Quantitative Analysis and Spatial Pattern Research of Built-Up Environments and Surface Urban Heat Island Effect in Beijing’s Main Urban Area
Publication: Journal of Urban Planning and Development
Volume 150, Issue 2
Abstract
The surface urban heat island (SUHI) phenomenon, predominantly influenced by factors associated with the built-up environment, is prominent in large metropolitan areas. To effectively mitigate the escalating thermal environment challenges arising during large cities’ developmental planning, rigorously examining the spatial interdependencies between the built-up environment and the SUHI phenomenon is imperative. Employing Beijing's primary urban area as a case study, this research addresses the gap in the systematic analysis of spatial correlations between the built-up environment and SUHI within the urban heat island effect research domain. The study leverages Landsat-8 satellite data spanning 2016–2020, Sentinel-2 land-use classification data, and 2020 digital elevation model (DEM) data, integrating them with geospatial data processing techniques to probe the multifaceted associations between the built-up environment and SUHI in a 1 × 1-km grid-based local-scale model. This investigation is distinguished by developing a Comprehensive Built-up Environment System Index, synthesized through multisource data and multidimensional methodologies. The study culminates in the following key findings: (1) Between 2016 and 2020, Beijing's primary urban area manifested an ascending spiral trend in the SUHI effect, with the heat island morphology exhibiting nonuniformity across the four seasons. (2) In the historical summer heat island scenarios of Beijing's primary urban area, the architectural and roadway environments demonstrated a consistently positive correlation with the SUHI effect. (3) Excluding the average number of floors parameter, all remaining urban built-up environment parameters exhibited a significant association with SUHI fluctuations.
Practical Applications
This research provides valuable insights on the following aspects for urban planners, policymakers, and practitioners addressing the surface urban heat island effect in Beijing's main urban area. (1) Urban heat island mitigation: Influential urban parameters, like building density, road connectivity coefficient, and green space, significantly impact surface urban heat island (SUHI) intensity. Targeted strategies, such as increasing green spaces and implementing cool roofs, can mitigate the SUHI effect and improve urban thermal comfort. (2) Season-specific planning: Recognizing seasonal variations in SUHI intensity allows for season-specific urban planning. Implementing cooling strategies, like urban cooling parks and remarkable pavement technologies, during summer in heat-prone areas efficiently helps manage thermal environments. (3) Data-driven decision-making: Leveraging geospatial data and advanced analytics fosters data-driven urban planning. Policymakers can use the Comprehensive Built-up Environment System Index to assess the impact of urban parameters on SUHI intensity, facilitating evidence-based policy formulation and adaptive management. (4) Climate-resilient urban design: Integrating SUHI mitigation measures, such as green infrastructure, cool roofs, and reflective materials, helps enhance climate resilience. Urban designers can create sustainable and climate-resilient urban environments, promoting long-term urban sustainability and well-being.
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Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author.
Acknowledgments
This research was supported by the Guangxi Natural Science Foundation Program (Grant No. 2020GXNSFAA297228) and the National Social Science Fund of China (No. 20&ZD157).
Author contributions: Zeng Peng: validation, resources, supervision, funding acquisition, conceptualization. Zong Cheng: conceptualization, methodology, software, formal analysis, investigation, data collection, writing—original draft, preparation, writing—review and editing, visualization. Wei Xu: conceptualization, methodology, validation, formal analysis, investigation, project management. All the authors have read and agreed to the published version of the manuscript.
References
Adachi, S. A., F. Kimura, H. Kusaka, M. G. Duda, Y. Yamagata, H. Seya, K. Nakamichi, and T. Aoyagi. 2014. “Moderation of summertime heat island phenomena via modification of the urban form in the Tokyo metropolitan area.” J. Appl. Meteorol. Climatol. 53 (8): 1886–1900. https://doi.org/10.1175/JAMC-D-13-0194.1.
Cao, Q., Q. Luan, Y. Liu, and R. Wang. 2021. “The effects of 2D and 3D building morphology on urban environments: A multi-scale analysis in the Beijing metropolitan region.” Build. Environ. 192: 107635. https://doi.org/10.1016/j.buildenv.2021.107635.
Chen, Y., J. Yang, W. Yu, J. Ren, X. Xiao, and J. C. Xia. 2023. “Relationship between urban spatial form and seasonal land surface temperature under different grid scales.” Sustainable Cities Soc. 89: 104374. https://doi.org/10.1016/j.scs.2022.104374.
Degirmenci, K., K. C. Desouza, W. Fieuw, R. T. Watson, and T. Yigitcanlar. 2021. “Understanding policy and technology responses in mitigating urban heat islands: A literature review and directions for future research.” Sustainable Cities Soc. 70: 102873. https://doi.org/10.1016/j.scs.2021.102873.
