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Research Article

Identifying city communities in China by fusing multisource flow data

, &
Pages 4247-4264 | Received 13 Apr 2023, Accepted 04 Oct 2023, Published online: 11 Oct 2023

References

  • Bagrow, J. P., and E. M. Bollt. 2005. “Local Method for Detecting Communities.” Physical Review E 72 (4): 046108. https://doi.org/10.1103/PhysRevE.72.046108.
  • Bakillah, M., R. Lia, and S. Liang. 2015. “Geo-located Community Detection in Twitter with Enhanced Fast-Greedy Optimization of Modularity: The Case Study of Typhoon Haiyan.” International Journal of Geographical Information Science 29 (2): 258–279. https://doi.org/10.1080/13658816.2014.964247.
  • Bedi, P., and C. Sharma. 2016. “Community Detection in Social Networks.” Wiley Interdisciplinary Reviews Data Mining & Knowledge Discovery 6 (3): 115–135. https://doi.org/10.1002/widm.1178.
  • Belyadi, H., and A. Haghighat. 2021. Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications.. Oxford: Gulf Professional Publishing.
  • Blondel, V., J. Guillaume, R. Lambiotte, and E. Lefebvre. 2008. “Fast Unfolding of Communities in Large Networks.” Journal of Statistical Mechanics: Theory and Experiment 2008 (10): P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008.
  • Cai, H., Z. Wang, and Y. Zhu. 2022. “Understanding the Structure and Determinants of Intercity Carbon Emissions Association Network in China.” Journal of Cleaner Production 352:131535. https://doi.org/10.1016/j.jclepro.2022.131535.
  • Chen, Z. 2017. “Impacts of High-Speed Rail on Domestic Air Transportation in China.” Journal of Transport Geography 62:184–196. https://doi.org/10.1016/j.jtrangeo.2017.04.002.
  • Chen, W. 2021. “Delineating the Spatial Boundaries of Megaregions in China: A City Network Perspective.” Complexity 2021:2574025. https://doi.org/10.1155/2021/2574025.
  • Chen, J., Y. Li, X. Yang, S. Zhao, and Y. Zhang. 2021. “VGHC: A Variable Granularity Hierarchical Clustering for Community Detection.” Granular Computing 6 (1): 37–46. https://doi.org/10.1007/s41066-019-00195-1.
  • Chen, W., W. Liu, W. Ke, and N. Wang. 2018. “Understanding Spatial Structures and Organizational Patterns of City Networks in China: A Highway Passenger Flow Perspective.” Journal of Geographical Sciences 28 (4): 477–494. https://doi.org/10.1007/s11442-018-1485-x.
  • Chowdhary, A. 2017. “Community Detection: Hierarchical Clustering Algorithms.” International Journal of Creative Research Thoughts 5 (4): 2320–2882.
  • Devriendt, L., A. Boulton, S. Brunn, B. Derudder, and F. Witlox. 2011. “Searching for Cyberspace: The Position of Major Cities in the Information age.” Journal of Urban Technology 18 (1): 73–92. https://doi.org/10.1080/10630732.2011.578410.
  • Ding, S., M. Zhang, Y. Xing, and J. Lu. 2022. “Revealing Urban Community Structures by Fusing Multisource Transportation Data.” Journal of Transportation Engineering Part A-Systems 148 (9): 04022060. https://doi.org/10.1061/JTEPBS.0000704.
  • Fang, C., and D. Yu. 2017. “Urban Agglomeration: An Evolving Concept of an Emerging Phenomenon.” Landscape and Urban Planning 162:126–136. https://doi.org/10.1016/j.landurbplan.2017.02.014.
  • Fortunato, S., and D. Hric. 2016. “Community Detection in Networks: A User Guide.” Physics Reports 659:1–44. https://doi.org/10.1016/j.physrep.2016.09.002.
  • Gao, S., Y. Liu, Y. Wang, and X. Ma. 2013. “Discovering Spatial Interaction Communities from Mobile Phone Data.” Transactions in GIS 17 (3): 463–481. https://doi.org/10.1111/tgis.12042.
  • Girvan, M., and M. Newman. 2002. “Community Structure in Social and Biological Networks.” Proceedings of the National Academy of Sciences 99 (12): 7821–7826. https://doi.org/10.1073/pnas.122653799.
  • Gong, J., S. Li, X. Ye, Q. Peng, and S. Kudva. 2021. “Modelling Impacts of High-Speed Rail on Urban Interaction with Social Media in China's Mainland.” Geo-spatial Information Science 24 (4): 16. https://doi.org/10.1080/10095020.2021.1972771.
  • Hashmi, S., H. Fan, Z. Fareed, and F. Shahzad. 2021. “Asymmetric Nexus Between Urban Agglomerations and Environmental Pollution in Top Ten Urban Agglomerated Countries Using Quantile Methods.” Environmental Science and Pollution Research 28 (11): 13404–13424. https://doi.org/10.1007/s11356-020-10669-4.
