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Many studies have shown that both urban vitality and urban carbon emissions are deeply affected by spatial planning and city structure. However, the specific relationship between urban vitality and urban carbon emissions is rarely studied. An index system of urban vitality was established from four aspects: social, economic, cultural, and environmental. After analyzing the spatial distribution characteristics of urban vitality combined with spatial syntax and the TOPSIS model, this paper further investigated the influence of urban vitality-building factors on the distribution of urban carbon emissions based on the Geodetector method. The research results show that: (1) Xuzhou shows obvious spatial differences in urban vitality, mainly decreasing from the center to the surrounding areas, with a small vitality center in the northeast. (2) The impact of different dimensions of vitality on urban carbon emissions is apparently different. (3) Facilities\u2019 aggregation has the weakest explanatory power for urban carbon emissions, while the NDVI has the highest explanatory power. This study helps to clarify the spatial correlation and influence mechanism between urban vitality and urban carbon emissions. Finally, some suggestions are proposed to construct low-carbon and high-vitality cities.<\/jats:p>","DOI":"10.3390\/rs15082173","type":"journal-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T04:53:59Z","timestamp":1681966439000},"page":"2173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Exploring the Spatial Relationship between Urban Vitality and Urban Carbon Emissions"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9421-3573","authenticated-orcid":false,"given":"Hui","family":"Yang","sequence":"first","affiliation":[{"name":"School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process of the Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2748-0131","authenticated-orcid":false,"given":"Qingping","family":"He","sequence":"additional","affiliation":[{"name":"School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Liu","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7234-6532","authenticated-orcid":false,"given":"Abdallah M.","family":"Mohamed Taha","sequence":"additional","affiliation":[{"name":"School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhang, L., Gu, Q.Y., Guo, J., and Huang, Y. (2022). Spatio-Temporal Differentiation Characteristics and Urbanization Factors of Urban Household Carbon Emissions in China. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19084451"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1080\/02529203.2010.524382","article-title":"The good life: Criticism and construction of urban meaning","volume":"31","author":"Lanfen","year":"2010","journal-title":"Soc. Sci. China"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.habitatint.2017.11.009","article-title":"Assessment on the urbanization strategy in China: Achievements, challenges and reflections","volume":"71","author":"Guan","year":"2018","journal-title":"Habitat Int."},{"key":"ref_4","unstructured":"Jacobs, J. (1961). The Death and Life of Great American Cities, Random House."},{"key":"ref_5","unstructured":"Lynch, K. (1960). The Image of the City, The MIT Press."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.cities.2017.11.008","article-title":"Urban form breeds neighborhood vibrancy: A case study using a GPS-based activity survey in suburban Beijing","volume":"74","author":"Wu","year":"2018","journal-title":"Cities"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1177\/2399808317715640","article-title":"Does block size matter? The impact of urban design on economic vitality for Chinese cities","volume":"46","author":"Long","year":"2019","journal-title":"Environ. Plan. B Urban Anal. City Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Jiang, Y.H., Chen, Z.J., and Sun, P.J. (2022). Urban Shrinkage and Urban Vitality Correlation Research in the Three Northeastern Provinces of China. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph191710650"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102454","DOI":"10.1016\/j.cities.2019.102454","article-title":"How do population inflow and social infrastructure affect urban vitality? Evidence from 35 large- and medium-sized cities in China","volume":"100","author":"Lan","year":"2020","journal-title":"Cities"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Shi, J.A., Miao, W., Si, H.Y., and Liu, T. (2021). Urban Vitality Evaluation and Spatial Correlation Research: A Case Study from Shanghai, China. Land, 10.","DOI":"10.3390\/land10111195"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Liu, S.J., Zhang, L., Long, Y., Long, Y., and Xu, M.H. (2020). A New Urban Vitality Analysis and Evaluation Framework Based on Human