Feng, X., C. Xiu, L. Bai, Y. Zhong, and Y. Wei. 2020. “Comprehensive evaluation of urban resilience based on the perspective of landscape pattern: A case study of Shenyang city.” Cities 104: 102722. https://doi.org/10.1016/j.cities.2020.102722.
Ferreira, L. S., and D. H. S. Duarte. 2019. “Exploring the relationship between urban form, land surface temperature and vegetation indices in a subtropical megacity.” Urban Clim. 27: 105–123. https://doi.org/10.1016/j.uclim.2018.11.002.
Grimmond, C. S. B., et al. 2010. “Climate and more sustainable cities: Climate information for improved planning and management of cities (producers/capabilities perspective).” Procedia Environ. Sci. 1: 247–274. https://doi.org/10.1016/j.proenv.2010.09.016.
Gusson, C. S., and D. H. Duarte. 2016. “Effects of built density and urban morphology on urban microclimate-calibration of the model ENVI-met V4 for the subtropical Sao Paulo, Brazil.” Procedia Eng. 169: 2–10. https://doi.org/10.1016/j.proeng.2016.10.001.
He, B. J. 2018. “Potentials of meteorological characteristics and synoptic conditions to mitigate urban heat island effects.” Urban Clim. 24: 26–33. https://doi.org/10.1016/j.uclim.2018.01.004.
He, B. J., J. Wang, J. Zhu, and J. Qi. 2022. “Beating the urban heat: Situation, background, impacts and the way forward in China.” Renewable Sustainable Energy Rev. 161: 112350. https://doi.org/10.1016/j.rser.2022.112350.
He, X., S. Shen, S. Miao, J. Dou, and Y. Zhang. 2015. “Quantitative detection of urban climate resources and the establishment of an urban climate map (UCMap) system in Beijing.” Build. Environ. 92: 668–678. https://doi.org/10.1016/j.buildenv.2015.05.044.
Johnson, L. R., et al. 2021. “Conceptualizing social-ecological drivers of change in urban forest patches.” Urban Ecosyst. 24: 633–648. https://doi.org/10.1007/s11252-020-00977-5.
Khan, M. A., J. A. Khan, Z. Ali, I. Ahmad, and M. N. Ahmad. 2016. “The challenge of climate change and policy response in Pakistan.” Environ. Earth Sci. 75: 1–16. https://doi.org/10.1007/s12665-015-4873-x.
Kotharkar, R., and A. Bagade. 2018. “Evaluating urban heat island in the critical local climate zones of an Indian city.” Landscape Urban Plann. 169: 92–104. https://doi.org/10.1016/j.landurbplan.2017.08.009.
Leng, H., X. Chen, Y. Ma, N. H. Wong, and T. Ming. 2020. “Urban morphology and building heating energy consumption: Evidence from Harbin, a severe cold region city.” Energy Build. 224: 110143. https://doi.org/10.1016/j.enbuild.2020.110143.
Li, Y., X. Zhang, S. Zhu, X. Wang, Y. Lu, S. Du, and X. Shi. 2020. “Transformation of urban surfaces and heat islands in Nanjing during 1984–2018.” Sustainability 12 (16): 6521. https://doi.org/10.3390/su12166521.
Liao, W., T. Hong, and Y. Heo. 2021. “The effect of spatial heterogeneity in urban morphology on surface urban heat islands.” Energy Build. 244: 111027. https://doi.org/10.1016/j.enbuild.2021.111027.
Luo, P., B. Yu, P. Li, P. Liang, Y. Liang, and L. Yang. 2023. “How 2D and 3D built environments impact urban surface temperature under extreme heat: A study in Chengdu, China.” Build. Environ. 231: 110035. https://doi.org/10.1016/j.buildenv.2023.110035.
Meerow, S., and J. P. Newell. 2017. “Spatial planning for multifunctional green infrastructure: Growing resilience in Detroit.” Landscape Urban Plann. 159: 62–75. https://doi.org/10.1016/j.landurbplan.2016.10.005.
Middel, A., K. Häb, A. J. Brazel, C. A. Martin, and S. Guhathakurta. 2014. “Impact of urban form and design on mid-afternoon microclimate in Phoenix local climate zones.” Landscape Urban Plann. 122: 16–28. https://doi.org/10.1016/j.landurbplan.2013.11.004.
Mohajerani, A., J. Bakaric, and T. Jeffrey-Bailey. 2017. “The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete.” J. Environ. Manage. 197: 522–538. https://doi.org/10.1016/j.jenvman.2017.03.095.
Morini, E., A. G. Touchaei, F. Rossi, F. Cotana, and H. Akbari. 2018. “Evaluation of albedo enhancement to mitigate impacts of urban heat island in Rome (Italy) using WRF meteorological model.” Urban Clim. 24: 551–566. https://doi.org/10.1016/j.uclim.2017.08.001.
