A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data

References

• Altieri, M., E. Raskova, and A. Costa. 2022. “Differences in Railway Strategies: The Empirical Case of Private, Public-Owned, and Third-Sector Railways in Tokyo.” Research in Transportation Business & Management 43: 100787. https://doi.org/10.1016/j.rtbm.2022.100787.
   Web of Science ®Google Scholar
• Aulia, Zumrati, and Sally Octaviana. 2024. “Accessibility Study of Persons with Disabilities at Bandung Station–North Gate.” Jurnal Arsitektur Archicentre 7 (1): 24–30.
   Google Scholar
• BANK, W. O. R. L. D. 2022. “Urban Development.” Accessed May 17, 2022. https://www.worldbank.org/en/topic/urbandevelopment/overview#1.
   Google Scholar
• Bardaka, E., M. S. Delgado, and Rjgm Florax. 2018. “Causal Identification of Transit-Induced Gentrification and Spatial Spillover Effects: The Case of the Denver Light Rail.” Journal of Transport Geography 71: 15–31. https://doi.org/10.1016/j.jtrangeo.2018.06.025.
   Web of Science ®Google Scholar
• Bardaka, E., and J. Hersey. 2019. “Comparing the Travel Behavior of Affordable and Market-Rate Housing Residents in the Transit-Rich Neighborhoods of Denver, CO.” Travel Behaviour and Society 15: 74–87. https://doi.org/10.1016/j.tbs.2019.01.001.
   Web of Science ®Google Scholar
• Birkle, Caroline, David A. Pendlebury, Joshua Schnell, and Jonathan Adams. 2020. “Web of Science as a Data Source for Research on Scientific and Scholarly Activity.” Quantitative Science Studies 1 (1): 363–376. https://doi.org/10.1162/qss_a_00018.
   Google Scholar
• Brandão, Lívia Silva, João da Costa Pantoja, José Marcelo Martins Medeiros, and Valmor Cerqueira Pazos. 2024. “Transit-oriented Development (TOD) in a Scattered City: Applied Study in Brasília, Federal District.” Revista de Gestão e Secretariado 15 (2): e3520. https://doi.org/10.7769/gesec.v15i2.3520.
   Google Scholar
• Brown, B. B., and C. M. Werner. 2008. “Before and After a New Light Rail Stop: Resident Attitudes, Travel Behavior, and Obesity.” Journal of the American Planning Association 75 (1): 5–12. https://doi.org/10.1080/01944360802458013.
   Web of Science ®Google Scholar
• Cervero, R. 1994. “Rail Transit and Joint Development: Land Market Impacts in Washington, D.C. and Atlanta.” Journal of the American Planning Association 60 (1): 83–94. https://doi.org/10.1080/01944369408975554.
   Web of Science ®Google Scholar
• Cervero, R., M. Duncan, and Trb Trb. 2002. “Transit's Value-Added Effects - Light and Commuter Rail Services and Commercial Land Values.” In Travel Demand and Land Use 2002: Planning and Administration, 8–15. Washington: Transportation Research Board Natl Research Council.
   Google Scholar
• Cervero, R., and K. Kockelman. 1997. “Travel Demand and the 3Ds: Density, Diversity, and Design.” Transportation Research Part D: Transport and Environment 2 (3): 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6.
   Web of Science ®Google Scholar
• Cervero, R., and J. Landis. 1993. “Assessing the Impacts of Urban Rail Transit on Local Real Estate Markets Using Quasi-Experimental Comparisons.” Transportation Research Part A: Policy and Practice 27 (1): 13–22. https://doi.org/10.1016/0965-8564(93)90013-B.
   Web of Science ®Google Scholar
• Cervero, R., and J. Landis. 1997. “Twenty Years of the Bay Area Rapid Transit System: Land use and Development Impacts.” Transportation Research Part A: Policy and Practice 31 (4): 309–333. https://doi.org/10.1016/S0965-8564(96)00027-4.
   Web of Science ®Google Scholar
• Chai, Ziyi. 2024. “The Evolution and Research Prospect of TOD Theory.” Highlights in Science, Engineering and Technology 83: 394–399. https://doi.org/10.54097/r26xsq56.
   Google Scholar
• Chan, H. Y., H. X. Ma, and J. P. Zhou. 2023. “Transit Usage in Social Shocks: A Case Study of Station-Level Metro Ridership in Anti-Extradition Protests in Hong Kong.” Transportation Research Record, 16. https://doi.org/10.1177/03611981221103587.
   Web of Science ®Google Scholar
• Chen, C. M. 2006. “CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature.” Journal of the American Society for Information Science and Technology 57 (3): 359–377. https://doi.org/10.1002/asi.20317.
   Web of Science ®Google Scholar
• Chen, C. M. 2018. “Eugene Garfield's Scholarly Impact: A Scientometric Review.” Scientometrics 114 (2): 489–516. https://doi.org/10.1007/s11192-017-2594-5.
   Web of Science ®Google Scholar
• Chen, T. Z., Y. Y. Chen, Y. Y. Zhou, and J. F. Guo. 2023. “Efficiency Assessment of Transit-Oriented Development Focusing on the 500-m Core Catchment of Metro Stations Based on the Concept of a Metro Microcenter in Beijing.” Journal of Transportation Engineering, Part A: Systems 149 (12): 15. https://doi.org/10.1061/jtepbs.Teeng-7373.
   Web of Science ®Google Scholar
• Chen, Y. J., J. L. Zhang, Y. Lu, K. Yang, H. X. Liu, and Y. Liang. 2024. “Multi-Stage Fusion Framework for Short-Term Passenger Flow Forecasting in Urban Rail Transit Systems Using Multi-Source Data.” Transportation Research Record, 19. https://doi.org/10.1177/03611981231224740.
   Web of Science ®Google Scholar
• Christaller, Walter. 1955. “Beiträge zu Einer Geographie des Fremdenverkehrs (Contributions to a Geography of the Tourist Trade).” Erdkunde:1-19.
   Google Scholar
• Cohen, J. P., and M. Brown. 2017. “Does a new Rail Rapid Transit Line Announcement Affect Various Commercial Property Prices Differently?” Regional Science and Urban Economics 66: 74–90. https://doi.org/10.1016/j.regsciurbeco.2017.05.006.
   Web of Science ®Google Scholar
• Dai, P., H. Fu, X. X. Yang, S. Han, G. N. Fu, and Y. J. Wang. 2023. “Exploring the Urban Renewal Strategy Based on Transit-Oriented Development Concept–A Case Study of Japan and Hong Kong.” Frontiers in Materials 10: 9. https://doi.org/10.3389/fmats.2023.1098027.
   Web of Science ®Google Scholar
• Dai, X. Q., L. J. Sun, and Y. Y. Xu. 2018. “Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach.” Journal of Advanced Transportation, https://doi.org/10.1155/2018/5942763.
   PubMed Web of Science ®Google Scholar
• Davies, S. J. C., B. Bolea-Alamanac, K. Endo, Y. Yamamoto, S. Yamasaki, A. Malins, J. Evans, et al. 2023. “Urban Factors and Mental Health Symptoms in Children of the Tokyo Early Adolescence Survey; Impact of Proximity to Railway Stations.” Journal of Transport & Health 28: 101564. https://doi.org/10.1016/j.jth.2022.101564.
   Web of Science ®Google Scholar
• de Luca, S., and A. Papola. 2001. “Evaluation of Travel Demand Management Policies in the Urban Area of Naples.” Paper Presented at the 7th International Conference on Urban Transport and the Environment for the 21st Century, Lemnos, Greece, May 14-16.
   Google Scholar
• Deng, Y., J. X. Wang, C. Gao, X. H. Li, Z. Wang, and X. L. Li. 2021. “Assessing Temporal-Spatial Characteristics of Urban Travel Behaviors from Multiday Smart-Card Data.” Physica A: Statistical Mechanics and its Applications 576: 126058. https://doi.org/10.1016/j.physa.2021.126058.