Activity Modeling Using Multi-Source Big Data. Isprs Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9110617"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1080\/13658816.2016.1220561","article-title":"Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy","volume":"31","author":"Yue","year":"2017","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Fan, Z.X., Duan, J., Luo, M.L., Zhan, H.R., Liu, M.R., and Peng, W.C. (2021). How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River. Isprs Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10090611"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.tra.2020.11.014","article-title":"Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen","volume":"144","author":"Yang","year":"2021","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Lu, S., Huang, Y., Shi, C., and Yang, X. (2019). Exploring the Associations Between Urban Form and Neighborhood Vibrancy: A Case Study of Chengdu, China. Isprs Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8040165"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"109456","DOI":"10.1016\/j.ecolind.2022.109456","article-title":"Relationship between urban spatial structure and carbon emissions: A literature review","volume":"144","author":"Shunfa","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6153","DOI":"10.1080\/00036846.2021.1937491","article-title":"Impact of urban density on carbon emissions in China","volume":"53","author":"Yi","year":"2021","journal-title":"Appl. Econ."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Sun, C., Zhang, Y., Ma, W., Wu, R., and Wang, S. (2022). The Impacts of Urban Form on Carbon Emissions: A Comprehensive Review. Land, 11.","DOI":"10.3390\/land11091430"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Li, C., Li, Y., Shi, K., and Yang, Q. (2020). A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17103416"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.resconrec.2018.03.011","article-title":"Towards a low carbon transition of urban public transport in megacities: A case study of Shenzhen, China","volume":"134","author":"Dong","year":"2018","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"128792","DOI":"10.1016\/j.jclepro.2021.128792","article-title":"The need for urban form data in spatial modeling of urban carbon emissions in China: A critical review","volume":"319","author":"Cai","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/s00267-014-0406-8","article-title":"Effects of Endogenous Factors on Regional Land-Use Carbon Emissions Based on the Grossman Decomposition Model: A Case Study of Zhejiang Province, China","volume":"55","author":"Wu","year":"2015","journal-title":"Environ. Manag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Guo, X., Chen, H., and Yang, X. (2021). An Evaluation of Street Dynamic Vitality and Its Influential Factors Based on Multi-Source Big Data. Isprs Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10030143"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1080\/19475705.2022.2091484","article-title":"Exploring the relationship between the built environment and block vitality based on multi-source big data: An analysis in Shenzhen, China","volume":"13","author":"Lv","year":"2022","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"21582440221134519","DOI":"10.1177\/21582440221134519","article-title":"Evaluating Urban Vitality Based on Geospatial Big Data in Xiamen Island, China","volume":"12","author":"Chen","year":"2022","journal-title":"Sage Open"},{"key":"ref_26","unstructured":"Xuzhou Statistics Department, and Statistical Bureau (2022, November 27). Statistical Bulletin of Xuzhou National Economic and Social Development in 2021 [EB\/OL], Available online: http:\/\/tj.xz.gov.cn\/xwzx\/001004\/20220325\/f8a67525-ef08-41d1-b962-4002e6d64fe4.html."},{"key":"ref_27","first-page":"972","article-title":"Urban Land-carbon Framework Construction Based on Ecological Network Analysis and Its Space-time Evolution Research","volume":"38","author":"Zou","year":"2022","journal-title":"J. Ecol. Rural. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"543","DOI":"10.5194\/acp-11-543-2011","article-title":"A very high-resolution (1 km \u00d7 1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights","volume":"11","author":"Oda","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"115419","DOI":"10.1016\/j.apenergy.2020.115419","article-title":"On the potential of \u201cPhotovoltaics plus Electric vehicles\u201d for deep decarbonization of Kyoto\u2019s power systems: Techno-economic-social considerations","volume":"275","author":"Kobashi","year":"2020","journal-title":"Appl. Energy"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"4691","DOI":"10.1111\/gcb.15219","article-title":"The impact of interventions in the global land and agri-food sectors on Nature\u2019s Contributions to People and the UN Sustainable Development Goals","volume":"26","author":"McElwee","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_31","first-page":"119","article-title":"Research on the coupling relationship between urban vitality and urban sprawl based on the multi-source nighttime light data-A case study of the western Taiwan Strait urban Agglomeration","volume":"37","author":"Lei","year":"2022","journal-title":"Hum. Geogr."