
Author-X-Name-First: Gargi
Author-X-Name-Last: Patil
Author-Name: Akash Raj
Author-X-Name-First: Akash
Author-X-Name-Last: Raj
Title: Spatial expansion and liveability: a study of merged villages in Pune City, India
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% spatial expansion due to the merger of 23 villages. The study analyses the impact of spatial expansion on selected 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 because per capita budgetary allocation for the city has shown a significant decline over the selected timeframe.
Journal: Int. J. of Sustainable Development
Pages: 375-403
Issue: 2/3
Volume: 28
Year: 2025
Keywords: cities; liveability; Pune; spatial expansion; sustainable development; urban areas.
File-URL: http://www.inderscience.com/link.php?id=145799
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:375-403

Template-Type: ReDIF-Article 1.0
Author-Name: Bo An
Author-X-Name-First: Bo
Author-X-Name-Last: An
Author-Name: Chang Liu
Author-X-Name-First: Chang
Author-X-Name-Last: Liu
Title: Comprehensive evaluation method of marketing environmental quality under the background of sustainable development
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%-99%.
Journal: Int. J. of Sustainable Development
Pages: 356-374
Issue: 2/3
Volume: 28
Year: 2025
Keywords: background of sustainable development; marketing environment; comprehensive evaluation; DPC algorithm; principal component analysis; PCA; fuzzy grey comprehensive evaluation.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:356-374

Template-Type: ReDIF-Article 1.0
Author-Name: Wei Lu
Author-X-Name-First: Wei
Author-X-Name-Last: Lu
Title: The method of green tourism route planning under the sustainable development theory
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 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.
Journal: Int. J. of Sustainable Development
Pages: 340-355
Issue: 2/3
Volume: 28
Year: 2025
Keywords: sustainable development; green tourism; tourism route planning; landscape factors; knowledge graph; latent Dirichlet allocation; LDA; route length; carbon emissions.
File-URL: http://www.inderscience.com/link.php?id=145801
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:340-355

Template-Type: ReDIF-Article 1.0
Author-Name: Shan Yang
Author-X-Name-First: Shan
Author-X-Name-Last: Yang
Title: An evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights
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%.
Journal: Int. J. of Sustainable Development
Pages: 307-321
Issue: 2/3
Volume: 28
Year: 2025
Keywords: combination of entropy weight; variation coefficient weights; college student training; evaluation; correlation coefficient matrix; factor loading.
File-URL: http://www.inderscience.com/link.php?id=145802
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:307-321

Template-Type: ReDIF-Article 1.0
Author-Name: Yang Zhang
Author-X-Name-First: Yang
Author-X-Name-Last: Zhang
Author-Name: Meng-Jun Huang
Author-X-Name-First: Meng-Jun
Author-X-Name-Last: Huang
Author-Name: Hongjing Wu
Author-X-Name-First: Hongjing
Author-X-Name-Last: Wu
Author-Name: Ling Zhen
Author-X-Name-First: Ling
Author-X-Name-Last: Zhen
Title: Study on urban rural spatial ecology and environmental planning from the perspective of human settlements theory
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. To do this, we 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 9.2×10<SUP align="right"><SMALL>4</SMALL></SUP>, with a minimum cumulative resistance of 3×10<SUP align="right"><SMALL>4</SMALL></SUP>, the landscape spread and richness index of each ecological source area have significantly improved, which can significantly improve the urban and rural ecological environment, and enhance people's comfort and satisfaction in living.
Journal: Int. J. of Sustainable Development
Pages: 147-168
Issue: 2/3
Volume: 28
Year: 2025
Keywords: human settlement environment theory; urban-rural space; ecology and environment; maximising dispersion; ecological corridor; ecological nodes.
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Template-Type: ReDIF-Article 1.0
Author-Name: Shasha Zhang
Author-X-Name-First: Shasha
Author-X-Name-Last: Zhang
Author-Name: Shu Liu
Author-X-Name-First: Shu
Author-X-Name-Last: Liu
Title: An evaluation method of sustainable development level of agricultural economy under the economic new normal
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%.
Journal: Int. J. of Sustainable Development
Pages: 169-184
Issue: 2/3
Volume: 28
Year: 2025
Keywords: economic new normal; agricultural economy; sustainable development; evaluation; Bartlett's sphericity test; entropy method; interval scale.
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Template-Type: ReDIF-Article 1.0
Author-Name: Liu Liu
Author-X-Name-First: Liu
Author-X-Name-Last: Liu
Author-Name: Jia Li
Author-X-Name-First: Jia
Author-X-Name-Last: Li
Author-Name: Hangbo Liu
Author-X-Name-First: Hangbo
Author-X-Name-Last: Liu
Author-Name: Xiaochen Wang
Author-X-Name-First: Xiaochen
Author-X-Name-Last: Wang
Author-Name: Qixin Zhang
Author-X-Name-First: Qixin
Author-X-Name-Last: Zhang
Title: Strategies for building a resource-saving and environmentally friendly society from the perspective of circular economy
Abstract:
Based on the recycling economy perspective, this paper discusses the resource-conserving environment-friendly society construction strategy. Firstly, the existing problems in current social construction are 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 are 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.
Journal: Int. J. of Sustainable Development
Pages: 185-197
Issue: 2/3
Volume: 28
Year: 2025
Keywords: from the perspective of circular economy; resource saving type; environmentally friendly; social construction strategy.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:185-197