   Web of Science ®Google Scholar
• Deng, T. T., D. D. Wang, Y. Yang, and H. Yang. 2019. “Shrinking Cities in Growing China: Did High Speed Rail Further Aggravate Urban Shrinkage?” Cities 86: 210–219. https://doi.org/10.1016/j.cities.2018.09.017.
   Web of Science ®Google Scholar
• Deng, R., and H. N. Zhang. 2011. “Study on User-Friendly Design of Urban Light Rail Public Space and Facilities.” Paper Presented at the 12th IEEE International Conference on Computer-Aided Industrial Design and Conceptual Design, Chongqing, PEOPLES R CHINA, Dec 01-03.
   Google Scholar
• Deng, Y. L., and P. J. Zhao. 2022. “The Impact of new Metro on Travel Behavior: Panel Analysis Using Mobile Phone Data.” Transportation Research Part A: Policy and Practice 162: 46–57. https://doi.org/10.1016/j.tra.2022.05.013.
   Web of Science ®Google Scholar
• Dierwechter, Yonn, and Byron Miller. 2024. “Editorial: Relational Approaches to Urban Sustainability Governance.” Frontiers in Sustainable Cities 6), https://doi.org/10.3389/frsc.2024.1387149.
   Google Scholar
• Dill, J. 2008. “Transit Use at Transit-Oriented Developments in Portland, Oregon, Area.” Transportation Research Record: Journal of the Transportation Research Board 2063: 159–167. https://doi.org/10.3141/2063-19.
   Web of Science ®Google Scholar
• Dong, N. N., T. Z. Li, T. H. Liu, R. Tu, F. Lin, H. Liu, and Y. Y. Bo. 2023. “A Method for Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Deep Learning.” Multimedia Tools and Applications, https://doi.org/10.1007/s11042-023-14388-z.
   Web of Science ®Google Scholar
• Eom, J. K., J. Choi, M. S. Park, and T. Y. Heo. 2019. “Exploring the Catchment Area of an Urban Railway Station by Using Transit Card Data: Case Study in Seoul.” Cities 95: 102364. https://doi.org/10.1016/j.cities.2019.05.033.
   Web of Science ®Google Scholar
• ESCAP, U. N. 2024. Pathways to Sustainable Development: The Nexus of Transport, Energy, and Urban Planning in Asia and the Pacific.”.
   Google Scholar
• Feng, H. X., Y. T. Chen, J. Y. Wu, Z. Q. Zhao, Y. Q. Wang, and Z. T. Wang. 2023. “Urban Rail Transit Station Type Identification Based on “Passenger Flow—Land Use—Job-Housing”.” Sustainability 15 (20): 15103. https://doi.org/10.3390/su152015103.
   Web of Science ®Google Scholar
• Fujita, Masahisa, and Jacques-François Thisse. 1996. “Economics of Agglomeration.” Journal of the Japanese and International Economies 10 (4): 339–378. https://doi.org/10.1006/jjie.1996.0021.
   Web of Science ®Google Scholar
• Gakenheimer, R. 1999. “Urban Mobility in the Developing World.” Transportation Research Part A: Policy and Practice 33 (7-8): 671–689. https://doi.org/10.1016/S0965-8564(99)00005-1.
   Web of Science ®Google Scholar
• Gao, W., X. L. Sun, M. Zhao, Y. Gao, and H. R. Ding. 2024. “Evaluate Human Perception of the Built Environment in the Metro Station Area.” Land 13 (1): 90. https://doi.org/10.3390/land13010090.
   Web of Science ®Google Scholar
• Gao, F. C., Z. Q. Wang, Z. G. Liu, and Ieee. 2021. “Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction.” Paper Presented at the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Electr Network, Oct 06-09.
   Google Scholar
• Garcia-López, M. A., C. Hémet, and E. Viladecans-Marsal. 2017. “Next Train to the Polycentric City: The Effect of Railroads on Subcenter Formation.” Regional Science and Urban Economics 67: 50–63. https://doi.org/10.1016/j.regsciurbeco.2017.07.004.
   Web of Science ®Google Scholar
• Gendron-Carrier, Nicolas, Marco Gonzalez-Navarro, Stefano Polloni, and Matthew A Turner. 2022. “Subways and Urban air Pollution.” American Economic Journal: Applied Economics 14 (1): 164–196. https://doi.org/10.1257/app.20180168.
   PubMed Web of Science ®Google Scholar
• Gilat, M., J. M. Sussman, and Trb. 2003. “Coordinated Transportation and Land use Planning in the Developing World - Case of Mexico City.” In Sustainability and Environmental Concerns in Transportation 2003: Energy and Environment, 102–109. Washington: Transportation Research Board Natl Research Council.
   Google Scholar
• Giuliano, G., Y. T. Hou, S. Kang, and E. J. Shin. 2022. “Polycentricity and the Evolution of Metropolitan Spatial Structure.” Growth and Change 53 (2): 593–627. https://doi.org/10.1111/grow.12599.
   Web of Science ®Google Scholar
• Giunta, M. 2023. “Trends and Challenges in Railway Sustainability: The State of the Art Regarding Measures, Strategies, and Assessment Tools.” Sustainability 15 (24): 16632. https://doi.org/10.3390/su152416632.
   Web of Science ®Google Scholar
• Gong, Y. X., Y. Y. Lin, and Z. Y. Duan. 2017. “Exploring the Spatiotemporal Structure of Dynamic Urban Space Using Metro Smart Card Records.” Computers, Environment and Urban Systems 64: 169–183. https://doi.org/10.1016/j.compenvurbsys.2017.02.003.
   Web of Science ®Google Scholar
• Gonzalez-Navarro, Marco, and Matthew A Turner. 2018. “Subways and Urban Growth: Evidence from Earth.” Journal of Urban Economics 108: 85–106. https://doi.org/10.1016/j.jue.2018.09.002.
   Web of Science ®Google Scholar
• Greenwald, M. J. 2006. “The Relationship Between Land use and Intrazonal Trip Making Behaviors: Evidence and Implications.” Transportation Research Part D: Transport and Environment 11 (6): 432–446. https://doi.org/10.1016/j.trd.2006.09.003.
   Web of Science ®Google Scholar
• Hahn, E., A. Chatterjee, M. S. Younger, and Trb. 2002. “Macro-level Analysis of Factors Related to Areawide Highway Traffic Congestion.” In Transportation Planning and Analysis 2002: Planning and Administration, 11-16. Washington: Transportation Research Board Natl Research Council.
   Google Scholar
• Haque, I., and P. P. Patel. 2018. “Growth of Metro Cities in India: Trends, Patterns and Determinants.” Urban Research & Practice 11 (4): 338–377. https://doi.org/10.1080/17535069.2017.1344727.
   Web of Science ®Google Scholar
• He, S. Y. 2020. “Regional Impact of Rail Network Accessibility on Residential Property Price: Modelling Spatial Heterogeneous Capitalisation Effects in Hong Kong.” Transportation Research Part A: Policy and Practice 135: 244–263. https://doi.org/10.1016/j.tra.2020.01.025.
   Web of Science ®Google Scholar
• He, Y. X., L. S. Li, X. T. Zhu, and K. L. Tsui. 2022. “Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow.” Ieee Transactions on Intelligent Transportation Systems 23 (10): 18155–18174. https://doi.org/10.1109/TITS.2022.3150600.
   Web of Science ®Google Scholar
• He, D. Q., F. Meng, M. Q. Wang, and K. B. He. 2011. “Impacts of Urban Transportation Mode Split on CO2 Emissions in Jinan, China.” Energies 4 (4): 685–699. https://doi.org/10.3390/en4040685.
