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Articles

Revealing the mechanism of urban form affecting energy footprint and carrying capacity: an empirical analysis of Nanjing, China

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Pages 48-81 | Received 29 Nov 2021, Accepted 17 May 2023, Published online: 06 Jun 2023

References

  • Abbasi, M. A., Parveen, S., Khan, S., & Kamal, M. A. (2020). Urbanization and energy consumption effects on carbon dioxide emissions: Evidence from Asian-8 countries using panel data analysis. Environmental Science and Pollution Research, 27(15), 18029–18043. doi:10.1007/s11356-020-08262-w
  • Adams, S., Boateng, E., & Acheampong, A. O. (2020). Transport energy consumption and environmental quality: Does urbanization matter? Science of the Total Environment, 744), doi:10.1016/j.scitotenv.2020.140617
  • Ahn, Y. J., & Sohn, D. W. (2019). The effect of neighbourhood-level urban form on residential building energy use: A GIS-based model using building energy benchmarking data in Seattle. Energy and Buildings, 196, 124–133. doi:10.1016/j.enbuild.2019.05.018
  • Alexander, C. (2020). Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST). International Journal of Applied Earth Observation and Geoinformation, 86), doi:10.1016/j.jag.2019.102013
  • Boccalatte, A., Fossa, M., Gaillard, L., & Menezo, C. (2020). Microclimate and urban morphology effects on building energy demand in different European cities. Energy and Buildings, 224, 110129. doi:10.1016/j.enbuild.2020.110129
  • Bramley, G., & Power, S. (2009). Urban form and social sustainability: The role of density and housing type. Environment and Planning B: Planning and Design, 36(1), 30–48. doi:10.1068/b33129
  • Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. doi:10.1016/S1361-9209(97)00009-6
  • Chao, L., & Qing, S. (2011). An empirical analysis of the influence of urban form on household travel and energy consumption. Computers, Environment and Urban Systems, 35(5), 347–357. doi:10.1016/j.compenvurbsys.2011.05.006
  • Chen, A., Yang, X., Guo, J., Zhang, M., Xing, X., Yang, D., … Jiang, L. (2022). Dynamic of land use, landscape, and their impact on ecological quality in the northern sand-prevention belt of China. Journal of Environmental Management, 317, 115351. doi:10.1016/j.jenvman.2022.115351
  • Chen, D., Zhou, Q. g., & Yu, L. (2020 August). Response of resources and environment carrying capacity under the evolution of land use structure in Chongqing section of the three gorges reservoir area. Journal of Environmental Management, 274, 111169. doi:10.1016/j.jenvman.2020.111169
  • Chen, H. C., Han, Q., & de Vries, B. (2020). Urban morphology indicator analyzes for urban energy modeling. Sustainable Cities and Society, 52), doi:10.1016/j.scs.2019.101863
  • Chen, S., Kharrazi, A., Liang, S., Fath, B. D., Lenzen, M., & Yan, J. (2020). Advanced approaches and applications of energy footprints toward the promotion of global sustainability. Applied Energy, 261), doi:10.1016/j.apenergy.2019.114415
  • Chen, Y., Du, S. Y., Li, Y. X., & Shi, X. (2022). Correlation between urban form and urban traffic energy consumption: Progress, consensus, and difficulties. Urban Planning Forum, 270(04), 51–57. doi:10.16361/j.upf.202204006
  • Chen, Y., Li, X., Zheng, Y., Guan, Y., & Liu, X. (2011). Estimating the relationship between urban forms and energy consumption: A case study in the pearl river delta, 2005-2008. Landscape and Urban Planning, 102(1), 33–42. doi:10.1016/j.landurbplan.2011.03.007
  • Chaohui, Y. (2019). Effects of urban built environment on urban heat Effects of urban built environment on urban heat island effect and its optimization. Wuhan University.