Template-Type: ReDIF-Article 1.0
Author-Name: Yongchao Yang
Author-X-Name-First: Yongchao
Author-X-Name-Last: Yang
Title: Correlation analysis between market transformation and economic growth in the digital economy era
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, we 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, we 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.
Journal: Int. J. of Sustainable Development
Pages: 198-213
Issue: 2/3
Volume: 28
Year: 2025
Keywords: digital economy era; market transformation; economic growth; vector autoregression; VAR; impulse response function.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:198-213

Template-Type: ReDIF-Article 1.0
Author-Name: Juan Xie
Author-X-Name-First: Juan
Author-X-Name-Last: Xie
Title: Evaluation method of tourism environmental capacity in nature reserves based on data mining
Abstract:
A new data mining based method for evaluating tourism environmental capacity in nature 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.
Journal: Int. J. of Sustainable Development
Pages: 214-234
Issue: 2/3
Volume: 28
Year: 2025
Keywords: data mining; nature reserves; tourism environment; capacity assessment; normalisation of extreme values; weighted rank sum ratio.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:214-234

Template-Type: ReDIF-Article 1.0
Author-Name: Fanqi Meng
Author-X-Name-First: Fanqi
Author-X-Name-Last: Meng
Title: Evaluation method of rural ecotourism resource development potential based on an entropy-weighted TOPSIS model
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 an entropy-weighted 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%.
Journal: Int. J. of Sustainable Development
Pages: 235-251
Issue: 2/3
Volume: 28
Year: 2025
Keywords: entropy-weighted TOPSIS model; rural ecotourism; ecotourism resource; development potential; spatial distribution characteristics; influencing factors; weights of the indicators.
File-URL: http://www.inderscience.com/link.php?id=145808
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:235-251

Template-Type: ReDIF-Article 1.0
Author-Name: Nan Wang
Author-X-Name-First: Nan
Author-X-Name-Last: Wang
Title: Monitoring of ecological environment change in tourist attractions based on remote sensing images
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 attractions based on remote sensing images is 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 0.2-0.5 s.
Journal: Int. J. of Sustainable Development
Pages: 252-269
Issue: 2/3
Volume: 28
Year: 2025
Keywords: remote sensing images; tourist attraction; ecological environment; monitoring; mean shift filtering algorithm; nonlinear support vector machine.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:252-269

Template-Type: ReDIF-Article 1.0
Author-Name: Mingming Deng
Author-X-Name-First: Mingming
Author-X-Name-Last: Deng
Title: Distributed monitoring method of urban water environment pollution condition from the perspective of sustainable development
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.
Journal: Int. J. of Sustainable Development
Pages: 270-286
Issue: 2/3
Volume: 28
Year: 2025
Keywords: sustainable development vision; urban water environment pollution; state distributed monitoring; principal component analysis; cluster analysis.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:270-286