   Web of Science ®Google Scholar
• Healey, R. G., W. G. Thomas, and K. Lahman. 2013. “Railroads and Regional Labor Markets in the mid-Nineteenth-Century United States: A Case Study of the Baltimore and Ohio Railroad.” Journal of Historical Geography 41: 13–32. https://doi.org/10.1016/j.jhg.2012.12.008.
   Web of Science ®Google Scholar
• Hook, W., C. Kost, U. Navarro, M. Replogle, and B. Baranda. 2010. “Carbon Dioxide Reduction Benefits of Bus Rapid Transit Systems Learning from Bogota, Colombia; Mexico City, Mexico; and Jakarta, Indonesia.” Transportation Research Record 2193: 9–16. https://doi.org/10.3141/2193-02.
   Google Scholar
• Hsu, C. I., and S. P. Guo. 2001. “Household-mode Choice and Residential-Rent Distribution in a Metropolitan Area with Surface Road and Rail Transit Networks.” Environment and Planning A: Economy and Space 33 (9): 1547–1575. https://doi.org/10.1068/a33211.
   Web of Science ®Google Scholar
• Huang, Z. B., J. W. Wang, and X. Fu. 2019. “Design and Implementation of Eco-City Commuting Analysis System Based on Spatio-Temporal Big Data.” Ekoloji 28 (107): 3305–3313.
   Google Scholar
• Ibraeva, A., G. H. D. Correia, C. Silva, and A. P. Antunes. 2020. “Transit-oriented Development: A Review of Research Achievements and Challenges.” Transportation Research Part A: Policy and Practice 132: 110–130. https://doi.org/10.1016/j.tra.2019.10.018.
   Web of Science ®Google Scholar
• Isard, Walter. 1956. “Location and Space-Economy.”.
   Google Scholar
• Israel, E., and G. Cohen-Blankshtain. 2010. “Testing the Decentralization Effects of Rail Systems: Empirical Findings from Israel.” Transportation Research Part A: Policy and Practice 44 (7): 523–536. https://doi.org/10.1016/j.tra.2010.03.021.
   Web of Science ®Google Scholar
• Jiao, Liudan, Fengyan Wu, Yinghan Zhu, Qiudie Luo, Fenglian Luo, and Yu Zhang. 2022. “Research on the Coupling Coordination Relationship Between Urban Rail Transit System and Sustainable Urban Development.” Systems 10 (4), https://doi.org/10.3390/systems10040110.
   PubMed Web of Science ®Google Scholar
• Jie, Z., S. N. Ding, B. G. Guo, Z. C. Ma, and J. M. Jin. 2022. “Research on temporal and spatial distribution characteristics of passenger flow of Daxing airport line based on automatic fare collection data.” Expert Systems, 11. https://doi.org/10.1111/exsy.13009.
   Web of Science ®Google Scholar
• Jin, S. Y., C. F. Jing, Y. Wang, and X. X. Lv. 2022a. “Spatiotemporal graph convolutional neural networks for metro flow prediction.” Paper Presented at the 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Nice, FRANCE, Jun 06-11.
   Google Scholar
• Jin, S. X., D. Wang, and B. Su. 2022b. “Functional Orientation and Spatial Siting of Subway Stations Based on Land Potential and Mixed Land Use.” Ain Shams Engineering Journal 13 (5): 101733. https://doi.org/10.1016/j.asej.2022.101733.
   Web of Science ®Google Scholar
• Jing, K. C., and W. C. Liao. 2023. “Small Things, big Impact: The Network-Mediated Spillover Effect Through a Transport Connectivity Enhancement Project.” Regional Science and Urban Economics 101: 103897. https://doi.org/10.1016/j.regsciurbeco.2023.103897.
   Web of Science ®Google Scholar
• Jon Whiteaker, Viola Caon. 2024. “What Killed Public Transport in the US?” Investment Monitor, Accessed 03-01. https://www.investmentmonitor.ai/features/what-killed-public-transport-in-the-us/.
   Google Scholar
• Jurkovic, Z., M. Hadzima-Nyarko, and D. Lovokovic. 2021. “Railway Corridors in Croatian Cities as Factors of Sustainable Spatial and Cultural Development.” Sustainability 13 (12): 6928. https://doi.org/10.3390/su13126928.
   Web of Science ®Google Scholar
• Kahn, M. E., and E. A. Morris. 2009. “Walking the Walk: The Association Between Community Environmentalism and Green Travel Behavior.” Journal of the American Planning Association 75 (4): 389–405. https://doi.org/10.1080/01944360903082290.
   Web of Science ®Google Scholar
• Khasnabis, S., and Council Natl Res. 1998. “Land Use and Transit Integration and Transit use Incentives.” In Transit Planning, Management, Marketing, New Technology, Capacity, and Quality of Service, 39–47. Washington: Natl Acad Sci.
   Google Scholar
• Khosrosereshki, F., and B. Moaveni. 2022. “Traffic Modeling and Validation for Intersecting Metro Lines by Considering the Effect of Transfer Stations.” Ieee Access 10: 1946–1955. https://doi.org/10.1109/ACCESS.2021.3139470.
   Web of Science ®Google Scholar
• Kim, S., and J. Byun. 2021. “Identifying Spatiotemporally-Varying Effects of a Newly Built Subway Line on Land Price: Difference and Correlation Between Commercial and Residential Uses.” International Journal of Sustainable Transportation 15 (5): 364–374. https://doi.org/10.1080/15568318.2020.1789248.
   Web of Science ®Google Scholar
• Kim, H., and D. Sohn. 2020. “The Urban Built Environment and the Mobility of People with Visual Impairments: Analysing the Travel Behaviours Based on Mobile Phone Data.” Journal of Asian Architecture and Building Engineering 19 (6): 731–741. https://doi.org/10.1080/13467581.2020.1779727.
   Web of Science ®Google Scholar
• Knight, R. L. 1980. “The Impact of Rail Transit on Land use: Evidence and a Change of Perspective.” Transportation 9 (1): 3–16. https://doi.org/10.1007/BF00147814.
   Web of Science ®Google Scholar
• Knight, R. L., and L. L. Trygg. 1977. “Evidence of Land use Impacts of Rapid Transit Systems.” Transportation 6 (3): 231–247. https://doi.org/10.1007/BF00177453.
   Web of Science ®Google Scholar
• Knowles, R. D., F. Ferbrache, and A. Nikitas. 2020. “Transport's Historical, Contemporary and Future Role in Shaping Urban Development: Re-Evaluating Transit Oriented Development.” Cities 99: 102607. https://doi.org/10.1016/j.cities.2020.102607.
   Web of Science ®Google Scholar
• Kobayashi, K., and M. Okumura. 1997. “The Growth of City Systems with High-Speed Railway Systems.” The Annals of Regional Science 31 (1): 39–56. https://doi.org/10.1007/s001680050038.
   Web of Science ®Google Scholar
• Koopmans, Tjalling C. 1963. “On the Concept of Optimal Economic Growth.”.
   Google Scholar
• Kumar, S., S. Ghosh, and S. Singh. 2022. “Polycentric Urban Growth and Identification of Urban hot Spots in Faridabad, the Million-Plus Metropolitan City of Haryana, India: A Zonal Assessment Using Spatial Metrics and GIS.” Environment, Development and Sustainability 24 (6): 8246–8286. https://doi.org/10.1007/s10668-021-01782-6.
   Web of Science ®Google Scholar
• Lavery, T. A., and P. Kanaroglou. 2012. “Rediscovering Light Rail: Assessing the Potential Impacts of a Light Rail Transit Line on Transit Oriented Development and Transit Ridership.” Transportation Letters 4 (4): 211–226. https://doi.org/10.3328/tl.2012.04.04.211-226.
   Web of Science ®Google Scholar
• Lawless, P. 1999. “Transport Investment and Urban Regeneration in a Provincial City: Sheffield, 1992-96.” Environment and Planning C: Government and Policy 17 (2): 211–226. https://doi.org/10.1068/c170211.
