Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai
Journal article, 2022

Commute behaviors, as the primary part of urban mobility, remains largely underexplored, especially for bike-sharing users. Recent development in data availability open up new possibilities to delve into bike-sharing commuting over long-term periods on a large scale. This study proposes a methodological framework that enables a logical identification of bike-sharing commuting activities and a comprehensive examination of urban built environment effects on shaping commuting patterns. To this end, a series of data mining methods are developed in support of the identification of regular bike-sharing commuting, and the concepts of home-work balance and mobility trend are proposed to describe underlying commuting patterns. The XGBoost model and Necessary Condition Analysis (NCA) method are then adopted respectively to test the sufficiency and necessity of built environment on commuting patterns. The results confirm the massive existence of individual-level bike-sharing commuting activities and the pivotal role of bike-sharing in urban commuting. Also, the spatial distributions of home-work balance and mobility trend driven by job-housing separation show different clustering patterns. Besides, the synergy of sufficiency analysis and necessity analysis investigates the complex interplay of built environment-commuting patterns. This critical analysis of bike-sharing commute provides insights into sustainable transit planning and urban design.

Policy

Sufficient condition and necessary condition

Built environment

Bike-sharing commute

Green mobility

Commuting patterns

Author

Hui Bi

Swiss Federal Institute of Technology in Zürich (ETH)

Southeast University

Aoyong Li

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Tsinghua University

Mingzhuang Hua

Technical University of Denmark (DTU)

Southeast University

He Zhu

Northeastern University

Zhirui Ye

Southeast University

Transport Policy

0967-070X (ISSN) 1879310x (eISSN)

Vol. 129 51-65

Subject Categories

Media and Communication Technology

Architecture

Human Geography

DOI

10.1016/j.tranpol.2022.10.004

More information

Latest update

10/25/2023