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1080\/13574809808724418","article-title":"Making a city: Urbanity, vitality and urban design","volume":"3","author":"Montgomery","year":"1998","journal-title":"J. Urban Des."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1111\/j.2006.0030-1299.14714.x","article-title":"Entropy and diversity","volume":"113","author":"Jost","year":"2006","journal-title":"Oikos"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"427","DOI":"10.2307\/1934352","article-title":"Diversity and Evenness: A Unifying Notation and Its Consequences","volume":"54","author":"Hill","year":"1973","journal-title":"Ecology"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1111\/2041-210X.12613","article-title":"iNEXT: An R package for rarefaction and extrapolation of species diversity (Hill numbers)","volume":"7","author":"Hsieh","year":"2016","journal-title":"Methods Ecol. Evol."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Yue, W., Chen, Y., Zhang, Q., and Liu, Y. (2019). Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China. Sustainability, 11.","DOI":"10.3390\/su11030638"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1057\/udi.1999.19","article-title":"Centrality as a process: Accounting for attraction inequalities in deformed grids","volume":"4","author":"Hillier","year":"1999","journal-title":"Urban Des. Int."},{"key":"ref_38","unstructured":"Hillier, B., and Hanson, J. (1989). The Social Logic of Space, Cambridge University Press."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1068\/b200029","article-title":"Natural movement: Or, configuration and attraction in urban pedestrian movement","volume":"20","author":"Hillier","year":"1993","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1068\/b130016p","article-title":"Developing visibility analysis for a retail store: A pilot study in a bookstore","volume":"42","author":"Lu","year":"2015","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Zikirya, B., He, X., Li, M., and Zhou, C. (2021). Urban Food Takeaway Vitality: A New Technique to Assess Urban Vitality. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18073578"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Wang, W.W., Wang, S., Chen, H., Liu, L.J., Fu, T.L., and Yang, Y.X. (2022). Analysis of the Characteristics and Spatial Pattern of the Catering Industry in the Four Central Cities of the Yangtze River Delta. Isprs Int. J. Geo-Inf., 11.","DOI":"10.3390\/ijgi11060321"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1080\/02723638.2017.1381536","article-title":"How block density and typology affect urban vitality: An exploratory analysis in Shenzhen, China","volume":"39","author":"Ye","year":"2018","journal-title":"Urban Geogr."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"04021027","DOI":"10.1061\/(ASCE)UP.1943-5444.0000696","article-title":"Optimal Block Size for Improving Urban Vitality: An Exploratory Analysis with Multiple Vitality Indicators","volume":"147","author":"Gan","year":"2021","journal-title":"J. Urban Plan. Dev."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.cities.2019.01.014","article-title":"Culture counts: An empirical approach to measure the cultural and creative vitality of European cities","volume":"89","author":"Montalto","year":"2019","journal-title":"Cities"},{"key":"ref_46","unstructured":"Pohan, A.F., Ginting, N., and Zahrah, W. (2018, January 16). Case study: Asia Mega Mas Shophouse Area, Medan. Proceedings of the 1st International Conference on Industrial and Manufacturing Engineering (ICI and ME), Medan, Indonesia."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Zhu, J., Lu, H., Zheng, T., Rong, Y., Wang, C., Zhang, W., Yan, Y., and Tang, L. (2020). Vitality of Urban Parks and Its Influencing Factors from the Perspective of Recreational Service Supply, Demand, and Spatial Links. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17051615"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.esr.2019.03.003","article-title":"A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making","volume":"24","author":"Kaya","year":"2019","journal-title":"Energy Strategy Rev."