   Web of Science ®Google Scholar
• Lee, Bumsoo. 2006. Urban Spatial Structure, Commuting, and Growth in United States Metropolitan Areas.
   Google Scholar
• Leontief, Wassily W. 1936. “Quantitative Input and Output Relations in the Economic Systems of the United States.” In The Review of Economic Statistics, 105–125.
   Google Scholar
• Li, X. H., J. Y. Guo, C. Gao, Z. Su, D. Bao, and Z. L. Zhang. 2018. “Network-based Transportation System Analysis: A Case Study in a Mountain City.” Chaos, Solitons & Fractals 107: 256–265. https://doi.org/10.1016/j.chaos.2018.01.010.
   Web of Science ®Google Scholar
• Li, C., J. L. Huang, B. Wang, Y. Y. Zhou, Y. Y. Bai, and Y. Y. Chen. 2019. “Spatial-Temporal Correlation Prediction Modeling of Origin-Destination Passenger Flow Under Urban Rail Transit Emergency Conditions.” Ieee Access 7: 162353–162365. https://doi.org/10.1109/ACCESS.2019.2951604.
   Web of Science ®Google Scholar
• Li, X. J., and P. E. D. Love. 2022. “Procuring Urban Rail Transit Infrastructure by Integrating Land Value Capture and Public-Private Partnerships: Learning from the Cities of Delhi and Hong Kong.” Cities 122: 103545. https://doi.org/10.1016/j.cities.2021.103545.
   Web of Science ®Google Scholar
• Li, X. J., P. E. D. Love, H. B. Luo, and W. L. Fang. 2022a. “A Systemic Model for Implementing Land Value Capture to Support Urban Rail Transit Infrastructure Projects.” Transportation Research Part A: Policy and Practice 156: 90–112. https://doi.org/10.1016/j.tra.2021.12.010.
   Web of Science ®Google Scholar
• Li, X. W., J. X. Wu, D. Q. He, X. L. Teng, and C. H. Ren. 2023. “Learning Spatial-Temporal Dynamics for Short-Term Passenger Flow Prediction in Urban Rail Transit.” Transportation Research Record: Journal of the Transportation Research Board 2677 (5): 1330–1348. https://doi.org/10.1177/03611981221143109.
   Web of Science ®Google Scholar
• Li, Y. X., S. Wu, and B. J. Yan. 2022b. “Spatial Characteristics and Influential Mechanism of the Coupling Coordination Degree of Urban Accessibility and Human Development Index in China.” Environmental Science and Pollution Research 29 (20): 29793–29807. https://doi.org/10.1007/s11356-021-18414-1.
   PubMed Web of Science ®Google Scholar
• Li, H. B., X. C. Xu, X. Li, S. F. Ma, and H. H. Zhang. 2021. “Characterizing the Urban Spatial Structure Using Taxi Trip big Data and Implications for Urban Planning.” Frontiers of Earth Science 15 (1): 70–80. https://doi.org/10.1007/s11707-020-0844-y.
   Web of Science ®Google Scholar
• Liang, J. Z., S. Y. Xie, and J. J. Bao. 2024. “Analysis of a Multiple Traffic Flow Network's Spatial Organization Pattern Recognition Based on a Network Map.” Sustainability 16 (3): 1300. https://doi.org/10.3390/su16031300.
   Web of Science ®Google Scholar
• Lin, D., W. Broere, and J. Q. Cui. 2022a. “Metro Systems and Urban Development: Impacts and Implications.” Tunnelling and Underground Space Technology 125: 104509. https://doi.org/10.1016/j.tust.2022.104509.
   Web of Science ®Google Scholar
• Lin, Y. M., M. L. Li, and R. F. Lin. 2022b. “Can Urban Rail Transit Reduce Haze Pollution? A Spatial Difference-in-Differences Approach.” Environmental Science and Pollution Research 29 (54): 81430–81440. https://doi.org/10.1007/s11356-022-21490-6.
   PubMed Web of Science ®Google Scholar
• Lin, J. J., and T. Y. Shin. 2008. “Does Transit-Oriented Development Affect Metro Ridership?” Transportation Research Record: Journal of the Transportation Research Board 2063: 149–158. https://doi.org/10.3141/2063-18.
   Google Scholar
• Lin, S. F., and H. Y. Tian. 2020. “Short-Term Metro Passenger Flow Prediction Based on Random Forest and LSTM.” Paper Presented at the 4th IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Electr Network, Jun 12-14.
   Google Scholar
• Lin, J. J., and S. H. Yang. 2019. “Proximity to Metro Stations and Commercial Gentrification.” Transport Policy 77: 79–89. https://doi.org/10.1016/j.tranpol.2019.03.003.
   Web of Science ®Google Scholar
• Lin, D., Z. P. Zhou, M. C. Weng, W. Broere, and J. Q. Cui. 2024. “Metro Systems: Construction, Operation and Impacts.” Tunnelling and Underground Space Technology 143: 105373. https://doi.org/10.1016/j.tust.2023.105373.
   Web of Science ®Google Scholar
• Liu, Yudi, Nabamita Nath, Akito Murayama, and Rikutaro Manabe. 2022. “Transit-oriented Development with Urban Sprawl? Four Phases of Urban Growth and Policy Intervention in Tokyo.” Land Use Policy 112: 105854. https://doi.org/10.1016/j.landusepol.2021.105854.
   Web of Science ®Google Scholar
• Liu, X. T., and H. S. Xia. 2023. “Networking and Sustainable Development of Urban Spatial Planning: Influence of Rail Transit.” Sustainable Cities and Society 99: 104865. https://doi.org/10.1016/j.scs.2023.104865.
   Web of Science ®Google Scholar
• Liu, S. S., E. J. Yao, and B. B. Li. 2019. “Exploring Urban Rail Transit Station-Level Ridership Growth with Network Expansion.” Transportation Research Part D: Transport and Environment 73: 391–402. https://doi.org/10.1016/j.trd.2018.04.006.
   Web of Science ®Google Scholar
• Lizarraga, C. 2012. “Expansión Metropolitana y Movilidad: El Caso de Caracas.” EURE (Santiago) 38 (113): 99–125. https://doi.org/10.4067/s0250-71612012000100005.
   Google Scholar
• Lowry, Ira S. 1964. “A Model of Metropolis.”.
   Google Scholar
• Lu, K., J. T. Liu, X. S. Zhou, and B. M. Han. 2021. “A Review of Big Data Applications in Urban Transit Systems.” Ieee Transactions on Intelligent Transportation Systems 22 (5): 2535–2552. https://doi.org/10.1109/TITS.2020.2973365.
   Web of Science ®Google Scholar
• Lu, W. B., Y. Zhang, C. Q. Ma, B. J. Zhou, and T. Wang. 2022. “Measuring the Relationship Between Influence Factor and Urban Rail Transit Passenger Flow: Correlation or Causality?” Journal of Urban Planning and Development 148 (3): 14. https://doi.org/10.1061/(asce)up.1943-5444.0000870.
   Web of Science ®Google Scholar
• Luan, X., L. Cheng, Y. Song, and J. B. Zhao. 2020. “Better Understanding the Choice of Travel Mode by Urban Residents: New Insights from the Catchment Areas of Rail Transit Stations.” Sustainable Cities and Society 53: 101968. https://doi.org/10.1016/j.scs.2019.101968.
   Web of Science ®Google Scholar
• Luo, Y., J. Y. Zheng, X. Wang, Y. Y. Tao, and X. X. Jiang. 2023. “A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction.” Ieee Transactions on Intelligent Transportation Systems 24 (12): 15248–15258. https://doi.org/10.1109/TITS.2023.3308949.
   Web of Science ®Google Scholar
• Ma, D. D., Y. W. Chen, and IEEE. 2019. “Research on TOD Planning of Urban Rail Transit Based on Cellular Automata.” Paper Presented at the 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT), Guilin, PEOPLES R CHINA, Apr 26-28.