  • Hasnat, M., and S. Hasan. 2018. “Identifying Tourists and Analyzing Spatial Patterns of Their Destinations from Location-Based Social Media Data.” Transportation Research Part C 96:38–54. https://doi.org/10.1016/j.trc.2018.09.006.
  • Hong, Y., and Y. Yao. 2019. “Hierarchical Community Detection and Functional Area Identification with osm Roads and Complex Graph Theory.” International Journal of Geographical Information Science 33 (8): 1569–1587. https://doi.org/10.1080/13658816.2019.1584806.
  • Jing, F., Z. Li, S. Qiao, J. Zhang, B. Olatosi, and X. Li. 2023. “Using Geospatial Social Media Data for Infectious Disease Studies: A Systematic Review.” International Journal of Digital Earth 16 (1): 130–157. https://doi.org/10.1080/17538947.2022.2161652.
  • Jokar, E., and M. Mosleh. 2019. “Community Detection in Social Networks Based on Improved Label Propagation Algorithm and Balanced Link Density.” Physics Letters A 383 (8): 718–727. https://doi.org/10.1016/j.physleta.2018.11.033.
  • Kraft, S., M. Halás, P. Klapka, and V. Blažeka. 2022. “Functional Regions as a Platform to Define Integrated Transport System Zones: The use of Population Flows Data.” Applied Geography 144:102732. https://doi.org/10.1016/j.apgeog.2022.102732.
  • Krings, G., F. Calabrese, C. Ratti, and V. D. Blondel. 2009. “Urban Gravity: A Model for Inter-City Telecommunication Flows.” Journal of Statistical Mechanics: Theory and Experiment 2009 (7): L07003. https://doi.org/10.1088/1742-5468/2009/07/l07003.
  • Li, P., Y. Feng, X. Tong, R. Wang, S. Zhai, Y. Tang, and W. Liu. 2022a. “Spatial Planning-Constrained Modeling of Urban Growth in the Yangtze River Delta Considering the Element Flows.” GIScience & Remote Sensing 59 (1): 1491–1508. https://doi.org/10.1080/15481603.2022.2118345.
  • Li, B., S. Gao, Y. Liang, Y. Kang, T. Prestby, Y. Gao, and R. Xiao. 2020a. “Estimation of Regional Economic Development Indicator from Transportation Network Analytics.” Scientific Reports 10 (1):2647. https://doi.org/10.1038/s41598-020-59505-2.
  • Li, L., S. Ma, Y. Zheng, and X. Xiao. 2022b. “Integrated Regional Development: Comparison of Urban Agglomeration Policies in China.” Land Use Policy 114:105939. https://doi.org/10.1016/j.landusepol.2021.105939.
  • Li, X., J. Tang, X. Hu, and W. Wang. 2020b. “Assessing Intercity Multimodal Choice Behavior in a Touristy City: A Factor Analysis.” Journal of Transport Geography 86:102776. https://doi.org/10.1016/j.jtrangeo.2020.102776.
  • Lierde, H., T. Chow, and G. Chen. 2020. “Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks.” IEEE Transactions on Knowledge and Data Engineering 32 (4): 754–767. https://doi.org/10.1109/TKDE.2019.2892096.
  • Lin, J., Z. Wu, and X. Li. 2019. “Measuring Inter-City Connectivity in an Urban Agglomeration Based on Multi-Source Data.” International Journal of Geographical Information Science 33 (5): 1062–1081. https://doi.org/10.1080/13658816.2018.1563302.
  • Liu, X., B. Derudder, and C. Garcia. 2013. “Exploring the Co-evolution of the Geographies of air Transport Aviation and Corporate Networks.” Journal of Transport Geography 30 (3): 26–36. https://doi.org/10.1016/j.jtrangeo.2013.02.002.
  • Liu, Y., Z. Sui, C. Kang, and Y. Gao. 2014. “Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-in Data.” PLoS ONE 9 (1): e86026. https://doi.org/10.1371/journal.pone.0086026.
  • Lu, Z., and Z. Dong. 2023. “A Gravitation-Based Hierarchical Community Detection Algorithm for Structuring Supply Chain Network.” International Journal of Computational Intelligence Systems 16 (1): 110. https://doi.org/10.1007/s44196-023-00290-x.
  • Ng, A., M. Jordan, and Y. Weiss. 2001. “On Spectral Clustering: Analysis and an Algorithm.” Advances in Neural Information Processing Systems 14:849–856.
  • Qin, J., C. Song, M. Tang, Y. Zhang, and J. Wang. 2019. “Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos.” Sustainability 11 (20): 5822. https://doi.org/10.3390/su11205822.
