References
- Alonso, W. 1964. Location and Land Use. Toward a General Theory of Land Rent. Cambridge: Harvard University Press.
- Armstrong, R. J., and D. A. Rodriguez. 2006. “An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts Using Spatial Hedonic Price Functions.” Transportation 33 (1): 21–43. doi:https://doi.org/10.1007/s11116-005-0949-x.
- Aveline-Dubach, N., and G. Blandeau. 2019. “The Political Economy of Transit Value Capture: The Changing Business Model of the MTRC in Hong Kong.” Urban Studies 56 (16): 3415–3431. doi:https://doi.org/10.1177/0042098018821519.
- Baldominos, A., I. Blanco, A. J. Moreno, R. Iturrarte, Ó. Bernárdez, and C. Afonso. 2018. “Identifying Real Estate Opportunities Using Machine Learning.” Applied Sciences 8 (11): 2321. doi:https://doi.org/10.3390/app8112321.
- Bao, Z., and W. Lu. 2020. “Developing Efficient Circularity for Construction and Demolition Waste Management in Fast Emerging Economies: Lessons Learned from Shenzhen, China.” Science of the Total Environment 724: 138264. doi:https://doi.org/10.1016/j.scitotenv.2020.138264.
- Bao, Z., W. Lu, B. Chi, H. Yuan, and J. Hao. 2019. “Procurement Innovation for a Circular Economy of Construction and Demolition Waste: Lessons Learnt from Suzhou, China.” Waste Management 99: 12–21. doi:https://doi.org/10.1016/j.wasman.2019.08.031.
- Bocarejo, J. P., I. Portilla, and M. A. Pérez. 2013. “Impact of TransMilenio on Density, Land Use, and Land Value in Bogotá.” Research in Transportation Economics 40 (1): 78–86. doi:https://doi.org/10.1016/j.retrec.2012.06.030.
- Bowes, D. R., and K. R. Ihlanfeldt. 2001. “Identifying the Impacts of Rail Transit Stations on Residential Property Values.” Journal of Urban Economics 50 (1): 1–25. doi:https://doi.org/10.1006/juec.2001.2214.
- Breiman, L., J. Friedman, C. J. Stone, and R. A. Olshen. 1984. Classification and Regression Trees. Wadsworth international group, Belmont, CA, U.S.A..
- BRTDATA.ORG 2020. Accessed 10 January 2021. http://brtdata.org
- Butler, R. V. 1982. “The Specification of Hedonic Indexes for Urban Housing.” Land Economics 58 (1): 96–108. doi:https://doi.org/10.2307/3146079.
- Cao, X., and S. Lou. 2018. “When and How Much Did the Green Line LRT Increase Single-family Housing Values in St. Paul, Minnesota?” Journal of Planning Education and Research 38 (4): 427–436. doi:https://doi.org/10.1177/0739456X17707811.
- Case, B., H. O. Pollakowski, and S. M. Wachter. 1991. “On Choosing among House Price Index Methodologies.” Real Estate Economics 19 (3): 286–307. doi:https://doi.org/10.1111/1540-6229.00554.
- Cervero, R., and C. D. Kang. 2011. “Bus Rapid Transit Impacts on Land Uses and Land Values in Seoul, Korea.” Transport Policy 18 (1): 102–116. doi:https://doi.org/10.1016/j.tranpol.2010.06.005.
- Cervero, R., & Duncan, M. (2002). Benefits of proximity to rail on housing markets: Experiences in Santa Clara County. Journal of Public Transportation, 5(1), 3.
- 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. doi:https://doi.org/10.1016/S1361-9209(97)00009-6.
- Chau, K. W., and F. F. Ng. 1998. “The Effects of Improvement in Public Transportation Capacity on Residential Price Gradient in Hong Kong.” Journal of Property Valuation and Investment 16 (4): 397–410. doi:https://doi.org/10.1108/14635789810228204.
- Chen, M., A. Voinov, D. P. Ames, A. J. Kettner, J. L. Goodall, A. J. Jakeman, … G. Lü. 2020. “Position Paper: Open Web-distributed Integrated Geographic Modelling and Simulation to Enable Broader Participation and Applications.” Earth-Science Reviews 207: 103223. doi:https://doi.org/10.1016/j.earscirev.2020.103223.
- Deng, T., M. Ma, and J. D. Nelson. 2016. “Measuring the Impacts of Bus Rapid Transit on Residential Property Values: The Beijing Case.” Research in Transportation Economics 60: 54–61. doi:https://doi.org/10.1016/j.retrec.2016.08.005.
- Ding, C., X. Wu, G. Yu, and Y. Wang. 2016. “A Gradient Boosting Logit Model to Investigate Driver’s Stop-or-run Behavior at Signalized Intersections Using High-resolution Traffic Data.” Transportation Research Part C: Emerging Technologies 72: 225–238. doi:https://doi.org/10.1016/j.trc.2016.09.016.
- Ding, C., X. J. Cao, and P. Næss. 2018. “Applying Gradient Boosting Decision Trees to Examine Non-linear Effects of the Built Environment on Driving Distance in Oslo.” Transportation Research Part A: Policy and Practice 110: 107–117.
