Yuan, H., Zhu, C.L. (2020). Do smart cities accelerate urban innovation? J. China Soft Science, 29(04): 75-83.[2] Sun, X., Shan, X.Z. (2021) .Spatial infrastructure construction of smart cities: from functional synergy to digital synergy. J. E-Government, (12): 80-89. [3] Cheng, C.X., Shi P.J., Song C.Q. (2018) .Geographic big data provides new opportunities for geographic complexity research. J. Journal of Geography, 73(08): 1397-1406. [4] Xu, Z., Gao, X.L. (2016). A method of urban built-up area boundary identification based on electronic map interest points. J. Journal of Geography, 71(6): 928-39.[5] Dou, W.S., Wang, C.X., Xue, M.Y., Wang, Z.H. (2020) .A study on the identification and evaluation of urban land functions based on POI data: an example of five districts in Jinan. J. World Geography Research, 29(04): 804-13. [6] Zhang, J.Q., Shi, W.B., Xiu, C.L. (2021) .Application of POI data in urban research in China. J. Geoscience, 41(01): 140-48.[7] Yan, Q.Y., Zhu, Q., Wang, X.K. (2021) Identification and Analysis of Urban Fringe Areas in Linyi City Based on POI Data. In: 2021 Annual China Urban Planning Conference. Cheng Du. pp. 255-66.[8] Wang, H.C., Xu, H. (2019) .Study on the distribution of urban-rural intersection zones in Shanghai based on POI and kernel density analysis. J. Journal of Shanghai Jiaotong University (Agricultural Science), 37(01): 1-5+18.[9] TU, T., XIE, X.J., LIANG, H.Y. (2014). comprehensive evaluation and spatial analysis of county economy in Chongqing based on entropy power TOPSIS and GIS. J. Economic Geography, 34(06): 40-47. [10]Qian, J.P., Zhou, Y., Yang, X.T. (2007). Scoping of urban-rural intersection based on remote sensing and information entropy: Jingzhou City as an example. J. Yangtze River Basin Resources and Environment, (4): 451-55. [11]Lu, W., Li, Y.C., Zhao, R.K. (2022) .Using Remote Sensing to Identify Urban Fringe Areas and Their Spatial Pattern of Educational Resources: A Case Study of the Chengdu-Chongqing Economic Circle. J. Remote Sensing, 14(13). [12]Jiang, Y., Dou, Y. (2020) .Study on the identification and spatial evolution of oasis urban fringe areas in arid zones--based on POI data analysis. J. China Land and Resource Economy, 33(08): 81-89.[13]Lei, Z.C. (2019) Identification and spatial analysis of urban fringe areas based on POI. D. Guangzhou University, Guangzhou. [14]CONG, X.P. (2017) .The study of urban physical boundary and virtual boundary based on big data. D. Liaoning Normal University, Dalian.[15]Gao, X.L., Xu, Z.N., Niu, F.Q. (2015) .Urban cluster boundary identification based on "point-axis system" theory. J. Advances in Geosciences, 34(3): 280-89.