Template-Type: ReDIF-Article 1.0
Author-Name: Changfei Liu
Author-X-Name-First: Changfei
Author-X-Name-Last: Liu
Author-Name: Jing An
Author-X-Name-First: Jing
Author-X-Name-Last: An
Title: The construction status and optimisation strategies of an environmentally friendly society under the concept of sustainable development
Abstract:
Due 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.
Journal: Int. J. of Sustainable Development
Pages: 287-306
Issue: 2/3
Volume: 28
Year: 2025
Keywords: sustainable development concept; environmentally friendly society; the current situation of social construction; optimisation strategy.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yanhua Huang
Author-X-Name-First: Yanhua
Author-X-Name-Last: Huang
Author-Name: Liying Su
Author-X-Name-First: Liying
Author-X-Name-Last: Su
Title: Optimisation method of regional logistics delivery path based on ant colony algorithm
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 is 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, and shorten the path and driving time of logistics delivery.
Journal: Int. J. of Sustainable Development
Pages: 322-339
Issue: 2/3
Volume: 28
Year: 2025
Keywords: ant colony algorithm; regional logistics delivery; path optimisation; driving time.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:322-339

Template-Type: ReDIF-Article 1.0
Author-Name: Vrushal Khade
Author-X-Name-First: Vrushal
Author-X-Name-Last: Khade
Author-Name: Christophe Estay
Author-X-Name-First: Christophe
Author-X-Name-Last: Estay
Title: Frugal innovation and sustainable development: a holy grail for rural transformation
Abstract:
Frugal innovation, rooted in the principles of affordability, accessibility, and sustainability, has gained significant attention as a means to address the unique challenges faced by rural areas. This article explores the intersection of frugal innovation, sustainable development, and the role of multinational companies (MNCs) in driving positive change in rural communities through the frugal management canvas. Sustainable development lies at the heart of frugal innovation in rural contexts. Through alignment with the United Nations' Sustainable Development Goals (SDGs), MNCs can contribute to poverty eradication, improved healthcare, quality education, access to clean energy, and other critical development targets. Furthermore, by establishing local partnerships, empowering local entrepreneurs, and integrating the principles of frugal innovation into their business models, MNCs can effectively address the unique challenges faced by rural communities and foster long-term sustainable development. MNCs have the opportunity to create lasting social impact, economic growth, and environmental sustainability in rural communities.
Journal: Int. J. of Sustainable Development
Pages: 404-429
Issue: 2/3
Volume: 28
Year: 2025
Keywords: frugal innovation; reverse innovation; grassroots innovation; sustainable development; Sustainable Development Goals; SDGs; frugal management canvas.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:2/3:p:404-429

Template-Type: ReDIF-Article 1.0
Author-Name: Lifeng Li
Author-X-Name-First: Lifeng
Author-X-Name-Last: Li
Title: Evaluation method of English teaching quality based on Markov Chain
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 fewer errors and are more comprehensive.
Journal: Int. J. of Sustainable Development
Pages: 431-442
Issue: 4
Volume: 28
Year: 2025
Keywords: teaching quality evaluation; analytic hierarchy process; AHP; residual sequence; Markov chain.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:4:p:431-442

Template-Type: ReDIF-Article 1.0
Author-Name: Siyuan Yuan
Author-X-Name-First: Siyuan
Author-X-Name-Last: Yuan
Title: An online English teaching quality assessment method based on PCA-SVM
Abstract:
To reduce the noise in online teaching quality evaluation, improve the correlation of indicator selection, and obtain scientific online teaching quality evaluation results, a PCA-SVM-based English online teaching quality evaluation method is proposed. This method first selects evaluation indicators and combines them with the PCA algorithm to extract the main components of the evaluation indicators. Then, the SVM algorithm is introduced to obtain its optimal classification hyperplane, 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, an English online teaching quality classification evaluation model is designed. 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 0.55 dB, which is superior to the comparison method and has certain feasibility.
Journal: Int. J. of Sustainable Development
Pages: 443-457
Issue: 4
Volume: 28
Year: 2025
Keywords: PCA-SVM; online English teaching; quality assessment; evaluation function; hyperplane segmentation.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yang Yang
Author-X-Name-First: Yang
Author-X-Name-Last: Yang
Author-Name: Zhencun Wang
Author-X-Name-First: Zhencun
Author-X-Name-Last: Wang
Author-Name: Zhanlei Shang
Author-X-Name-First: Zhanlei
Author-X-Name-Last: Shang
Author-Name: Zhan Li
Author-X-Name-First: Zhan
Author-X-Name-Last: Li
Author-Name: Irving Domingo L. Rio
Author-X-Name-First: Irving Domingo L.
Author-X-Name-Last: Rio
Author-Name: Merle L. Junsay
Author-X-Name-First: Merle L.
Author-X-Name-Last: Junsay
Title: The educational quality evaluation method of college online teaching mode under the background of big data
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, the online teaching mode in universities is analysed and an evaluation system is built. Secondly, clustering similarity is calculated based on attribute distance to complete the clustering division of education quality. Then, the association rule algorithm in big data technology is used 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.
Journal: Int. J. of Sustainable Development
Pages: 458-474
Issue: 4
Volume: 28
Year: 2025
Keywords: online teaching mode; attribute distance; consistent matrix; big data technology; association rule algorithm.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:4:p:458-474

