Title: K-means analysis of construction projects in port waterfronts

Authors: Iñigo L. Ansorena

Addresses: Polytechnic University of Madrid, ETSI Caminos, Canales y Puertos, C/Profesor Aranguren s/n, Madrid 28040, Spain

Abstract: Choosing the best construction project on the city's waterfront is a difficult decision since the view of the waterfront is one of the main attractions for tourism in many cities. In a competition context, it is essential for port authorities to choose the project that best meets not only the needs of the port-city but also the expectations of the citizens and visitors. The present study explained and explored the citizens' opinion about a construction project competition. A structured and undisguised questionnaire was developed and used to collect the primary data from 535 respondents. Conceptual model was investigated by k-means clustering method. The study delivered detailed insight on various elements used for analysis and revealed the alternatives that attracted more interest. The general framework presented in this article can help decision-makers to find the best construction projects.

Keywords: decision making; alternatives; similarity search; dataset; port-city; cluster analysis; k-means; waterfront; emblematic projects; decision analysis.

DOI: 10.1504/IJADS.2023.133126

International Journal of Applied Decision Sciences, 2023 Vol.16 No.5, pp.525 - 544

Received: 26 Oct 2021
Accepted: 10 Apr 2022

Published online: 01 Sep 2023 *

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