Effect of Urban Structure on PM2.5 in China: A Multiscale Landscape Analysis of 362 Cities
Publication: Journal of Urban Planning and Development
Volume 148, Issue 2
Abstract
Rapid urbanization adversely impacts urban air quality, impacting human health and the ecological environment. However, few studies have systematically explored air quality from the perspective of urban structural evolution. This can be done using two scales: one focusing on microscopic patches and one focusing on the macroscopic built-up area. Based on polycentricity at a city scale, urban growth patterns at a patch scale, and other natural and socioeconomic data for 362 cities in China, this study applied spatial regression models to quantify the impact of urban structure on PM2.5. The PM2.5 data were downloaded from the NASA Earth Observing System Data and Information System (EOSDIS) data center. The results show the following: (1) at a city scale, the polycentricity index had a significant and negative relationship with PM2.5, the development of polycentric cities supports improvements in air quality; (2) at a patch scale, three urban growth patterns (edge-expansion, outlying, and infilling) all significantly and negatively impact PM2.5. Urban growth continues to increase PM2.5 pollution in China; and (3) road density, the built-up area, population density, land-use mix, and other control variables have an influence on the PM2.5 concentration, and this study verified the existence of a scale effect. In addition, considering the different urban development trajectories of developed and developing countries, this study makes targeted recommendations for urban managers wanting to make reasonable development policies. In general, quantifying the relationship between urban structure and PM2.5 helps provide a scientific basis for city planners and managers to optimize urban layouts.
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Acknowledgments
This research was financially supported by the Major Program of National Social Science Foundation of China (Grant No. 19ZD172), National Natural Science Foundation of China (Grant No. 42001334), and Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University (ID: LNTCCMA-20210101).
References
Ambarwati, L., R. Verhaeghe, B. van Arem, and A. J. Pel. 2016. “The influence of integrated space-transport development strategies on air pollution in urban areas.” Transp. Res. Part D Transp. Environ. 44: 134–146. https://doi.org/10.1016/j.trd.2016.02.015.
Artmann, M., M. Kohler, G. Meinel, J. Gan, and I.-C. Ioja. 2019. “How smart growth and green infrastructure can mutually support each other—A conceptual framework for compact and green cities.” Ecol. Indic. 96: 10–22. https://doi.org/10.1016/j.ecolind.2017.07.001.
Anselin, L., A. K. Bera, R. Florax, and M. J. Yoon. 1996. “Simple diagnostic tests for spatial dependence.” Reg. Sci. Urban Econ. 26 (1): 77–104. https://doi.org/10.1016/0166-0462(95)02111-6.
Apte, J. S., M. Brauer, A. J. Cohen, M. Ezzati, and C. A. Pope. 2018. “Ambient PM2.5 reduces global and regional life expectancy [rapid-communication].” Environ. Sci. Technol. Lett. 5 (9): 546–551. https://doi.org/10.1021/acs.estlett.8b00360.
Apte, J. S., J. D. Marshall, A. J. Cohen, and M. Brauer. 2015. “Addressing global mortality from ambient PM2.5.” Environ. Sci. Technol. 49 (13): 8057–8066. https://doi.org/10.1021/acs.est.5b01236.
Borrego, C., H. Martins, O. Tchepel, L. Salmim, A. Monteiro, and A. I. Miranda. 2006. “How urban structure can affect city sustainability from an air quality perspective.” Environ. Modell. Software 21 (4): 461–467. https://doi.org/10.1016/j.envsoft.2004.07.009.
Burger, M., and E. Meijers. 2012. “Form follows function? Linking morphological and functional polycentricity.” Urban Stud. 49 (5): 1127–1149. https://doi.org/10.1177/0042098011407095.
Cárdenas Rodríguez, M., L. Dupont-Courtade, and W. Oueslati. 2016. “Air pollution and urban structure linkages: Evidence from European cities.” Renewable Sustainable Energy Rev. 53: 1–9. https://doi.org/10.1016/j.rser.2015.07.190.
Cervero, R., and K. L. Wu. 1997. “Polycentrism, commuting, and residential location in the San Francisco Bay area.” Environ. Plann. A 29 (5): 865–886. https://doi.org/10.1068/a290865.
Chen, H., Q. Li, J. S. Kaufman, J. Wang, R. Copes, Y. Su, and T. Benmarhnia. 2018. “Effect of air quality alerts on human health: A regression discontinuity analysis in Toronto, Canada.” Lancet Planet. Health 2 (1): e19–e26. https://doi.org/10.1016/S2542-5196(17)30185-7.
