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Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data

  • Published:2022-10 Issue: Volume:97 Page:101866
  • ISSN:0198-9715
  • Container-title:Computers, Environment and Urban Systems
  • language:en
  • Short-container-title:Computers, Environment and Urban Systems

Author:

Campbell Michael J.,Dennison Philip E.,Thompson Matthew P.

Funder

National Science Foundation

U.S. Forest Service

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference59 articles.

1. The application of ‘least-cost’ modelling as a functional landscape model;Adriaensen;Landscape and Urban Planning,2003

2. Geographic accessibility to primary healthcare centers in Mozambique;dos Anjos Luis;International Journal for Equity in Health,2016

3. Beyond the safety zone: Creating a margin of safety;Beighley;Fire Management Notes,1995

4. Dynamic guidance tool for a safer earthquake pedestrian evacuation in urban systems;Bernardini;Computers, Environment and Urban Systems,2017

5. A LiDAR-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping;Campbell;International Journal of Wildland Fire,2017

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