  • Cho, S. H., Soh, M., Park, K., & Kim, H. J. (2022). Impact of the rise of solo living and an ageing population on residential energy consumption in South Korea. Energy & Environment, 33(2), 399–416. doi:10.1177/0958305X211002322
  • Chuai, X., & Feng, J. (2019). High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing city, China. Science of the Total Environment, 686, 828–837. doi:10.1016/j.scitotenv.2019.05.138
  • Deng, J. Y., Wong, N. H., & Zheng, X. (2021). Effects of street geometries on building cooling demand in Nanjing, China. Renewable and Sustainable Energy Reviews, 142, 110862. doi:10.1016/j.rser.2021.110862
  • Ding, H, & Shi, H. (2017). The surface temperature and land use change analysis of Nanjing based on time series data. Proceedings of the 34th Annual Meeting of the Chinese Meteorological Society S5 on Climate Change, Low Carbon Development and Ecological Civilization Construction, 233–247
  • Fan, Chenjing, Tian, Li, Zhou, Lin, Hou, Deyi, Song, Yan, Qiao, Xiaohui, … Li, Jingwei. (2018). Examining the impacts of urban form on air pollutant emissions: Evidence from China. Journal of Environmental Management, 212, 405–414. http://dx.doi.org/10.1016/j.jenvman.2018.02.001
  • Fang, C., Wang, S., & Li, G. (2015). Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities. Applied Energy, 158, 519–531. doi:10.1016/j.apenergy.2015.08.095
  • Fei, L., Shuwen, Z., Jiuchun, Y., Kun, B., Qing, W., Junmei, T., & Liping, C. (2016). The effects of population density changes on ecosystem services value: A case study in western jilin, China. Ecological Indicators, 61, 328–337. doi:10.1016/j.ecolind.2015.09.033
  • Feng, Y., Hu, T., & Zhang, L. (2014). Impacts of structure characteristics on the thermal environment effect of city parks. Acta Ecologica Sinica, 34(12), 3179–3187. doi:10.5846/stxb201306101641
  • Frank, L. D., & Engelke, P. O. (2001). The built environment and human activity patterns: Exploring the impacts of urban form on public health. Journal of Planning Literature, 16(2), 202–218. doi:10.1177/08854120122093339
  • Guo, Liang, Luo, Jia, Yuan, Man, Huang, Yaping, Shen, Huanfeng, & Li, Tongwen. (2019). The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data. Science of The Total Environment, 659, 1585–1596. http://dx.doi.org/10.1016/j.scitotenv.2018.12.448
  • Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. doi:10.1007/s11747-011-0261-6
  • Han, D., Xu, X., Qiao, Z., Wang, F., Cai, H., An, H., … Han, W. (2023). The roles of surrounding 2D/3D landscapes in park cooling effect: Analysis from extreme hot and normal weather perspectives. Building and Environment, 231), doi:10.1016/j.buildenv.2023.110053
  • He, S., Yu, S., Li, G., & Zhang, J. (2020). Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities. Land Use Policy, 95, doi:10.1016/J.LANDUSEPOL.2020.104576
  • Hou, L, Wu, F, & Xie, X. (2020). The spatial characteristics and relationships between landscape pattern and ecosystem service value along an urban-rural gradient in Xi’an city. China. Ecol Indic, 108.
  • Huyun. (2013). Study on the relationship between different types of water bodies and land surface temperature in Shanghai City. Yangtze River, 44(19), 88–90.
  • IEA. (2023). CO2 Emissions in 2022. https://www.iea.org/publications/freepublications
  • Jing, Q., Bai, H., Luo, W., Cai, B., & Xu, H. (2018). A top-bottom method for city-scale energy-related CO2 emissions estimation: A case study of 41 Chinese cities. Journal of Cleaner Production, 202, 444–455. doi:10.1016/j.jclepro.2018.08.179
  • Kamal, A., Abidi, S. M. H., Mahfouz, A., Kadam, S., Rahman, A., Hassan, I. G., & Wang, L. L. (2021). Impact of urban morphology on urban microclimate and building energy loads. Energy and Buildings, 253, 111499. doi:10.1016/j.enbuild.2021.111499
  • Kaza, N. (2020). Urban form and transportation energy consumption. Energy Policy, 136, 111049. doi:10.1016/j.enpol.2019.111049
  • Khan, M. K., Teng, J. Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of the Total Environment, 688, 424–436. doi:10.1016/j.scitotenv.2019.06.065
  • Krizek, K. J. (2003). Residential relocation and changes in urban travel:Does neighborhood-scale urban form matter? Journal of the American Planning Association, 69(3), 265–281. doi:10.1080/01944360308978019
  • Leng, H., Chen, X., Ma, Y., Wong, N. H., & Ming, T. (2020). Urban morphology and building heating energy consumption: Evidence from harbin, a severe cold region city. Energy and Buildings, 224), doi:10.1016/j.enbuild.2020.110143
  • Li, F., & Zhou, T. (2019). Effects of urban form on air quality in China: An analysis based on the spatial autoregressive model. Cities, 89, 130–140. doi:10.1016/j.cities.2019.01.025
  • Li, F., Zhou, T., & Lan, F. (2021). Relationships between urban form and air quality at different spatial scales: A case study from northern China. Ecological Indicators, 121, 107029. doi:10.1016/j.ecolind.2020.107029
  • Li, L., Sun, W., Hu, W., & Sun, Y. (2021). Impact of natural and social environmental factors on building energy consumption: Based on bibliometrics. Journal of Building Engineering, 37), doi:10.1016/j.jobe.2020.102136
  • Li, R., Li, L., & Wang, Q. (2022). The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces. Sustainable Cities and Society, 82), doi:10.1016/j.scs.2022.103880
  • Li, X., Zhou, Y., Yu, S., Jia, G., Li, H., & Li, W. (2019). Urban heat island impacts on building energy consumption: A review of approaches and findings. Energy, 174, 407–419. doi:10.1016/j.energy.2019.02.183
  • Li, Z., Zhu, G., Ji, C., Hou, D., & Sun, H. (2021). Analysis on the trend and driving mechanism of urban growth based on impervious surface index: Taking Nanjing city for example. Resources and Environment in the Yangtze Basin, 30(3), 575–590.