   Google Scholar
• Ma, X. S., and H. K. Lo. 2013. “On Joint Railway and Housing Development Strategy.” Transportation Research Part B: Methodological 57: 451–467. https://doi.org/10.1016/j.trb.2013.05.006.
   Web of Science ®Google Scholar
• Ma, C. X., F. L. Peng, Y. K. Qiao, and H. Li. 2023. “Influential Factors of Spatial Performance in Metro-led Urban Underground Public Space: A Case Study in Shanghai.” Underground Space 8: 229–251. https://doi.org/10.1016/j.undsp.2022.03.001.
   Web of Science ®Google Scholar
• Mahboob, Q., T. Stoiber, S. Gottstein, and A. Tsakarestos. 2012. “An Approach to Calculate Overall Efficiency of Rolling Stock for an Urban Rail Transit System.” Journal of Public Transportation 15 (1): 19–32. https://doi.org/10.5038/2375-0901.15.1.2.
   Web of Science ®Google Scholar
• Mbuh, M. J., R. Wheeler, and A. Cook. 2021. “Spatiotemporal Analysis of Urban Heat Island Intensification in the City of Minneapolis-St. Paul and Chicago Metropolitan Areas Using Landsat Data from 1984 to 2016.” Geocarto International 36 (14): 1565–1590. https://doi.org/10.1080/10106049.2019.1655802.
   Web of Science ®Google Scholar
• Meriläinen, M., A. Karhula, A. Kurvinen, H. Falkenbach, and S. Ala-Mantila. 2024. “Transit-induced Socioeconomic Ascent and New Metro Stations in Helsinki Metropolitan Area: Distinct Effects on Renters, Homeowners, and Pre-Existing Housing Dwellers.” Journal of Transport Geography 114 (8), https://doi.org/10.1016/j.jtrangeo.2023.103758.
   Google Scholar
• Milakis, D., T. Vlastos, and N. Barbopoulos. 2008. “Relationships Between Urban Form and Travel Behaviour in Athens, Greece. A Comparison with Western European and North American Results.” European Journal of Transport and Infrastructure Research 8 (3): 201–215.
   Web of Science ®Google Scholar
• Moreno-Pulido, S., P. Pavón-Domínguez, and P. Burgos-Pintos. 2021. “Temporal Evolution of Multifractality in the Madrid Metro Subway Network.” Chaos, Solitons & Fractals 142: 110370. https://doi.org/10.1016/j.chaos.2020.110370.
   Web of Science ®Google Scholar
• Na, J. M., J. Zhu, J. Z. Zheng, S. N. Di, H. Ding, and L. F. Ma. 2021. “Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China.” Isprs International Journal of Geo-Information 10 (5): 308. https://doi.org/10.3390/ijgi10050308.
   Web of Science ®Google Scholar
• Nanayakkara, Sanjini, Joshua Sperling, Caley Johnson, Ellen Morris, Riccardo Bracho, and Andrew Fang. 2023. “Just and Sustainable Mobility Transition in the Transport Sector: A Conceptual Framework and Gender-Mainstreaming Case Studies.” In National Renewable Energy Laboratory (NREL). Golden, CO (United States).
   Google Scholar
• Nasri, A., and L. Zhang. 2019. “Multi-level Urban Form and Commuting Mode Share in Rail Station Areas Across the United States; a Seemingly Unrelated Regression Approach.” Transport Policy 81: 311–319. https://doi.org/10.1016/j.tranpol.2018.05.011.
   Web of Science ®Google Scholar
• Orellana, D., and M. L. Guerrero. 2019. “Exploring the Influence of Road Network Structure on the Spatial Behaviour of Cyclists Using Crowdsourced Data.” Environment and Planning B: Urban Analytics and City Science 46 (7): 1314–1330. https://doi.org/10.1177/2399808319863810.
   Google Scholar
• Otsuka, N., and A. Reeve. 2024. “Railway Stations as Public Space: How to Promote Rail Journeys via Multi-Functional Railway Stations.” European Planning Studies, https://doi.org/10.1080/09654313.2023.2246508.
   Web of Science ®Google Scholar
• Ou, Yifu, Weize Song, and Kyung-Min Nam. 2024. “Metro-line Expansions and Local air Quality in Shenzhen: Focusing on Network Effects.” Transportation Research Part D: Transport and Environment 126: 103991. https://doi.org/10.1016/j.trd.2023.103991.
   Web of Science ®Google Scholar
• Ou, Y. F., J. Zheng, and K. M. Nam. 2022. “Impacts of Urban Rail Transit on On-Road Carbon Emissions: A Structural Equation Modeling Approach.” Atmosphere 13 (11): 1783. https://doi.org/10.3390/atmos13111783.
   Web of Science ®Google Scholar
• Ozturk, Z., and T. Ozturk. 2010. “Area Utilization and the Determination of the Ecological Factor of the Land Transport: On Istanbul.” Teknik Dergi 21 (1): 4979–4985.
   Web of Science ®Google Scholar
• Papagiannakis, A., A. Vitopoulou, and A. Yiannakou. 2021. “Transit-Oriented Development in the Southern European City of Thessaloniki Introducing Urban Railway: Typology and Implementation Issues.” European Planning Studies 29 (1): 117–141. https://doi.org/10.1080/09654313.2020.1724267.
   Web of Science ®Google Scholar
• Peng, H., H. F. Wang, B. W. Du, M. Z. A. Bhuiyan, H. Y. Ma, J. W. Liu, L. H. Wang, et al. 2020. “Spatial Temporal Incidence Dynamic Graph Neural Networks for Traffic Flow Forecasting.” Information Sciences 521: 277–290. https://doi.org/10.1016/j.ins.2020.01.043.
   Web of Science ®Google Scholar
• Qiao, J. M., and Inc Destech Publicat. 2016. “Landscape Design on Urban Rail Transit Station's Public Space.” Paper Presented at the International Conference on Education and Educational Research and Environmental Studies (EERES), Hong Kong, PEOPLES R CHINA, Sep 03-04.
   Google Scholar
• Rietveld, Piet. 1994. “Spatial Economic Impacts of Transport Infrastructure Supply.” Transportation Research Part A: Policy and Practice 28 (4): 329–341. https://doi.org/10.1016/0965-8564(94)90007-8.
   Web of Science ®Google Scholar
• Roth, C., S. M. Kang, M. Batty, and M. Barthélemy. 2011. “Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows.” PLoS One 6 (1): e15923. https://doi.org/10.1371/journal.pone.0015923.
   PubMed Web of Science ®Google Scholar
• Salaheldin, H. T., M. D. Major, A. M. Ahmad, and H. O. Tannous. 2023. “Analyzing Walkability in the Vicinity of Three Metro Stations in Doha, Qatar.” Open House International 48 (3): 487–503. https://doi.org/10.1108/OHI-08-2022-0207.
   Web of Science ®Google Scholar
• Salov, A., and E. Semerikova. 2023. “Transportation and Urban Spatial Structure: Evidence from Paris.” Environment and Planning B: Urban Analytics and City Science, https://doi.org/10.1177/23998083231202551.
   PubMedGoogle Scholar
• Saxe, S., and P. Guthrie. 2020. “The net Greenhouse gas Impact of the Jubilee Line Extension in London, UK.” Proceedings of the Institution of Civil Engineers - Engineering Sustainability 173 (4): 184–195. https://doi.org/10.1680/jensu.19.00006.
   Web of Science ®Google Scholar
• Saxe, S., E. Miller, and P. Guthrie. 2017. “The net Greenhouse gas Impact of the Sheppard Subway Line.” Transportation Research Part D: Transport and Environment 51: 261–275. https://doi.org/10.1016/j.trd.2017.01.007.
   Web of Science ®Google Scholar
• Schumpeter, Joseph A. 1946. “John Maynard Keynes 1883-1946.” The American Economic Review 36 (4): 495–518.
