Estimating individual physical capability (IPC) to make journeys by bicycle

The authors propose a novel method to estimate capability to make bicycle journeys, specifically considering the individual physical capability (IPC) of entire populations of individuals from all population segments of an area, not just current cyclists. IPC considers the physical constraints on the maximum distance people could cycle given the typical topography of where they live (Distance IPC), and then estimates their ability to make a particular journey (Journey IPC). IPC, when estimated in this way for a particular point in time, may be informed by antecedent behavioral choices and capabilities, and may be a constraint or enabler of subsequent capabilities, potential adaptations and behavior. The focus of the present paper is on explaining a generic method of estimating Distance IPC and Journey IPC by constructing an individually based spatially fine-grained model. The authors show how such an individual-level model may be implemented for a population resident in many small spatial zones by use of spatial micro-simulation (population synthesis), to generate the individual attributes required as inputs to the model. The authors present a case-study for the city of Leeds, UK. The authors explain the range of data sources used, explore sensitivity of the results to assumptions of the model, and illustrate the ability of the model to simulate the effects of policies. Finally, the authors identify several possible application areas and opportunities to further develop the model.

• Record URL:
  • https://doi.org/10.1080/15568318.2017.1368748
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15568318
• Supplemental Notes:
  • © 2017 Ian Philips et al. Published with license by Taylor & Francis Group, LLC 2018
• Authors:
  • Philips, Ian
  • Watling, David
  • Timms, Paul
• Publication Date: 2018-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 324-340
• Serial:
  • International Journal of Sustainable Transportation
  • Volume: 12
  • Issue Number: 5
  • Publisher: Taylor & Francis
  • ISSN: 1556-8318
  • EISSN: 1556-8334
  • Serial URL: http://www.tandfonline.com/loi/ujst20

Subject/Index Terms

• TRT Terms: Bicycle travel; Case studies; Cyclists; Estimation theory; Health; Microsimulation; Nonmotorized transportation; Physical condition; Spatial analysis; Trip length
• Geographic Terms: Leeds (England)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01662569
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 12 2018 3:03PM