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Liu, D.X., and Shi, Y.S. (2022). The Influence Mechanism of Urban Spatial Structure on Urban Vitality Based on Geographic Big Data: A Case Study in Downtown Shanghai. Buildings, 12.","DOI":"10.3390\/buildings12050569"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.eswa.2016.08.064","article-title":"A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications","volume":"65","author":"Kubler","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1029\/92WR00712","article-title":"Does choice of multicriteria method matter? An experiment in water resources planning","volume":"28","author":"Hobbs","year":"1992","journal-title":"Water Resour. Res."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Tzeng, G.H., and Huang, J.J. (2011). Multiple Attribute Decision Making: Methods and Applications, CRC Press.","DOI":"10.1201\/b11032"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1142\/S0219622016300019","article-title":"Development of TOPSIS Method to Solve Complicated Decision-Making Problems: An Overview on Developments from 2000 to 2015","volume":"15","author":"Zavadskas","year":"2016","journal-title":"Int. J. Inf. Technol. Decis. Mak."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Shi, Y., and Liu, D. (2020). Relationship between Urban New Business Indexes and the Business Environment of Chinese Cities: A Study Based on Entropy-TOPSIS and a Gaussian Process Regression Model. Sustainability, 12.","DOI":"10.3390\/su122410422"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Djordjevic, B., and Krmac, E. (2019). Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach. Energies, 12.","DOI":"10.3390\/en12152907"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.30638\/eemj.2018.203","article-title":"Applying the TOPSIS-F Method to Assess Air Pollution in Vilnius","volume":"17","author":"Zavadskas","year":"2018","journal-title":"Environ. Eng. Manag. J."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"104108","DOI":"10.1016\/j.tust.2021.104108","article-title":"Quantitative assessment method on urban vitality of metro-led underground space based on multi-source data: A case study of Shanghai Inner Ring area","volume":"116","author":"Dong","year":"2021","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","article-title":"Local indicators of spatial association\u2014LISA","volume":"27","author":"Anselin","year":"1995","journal-title":"Geogr. Anal."},{"key":"ref_59","unstructured":"Anselin, L., Syabri, I., and Smirnov, O. (2002, January 12). Visualizing multivariate spatial correlation with dynamically linked windows. Proceedings of the CSISS Workshop on New Tools for Spatial Data Analysis, Santa Barbara, CA, USA."},{"key":"ref_60","first-page":"395","article-title":"Analysis of Spatial Autocorrelation of Grain Production and Agricultural Storage in Parana","volume":"38","author":"Cima","year":"2018","journal-title":"Eng. Agric."},{"key":"ref_61","first-page":"116","article-title":"Geodetector: Principle and prospective","volume":"72","author":"Wang","year":"2017","journal-title":"Acta Geogr. Sin."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"101211","DOI":"10.1016\/j.gsf.2021.101211","article-title":"Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization","volume":"12","author":"Zhou","year":"2021","journal-title":"Geosci. Front."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"107339","DOI":"10.1016\/j.ecolind.2021.107339","article-title":"Evaluating the suitability of urban development land with a Geodetector","volume":"123","author":"Wang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Zhang, X., Liao, L., Xu, Z., Zhang, J., Chi, M., Lan, S., and Gan, Q. (2022). Interactive Effects on Habitat Quality Using InVEST and GeoDetector Models in Wenzhou, China. Land, 11.","DOI":"10.3390\/land11050630"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"102609","DOI":"10.1016\/j.scs.2020.102609","article-title":"Identifying urban vitality in metropolitan areas of developing countries from a comparative perspective: Ho Chi Minh City versus Shanghai","volume":"65","author":"Yue","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Fu, R., Zhang, X., Yang, D., Cai, T., and Zhang, Y. (2021). The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18020525"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Liu, S., Zhang, L., and Long, Y. (2019). Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion. Sustainability, 11.","DOI":"10.3390\/su11154032"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.cities.2013.07.010","article-title":"Evidence of Jacobs\u2019s street life in the great Seoul city: Identifying the association of physical environment with walking activity on streets","volume":"35","author":"Sung","year":"2013","journal-title":"Cities"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Li, Q., Cui, C., Liu, F., Wu, Q., Run, Y., and Han, Z. (2022). Multidimensional Urban Vitality on Streets: Spatial Patterns and Influence Factor Identification Using Multisource Urban Data. Isprs Int. J. Geo-Inf., 11.","DOI":"10.3390\/ijgi11010002"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Li, M.Y., and Pan, J.H. (2023). Assessment of Influence Mechanisms of Built Environment on Street Vitality Using Multisource Spatial Data: A Case Study in Qingdao, China. Sustainability, 15.","DOI":"10.3390\/su15021518"},{"key":"ref_71","first-page":"53","article-title":"Analysis of the distribution of Vitality Spaces in main urban areas of Chengdu city based on POI big data","volume":"51","author":"Luo","year":"2021","journal-title":"Ind. Constr."