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This book chapter explores the optimization of urban cyclists’ route choices to reduce heat stress using an agent-based modeling (ABM) approach. As urbanization increases, cities face challenges related to mobility, safety, and environmental impact. Promoting cycling can mitigate traffic congestion, improve air quality, and enhance public health. However, cyclists in tropical urban environments are particularly vulnerable to heat stress due to direct solar exposure and limited natural shade. The work presented in this chapter integrates local microclimatic data and Thom’s thermal discomfort index to assess heat stress along various routes for a tropical city in Sri Lanka. Field data collection and GIS-based mapping techniques are employed to analyze ambient temperature and relative humidity patterns. The ABM framework, implemented using NetLogo, simulates cyclists’ route choices to minimize heat stress. The findings highlight the importance of roadside vegetation in reducing thermal discomfort and suggest practical applications for urban planning and smart technologies. This methodology can be further developed into a mobile application to assist cyclists in selecting the most thermally comfortable routes, promoting healthier and more sustainable urban mobility.

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Mobility and Transport Improvements for Human Health

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Varuni Jayasooriya,
  • Sasini Waidyalankara,
  • Sandun Dassanayake

摘要

This book chapter explores the optimization of urban cyclists’ route choices to reduce heat stress using an agent-based modeling (ABM) approach. As urbanization increases, cities face challenges related to mobility, safety, and environmental impact. Promoting cycling can mitigate traffic congestion, improve air quality, and enhance public health. However, cyclists in tropical urban environments are particularly vulnerable to heat stress due to direct solar exposure and limited natural shade. The work presented in this chapter integrates local microclimatic data and Thom’s thermal discomfort index to assess heat stress along various routes for a tropical city in Sri Lanka. Field data collection and GIS-based mapping techniques are employed to analyze ambient temperature and relative humidity patterns. The ABM framework, implemented using NetLogo, simulates cyclists’ route choices to minimize heat stress. The findings highlight the importance of roadside vegetation in reducing thermal discomfort and suggest practical applications for urban planning and smart technologies. This methodology can be further developed into a mobile application to assist cyclists in selecting the most thermally comfortable routes, promoting healthier and more sustainable urban mobility.