Variations in outdoor thermal comfort in an urban park in the hot-summer and cold-winter region of China

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

View graph of relations

Author(s)

  • Dong Wei
  • Linchuan Yang
  • Zhikang Bao
  • Yi Lu
  • Hongtai Yang

Detail(s)

Original languageEnglish
Article number103535
Journal / PublicationSustainable Cities and Society
Volume77
Online published10 Nov 2021
Publication statusPublished - Feb 2022

Abstract

Global warming and rapid urbanization have exacerbated the urban heat island effect. Urban parks contribute to alleviating such an effect and achieving the “carbon emission peak before 2030” and “carbon neutrality before 2060” goals of China. Their popularity is considerably influenced by human thermal comfort. However, limited thermal comfort studies have been conducted in the hot-summer and cold-winter region of China. This study examines human thermal comfort in different landscapes of an urban park in Chengdu and determines the thermal benchmarks. A machine learning (random forest) analysis shows that human thermal sensation is affected by different meteorological factors in different seasons. In addition, the influences of landscape space on human thermal comfort have considerable differences in different seasons. Residents prefer strong solar radiation in winter but fast wind speed in summer. UTCI (universal thermal climate index) is better than PET (physiological equivalent temperature) for outdoor thermal comfort assessment in the study area. This study serves as a valuable baseline and technical reference, contributing to sustainable urban park design.

Research Area(s)

  • Landscape space, Machine learning, Outdoor thermal comfort, Thermal benchmarks, Thermal index, Urban heat island, Urban park