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Urban spatial sequencing shapes dynamic thermal perception: Causal evidence for psychophysiological responses

  • Qihui Zhang
  • , Yunsong Han*
  • , Hongji Cui
  • , Xiran Cui
  • , Biaoqing Tao
  • , Yingle Wei
  • *Corresponding author for this work
  • Harbin institute of technology
  • Ministry of Industry and Information Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding how people perceive and adapt to heat stress in dynamic environments is essential for designing climate-responsive urban spaces. In this study, we investigated the causal mechanisms of dynamic thermal perception during heat waves in summer. By combining environmental sensing, physiological monitoring, questionnaire surveys, and causal inference models, we reveal how thermal sequences shape short-term thermal experiences. Specifically, placing cooling spaces earlier in the thermal sequence significantly attenuates the impact of skin-temperature change rate on thermal sensation. Furthermore, prolonged exposure to spaces underneath an elevated building (UEB) provides stronger mitigation against heat stress. Psychological expectation mediates thermal perception, providing emotional comfort and exerting a momentary negative psychological effect. Under heat stress, physiological response follows a coherent causal structure, triggering a primary cascade from skin temperature to core temperature and heart rate. These findings advance the understanding of dynamic thermal comfort by identifying its causal determinants and sequence-dependent mechanisms, offering new theoretical support for human-centered and climate-responsive urban design.

Original languageEnglish
Article number107611
JournalSustainable Cities and Society
Volume148
DOIs
StatePublished - 15 Sep 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Causal inference
  • Heat stress
  • Thermal adaptation
  • Thermal alliesthesia
  • Urban thermal environment

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