Cited by 12Urban Heat Island MitigationClimate Change and Health ImpactsThermoregulation and physiological responses

A sidewalk-level urban heat risk assessment framework using pedestrian mobility and urban microclimate modeling

Open access
Colaninno, Nicola, Basu, Rounaq, Hosseini, Maryam, Alhassan, Abdulaziz, Liu, Liu, Sevtsuk, Andres·2025·Environment and Planning B: Urban Analytics and City Science

Abstract

Climate change and the associated increase in heat-related hazards pose a pressing threat to urban residents’ health and well-being. People, when walking in particular, are at risk of experiencing heat stress as they navigate urban environments. This study proposes a novel heat risk assessment framework combining pedestrian mobility modeling with urban microclimate modeling. Using this framework, we assessed pedestrian heat-related exposure and risk in urban areas by integrating the Universal Thermal Climate Index (UTCI) as the hazard and pedestrian trips to critical destinations as exposure. We considered temporal variation, in both hazard and exposure, by examining different time periods during the day—morning peak, midday, and evening peak. In addition to hazard and exposure, we also considered vulnerability by focusing on young children and older adults. We contribute to improving the spatial resolution of heat risk assessment by analyzing the hazard for pedestrian trips between home locations and five critical destinations—bus stops, rail stations, parks, schools, and commercial amenities—at the address-point level and using a pedestrian network comprising sidewalks and crosswalks. Our framework helps identify sidewalks with high heat exposure levels as well as home locations with high cumulative heat risk, accounting for walking trips to critical destinations along feasible routes. We demonstrated the effectiveness of this framework by applying it to a 36-square-kilometer area of central Los Angeles, CA. Our findings offer valuable information to urban planners and policy-makers, supporting evidence-based prioritization of intervention sites, climate adaptation strategies, and policy decisions essential for climate-proof planning. By implementing targeted interventions in areas where heat hazard is expected to affect the most vulnerable pedestrians, planners can create heat-resilient, pedestrian-friendly environments while prioritizing the health and well-being of vulnerable groups. This study contributes to the growing knowledge of robust risk assessment methodologies for climate-proof planning, specifically with regard to addressing outdoor heat-related risks during extreme heat events.

Integrity signals

Registry

Crossref · 10.1177/23998083241280746

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In urban heat risk mapping, exposure is often represented by population density, pedestrian presence, residential concentration, or other indicators of human activity.

    “In urban heat risk mapping, exposure is often represented by population density, pedestrian presence, residential concentration, or other indicators of human activity [30, 32].”
  • In climate-risk literature, risk is commonly interpreted through the interaction of hazard, exposure, and vulnerability, and this perspective has also been adopted in urban heat studies.

    “In climate-risk literature, risk is commonly interpreted through the interaction of hazard, exposure, and vulnerability, and this perspective has also been adopted in urban heat studies [30, 31].”
  • Thermal indicators, including land surface temperature or related heat-stress measures, are used as the hazard component of the risk framework in earlier urban heat risk studies.

    “Such an interpretation is consistent with earlier urban heat risk studies in which thermal indicators, including land surface temperature or related heat-stress measures, are used as the hazard component of the risk framework [30, 32].”
  • The simplified multiplicative risk formulation is sufficient to show how next-day thermal forecasting can be extended towards interpretable urban heat risk assessment products.

    “Although this formulation is simplified, it is sufficient to show how next-day thermal forecasting can be extended towards interpretable urban heat risk assessment products [30, 33].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Colaninno, N., Basu, R., Hosseini, M., Alhassan, A., Liu, L., & Sevtsuk, A.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Colaninno, Nicola
Venue
Environment and Planning B: Urban Analytics and City Science
Published
2024-09-08
Volume
52
Issue
5
Pages
1071-1090
ISSN
  • 2399-8083 (ISSN-L)
  • 2399-8091
OpenAlex
W4402416030
Cited by
12
References
4
Citations by year
2026: 7 · 2025: 5
FWCI
1.41
Type
journal article
Language
en
Open access
Locations
  • Environment and Planning B Urban Analytics and City Science (publishedVersion, cc-by-nc)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
Funders
H2020 Marie Skłodowska-Curie Actions (101028035)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Health Sciences › Medicine › Physiology › Thermoregulation and physiological responses
Keywords
heat stress, Universal Thermal Climate Index, pedestrian movement, vulnerable populations, children and elderly, climate change adaptation, Los Angeles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review