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Updated: Aug 10, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Cyclists' exposure to air pollution, noise, and greenery: a population-level spatial analysis approach
Elias Willberg1,2, Age Poom3,4,5, Joose Helle3
1Digital Geography Lab, Faculty of Science, University of Helsinki, Helsinki, Finland. elias.willberg@helsinki.fi.
Active travel exposure to urban environments like air pollution and noise can impact health. This study introduces a new method to assess multiple exposures, helping identify healthier routes for cyclists.
Area of Science:
- Environmental Health
- Urban Planning
- Transportation Science
Background:
- Urban travel significantly impacts health and wellbeing through environmental exposures.
- Assessing cumulative environmental exposures during active travel remains a challenge.
Purpose of the Study:
- To present a novel, population-level approach for assessing multiple environmental exposures during active travel.
- To analyze urban-scale exposure variations and the potential of alternative routes to mitigate exposure.
- To enable identification of healthier travel environments for planners and citizens.
Main Methods:
- Developed and applied an in-house route-planning and exposure assessment software.
- Integrated data from 3.1 million cycling trips from a bike-sharing system in Helsinki, Finland.
- Assessed cyclist exposure to air pollution, noise, and greenery.
Main Results:
- Demonstrated the feasibility of assessing multiple environmental exposures for active travel.
- Identified that noise exposure for cyclists frequently exceeds healthy thresholds.
- Showcased that cyclists can modify their exposure levels through strategic route selection.
Conclusions:
- The novel approach effectively assesses population-level environmental exposures for active travel.
- Route choice is a significant factor in mitigating adverse environmental exposures during urban cycling.
- The developed tools and data can support healthier urban planning and individual travel decisions.
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