  • Liu, C., & Shen, Q. (2011). An empirical analysis of the influence of urban form on household travel and energy consumption. Computers, Environment and Urban Systems, 35(5), 347–357. doi:10.1016/j.compenvurbsys.2011.05.006
  • Liu, L., Bian, Z., & Ding, S. (2018). Effects of landscape spatial heterogeneity on the generation and provision of ecosystem services. Acta Ecologica Sinica, 38(18), 6412–6421. doi:10.5846/stxb201801160119
  • Liu, M, & Li, W. (2009). The calculation of China's equivalence factor under ecological footprint mode based on net primary production. Journal of Natural Resources, 24, 1550–1559.
  • Liu, Y., Song, Y., & Arp, H. P. (2012). Examination of the relationship between urban form and urban eco-efficiency in China. Habitat International, 36(1), 171–177. doi:10.1016/j.habitatint.2011.08.001
  • Lopez, R. (2014). Urban sprawl in the United States: 1970-2010. Cities and the Environment, 7(1), Article 7.
  • Luo, W., Ren, Y., Shen, L., Zhu, M., Jiang, Y., Meng, C., & Zhang, P. (2020). An evolution perspective on the urban land carrying capacity in the urbanization era of China. Science of the Total Environment, 744, 140827. doi:10.1016/j.scitotenv.2020.140827
  • Mahtta, R., Fragkias, M., Güneralp, B., Mahendra, A., Reba, M., Wentz, E. A., & Seto, K. C. (2022). Urban land expansion: The role of population and economic growth for 300+ cities. Npj Urban Sustainability, 2(1), doi:10.1038/s42949-022-00048-y
  • Manzhi, L., Zhang, X., Zhang, M., Feng, Y., Liu, Y., Wen, J., & Liu, L. (2021). Influencing factors of carbon emissions in transportation industry based on C–D function and LMDI decomposition model: China as an example. Environmental Impact Assessment Review, 90), doi:10.1016/j.eiar.2021.106623
  • Modarres, A. (2017). Commuting, energy consumption, and the challenge of sustainable urban development. Current Opinion in Environmental Sustainability, 25, 1–7. doi:10.1016/j.cosust.2017.01.011
  • Mostafavi, N., Heris, M. P., Gándara, F., & Hoque, S. (2021). The relationship between urban density and building energy consumption. Buildings 2021, 11(10), 455. doi:10.3390/buildings11100455
  • Mouzourides, Petros, Kyprianou, Andreas, Neophytou, Marina K.-A, Ching, Jason, & Choudhary, Ruchi. (2019). Linking the urban-scale building energy demands with city breathability and urban form characteristics. Sustainable Cities and Society, 49, 101460. doi:10.1016/j.scs.2019.101460
  • Mraihi, R., ben Abdallah, K., & Abid, M. (2013). Road transport-related energy consumption: Analysis of driving factors in Tunisia. Energy Policy, 62, 247–253. doi:10.1016/j.enpol.2013.07.007
  • Muñoz González, C. M., León Rodríguez, A. L., Suárez Medina, R., & Ruiz Jaramillo, J. (2020). Effects of future climate change on the preservation of artworks, thermal comfort and energy consumption in historic buildings. Applied Energy, 276), doi:10.1016/j.apenergy.2020.115483
  • Ning, Q., Ou, Y., Tang, F., & Zeng, Z. (2020). Temporal and Spatial Evolution of Landscape Pattern in Dongting Lake Area under the Influence of Land Use Change. Economic Geography, 40(9), 196–203.