  • Román, C., J. Martin, R. Espino, E. Cherchi, J. Ortuzar, L. Rizzi, R. González, and F. Amador. 2014. “Valuation of Travel Time Savings for Intercity Travel: The Madrid-Barcelona Corridor.” Transport Policy 36:105–117. https://doi.org/10.1016/j.tranpol.2014.07.007.
  • Ruths, D., and J. Pfeffer. 2014. “Social Media for Large Studies of Behavior.” Science 346 (6213): 1063–1064. https://doi.org/10.1126/science.346.6213.1063.
  • Shen, J., Z. Huang, W. Zhou, and D. Zhao. 2022. “Revealing Population flow Patterns in the Sichuan-Chongqing Region, China, During the COVID-19 Epidemic in 2020.” Annals of GIS 28 (4): 533–545. https://doi.org/10.1080/19475683.2022.2090435.
  • South, T., B. Smart, M. Roughan, and L. Mitchell. 2022. “Information Flow Estimation: A Study of News on Twitter.” Online Social Networks and Media 31:100231. https://doi.org/10.1016/j.osnem.2022.100231.
  • Tang, M., J. Hong, G. Liu, and G. Shen. 2019. “Exploring Energy Flows Embodied in China's Economy from the Regional and Sectoral Perspectives via Combination of Multi-Regional Input-Output Analysis and a Complex Network Approach.” Energy 170:1191–1201. https://doi.org/10.1016/j.energy.2018.12.164.
  • Toth, C., D. Helic, and B. C. Geiger. 2022. “Synwalk: Community Detection via Random Walk Modelling.” Data Mining and Knowledge Discovery 36 (2):739–780. https://doi.org/10.1007/s10618-021-00809-w.
  • Wang, J., D. Du, and J. Huang. 2020. “Inter-City Connections in China: High-Speed Train vs. Inter-City Coach.” Journal of Transport Geography 82:102619. https://doi.org/10.1016/j.jtrangeo.2019.102619.
  • Wang, L., L. Xin, Y. Zhu, Y. Fang, and L. Zhu. 2023. “Associations Between Temperature Variations and Tourist Arrivals: Analysis Based on Baidu Index of hot-Spring Tourism in 44 Cities in China.” Environmental Science and Pollution Research 30:43641–43653. https://doi.org/10.1007/s11356-023-25404-y.
  • Wei, Y., W. Song, C. Xiu, and Z. Zhao. 2018. “The Rich-Club Phenomenon of China's Population Flow Network During the Country's Spring Festival.” Applied Geography 96:77–85. https://doi.org/10.1016/j.apgeog.2018.05.009.
  • Wu, J., and Y. Deng. 2015. “Intercity Information Diffusion and Price Discovery in Housing Markets: Evidence from Google Searches.” The Journal of Real Estate Finance and Economics 50 (3):289–306. https://doi.org/10.1007/s11146-014-9493-9.
  • Xu, J., A. Li, D. Li, Y. Liu, Y. Du, T. Pei, M. Ting, and C. Zhou. 2017. “Difference of Urban Development in China from the Perspective of Passenger Transport Around Spring Festival.” Applied Geography 87:85–96. https://doi.org/10.1016/j.apgeog.2017.07.014.
  • Yin, H., Z. Zhang, Y. Wan, Z. Gao, Y. Guo, and R. Xiao. 2023. “Sustainable Network Analysis and Coordinated Development Simulation of Urban Agglomerations from Multiple Perspectives.” Journal of Cleaner Production 413 (10): 137378. https://doi.org/10.1016/j.jclepro.2023.137378.
  • Zhang, B., S. Cheng, Y. Zhao, and F. Lu. 2023. “Inferring Intercity Freeway Truck Volume from the Perspective of the Potential Destination City Attractiveness.” Sustainable Cities and Society 98:104834. https://doi.org/10.1016/j.scs.2023.104834.
  • Zhang, Z., A. Fang, L. Cui, Z. Pan, W. Zhang, C. Tan, and C. Wang. 2021. “Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks.” Discrete Dynamics in Nature and Society 2021:8325302. https://doi.org/10.1155/2021/8325302.
  • Zhen, F., X. Qin, X. Ye, H. Sun, and Z. Luosang. 2019. “Analyzing Urban Development Patterns Based on the Flow Analysis Method.” Cities 86:178–197. https://doi.org/10.1016/j.cities.2018.09.015.
  • Zheng, W., N. Du, Q. Zhang, and X. Xang. 2022. “Using Geodetector to Explore the Factors Affecting Evolution of the Spatial Structure of Information Flow in the Middle Reaches of the Yangtze River Urban Agglomeration.” GeoJournal 87 (6):4511–4529. https://doi.org/10.1007/s10708-021-10509-z.
  • Zhu, Z., T. Zhou, C. Jia, W. Liu, B. Liu, and J. Cao. 2020. “Community Detection Across Multiple Social Networks Based on Overlapping Users.” Transactions on Emerging Telecommunications Technologies 33 (6): e3928. https://doi.org/10.1002/ett.3928.