Built Environment Correlates of the Propensity of Walking and Cycling

Longzhu Xiao, Linchuan Yang, Jixiang Liu*, Hongtai Yang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

19 Citations (Scopus)
90 Downloads (CityUHK Scholars)

Abstract

Walking and cycling are not only frequently-used modes of transport but also popular physical activities. They are beneficial to traffic congestion mitigation, air pollution reduction, and public health promotion. Hence, examining and comparing the built environment correlates of the propensity of walking and cycling is of great interest to urban practitioners and decision-makers and has attracted extensive research attention. However, existing studies mainly look into the two modes separately or consider them as an integral (i.e., active travel), and few compare built environment correlates of their propensity in a single study, especially in the developing world context. Thus, this study, taking Xiamen, China, as a case, examines the built environment correlates of the propensity of walking and cycling simultaneously and compares the results wherever feasible. It found (1) built environment correlates of the propensity of walking and cycling differ with each other largely in direction and magnitude; (2) land use mix, intersection density, and bus stop density are positively associated with walking propensity, while the distance to the CBD (Central Business District) is a negative correlate; (3) as for cycling propensity, only distance to CBD is a positive correlate, and job density, intersection density, and bus stop density are all negative correlates. The findings of this study have rich policy implications for walking and cycling promotion interventions.
Original languageEnglish
Article number8752
JournalSustainability (Switzerland)
Volume12
Issue number20
Online published21 Oct 2020
DOIs
Publication statusPublished - Oct 2020

Research Keywords

  • Built environment
  • China
  • Comparative study
  • Cycling
  • Propensity
  • Walking

Publisher's Copyright Statement

  • This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

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