Impact-Asymmetric Analysis of Bike-Sharing Residents’ Satisfaction: A Case Study of Harbin, China

Lixuan Zhao, Dewei Fang (), Yang Cao (), Shan Sun, Liu Han, Yang Xue and Qian Zheng
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Lixuan Zhao: College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Dewei Fang: College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Yang Cao: Academic Affairs Office, Northeast Forestry University, Harbin 150040, China
Shan Sun: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Liu Han: College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Yang Xue: Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China
Qian Zheng: CAUPD Beijing Planning and Design Consultants Co., Ltd., Hainan Branch, Haikou 570100, China

Sustainability, 2023, vol. 15, issue 2, 1-19

Abstract: Harbin, China, has a large population density and a large number of motor vehicles. To alleviate traffic congestion, based on the survey data of bike-sharing riders in the new and old urban areas of Harbin in May 2022, this paper uses an impact-asymmetric analysis and gradient enhancement decision tree to analyse the asymmetric relationship between bike-sharing travel environment elements and cyclists’ satisfaction, and the optimisation strategy for the bike-sharing riding environment was obtained so that more residents can choose to ride. This research shows that the infrastructure of the motorway in the old urban area had the greatest impact on the overall satisfaction, while the travel quality of the shared bikes in the new urban area had the greatest impact on the overall satisfaction. In addition, due to the differences in urban environments and satisfaction, planning directions are different when satisfying cyclists in the new and old urban areas. The old urban area should emphasise cycling comfort and road coherence to provide a good travel environment; however, the new urban area should focus on the operation of shared bikes to meet the needs of cyclists. Therefore, future research should formulate refined improvement strategies for different regions.

Keywords: impact-asymmetry analysis; gradient boosting decision trees; bike sharing; travel environment; satisfaction; green transport; sustainable transportation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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