Cheng, Z., et al. 2016. “Status and characteristics of ambient PM2.5 pollution in global megacities.” Environ. Int. 89–90: 212–221. https://doi.org/10.1016/j.envint.2016.02.003.
Fang, C., H. Liu, G. Li, D. Sun, and Z. Miao. 2015. “Estimating the impact of urbanization on air quality in China using spatial regression models.” Sustainability 7 (11): 15570–15592. https://doi.org/10.3390/su71115570.
Fang, G. C., Y. J. Zhuang, M. H. Cho, C. Y. Huang, Y. F. Xiao, and K. H. Tsai. 2018. “Review of total suspended particles (TSP) and PM2.5 concentration variations in Asia during the years of 1998–2015.” Environ. Geochem. Health 40 (3): 1127–1144. https://doi.org/10.1007/s10653-017-9992-8.
Fann, N. L., C. G. Nolte, M. C. Sarofim, J. Martinich, and N. J. Nassikas. 2021. “Associations between simulated future changes in climate, air quality, and human health.” Jama Network Open 4 (1): e2032064. https://doi.org/10.1001/jamanetworkopen.2020.32064.
Feng, H., B. Zou, and Y. Tang. 2017. “Scale- and region-dependence in landscape-PM2.5 correlation: Implications for urban planning.” Remote Sens. 9 (9): 918. https://doi.org/10.3390/rs9090918.
Gautam, S., A. K. Patra, and P. Kumar. 2019. “Status and chemical characteristics of ambient PM2.5 pollutions in China: A review.” Environ. Dev. Sustainability 21 (4): 1649–1674. https://doi.org/10.1007/s10668-018-0123-1.
Guo, J., and Z. Feng. 2019. “Study on spatial temporal distribution characteristics of air quality index in Beijing and its correlation with local meteorological conditions.” Discrete Dyn. Nat. Soc. 2019: 1–15. https://doi.org/10.1155/2019/1462034.
Han, F., R. Xie, and M. Lai. 2018. “Traffic density, congestion externalities, and urbanization in China.” Spatial Eco. Analy. 13 (4): 400–421. https://doi.org/10.1080/17421772.2018.1459045.
Han, L., W. Zhou, W. Li, and L. Li. 2014. “Impact of urbanization level on urban air quality: A case of fine particles (PM2.5) in Chinese cities.” Environ. Pollut. 194: 163–170. https://doi.org/10.1016/j.envpol.2014.07.022.
He, Q., W. He, Y. Song, J. Wu, C. Yin, and Y. Mou. 2018. “The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’.” Land Use Policy 78 (May): 726–738. https://doi.org/10.1016/j.landusepol.2018.07.020.
He, Q., C. Zeng, P. Xie, S. Tan, and J. Wu. 2019. “Comparison of urban growth patterns and changes between three urban agglomerations in China and three metropolises in the USA from 1995 to 2015.” Sustainable Cities Soc. 50: 101649. https://doi.org/10.1016/j.scs.2019.101649.
Jun, M. J. 2020. “The effects of polycentric evolution on commute times in a polycentric compact city: A case of the Seoul metropolitan area.” Cities 98: 102587. https://doi.org/10.1016/j.cities.2019.102587.
Kang, J. E., D. K. Yoon, and H. J. Bae. 2019. “Evaluating the effect of compact urban form on air quality in Korea.” Environ. Plann. B Urban Anal. City Sci. 46 (1): 179–200. https://doi.org/10.1177/2399808317705880.
Kilinc, B. K. 2019. “The effects of industry increase and urbanization on air pollutants in Turkey: A nonlinear air quality model.” Appl. Ecol. Environ. Res. 17 (4): 9889–9903. https://doi.org/10.15666/aeer/1704_98899903.
Lai, L. W., and W. L. Cheng. 2009. “Air quality influenced by urban heat island coupled with synoptic weather patterns.” Sci. Total Environ. 407 (8): 2724–2733. https://doi.org/10.1016/j.scitotenv.2008.12.002.
Lee, C. 2019. “Impacts of urban form on air quality: Emissions on the road and concentrations in the US metropolitan areas.” J. Environ. Manage. 246: 192–202. https://doi.org/10.1016/j.jenvman.2019.05.146.
Lee, S., and B. Lee. 2020. “Comparing the impacts of local land use and urban spatial structure on household VMT and GHG emissions.” J. Transp. Geogr. 84: 102694. https://doi.org/10.1016/j.jtrangeo.2020.102694.
Li, C., Y. Song, L. Tian, and W. Ouyang. 2020a. “Urban form, air quality, and cardiorespiratory mortality: A path analysis.” Int. J. Environ. Res. Public Health 17 (4): 1202. https://doi.org/10.3390/ijerph17041202.