   Web of Science ®Google Scholar
• Shen, Q., P. Chen, and H. X. Pan. 2016. “Factors Affecting car Ownership and Mode Choice in Rail Transit-Supported Suburbs of a Large Chinese City.” Transportation Research Part A: Policy and Practice 94: 31–44. https://doi.org/10.1016/j.tra.2016.08.027.
   Web of Science ®Google Scholar
• Shen, Ping, Linxin Ouyang, Chong Wang, Yin Shi, and Yiheng Su. 2020a. “Cluster and Characteristic Analysis of Shanghai Metro Stations Based on Metro Card and Land-use Data.” Geo-Spatial Information Science 23 (4): 352–361. https://doi.org/10.1080/10095020.2020.1846463.
   Web of Science ®Google Scholar
• Shen, P., L. X. Ouyang, C. Wang, Y. Shi, and Y. H. Su. 2020b. “Cluster and Characteristic Analysis of Shanghai Metro Stations Based on Metro Card and Land-use Data.” Geo-Spatial Information Science 23 (4): 352–361. https://doi.org/10.1080/10095020.2020.1846463.
   Web of Science ®Google Scholar
• Shi, S. W. 2015. “Study on Land Development Strategy for Inter-City Railway Transport Hub.” Paper Presented at the Conference on Urban Planning and Architectural Design for Sustainable Development (UPADSD), Lecce, ITALY, Oct 14-16.
   Google Scholar
• Shi, D. H., and M. C. Fu. 2022. “How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway.” Land 11 (10): 1729. https://doi.org/10.3390/land11101729.
   Web of Science ®Google Scholar
• Shinbein, P. J., and J. L. Adler. 1995. “Land-Use and Rail Transit.” Transportation Quarterly 49 (3): 83–92.
   Google Scholar
• Sim, Vdr, and P. Calthorpe. 1986. Sustainable Communities: A New Design Synthesis for Cities, Suburbs, and Towns: Sustainable Communities: A New Design Synthesis for Cities, Suburbs, and Towns.
   Google Scholar
• Singh, Yamini Jain, Azhari Lukman, Johannes Flacke, Mark Zuidgeest, and M. F. A. M. Van Maarseveen. 2017. “Measuring TOD Around Transit Nodes - Towards TOD Policy.” Transport Policy 56: 96–111. https://doi.org/10.1016/j.tranpol.2017.03.013.
   Web of Science ®Google Scholar
• Soltani, A., N. Zali, H. Aghajani, F. Hashemzadeh, A. Rahimi, and M. Heydari. 2024. “The Nexus Between Transportation Infrastructure and Housing Prices in Metropolitan Regions.” Journal of Housing and the Built Environment, https://doi.org/10.1007/s10901-023-10085-3.
   Web of Science ®Google Scholar
• Someya, K., M. Saito, and R. Kiyohara. 2019. “Estimation Method of Traffic Volume in Provincial City Using Big-Data.” Paper Presented at the 43rd IEEE-Computer-Society Annual International Computers, Software and Applications Conference (COMPSAC), Milwaukee, WI: Marquette Univ, Jul 15-19.
   Google Scholar
• Song, J. H., A. Abuduwayiti, and Z. H. Gou. 2023. “The Role of Subway Network in Urban Spatial Structure Optimization - Wuhan City as an Example.” Tunnelling and Underground Space Technology 131: 104842. https://doi.org/10.1016/j.tust.2022.104842.
   Web of Science ®Google Scholar
• Srinivasan, S. 2002. “Quantifying Spatial Characteristics of Cities.” Urban Studies 39 (11): 2005–2028. https://doi.org/10.1080/0042098022000011335.
   Web of Science ®Google Scholar
• Stone, B., A. C. Mednick, T. Holloway, and S. N. Spak. 2007. “Is Compact Growth Good for air Quality?” Journal of the American Planning Association 73 (4): 404–418. https://doi.org/10.1080/01944360708978521.
   Web of Science ®Google Scholar
• Stutsman, J. M., and Trb. 2002. “Bus Rapid Transit or Light, Rail Transit - How to Decide? Los Angeles Case Study.” In Transit: Intermodal Facilities, Rail Transit, Commuter Rail, Light Rail Transit, Maintenance, and Ferry Transportation: Public Transit, 55–61. Washington: Transportation Research Board Natl Research Council.
   Google Scholar
• Su, S. L., Z. L. Wang, B. Z. Li, and M. J. Kang. 2022. “Deciphering the Influence of TOD on Metro Ridership: An Integrated Approach of Extended Node-Place Model and Interpretable Machine Learning with Planning Implications.” Journal of Transport Geography 104: 103455. https://doi.org/10.1016/j.jtrangeo.2022.103455.
   Web of Science ®Google Scholar
• Su, S. L., H. Zhang, M. Wang, M. Weng, and M. J. Kang. 2021. “Transit-oriented Development (TOD) Typologies Around Metro Station Areas in Urban China: A Comparative Analysis of Five Typical Megacities for Planning Implications.” Journal of Transport Geography 90: 102939. https://doi.org/10.1016/j.jtrangeo.2020.102939.
   Web of Science ®Google Scholar
• Sugimoto, K., K. Ota, and S. Suzuki. 2019. “Visitor Mobility and Spatial Structure in a Local Urban Tourism Destination: Gps Tracking and Network Analysis.” Sustainability 11 (3): 919. https://doi.org/10.3390/su11030919.
   Web of Science ®Google Scholar
• Tang, S., and H. K. Lo. 2008. “The Impact of Public Transport Policy on the Viability and Sustainability of Mass Railway Transit - The Hong Kong Experience.” Transportation Research Part A: Policy and Practice 42 (4): 563–576. https://doi.org/10.1016/j.tra.2008.01.022.
   Web of Science ®Google Scholar
• Tang, L. Y., Y. Zhao, J. Cabrera, J. Ma, and K. L. Tsui. 2019. “Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen Metro.” Ieee Transactions on Intelligent Transportation Systems 20 (10): 3613–3622. https://doi.org/10.1109/TITS.2018.2879497.
   Web of Science ®Google Scholar
• Tang, L. Y., Y. Zhao, K. L. Tsui, Y. X. He, and L. W. Pan. 2020. “A Clustering Refinement Approach for Revealing Urban Spatial Structure from Smart Card Data.” Applied Sciences 10 (16): 5606. https://doi.org/10.3390/app10165606.
   Google Scholar
• Teng, Z. Y., and C. Wang. 2018. “Research and Analysis of Passenger Flow Constraints in Urban Rail Transit.” Paper Presented at the International Symposium on Social Science and Management Innovation (SSMI), Xian, PEOPLES R CHINA, Dec 15-16.
   Google Scholar
• Thisse, Jacques-Francois, and Xavier Vives. 1988. “On the Strategic Choice of Spatial Price Policy.” The American Economic Review:122-137.
   Google Scholar
• Tosa, C., H. Sato, T. Morikawa, and T. Miwa. 2018. “Commuting Behavior in Emerging Urban Areas: Findings of a Revealed-Preferences and Stated-Intentions Survey in Cluj-Napoca, Romania.” Journal of Transport Geography 68: 78–93. https://doi.org/10.1016/j.jtrangeo.2018.02.011.
   Web of Science ®Google Scholar
• Tu, W., T. T. Zhu, C. Zhong, X. H. Zhang, Y. Xu, and Q. Q. Li. 2022. “Exploring Metro Vibrancy and its Relationship with Built Environment: A Cross-City Comparison Using Multi-Source Urban Data.” Geo-Spatial Information Science 25 (2): 182–196. https://doi.org/10.1080/10095020.2021.1996212.
   Web of Science ®Google Scholar
• Tzouvadakis, J. 1992. “Commercial Uses of Land Around Urban Railway Stations in Greece.” Journal of Urban Planning and Development 118 (4): 119–127. https://doi.org/10.1061/(ASCE)0733-9488(1992)118:4(119).
