Why do bicyclists take detours? A multilevel regression model using smartphone GPS data

Bicyclists often deviate from the shortest possible routes and take detours in search of more pleasant riding conditions. The extent of detours and the factors affecting bicyclists to ride excess distances have not yet been fully explored. This study aims to measure and analyze the detour extent of utilitarian bicycle trips and their relationships with the route-level environmental components using data collected from individual bicyclists' smartphone GPS in Columbus, Ohio. Comparing the chosen routes with their shortest counterparts, the authors calculate two detour indices (a distanced-based index and an area-based index) and provide a comparative analysis of built environment attributes for low, moderate, and high levels of detours. They then estimate multilevel mixed-effect generalized linear regression models to identify the contribution of built-environment characteristics to such detours while accounting for individual heterogeneity. The authors find that most bicycle trips (91.1%) include a detour and are 13.5% longer on average than their shortest alternatives with large variations. Detour degrees are higher for long-distance trips and for peak-period trips. They find that bicyclists choose routes with smaller shares of commercial and single-family land-uses and low levels of land-use diversity. Longer detours are positively associated with street greenery. The authors find that sparse bicycle facilities and high-speed limits are strong contributors to bicyclists' detour decisions, while multilevel mixed-effect linear regression models further present significant heterogeneity in bicyclists' responses to some environmental attributes. The area-based detour index performs better in explaining the relationships between land-use features and detour degrees.

• Record URL:
  https://doi.org/10.1016/j.jtrangeo.2018.11.013
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0966692318301078
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Park, Yujin
  • 0000-0002-9680-4024
  • Akar, Gulsah
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 191-200
• Serial:
  • Journal of Transport Geography
  • Volume: 74
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Bicycle travel; Bicycling; Built environment; Cyclists; Detours; Global Positioning System; Regression analysis; Route choice; Smartphones
• Geographic Terms: Columbus (Ohio)
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01691554
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 28 2019 10:13AM