Li, C., J. Li, and J. Wu. 2013. “Quantifying the speed, growth modes, and landscape pattern changes of urbanization: A hierarchical patch dynamics approach.” Landscape Ecol. 28 (10): 1875–1888. https://doi.org/10.1007/s10980-013-9933-6.
Li, F., and T. Zhou. 2019. “Effects of urban form on air quality in China: An analysis based on the spatial autoregressive model.” Cities 89: 130–140. https://doi.org/10.1016/j.cities.2019.01.025.
Li, Y., K. Zhu, and S. Wang. 2020b. “Polycentric and dispersed population distribution increases PM2.5 concentrations: Evidence from 286 Chinese cities, 2001–2016.” J. Cleaner Prod. 248: 119202. https://doi.org/10.1016/j.jclepro.2019.119202.
Lin, D., A. Allan, and J. Cui. 2015a. “The impact of polycentric urban development on commuting behaviour in urban China: Evidence from four sub-centres of Beijing.” Habitat Int. 50: 195–205. https://doi.org/10.1016/j.habitatint.2015.08.018.
Lin, D., A. Allan, and J. Cui. 2015b. “The impacts of urban spatial structure and socio-economic factors on patterns of commuting: A review.” Int. J. Urban Sci. 19 (2): 238–255. https://doi.org/10.1080/12265934.2015.1016092.
Lin, D., A. Allan, and J. Cui. 2016. “Exploring differences in commuting behaviour among various income groups during polycentric urban development in China: New evidence and its implications.” Sustainability 8 (11): 1188. https://doi.org/10.3390/su8111188.
Liu, X. 2019. “Effects of urban density and city size on Haze pollution in China: Spatial regression analysis based on 253 prefecture-level cities PM2.5 data.” Discrete Dyn. Nat. Soc. 2019: 1–8. https://doi.org/10.1155/2019/6754704.
Liu, X., X. Li, Y. Chen, Z. Tan, S. Li, and B. Ai. 2010. “A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data.” Landscape Ecol. 25 (5): 671–682. https://doi.org/10.1007/s10980-010-9454-5.
Liu, X., and M. Wang. 2016. “How polycentric is urban China and why? A case study of 318 cities.” Landscape Urban Plann. 151: 10–20. https://doi.org/10.1016/j.landurbplan.2016.03.007.
Liu, Z., and S. Liu. 2018. “Polycentric development and the role of urban polycentric planning in China’s mega cities: An examination of Beijing’s metropolitan area.” Sustainability 10 (5): 1588. https://doi.org/10.3390/su10051588.
Lu, C., and Y. Liu. 2016. “Effects of China's urban form on urban air quality.” Urban Stud. 53 (12): 2607–2623. https://doi.org/10.1177/0042098015594080.
Lu, D., W. Mao, D. Yang, J. Zhao, and J. Xu. 2018. “Effects of land-use and landscape pattern on PM2.5 in Yangtze River Delta in China.” Atmos. Pollut. Res. 9 (4): 705–713. https://doi.org/10.1016/j.apr.2018.01.012.
Lv, Y., Z. Lan, C. Kan, and X. Zheng. 2021. “Polycentric urban development and its determinants in China: A geospatial big data perspective.” Geogr. Anal. 53 (3): 520–542. https://doi.org/10.1111/gean.12236.
Massad, R. S., J. Lathiére, M. Perrin, E. Personne, M. Stefanon, P. Stella, S. Strada, S. Szopa, and N. de Noblet-Ducoudré. 2018. “Reviews and syntheses: Influences of landscape structure and land uses on local to regional climate and air quality.” Biogeosci. Discuss. 1–70. https://doi.org/10.5194/bg-2018-419.
McCarty, J., and N. Kaza. 2015. “Urban form and air quality in the United States.” Landscape Urban Plann. 139: 168–179. https://doi.org/10.1016/j.landurbplan.2015.03.008.
Miller, L., and X. Xu. 2018. “Ambient PM2.5 human health effects-findings in China and research directions.” Atmosphere 9 (11): 424. https://doi.org/10.3390/atmos9110424.
Moghadam, A. S., A. Soltani, B. Parolin, and M. Alidadi. 2018. “Analysing the space–time dynamics of urban structure change using employment density and distribution data.” Cities 81: 203–213. https://doi.org/10.1016/j.cities.2018.04.009.
Obregón-Biosca, S. A., J. A. Romero-Navarrete, J. F. Mendoza-Sanchez, and E. Betanzo-Quezada. 2016. “Impact of mobility induced by urban sprawl: Case study of the Querétaro metropolitan area.” J. Urban Plann. Dev. 142 (2): 05015005. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000295.