   Web of Science ®Google Scholar
• Vale, D. S., C. M. Viana, and M. Pereira. 2018. “The Extended Node-Place Model at the Local Scale: Evaluating the Integration of Land use and Transport for Lisbon's Subway Network.” Journal of Transport Geography 69: 282–293. https://doi.org/10.1016/j.jtrangeo.2018.05.004.
   Web of Science ®Google Scholar
• Veka, Clay H. 2007. Seattle’s Street Railway System and the Urban Form: Lessons from the Madison Street Cable Car. URBDP 565. American Urban History.
   Google Scholar
• Vergel-Tovar, C. E., and D. A. Rodriguez. 2018. “The Ridership Performance of the Built Environment for BRT Systems: Evidence from Latin America.” Journal of Transport Geography 73: 172–184. https://doi.org/10.1016/j.jtrangeo.2018.06.018.
   Web of Science ®Google Scholar
• Vermote, L., C. Macharis, J. Hollevoet, and K. Putman. 2014. “Participatory Evaluation of Regional Light Rail Scenarios: A Flemish Case on Sustainable Mobility and Land-use.” Environmental Science & Policy 37: 101–120. https://doi.org/10.1016/j.envsci.2013.08.013.
   Web of Science ®Google Scholar
• Vichiensan, V., V. Wasuntarasook, Y. Hayashi, M. Kii, and T. Prakayaphun. 2022. “Urban Rail Transit in Bangkok: Chronological Development Review and Impact on Residential Property Value.” Sustainability 14 (1): 284. https://doi.org/10.3390/su14010284.
   Web of Science ®Google Scholar
• Von Thünen, Johann Heinrich. 1842. Der Isolirte Staat in Beziehung auf Landwirthschaft und Nationalökonomie: Untersuchungen über den Einfluß, den die Getreidepreise, der Reichthum des Bodens und die Abgaben auf den Ackerbau Ausüben. Vol. 1: Leopold.
   Google Scholar
• Wan, T. Y., W. Lu, and P. J. Sun. 2023. “Equity Impacts of the Built Environment in Urban Rail Transit Station Areas from a Transit-Oriented Development Perspective: A Systematic Review.” Environmental Research Communications 5 (9): 092001. https://doi.org/10.1088/2515-7620/acf8b2.
   Google Scholar
• Wang, Z., X. Y. Cai, and Ieee. 2019. “Research on Passenger Flow Prediction of Beijing Subway Based on Spatiotemporal Correlation Analysis.” Paper Presented at the 4th IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), Chengdu, PEOPLES R CHINA, Apr 12-15.
   Google Scholar
• Wang, J. F., Y. J. Feng, Z. Ye, X. H. Tong, R. Wang, C. Gao, S. R. Chen, Z. K. Lei, S. Liu, and Y. M. Jin. 2022. “Simulating the Effect of Urban Light Rail Transit on Urban Development by Coupling Cellular Automata and Conjugate Gradients.” Geocarto International 37 (8): 2346–2364. https://doi.org/10.1080/10106049.2020.1810329.
   Web of Science ®Google Scholar
• Wang, Z. Y., Y. X. Hu, P. Zhu, Y. Qin, and L. M. Jia. 2018. “Ring Aggregation Pattern of Metro Passenger Trips: A Study Using Smart Card Data.” Physica A: Statistical Mechanics and its Applications 491: 471–479. https://doi.org/10.1016/j.physa.2017.08.105.
   Web of Science ®Google Scholar
• Wang, Y. J., L. M. Jia, Y. Qin, Ieee. 2003a. “Application of Entity Automata to Railway Transportation System Modeling and Simulation.” Paper Presented at the 6th IEEE International Conference on Intelligent Transportation Systems, Shanghai, Peoples R China, Oct 12-15.
   Google Scholar
• Wang, Y. J., L. M. Jia, and Y. Qin. 2003b. “Research on Modeling and Simulation for Railway Transportation System.” Paper Presented at the 5th Conference of the Eastern-Asia-Society-for-Transportation-Studies, Fukuoka, JAPAN, Oct 29-Nov 01.
   Google Scholar
• Wang, H., M. P. Kwan, and M. X. Hu. 2020a. “Usage of Urban Space and Sociospatial Differentiation of Income Groups: A Case Study of Nanjing, China.” Tijdschrift Voor Economische En Sociale Geografie 111 (4): 616–633. https://doi.org/10.1111/tesg.12399.
   Web of Science ®Google Scholar
• Wang, Z. J., J. Q. Li, L. P. Huang, and Z. G. Yang. 2020b. “Discovering the Evolution of Beijing Rail Network in Fifty Years.” Modern Physics Letters B 34 (21): 2050212. https://doi.org/10.1142/s0217984920502127.
   Web of Science ®Google Scholar
• Weber, Alfred, and Carl Joachim Friedrich. 1929. Alfred Weber's Theory of the Location of Industries. University of Chicago Press.
   Google Scholar
• Wells, S. S., and B. G. Hutchinson. 1996. “Impact of Commuter-Rail Services in Toronto Region.” Journal of Transportation Engineering 122 (4): 270–275. https://doi.org/10.1061/(ASCE)0733-947X(1996)122:4(270).
   Google Scholar
• Wingo Jr, Lowdon. 2016. Transportation and urban land. Routledge.
   Google Scholar
• Woo, J. H. 2021. “Classification of TOD Typologies Based on Pedestrian Behavior for Sustainable and Active Urban Growth in Seoul.” Sustainability 13 (6): 3047. https://doi.org/10.3390/su13063047.
   Web of Science ®Google Scholar
• Wu, T., and M. J. Li. 2022. “International Research Progress and Trend of Transit-Oriented Development: An Analysis of Knowledge Mapping Based on Cite Space.” Frontiers in Environmental Science 10: 10. https://doi.org/10.3389/fenvs.2022.937340.
   Web of Science ®Google Scholar
• Wu, W. J., S. Q. Zheng, B. Wang, and M. Z. Du. 2020. “Impacts of Rail Transit Access on Land and Housing Values in China: A Quantitative Synthesis.” Transport Reviews 40 (5): 629–645. https://doi.org/10.1080/01441647.2020.1747570.
   Web of Science ®Google Scholar
• Wyczalkowski, Christopher K. 2017. Evaluation of the Effect of Rail Intra-Urban Transit Stations on Neighborhood Change. Georgia State University.
   Google Scholar
• Xia, X. X., H. C. Li, X. J. Kuang, and J. Strauss. 2022a. “Spatial–Temporal Features of Coordination Relationship Between Regional Urbanization and Rail Transit—A Case Study of Beijing.” International Journal of Environmental Research and Public Health 19 (1): 212. https://doi.org/10.3390/ijerph19010212.
   Web of Science ®Google Scholar
• Xia, H. S., Z. S. Liu, M. Efremochkina, X. T. Liu, and C. X. Lin. 2022b. “Study on City Digital Twin Technologies for Sustainable Smart City Design: A Review and Bibliometric Analysis of Geographic Information System and Building Information Modeling Integration.” Sustainable Cities and Society 84: 104009. https://doi.org/10.1016/j.scs.2022.104009.
   Web of Science ®Google Scholar
• Xing-lei, Guo, Zhang Qian, Yin Zhen-lei, Li Zhong-hui, and Shao Chang-zheng. 2023. “Research on the Impact of China’s Urban Rail Transit on Economic Growth: Based on PSM-DID Model.” Frontiers in Environmental Science 11), https://doi.org/10.3389/fenvs.2023.1082567.
   Web of Science ®Google Scholar
• Xu, Yajie, and Xiangsheng Chen. 2021. “Quantitative Analysis of Spatial Vitality and Spatial Characteristics of Urban Underground Space (UUS) in Metro Area.” Tunnelling and Underground Space Technology 111), https://doi.org/10.1016/j.tust.2021.103875.