Niachou, K., I. Livada, and M. Santamouris. 2008. “Experimental study of temperature and airflow distribution inside an urban street canyon during hot summer weather conditions. Part II: Airflow analysis.” Build. Environ. 43 (8): 1393–1403. https://doi.org/10.1016/j.buildenv.2007.01.040.
Qi, J. D., B. J. He, M. Wang, J. Zhu, and W. C. Fu. 2019. “Do grey infrastructures always elevate urban temperature? No, utilizing grey infrastructures to mitigate urban heat island effects.” Sustainable Cities Soc. 46: 101392. https://doi.org/10.1016/j.scs.2018.12.020.
Ren, C., E. Y. Y. Ng, and L. Katzschner. 2011. “Urban climatic map studies: A review.” Int. J. Climatol. 31 (15): 2213–2233. https://doi.org/10.1002/joc.2237.
Rizwan, A. M., L. Y. Dennis, and L. I. U. Chunho. 2008. “A review on the generation, determination and mitigation of urban heat island.” J. Environ. Sci. 20 (1): 120–128. https://doi.org/10.1016/S1001-0742(08)60019-4.
Ru, C., S. B. Duan, X. G. Jiang, Z. L. Li, Y. Jiang, H. Ren, P. Leng, and M. Gao. 2021. “Land surface temperature retrieval from Landsat 8 thermal infrared data over urban areas considering geometry effect: Method and application.” IEEE Trans. Geosci. Remote Sens. 60: 1–16. https://doi.org/10.1109/TGRS.2021.3088482.
Sharmin, T., K. Steemers, and A. Matzarakis. 2017. “Microclimatic modelling in assessing the impact of urban geometry on urban thermal environment.” Sustainable Cities Soc. 34: 293–308. https://doi.org/10.1016/j.scs.2017.07.006.
Shen, C., H. Hou, Y. Zheng, Y. Murayama, R. Wang, and T. Hu. 2022. “Prediction of the future urban heat island intensity and distribution based on landscape composition and configuration: A case study in Hangzhou.” Sustainable Cities Soc. 83: 103992. https://doi.org/10.1016/j.scs.2022.103992.
Shi, Y., and Y. Zhang. 2022. “Urban morphological indicators of urban heat and moisture islands under various sky conditions in a humid subtropical region.” Build. Environ. 214: 108906. https://doi.org/10.1016/j.buildenv.2022.108906.
Solís, P., J. K. Vanos, and R. E. Forbis. 2017. “The decision-making/accountability spatial incongruence problem for research linking environmental science and policy.” Geogr. Rev. 107 (4): 680–704. https://doi.org/10.1111/gere.12240.
Song, Y., L. Merlin, and D. Rodriguez. 2013. “Comparing measures of urban land use mix.” Comput. Environ. Urban Syst. 42: 1–13. https://doi.org/10.1016/j.compenvurbsys.2013.08.001.
Stewart, I. D., and T. R. Oke. 2012. “Local climate zones for urban temperature studies.” Bull. Am. Meteorol. Soc. 93 (12): 1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1.
Sun, Z., J. Sun, H. Guo, H. Jiang, J. Gao, and J. Wang. 2021. “A dataset of built-up areas of Chinese cities in 2020.” Sci. Data Bank 7 (1). https://doi.org/10.11922/sciencedb.j00001.00332.
Tahir, S. I., A. Chikh, A. Tounsi, M. A. Al-Osta, S. U. Al-Dulaijan, and M. M. Al-Zahrani. 2021. “Wave propagation analysis of a ceramic-metal functionally graded sandwich plate with different porosity distributions in a hygro-thermal environment.” Compos. Struct. 269: 114030. https://doi.org/10.1016/j.compstruct.2021.114030.
Taleghani, M., L. Kleerekoper, M. Tenpierik, and A. Van Den Dobbelsteen. 2015. “Outdoor thermal comfort within five different urban forms in the Netherlands.” Build. Environ. 83: 65–78. https://doi.org/10.1016/j.buildenv.2014.03.014.
Tian, W., Y. Yang, L. Wang, L. Zong, Y. Zhang, and D. Liu. 2023. “Role of local climate zones and urban ventilation in canopy urban heat island–heatwave interaction in Nanjing megacity, China.” Urban Clim. 49: 101474. https://doi.org/10.1016/j.uclim.2023.101474.
Tong, S., N. H. Wong, S. K. Jusuf, C. L. Tan, H. F. Wong, M. Ignatius, and E. Tan. 2018. “Study on correlation between air temperature and urban morphology parameters in built environment in northern China.” Build. Environ. 127: 239–249. https://doi.org/10.1016/j.buildenv.2017.11.013.