  • OECD. (2012) Compact city policies: A comparative assessment, OECD Green Growth Studies. Paris: OECD Publishing. doi:10.1787/9789264167865-en
  • Pan, Y., & Dong, F. (2022). Design of energy use rights trading policy from the perspective of energy vulnerability. Energy Policy, 160, 112668. doi:10.1016/j.enpol.2021.112668
  • Pu, Yanru, Wang, Yuyi, & Wang, Peng. (2022). Driving effects of urbanization on city-level carbon dioxide emissions: from multiple perspectives of urbanization. International Journal of Urban Sciences, 26(1), 108–128. http://dx.doi.org/10.1080/12265934.2020.1803105
  • Qiao, W., Mao, G., Wang, Y. (2016). Research on urban expansion and land use change in Nanjing over the past 32 years. Journal of Geo-in-Formation Science, 18(2), 200–209.
  • Rahman, M. M. (2020). Exploring the effects of economic growth, population density and international trade on energy consumption and environmental quality in India. International Journal of Energy Sector Management, 14(6), 1177–1203. doi:10.1108/IJESM-11-2019-0014
  • Rode, P., Floater, G., Thomopoulos, N., Docherty, J., Schwinger, P., Mahendra, A., & Fang, W. (2017). Accessibility in cities: Transport and urban form. In G. Meyer, & S. Shaheen (Eds.), Disrupting mobility. Lecture Notes in mobility. Cham: Springer. doi:10.1007/978-3-319-51602-8_15
  • She, Q., Peng, X., Xu, Q., Long, L., Wei, N., Liu, M., … Zhou, T. (2017). Air quality and its response to satellite-derived urban form in the Yangtze river delta, China. Ecological Indicators, 75, 297–306. doi:10.1016/j.ecolind.2016.12.045
  • Shi, C., Dehui, M., Yuanjun, Z., & Xiaohui, Y. (2019). Influence of landscape spatial heterogeneity on ecosystem services. Animal Husbandry and Feed Science, 40(08), 58–63.
  • Shi, K., Wang, H., Yang, Q., Wang, L., Sun, X., & Li, Y. (2019). Exploring the relationships between urban forms and fine particulate (PM2.5) concentration in China: A multi-perspective study. Journal of Cleaner Production, 231, 990–1004. doi:10.1016/j.jclepro.2019.05.317
  • Shibuya, T., & Croxford, B. (2016). The effect of climate change on office building energy consumption in Japan. Energy and Buildings, 117, 149–159. doi:10.1016/j.enbuild.2016.02.023
  • Shu, X., Chuyu, X., Yan, L., Juer, T., & Zhou, S. (2018). Relationships between carbon emission, urban growth, and urban forms of urban agglomeration in the Yangtze river delta. Acta Ecologica Sinica, 38(17), 6302–6313. doi:10.5846/stxb201707101242
  • Silva, M. C., Horta, I. M., Leal, V., & Oliveira, V. (2017). A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand. Applied Energy, 202, 386–398. doi:10.1016/j.apenergy.2017.05.113
  • Sun, M, Wang, J, & He, K. (2020). Analysis on the urban land resources carrying capacity during urbanization--A case study of Chinese YRD. Appl Geogr, 116.
  • Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application (JITTA), 11(2), https://aisel.aisnet.org/jitta/vol11/iss2/2
  • Vartholomaios, Aristotelis. (2017). A parametric sensitivity analysis of the influence of urban form on domestic energy consumption for heating and cooling in a Mediterranean city. Sustainable Cities and Society, 28, 135–145. http://dx.doi.org/10.1016/j.scs.2016.09.006
  • Wang, P., Yang, Y., Ji, C., & Huang, L. (2023). Influence of built environment on building energy consumption: A case study in Nanjing, China. Environment, Development and Sustainability, 1–24. doi:10.1007/S10668-023-02930-W/TABLES/9
  • Wang, P., Yu, P., Lu, J., & Zhang, Y. (2022). The mediation effect of land surface temperature in the relationship between land use-cover change and energy consumption under seasonal variations. Journal of Cleaner Production, 340, doi:10.1016/j.jclepro.2022.130804
  • Wang, P., Li, Y., & Zhang, Y. (2021). An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, China. Natural Hazards, 109(3), 2575–2599. http://dx.doi.org/10.1007/s11069-021-04933-0
  • Wang, Q., Su, M., Li, R., & Ponce, P. (2019). The effects of energy prices, urbanization and economic growth on energy consumption per capita in 186 countries. Journal of Cleaner Production, 225, 1017–1032. doi:10.1016/j.jclepro.2019.04.008
  • Wang, T., & Feng, J. (2016). Dynamic change analysis of energy ecological footprint and its influencing factors in China. Ecological Economy, 32, 19–24.