Qiao, Z., F. Wu, X. Xu, J. Yang, and L. Liu. 2019. “Mechanism of spatiotemporal air quality response to meteorological parameters: A national-scale analysis in China.” Sustainability 11 (14): 3957. https://doi.org/10.3390/su11143957.
Qiu, G., R. Song, and S. He. 2019. “The aggravation of urban air quality deterioration due to urbanization, transportation and economic development—Panel models with marginal effect analyses across China.” Sci. Total Environ. 651: 1114–1125. https://doi.org/10.1016/j.scitotenv.2018.09.219.
She, Q., X. Peng, Q. Xu, L. Long, N. Wei, M. Liu, W. Jia, T. Zhou, J. Han, and W. Xiang. 2017. “Air quality and its response to satellite-derived urban form in the Yangtze river delta, China.” Ecol. Indic. 75: 297–306. https://doi.org/10.1016/j.ecolind.2016.12.045.
Shi, K., J. Shen, L. Wang, M. Ma, and Y. Cui. 2020. “A multiscale analysis of the effect of urban expansion on PM2.5 concentrations in China: Evidence from multisource remote sensing and statistical data.” Build. Environ. 174: 106778. https://doi.org/10.1016/j.buildenv.2020.106778.
Shi, K., H. Wang, Q. Yang, L. Wang, X. Sun, and Y. Li. 2019. “Exploring the relationships between urban forms and fine particulate (PM2.5) concentration in China: A multi-perspective study.” J. Cleaner Prod. 231: 990–1004. https://doi.org/10.1016/j.jclepro.2019.05.317.
Song, Z., Q. Deng, and Z. Ren. 2020. “Correlation and principal component regression analysis for studying air quality and meteorological elements in Wuhan, China.” Environ. Progress Sustainable Energy 39 (1): 13278. https://doi.org/10.1002/ep.13278.
Stone, B. 2008. “Urban sprawl and air quality in large US cities.” J. Environ. Manage. 86 (4): 688–698. https://doi.org/10.1016/j.jenvman.2006.12.034.
Su, Y., C. Lu, X. Lin, L. Zhong, Y. Gao, and Y. Lei. 2020. “Analysis of spatio-temporal characteristics and driving forces of air quality in the northern coastal comprehensive economic zone, China.” Sustainability 12 (2): 536. https://doi.org/10.3390/su12020536.
Sun, B., S. Han, and W. Li. 2020. “Effects of the polycentric spatial structures of Chinese city regions on CO2 concentrations.” Transp. Res. Part D Transp. Environ. 82: 102333. https://doi.org/10.1016/j.trd.2020.102333.
Sun, B., Z. He, T. Zhang, and R. Wang. 2016. “Urban spatial structure and commute duration: An empirical study of China.” Int. J. Sustainable Transp. 10 (7): 638–644. https://doi.org/10.1080/15568318.2015.1042175.
Sun, T., and Y. Lv. 2020. “Employment centers and polycentric spatial development in Chinese cities: A multi-scale analysis.” Cities 99: 102617. https://doi.org/10.1016/j.cities.2020.102617.
Tang, U. W., and Z. S. Wang. 2007. “Influences of urban forms on traffic-induced noise and air pollution: Results from a modelling system.” Environ. Modell. Software 22 (12): 1750–1764. https://doi.org/10.1016/j.envsoft.2007.02.003.
Tao, J., L. Zhang, J. Cao, and R. Zhang. 2017. “A review of current knowledge concerning PM2.5 chemical composition, aerosol optical properties, and their relationships across China.” Atmos. Chem. Phys. Discuss. 1–70. https://doi.org/10.5194/acp-2017-271.
Vasanen, A. 2012. “Functional polycentricity: Examining metropolitan spatial structure through the connectivity of urban sub-centres.” Urban Stud. 49 (16): 3627–3644. https://doi.org/10.1177/0042098012447000.
Veneri, P. 2010. “Urban polycentricity and the costs of commuting: Evidence from Italian metropolitan areas.” Growth Change 41 (3): 403–429. https://doi.org/10.1111/j.1468-2257.2010.00531.x.
Wan, Z. 2006. MODIS land surface temperature products users’ guide, 5–15. Santa Barbara, CA: Institute for Computational Earth System Science, Univ. of California.
Wang, M., M. Madden, and X. Liu. 2017. “Exploring the relationship between urban forms and CO2 emissions in 104 Chinese cities.” J. Urban Plann. Dev. 143 (4): 04017014. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000400.
