A Hybrid Model for Evaluating the Bikeability of Urban Bicycle Systems
學年 111
學期 2
出版（發表）日期 2023-02-02
作品名稱 A Hybrid Model for Evaluating the Bikeability of Urban Bicycle Systems
作品名稱（其他語言）
著者 Chao-Che Hsu; Ya-Wen Kuo; James J. H. Liou
單位
出版者
著錄名稱、卷期、頁數 Axioms 2023 12(2), p.155
摘要 Improving people’s willingness to ride bicycles has become the main green transportation policy of the government in the world. Bikeability is an important factor affecting the willingness to ride. Since the urban riding environment is more complex than the suburbs, it is necessary to establish a complete urban bikeability evaluation framework. This study applies Bayesian BWM (Best Worst Method) and modified VIKOR to develop an urban bikeability evaluation framework. First, this study collects criteria affecting urban bikeability through literature review and experts’ surveys to develop a novel evaluation framework. Second, the Bayesian BWM was used to evaluate the relative weights of criteria and dimensions. Finally, the modified VIKOR was used to evaluate the riding environment of urban bicycle systems. The modified VIKOR replaces the relatively good concept as the aspiration level, which can effectively reflect the real situation. This study used two cities of Taiwan as case studies to demonstrate the usefulness and effectiveness of the proposed model. The results show that “completeness of facilities” is the most important dimension and “maintenance of bicycle pavements”, “width of bicycle lanes”, and “separation of bicycle lanes and car lanes” are the critical criteria. Based on the findings, some management implications and improving strategies are provided.
關鍵字 bike;bikeability;green transportation;Bayesian BWM;modified VIKOR
語言 en_US
ISSN 2075-1680
期刊性質 國內
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123429 )

SDGS 優質教育,永續城市與社區