Climate-Conscious Urban Growth Mitigates Urban Warming: Evidence from Shenzhen, China
Name
climate_concious_urban_growth_EST_r5v1_researchgate-1.pdf
Description
Accepted version
Size
1.61 MB
Format
Adobe PDF
Checksum (MD5)
9ca953ea04475df933dda35c9e13ae57
Author(s)
Zhou, Yulun
Huang, Bo
Wang, Jionghua
Chen, Bin
Kong, Hui
Norford, Leslie Keith
Date Issued
September 2019
Journal
Environmental Science and Technology
Publisher
American Chemical Society (ACS)
Citation
Zhou, Yulun, Huang, Bo, Wang, Jionghua, Chen, Bin, Kong, Hui et al. 2019. "Climate-Conscious Urban Growth Mitigates Urban Warming: Evidence from Shenzhen, China." Environmental Science and Technology, 53 (20).
Version
Author's final manuscript
Abstract
Copyright © 2019 American Chemical Society. Urban growth comes with significant warming impacts and related increases in air pollution concentrations, so many cities have implemented growth management to minimize "sprawl" and its environmental consequences. However, controlling the amount of growth is costly. Therefore, in this Article, we focus on urban warming and investigate whether climate-conscious urban growth planning (CUGP), that is, urban growth with the same magnitude but optimized spatial arrangements, brings significant mitigation effects. First, the classical spatial multiobjective land-use optimization (SMOLA) model is improved by integrating the spatially, diurnally, and compositionally varying associations between land-use and their warming impacts. We then solve the improved model using the nondominated genetic algorithm (NSGA-II) to generate urban growth plans with minimal warming impacts and minimal cost of change without reducing the amount of urban growth. Results show that climate-conscious urban growth brings 33.3 ± 4.6% less warming impacts as compared to unplanned urban growth in Shenzhen, China, and suggest a compact and spatially equalized development pattern. This study provides evidence that spatial planning tools such as the CUGP can help mitigate human impacts on the environment. Meanwhile, the improved SMOLA model could be applied to balance urban development and other environmental consequences such as air pollution.
MIT Department
Singapore-MIT Alliance in Research and Technology (SMART)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1021/acs.est.9b01645
