K-means analysis of construction projects in port waterfronts

被引:0
|
作者
Ansorena I.L. [1 ]
机构
[1] Polytechnic University of Madrid, ETSI Caminos, Canales y Puertos, C/Profesor Aranguren s/n, Madrid
关键词
alternatives; cluster analysis; dataset; decision analysis; decision making; emblematic projects; k-means; port-city; similarity search; waterfront;
D O I
10.1504/IJADS.2023.133126
中图分类号
学科分类号
摘要
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. © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:525 / 544
页数:19
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