   Web of Science ®Google Scholar
• Xu, W. T., A. Guthrie, Y. L. Fan, and Y. L. Li. 2017. “Transit-oriented Development: Literature Review and Evaluation of TOD Potential Across 50 Chinese Cities.” Journal of Transport and Land Use 10 (1): 743–762. https://doi.org/10.5198/jtlu.2017.922.
   Web of Science ®Google Scholar
• Xue, G., D. Q. Gong, J. H. Zhang, P. Zhang, and Q. M. Tai. 2020. “Passenger Travel Patterns and Behavior Analysis of Long-Term Staying in Subway System by Massive Smart Card Data.” Energies 13 (10): 2670. https://doi.org/10.3390/en13102670.
   Web of Science ®Google Scholar
• Yang, L. C., Y. Chen, N. L. Xu, R. Zhao, K. W. Chau, and S. J. Hong. 2020a. “Place-varying Impacts of Urban Rail Transit on Property Prices in Shenzhen, China: Insights for Value Capture.” Sustainable Cities and Society 58: 102140. https://doi.org/10.1016/j.scs.2020.102140.
   Web of Science ®Google Scholar
• Yang, L. C., Y. Liang, B. J. He, Y. Lu, and Z. H. Gou. 2022. “COVID-19 Effects on Property Markets: The Pandemic Decreases the Implicit Price of Metro Accessibility.” Tunnelling and Underground Space Technology 125: 104528. https://doi.org/10.1016/j.tust.2022.104528.
   Web of Science ®Google Scholar
• Yang, J., F. Shi, Y. Z. Sun, and J. Zhu. 2019. “A Cellular Automata Model Constrained by Spatiotemporal Heterogeneity of the Urban Development Strategy for Simulating Land-use Change: A Case Study in Nanjing City, China.” Sustainability 11 (15): 4012. https://doi.org/10.3390/su11154012.
   Web of Science ®Google Scholar
• Yang, L. C., B. J. Yu, Y. Liang, Y. Lu, and W. X. Li. 2023. “Time-varying and non-Linear Associations Between Metro Ridership and the Built Environment.” Tunnelling and Underground Space Technology 132: 104931. https://doi.org/10.1016/j.tust.2022.104931.
   Web of Science ®Google Scholar
• Yang, J. W., L. L. Zhu, Y. Duan, J. P. Zhou, and H. X. Ma. 2020b. “Developing Metro-Based Accessibility: Three Aspects of China’s Rail+Property Practice.” Transportation Research Part D: Transport and Environment 81: 102288. https://doi.org/10.1016/j.trd.2020.102288.
   Web of Science ®Google Scholar
• Yi, P. Y., F. H. Huang, J. C. Wang, and J. Peng. 2023. “Topology Augmented Dynamic Spatial-Temporal Network for Passenger Flow Forecasting in Urban Rail Transit.” Applied Intelligence 53 (21): 24655–24670. https://doi.org/10.1007/s10489-023-04651-z.
   Web of Science ®Google Scholar
• Zahabi, S. A. H., L. F. Miranda-Moreno, Z. Patterson, and P. Barla. 2013. “Urban Transportation Greenhouse Gas Emissions and Their Link with Urban Form, Transit Accessibility, and Emerging Green Technologies.” Transportation Research Record: Journal of the Transportation Research Board 2375: 45–54. https://doi.org/10.3141/2375-06.
   Google Scholar
• Zhai, D. Q., and IEEE. 2020. “Study on the Differentiation Characteristics and Influence of Retail Commercial Space around Urban Rail Transit Stations.” Paper presented at the 5th IEEE International Conference on Big Data Analytics (ICBDA), Xiamen, PEOPLES R CHINA, May 08-11.
   Google Scholar
• Zhang, Dongfang, and Jingjuan Jiao. 2019. “How Does Urban Rail Transit Influence Residential Property Values? Evidence from An Emerging Chinese Megacity.” Sustainability 11 (2), https://doi.org/10.3390/su11020534.
   Web of Science ®Google Scholar
• Zhang, Y. W., J. Li, and Y. Yu. 2013. “A Framework for the Study of integrated design of rail transit and urban public space.” Paper presented at the 3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013), Jinan, PEOPLES R CHINA, May 24-26.
   Google Scholar
• Zhang, Z., C. Wang, Y. R. Gao, J. W. Chen, and Y. W. Zhang. 2020. “Short-Term Passenger Flow Forecast of Rail Transit Station Based on MIC Feature Selection and ST-LightGBM Considering Transfer Passenger Flow.” Scientific Programming 2020: 15. https://doi.org/10.1155/2020/3180628.
   Web of Science ®Google Scholar
• Zhangzhi, Tan, Li Shaoying, Li Xia, Liu Xiaoping, Chen Yimin, and Li Weixian. 2017. “Spatio-temporal Effect of Urban Rail Transit on Land use Change.” Journal of Geography 72 (5): 850–862. https://doi.org/10.11821/dlxb201705007.
   Google Scholar
• Zhao, J. J., Q. Qu, F. Zhang, C. Z. Xu, and S. Y. Liu. 2017. “Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data.” Ieee Transactions on Intelligent Transportation Systems 18 (11): 3135–3146. https://doi.org/10.1109/TITS.2017.2679179.
   Web of Science ®Google Scholar
• Zhao, L. Y., and L. Shen. 2019. “The Impacts of Rail Transit on Future Urban Land use Development: A Case Study in Wuhan, China.” Transport Policy 81: 396–405. https://doi.org/10.1016/j.tranpol.2018.05.004.
   Web of Science ®Google Scholar
• Zheng, H., B. H. He, M. W. He, and J. H. Guo. 2022. “Impact of Urban Spatial Transformation on the Mobility of Commuters with Different Transportation Modes in China: Evidence from Kunming 2011-2016.” Sustainability 14 (13): 7672. https://doi.org/10.3390/su14137672.
   Web of Science ®Google Scholar
• Zheng, S. Q., and M. E. Kahn. 2013. “Does Government Investment in Local Public Goods Spur Gentrification? Evidence from Beijing.” Real Estate Economics 41 (1): 1–28. https://doi.org/10.1111/j.1540-6229.2012.00339.x.
   Web of Science ®Google Scholar
• Zhou, Y., C. Y. Qian, H. Xiao, J. C. Xin, Z. X. Wei, and Q. Feng. 2019. “Coupling Research on Land Use and Travel Behaviors Along the Tram Based on Accessibility Measurement—Taking Nanjing Chilin Tram Line 1 as an Example.” Sustainability 11 (7): 2034. https://doi.org/10.3390/su11072034.
   Web of Science ®Google Scholar
• Zhou, Y. C., Y. H. Tian, C. Y. Jim, X. Liu, J. Y. Luan, and M. X. Yan. 2022. “Effects of Public Transport Accessibility and Property Attributes on Housing Prices in Polycentric Beijing.” Sustainability 14 (22): 14743. https://doi.org/10.3390/su142214743.
   Web of Science ®Google Scholar
• Zhu, Chang Hong. 2009. “The Resesrch and Development of Beijing Subway Station.”.
   Google Scholar
• Zhuang, X. Y., L. Zhang, and J. Lu. 2022. “Past—Present—Future: Urban Spatial Succession and Transition of Rail Transit Station Zones in Japan.” International Journal of Environmental Research and Public Health 19 (20): 13633. https://doi.org/10.3390/ijerph192013633.
   PubMed Web of Science ®Google Scholar
• Zou, X. L., R. H. Xu, and P. Gao. 2008. “Hierarchical Structure of the Mass and Group-Level Behaviors in Urban Rail Transfer Stations.” Paper presented at the International Conference on Pedestrian and Evacuation Dynamics, Wuppertal Univ, Wuppertal, GERMANY, Feb 27-29.
   Google Scholar