Wang, S., X. Liu, X. Yang, B. Zou, and J. Wang. 2018. “Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective.” J. Cleaner Prod. 203: 143–152. https://doi.org/10.1016/j.jclepro.2018.08.249.
Wang, S., G. Hua, and C. Li. 2019. “Urbanization, air quality, and the panel threshold effect in China based on kernel density estimation.” Emerg. Markets Finance Trade 55 (15): 3575–3590. https://doi.org/10.1080/1540496X.2019.1665016.
Wu, X., T. V. Vu, Z. Shi, R. M. Harrison, D. Liu, and K. Cen. 2018. “Characterization and source apportionment of carbonaceous PM2.5 particles in China—A review.” Atmos. Environ. 189: 187–212. https://doi.org/10.1016/j.atmosenv.2018.06.025.
Xia, T. Y., J. Y. Wang, K. Song, and L. J. Da. 2014. “Variations in air quality during rapid urbanization in Shanghai, China.” Landsc. Ecol. Eng. 10 (1): 181–190. https://doi.org/10.1007/s11355-011-0174-z.
Xiao, Q., G. Geng, F. Liang, X. Wang, Z. Lv, Y. Lei, X. Huang, Q. Zhang, Y. Liu, and K. He. 2020. “Changes in spatial patterns of PM2.5 pollution in China 2000–2018: Impact of clean air policies.” Environ. Int. 141: 105776. https://doi.org/10.1016/j.envint.2020.105776.
Xie, R., C. E. Sabel, X. Lu, W. Zhu, H. Kan, C. P. Nielsen, and H. Wang. 2016. “Long-term trend and spatial pattern of PM2.5 induced premature mortality in China.” Environ. Int. 97: 180–186. https://doi.org/10.1016/j.envint.2016.09.003.
Yoo, J., and R. Ready. 2016. “The impact of agricultural conservation easement on nearby house prices: Incorporating spatial autocorrelation and spatial heterogeneity.” J. For. Econ. 25: 78–93. https://doi.org/10.1016/j.jfe.2016.09.001.
Yu, Z., S. Zhong, C. Wang, Y. Yang, G. Yao, and Q. Huang. 2017. “Mapping comparison and meteorological correlation analysis of the air quality index in mid-eastern China.” ISPRS Int. J. Geo-Inf. 6 (2): 52. https://doi.org/10.3390/ijgi6020052.
Yuan, M., Y. Song, S. Hong, and Y. Huang. 2017. “Evaluating the effects of compact growth on air quality in already-high-density cities with an integrated land use-transport-emission model: A case study of Xiamen, China.” Habitat Int. 69: 37–47. https://doi.org/10.1016/j.habitatint.2017.08.007.
Yuan, M., Y. Song, Y. Huang, S. Hong, and L. Huang. 2018. “Exploring the association between urban form and air quality in China.” J. Plann. Educ. Res. 38 (4): 413–426. https://doi.org/10.1177/0739456X17711516.
Yue, W., T. Wang, Y. Liu, Q. Zhang, and X. Ye. 2019. “Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage.” Land Use Policy 88: 104176. https://doi.org/10.1016/j.landusepol.2019.104176.
Zhang, M., and P. Zhao. 2017. “The impact of land-use mix on residents’ travel energy consumption: New evidence from Beijing.” Transp. Res. Part D Transp. Environ. 57: 224–236. https://doi.org/10.1016/j.trd.2017.09.020.
Zhang, X., and Z. Gong. 2018. “Spatiotemporal characteristics of urban air quality in China and geographic detection of their determinants.” J. Geog. Sci. 28 (5): 563–578. https://doi.org/10.1007/s11442-018-1491-z.
Zhao, X., Y. Shang, and M. Song. 2019. “What kind of cities are more conducive to haze reduction: Agglomeration or expansion?” Habitat Int. 91: 102027. https://doi.org/10.1016/j.habitatint.2019.102027.
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Journal of Urban Planning and Development
Volume 148 • Issue 2 • June 2022
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© 2022 American Society of Civil Engineers.
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Received: Jan 2, 2021
Accepted: Dec 8, 2021
Published online: Feb 21, 2022
Published in print: Jun 1, 2022
Discussion open until: Jul 21, 2022
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- Genhong Gao, Steven G. Pueppke, Qin Tao, Jing Wei, Weixin Ou, Yu Tao, Effect of urban form on PM2.5 concentrations in urban agglomerations of China: Insights from different urbanization levels and seasons, Journal of Environmental Management, 10.1016/j.jenvman.2022.116953, 327, (116953), (2023).