[1] Yanbing LIU, BAOlong Han, Jingru LIU. Harmonization of coupled human and natural systems in China urban area. Acta Ecologica Sinica, 41, 5578-5585(2021).

[2] Liang ZHANG, Wenze YUE, Yong LIU. Multidimensional analysis of the polycentric urban spatial structure—A case of Hangzhou. Economic Geography, 37, 67-75(2017).

[3] Yinfeng XU, Degen WANG, Mengyu SHA. Morphological evolution and influence mechanism of Suzhou urban space from the perspective of double dimension. Economic Geography, 39, 75-84(2019).

[4] Bing XUE, Bingyu ZHAO, Jingzhong LI. Urban complexity studies from the perspective of geography： A review based on the literature in the past 20 years. Progress in Geography, 41, 157-172(2022).

[5] Lifeng LIANG, Benhua TAN, Yongshan MA et al. Research on urban spatial structure based on multi-source big data. Remote Sensing Technology and Application, 36, 1446-1456(2021).

[6] Ping GAO, Wei QI, Shenghe LIU et al. Comparison of spatial structure and organization mode of city networks from the perspective of long-termand short-termpopulation flows. Human Geography, 38, 82-91(2023).

[7] Xiaohu ZHANG, Xun ZHANG, Ershun ZHONG et al. Study on the spatial structure and driving force of urban areas in Beijing based on building space structure. Geographical Research, 32, 2055-2065(2013).

[8] Qingxi SHEN, Chenggu LI, Qian LIU. Urban spatial structure by service facilities distribution：A case in main districts of Chang-chun. Economic Geography, 37, 129-135(2017).

[9] Chao WEN, Qingming ZHAN, Da LIU et al. Urban network structure analysis of the Yangtze River delta based on directed alternative centrality and power. Scientia Geography Sinica, 41, 971-979(2021).

[10] Feng ZHEN, Zherui Li, Zhimin Xie. Analysis of urban internal spatial structure characteristics and its influencing factors based on population flow： A case study of Nanjing. Geographical Research, 41, 1525-1539(2022).

[11] Jiuwen SUN, Xiaolun ZHOU. Spatial structure and lnfluencing factors of the Yangtze River delta urban agglomeration from a multidimensional perspective： Based on NPP-VIIRS nighttime lighting data and gaode's population migration data. Economic Geography, 43, 78-88(2023).

[12] Z YOUSEFI, H DADASHPOOR. How do ICTs affect urban spatial structure？ A systematic literature review. The Journal of Urban Technology, 27, 47-65(2020).

[13] Hongwei DAI, Hongchang YANG. lmpact of spatial structure of urban agglomeration on technological innovation. Economic Geography, 43, 36-47(2023).

[14] Jiaying GUO, Yehua WEI, Wen CHEN et al. Progress of urban polycentricity research and planning practice in the context of spatial restructuring. Progress in Geography, 41, 316-329(2022).

[15] Bosheng ZHANG, Zisheng YANG. Spatio-temporal pattern and its influencing factors of coordinated development of man-land relationship in China using PSR model. Transactions of the Chinese Society of Agricultural Engineering, 37, 252-262(2021).

[16] Liang DING, Xiaodong SONG, Xinyi NIU. Characters of functional linage of urban spatial structure： A case study of Shanghai central city. City Planning Review, 43, 107-116(2019).

[17] Zhiqiang WU, Zhongnan YE. Research on urban spatial structure based on Baidu heat map： A case study on the central city of Shanghai. City Planning Review, 40, 33-40(2016).

[18] Wei HUANG. Research on reliability of road network system in urban agglomeration(2011).

[19] Wenze YUE, Jiamin ZHANG, Yong LIU et al. Measuring urban development intensity based on the integration of multi-source spatial data. Acta Ecologica Sinica, 39, 7914-7926(2019).

[20] Xue DENG, Jiaming LI, Haojian ZENG et al. Research on computation methods of AHP wight vector and its applications. Mathematics in Practice and Theory, 42, 93-100(2012).

[21] Hengyu GU, Tiyan SHEN, Lin ZHOU et al. Measuring street layout’s spatio-temporal effects on housing price based on GWR and sDNA model： The case study of guangzhou. Economic Geography, 38, 82-91(2018).

[22] C H V COOPER, A J F CHIARADIA. sDNA：3-d spatial network analysis for GIS，CAD，Command Line & Python. SoftwareX, 12, 100525(2020).

[23] S HE, S YU, P WEI et al. A spatial design network analysis of street networks and the locations of leisure entertainment activities： A case study of Wuhan， China. Sustainable Cities and Society, 44, 880-887(2019).

[24] C FANG, S HE, L WANG. Spatial characterization of urban vitality and the association with various street network metrics from the multi-scalar perspective. Frontiers in Public Health, 9(2021).

[25] T ZHANG, L LI. Research on temporal and spatial variations in the degree of coupling coordination of tourism-urbanization-ecological environment：A case study of Heilongjiang，China. Environment， Development and Sustainability, 23, 8474-8491(2021).

[26] Xiaonan CONG. Expression and mathematical property of coupling model， and its misuse in geographical science. Economic Geography, 39, 18-25(2019).

[27] Yingjie LIU, Shuang WANG. Coupling and coordination between elderly care industry and tourism industry in Yangtze River economic zone and its relationship with economic growth. Economic Geography, 42, 123-131(2022).

[28] Shimei WEI, Jinghu PAN. Identification of urban spatial structure in Zhengzhou city based on nighttime light and microblog check-in data. Remote Sensing Technology and Application, 37, 771-780(2022).

[29] Muchen ZHENG, Gang XU, Rui XIAO. Distance decay of nighttime lights from urban centers and its application. Progress in Geography, 41, 1251-1260(2022).

[30] Limin JIAO, Gang XU, Fengtao XIAO. Analyzing the impacts of urban expansion on green fragmentation using constraint gradient analysis. The Professional Geographer, 69, 553-566(2017).

[31] C ZENG, Y SONG, Q He et al. Spatially explicit assessment on urban vitality： Case studies in Chicago and Wuhan. Sustainable Cities and Society, 40, 296-306(2018).

[32] A ZHANG, W LI, J WU et al. How can the urban landscape affect urban vitality at the street block level？ A case study of 15 metropolises in China. Environment and Planning B： Urban Analytics and City Science, 48, 1245-1262(2021).

[33] C XIA, A G O YEH, A ZHANG. Analyzing spatial relationships between urban land use intensity and urban vitality at street block level： A case study of five Chinese megacities. Landscape and Urban Planning, 193, 103669(2020).

[34] LÜ Yongqiang et al. A method to identify the polycentric urban structure by using multi-source geospatial big data. Remote Sensing for Natural Resources, 35, 132-139(2023).

[35] Xinyi NIU, Liang DING, Xiaodong SONG. Understanding urban spatial structure of Shanghai central city based on mobile phone data. City Planning Review, 219, 61-67(2014).