  • Wanqing, Y., Peng, Y., Xiao, S., & Baolong, H. (2022). Changes of landscape pattern and its impacts on multiple ecosystem services in Beijing. Acta Ecologica Sinica, 42(16), 6487–6498. doi:10.5846/STXB202107272042
  • Wen, L., & Li, Z. (2019). Driving forces of national and regional CO2 emissions in China combined IPAT-E and PLS-SEM model. Science of the Total Environment, 690, 237–247. doi:10.1016/j.scitotenv.2019.06.370
  • Wu, X., & Hu, F. (2020). Analysis of ecological carrying capacity using a fuzzy comprehensive evaluation method. Ecological Indicators, 113, doi:10.1016/j.ecolind.2020.106243
  • Xue, R. (2020). Research on fuzhou energy ecological footprint and ecological carrying capacity based on net primary productivity model. Anhui Agric. Sci., 48, 64–67.
  • Yinan, Z., & Peiru, Y. (2021). Correlation between urban form and energy consumption based on multidisciplinary design optimization. Journal of Tongji University (Natural Science), 49(7), 1013. doi:10.11908/j.issn.0253-374x.21090
  • Yuan, Z. (2020). Literature review of population and land resources. Cooperative economy and science and technology, 16, 32–33.
  • Zarco-Periñán, P. J., Zarco-Soto, I. M., & Zarco-Soto, F. J. (2021). Influence of population density on CO2 emissions eliminating the influence of climate. Atmosphere, 12(9), 1193. doi:10.3390/atmos12091193
  • Zeng, S. (2014). The effect of road construction on urban heat island effect in Chengdu. Ecology and Environment, 23(10), 1622–1627. doi:10.16258/j.cnki.1674-5906.2014.10.005
  • Zhang, C., Liu, Y., Lu, W., & Xiao, G. (2019). Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice, 120, 149–164. doi:10.1016/j.tra.2018.12.013
  • Zhang, M., & Zhao, P. (2017). The impact of land-use mix on residents’ travel energy consumption: New evidence from Beijing. Transportation Research Part D: Transport and Environment, 57, 224–236. doi:10.1016/j.trd.2017.09.020
  • Zhang, Y., Shen, W., Li, M., & Lv, Y. (2020). Assessing spatio-temporal changes in forest cover and fragmentation under urban expansion in Nanjing, eastern China, from long-term landsat observations (1987–2017). Applied Geography, 117, 102190. doi:10.1016/j.apgeog.2020.102190
  • Zhao, Q., Myint, S. W., Wentz, E. A., & Fan, C. (2015). Rooftop surface temperature analysis in an urban residential environment. Remote Sensing, 7(9), 12135–12159. doi:10.3390/rs70912135
  • Zhou, S., & Liu, Y. (2010). The situation and transition of jobs-housing relocation in Guangzhou, China. Acta Geogr. Sin, 65, 191–201.
  • Zhu, S., Li, Y., Wei, S., Wang, C., Zhang, X., Jin, X., … Shi, X. (2022). The impact of urban vegetation morphology on urban building energy consumption during summer and winter seasons in Nanjing, China. Landscape and Urban Planning, 228, 104576. https://doi.org/10.1016/J.LANDURBPLAN.2022.104576
  • Zhu, X., Zhang, P., Wei, Y., Li, Y., & Zhao, H. (2019 February). Measuring the efficiency and driving factors of urban land use based on the DEA method and the PLS-SEM model—A case study of 35 large and medium-sized cities in China. Sustainable Cities and Society, 50, 101646. doi:10.1016/j.scs.2019.101646
  • Zihao, W., & Ziyu, T. (2022). Research on the evolutionary characteristics of urban physical spatial form under the urban scale: A case study based on Nanjing. South Architecture, 8, 84–91. doi:10.3969/j.issn.1000-0232.2022.08.009
  • Zou, J., & Zeng, H. (2017). Relationships between urban landscape pattern and land surface temperature: A case study of Shenzhen. Acta Scientiarum Naturalium Universitatis Pekinensis, 53(3), 436–444. doi:10.13209/j.0479-8023.2017.021

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