Template-Type: ReDIF-Article 1.0
Author-Name: Jing Li
Author-X-Name-First: Jing
Author-X-Name-Last: Li
Author-Name: Lifen Hu
Author-X-Name-First: Lifen
Author-X-Name-Last: Hu
Title: The impact of multimedia mobile terminal devices on students' comprehensive learning quality
Abstract:
In order to improve students comprehensive learning quality, the influence of multimedia mobile terminal equipment on students' comprehensive learning quality is studied. First of all, the characteristics of multimedia mobile terminal equipment are analysed, mainly including high performance and powerful multimedia functions, excellent human-computer interaction performance, portability, openness and privacy. Secondly, the influence of multimedia mobile terminal equipment on students' learning is analysed from seven aspects. Finally, the experimental group class and the control group class were set up to analyse the influence of students' comprehensive learning quality. The results show that 66.35% of students think their listening ability has been significantly improved, 67.78% think their knowledge accumulation ability has been significantly improved, and 63.72% think their independent learning ability has been significantly improved. Therefore, it shows that the rational use of multimedia mobile terminal equipment in class can improve the comprehensive learning quality of students.
Journal: Int. J. of Sustainable Development
Pages: 475-486
Issue: 4
Volume: 28
Year: 2025
Keywords: multimedia mobile terminal equipment; the quality of students' comprehensive learning; human machine interaction function; multimedia features.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:4:p:475-486

Template-Type: ReDIF-Article 1.0
Author-Name: Ye He
Author-X-Name-First: Ye
Author-X-Name-Last: He
Author-Name: Wenbin Li
Author-X-Name-First: Wenbin
Author-X-Name-Last: Li
Title: An online teaching quality evaluation method based on improved entropy method in the context of sustainable development
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%.
Journal: Int. J. of Sustainable Development
Pages: 529-541
Issue: 4
Volume: 28
Year: 2025
Keywords: sustainable development; improved entropy method; online teaching; quality assessment; standard transformation method.
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Template-Type: ReDIF-Article 1.0
Author-Name: Danting Yin
Author-X-Name-First: Danting
Author-X-Name-Last: Yin
Title: Evaluation of the effectiveness of graded English teaching reform in a mixed learning environment
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.
Journal: Int. J. of Sustainable Development
Pages: 487-500
Issue: 4
Volume: 28
Year: 2025
Keywords: mixed learning environment; English level teaching; teaching reform; effect evaluation; fuzzy comprehensive evaluation.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:4:p:487-500

Template-Type: ReDIF-Article 1.0
Author-Name: Zhanqiu Yu
Author-X-Name-First: Zhanqiu
Author-X-Name-Last: Yu
Title: Evaluation method of online education sustainable development effect based on data mining
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.
Journal: Int. J. of Sustainable Development
Pages: 501-514
Issue: 4
Volume: 28
Year: 2025
Keywords: data mining; online education; sustainable development; probability and statistics; fuzzy set transformation.
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Template-Type: ReDIF-Article 1.0
Author-Name: Kun Li
Author-X-Name-First: Kun
Author-X-Name-Last: Li
Title: Evaluation method of English teaching reform effect based on GWO-SVM
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, a multiple evaluation index system is built 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.
Journal: Int. J. of Sustainable Development
Pages: 515-528
Issue: 4
Volume: 28
Year: 2025
Keywords: fuzzy theory; GWO algorithm; range transformation; English teaching reform; support vector machine; SVM.
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Handle: RePEc:ids:ijsusd:v:28:y:2025:i:4:p:515-528