Touchaei, A. G., and Y. Wang. 2015. “Characterizing urban heat island in Montreal (Canada)—Effect of urban morphology.” Sustainable Cities Soc. 19: 395–402. https://doi.org/10.1016/j.scs.2015.03.005.
Venter, Z. S., D. N. Barton, V. Gundersen, H. Figari, and M. Nowell. 2020. “Urban nature in a time of crisis: Recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway.” Environ. Res. Lett. 15 (10): 104075. https://doi.org/10.1088/1748-9326/abb396.
Verdonck, M. L., M. Demuzere, H. Hooyberghs, C. Beck, J. Cyrys, A. Schneider, R. Dewulf, and F. Van Coillie. 2018. “The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data.” Landscape Urban Plann. 178: 183–197. https://doi.org/10.1016/j.landurbplan.2018.06.004.
Wu, W., Z. Ma, J. Guo, X. Niu, and K. Zhao. 2022. “Evaluating the effects of built environment on street vitality at the city level: An empirical research based on spatial panel Durbin model.” Int. J. Environ. Res. Public Health 19 (3): 1664. https://doi.org/10.3390/ijerph19031664.
Xu, D., D. Zhou, Y. Wang, W. Xu, and Y. Yang. 2019. “Field measurement study on the impacts of urban spatial indicators on urban climate in a Chinese basin and static-wind city.” Build. Environ. 147: 482–494. https://doi.org/10.1016/j.buildenv.2018.10.042.
Xu, Y., C. Ren, P. Ma, J. Ho, W. Wang, K. K. L. Lau, H. Lin, and E. Ng. 2017. “Urban morphology detection and computation for urban climate research.” Landscape Urban Plann. 167: 212–224. https://doi.org/10.1016/j.landurbplan.2017.06.018.
Yang, H., Q. Leng, Y. Xiao, and W. Chen. 2022. “Investigating the impact of urban landscape composition and configuration on PM2.5 concentration under the LCZ scheme: A case study in Nanchang, China.” Sustainable Cities Soc. 84: 104006. https://doi.org/10.1016/j.scs.2022.104006.
Yang, X., L. Yao, T. Jin, L. L. Peng, Z. Jiang, Z. Hu, and Y. Ye. 2018. “Assessing the thermal behavior of different local climate zones in the Nanjing Metropolis, China.” Build. Environ. 137: 171–184. https://doi.org/10.1016/j.buildenv.2018.04.009.
Yao, X., K. Yu, X. Zeng, Y. Lin, B. Ye, X. Shen, and J. Liu. 2022. “How can urban parks be planned to mitigate urban heat island effect in ‘furnace cities’? An accumulation perspective.” J. Cleaner Prod. 330: 129852. https://doi.org/10.1016/j.jclepro.2021.129852.
Yin, C., M. Yuan, Y. Lu, Y. Huang, and Y. Liu. 2018. “Effects of urban form on the urban heat island effect based on spatial regression model.” Sci. Total Environ. 634: 696–704. https://doi.org/10.1016/j.scitotenv.2018.03.350.
Yue, W., Y. Chen, Q. Zhang, and Y. Liu. 2019. “Spatial explicit assessment of urban vitality using multi-source data: A case of Shanghai, China.” Sustainability 11 (3): 638. https://doi.org/10.3390/su11030638.
Zanini, M. A., F. Faleschini, P. Zampieri, C. Pellegrino, G. Gecchele, M. Gastaldi, and R. Rossi. 2017. “Post-quake urban road network functionality assessment for seismic emergency management in historical centres.” Struct. Infrastruct. Eng. 13 (9): 1117–1129. https://doi.org/10.1080/15732479.2016.1244211.
Zhang, H. L., Y. S. Zhu, Y. Gao, and G. X. Zhang. 2016. “The relationship between urban spatial morphology parameters and urban heat island intensity under fine weather condition.” J. Appl. Meteorol. Sci. 27 (2): 249–256.
Zhang, J., P. Cui, and H. Song. 2020. “Impact of urban morphology on outdoor air temperature and microclimate optimization strategy base on Pareto optimality in northeast China.” Build. Environ. 180: 107035. https://doi.org/10.1016/j.buildenv.2020.107035.
Zhao, C., G. Fu, X. Liu, and F. Fu. 2011. “Urban planning indicators, morphology and climate indicators: A case study for a north–south transect of Beijing, China.” Build. Environ. 46 (5): 1174–1183. https://doi.org/10.1016/j.buildenv.2010.12.009.
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Published In
Journal of Urban Planning and Development
Volume 150 • Issue 2 • June 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: May 15, 2023
Accepted: Nov 16, 2023
Published online: Jan 17, 2024
Published in print: Jun 1, 2024
Discussion open until: Jun 17, 2024
ASCE Technical Topics:
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