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Chen, J.L., Tian, W.K., Xu, K.X., and Pellegrini, P. (2022). Testing Small-Scale Vitality Measurement Based on 5D Model Assessment with Multi-Source Data: A Resettlement Community Case in Suzhou. Isprs Int. J. Geo-Inf., 11.","DOI":"10.3390\/ijgi11120626"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Kut, P., and Pietrucha-Urbanik, K. (2022). Most Searched Topics in the Scientific Literature on Failures in Photovoltaic Installations. Energies, 15.","DOI":"10.3390\/en15218108"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Li, H., Strauss, J., and Liu, L. (2019). A Panel Investigation of High-Speed Rail (HSR) and Urban Transport on China\u2019s Carbon Footprint. Sustainability, 11.","DOI":"10.3390\/su11072011"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.atmosenv.2010.10.037","article-title":"Spatial disaggregation of carbon dioxide emissions from road traffic based on multiple linear regression model","volume":"45","author":"Shu","year":"2011","journal-title":"Atmos. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"150864","DOI":"10.1016\/j.scitotenv.2021.150864","article-title":"Crucial factors of the built environment for mitigating carbon emissions","volume":"806","author":"Shen","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.landusepol.2019.03.003","article-title":"Multiangle land use-linked carbon balance examination in Nanjing City, China","volume":"84","author":"Chuai","year":"2019","journal-title":"Land Use Policy"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Li, S., Xue, F., Xia, C., Zhang, J., Bian, A., Lang, Y., and Zhou, J. (2022). A Big Data-Based Commuting Carbon Emissions Accounting Method-A Case of Hangzhou. Land, 11.","DOI":"10.3390\/land11060900"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"120313","DOI":"10.1016\/j.techfore.2020.120313","article-title":"Impact of spatial structure of urban agglomeration on carbon emissions: An analysis of the Shandong Peninsula, China","volume":"161","author":"Liu","year":"2020","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Jiang, B. (2019). Living Structure Down to Earth and Up to Heaven: Christopher Alexander. Urban Sci., 3.","DOI":"10.3390\/urbansci3030096"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.physa.2016.07.038","article-title":"A complex-network perspective on Alexander\u2019s wholeness","volume":"463","author":"Jiang","year":"2016","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_82","unstructured":"Alexander, C. (2004). The Nature of Order, Taylor & Francis."},{"key":"ref_83","unstructured":"Jiang, B. Trends in Spatial Analysis and Modelling of Settlements and Infrastructure, Proceedings of the 1st International Land Use Symposium (ILUS), Dresden, Germany, 11\u201313 November 2015, Springer."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"234","DOI":"10.2307\/143141","article-title":"A computer movie simulating urban growth in the Detroit region","volume":"46","author":"Tobler","year":"1970","journal-title":"Econ. Geogr."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"101750","DOI":"10.1016\/j.compenvurbsys.2021.101750","article-title":"Representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order","volume":"92","author":"Jiang","year":"2022","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Jiang, B., and de Rijke, C. (2021). Structural Beauty: A Structure-Based Computational Approach to Quantifying the Beauty of an Image. J. Imaging, 7.","DOI":"10.3390\/jimaging7050078"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"101646","DOI":"10.1016\/j.compenvurbsys.2021.101646","article-title":"A new approach to detecting and designing living structure of urban environments","volume":"88","author":"Jiang","year":"2021","journal-title":"Comput. Environ. Urban Syst."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2173\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:19:35Z","timestamp":1760123975000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2173"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,20]]},"references-count":87,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["rs15082173"],"URL":"https:\/\/doi.org\/10.3390\/rs15082173","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,20]]}}}