TY - JOUR
T1 - Effect of heat mitigation strategies on thermal environment, thermal comfort, and walkability
T2 - A case study in Hong Kong
AU - Jia, Siqi
AU - Wang, Yuhong
N1 - Funding Information:
This paper is based on the research project (E-PolyU502/16) funded by the Research Grant Council (RGC) of Hong Kong Special Administrative Region Government . The research is part of the study entitled Urban Nature Labs (UNaLab), funded by the European Commission (EC)'s Horizon 2020 Research Scheme, Hong Kong RGC and other research partners.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/8/15
Y1 - 2021/8/15
N2 - The effects of six heat mitigation strategies on thermal environment, thermal comfort, and walkability are evaluated. Thermal environment is simulated using a micro-scale computational fluid dynamic (CFD) model—ENVI-met. Thermal comfort is quantified with the Universal Thermal Climate Index (UTCI), which is linked to walkability through agent-based modeling (ABM). These integrated methods enable the quantitative assessment of how heat mitigation strategies used in urban planning affect human perceptions and behaviors. A typical high-density urban area in Hong Kong is used as a case study. Model validation reveals that the CFD model is partially accurate, performing the best in air temperature prediction. The results indicate that the type of infrastructure which causes the greatest reduction in air temperature does not necessarily lead to the biggest improvement in thermal comfort and walkability. Compared with the control, cool pavements reduce peak air temperature by 0.36 °C, and street trees reduce peak mean radiant temperature by 4.23 °C. Street trees also result in the lowest values of UTCI during the daytime, with a maximum UTCI reduction of 0.88 °C. In ABM simulations, street trees cause a reduction in perceived travel time (PTT) of up to 3 s per 100 m. However, the effects of other mitigation measures are marginal. Our findings suggest that although all heat mitigation strategies can be beneficial in improving the urban thermal environment, street trees are the most beneficial for improving thermal comfort and walkability.
AB - The effects of six heat mitigation strategies on thermal environment, thermal comfort, and walkability are evaluated. Thermal environment is simulated using a micro-scale computational fluid dynamic (CFD) model—ENVI-met. Thermal comfort is quantified with the Universal Thermal Climate Index (UTCI), which is linked to walkability through agent-based modeling (ABM). These integrated methods enable the quantitative assessment of how heat mitigation strategies used in urban planning affect human perceptions and behaviors. A typical high-density urban area in Hong Kong is used as a case study. Model validation reveals that the CFD model is partially accurate, performing the best in air temperature prediction. The results indicate that the type of infrastructure which causes the greatest reduction in air temperature does not necessarily lead to the biggest improvement in thermal comfort and walkability. Compared with the control, cool pavements reduce peak air temperature by 0.36 °C, and street trees reduce peak mean radiant temperature by 4.23 °C. Street trees also result in the lowest values of UTCI during the daytime, with a maximum UTCI reduction of 0.88 °C. In ABM simulations, street trees cause a reduction in perceived travel time (PTT) of up to 3 s per 100 m. However, the effects of other mitigation measures are marginal. Our findings suggest that although all heat mitigation strategies can be beneficial in improving the urban thermal environment, street trees are the most beneficial for improving thermal comfort and walkability.
KW - Agent-based modeling
KW - Green infrastructure
KW - Heat mitigation
KW - Microclimate
KW - Outdoor thermal comfort
KW - Urban heat Island
UR - http://www.scopus.com/inward/record.url?scp=85107148055&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2021.107988
DO - 10.1016/j.buildenv.2021.107988
M3 - Journal article
AN - SCOPUS:85107148055
SN - 0360-1323
VL - 201
JO - Building and Environment
JF - Building and Environment
M1 - 107988
ER -