- Dong, N., F. Meng, J. Zhang, S. C. Wong, and P. Xu. 2020. “Towards Activity-based Exposure Measures in Spatial Analysis of Pedestrian–motor Vehicle Crashes.” Accident Analysis & Prevention 148: 105777. doi:https://doi.org/10.1016/j.aap.2020.105777.
- Dubé, J., F. Des Rosiers, M. Thériault, and P. Dib. 2011. “Economic Impact of A Supply Change in Mass Transit in Urban Areas: A Canadian Example.” Transportation Research Part A: Policy and Practice 45 (1): 46–62.
- Eisman, E., J. Gebelein, and T. A. Breslin. 2017. “Developing a Geographically Weighted Complex Systems Model Using Open-source Data to Highlight Locations Vulnerable to Becoming Terrorist Safe-havens.” Annals of GIS 23 (4): 251–267. doi:https://doi.org/10.1080/19475683.2017.1368705.
- Friedman, J. H. 2001. “Greedy Function Approximation: A Gradient Boosting Machine.” Annals of Statistics 29 (5): 1189–1232.
- Gao, S., M. Li, Y. Liang, J. Marks, Y. Kang, and M. Li. 2019. “Predicting the Spatiotemporal Legality of On-street Parking Using Open Data and Machine Learning.” Annals of GIS 25 (4): 299–312.. doi:https://doi.org/10.1080/19475683.2019.1679882.
- Hausler, J., J. Ruscheinsky, and M. Lang. 2018. “News-based Sentiment Analysis in Real Estate: A Machine Learning Approach.” Journal of Property Research 35 (4): 344–371. doi:https://doi.org/10.1080/09599916.2018.1551923.
- Hess, D. B., and T. M. Almeida. 2007. “Impact of Proximity to Light Rail Rapid Transit on Station-area Property Values in Buffalo, New York.” Urban Studies 44 (5–6): 1041–1068. doi:https://doi.org/10.1080/00420980701256005.
- Hu, L., S. He, Z. Han, H. Xiao, S. Su, M. Weng, and Z. Cai. 2019. “Monitoring Housing Rental Prices Based on Social Media: An Integrated Approach of Machine-learning Algorithms and Hedonic Modeling to Inform Equitable Housing Policies.” Land Use Policy 82: 657–673. doi:https://doi.org/10.1016/j.landusepol.2018.12.030.
- Kilpatrick, J., R. Throupe, J. Carruthers, and A. Krause. 2007. “The Impact of Transit Corridors on Residential Property Values.” Journal of Real Estate Research 29 (3): 303–320. doi:https://doi.org/10.1080/10835547.2007.12091201.
- Lancaster, K. J. 1966. “A New Approach to Consumer Theory.” Journal of Political Economy 74 (2): 132–157. doi:https://doi.org/10.1086/259131.
- Li, W., J. Zhu, L. Fu, Q. Zhu, Y. Guo, and Y. Gong. 2021. “A Rapid 3D Reproduction System of Dam-break Floods Constrained by Post-disaster Information.” Environmental Modelling & Software 139: 104994. doi:https://doi.org/10.1016/j.envsoft.2021.104994.
- Li, W., J. Zhu, L. Fu, Q. Zhu, Y. Xie, and Y. Hu. 2020. “An Augmented Representation Method of Debris Flow Scenes to Improve Public Perception.” International Journal of Geographical Information Science 1–24. doi:https://doi.org/10.1080/13658816.2020.1833016.
- Mathur, S. 2020. “Impact of Transit Stations on House Prices across Entire Price Spectrum: A Quantile Regression Approach.” Land Use Policy 99: 104828. doi:https://doi.org/10.1016/j.landusepol.2020.104828.
- Meng, F., P. Xu, C. Song, K. Gao, Z. Zhou, and L. Yang. 2020. “Influential Factors Associated with Consecutive Crash Severity: A Two-level Logistic Modeling Approach.” International Journal of Environmental Research and Public Health 17 (15): 5623. doi:https://doi.org/10.3390/ijerph17155623.
- Mills, E. S. 1967. “An Aggregative Model of Resource Allocation in a Metropolitan Area.” The American Economic Review 57 (2): 197–210.
- Mulley, C., and C.-H. Tsai. 2016. “When and How Much Does New Transport Infrastructure Add to Property Values? Evidence from the Bus Rapid Transit System in Sydney, Australia.” Transport Policy 51: 15–23. doi:https://doi.org/10.1016/j.tranpol.2016.01.011.
- Mulley, C., and C.-H. Tsai. 2017. “Impact of Bus Rapid Transit on Housing Price and Accessibility Changes in Sydney: A Repeat Sales Approach.” International Journal of Sustainable Transportation 11 (1): 3–10. doi:https://doi.org/10.1080/15568318.2015.1106223.
- Munoz-Raskin, R. 2010. “Walking Accessibility to Bus Rapid Transit: Does It Affect Property Values? The Case of Bogotá, Colombia.” Transport Policy 17 (2): 72–84. doi:https://doi.org/10.1016/j.tranpol.2009.11.002.
- Muth, R. F. 1969. Cities and Housing: The Spatial Pattern of Urban Residential Land Use. Chicago: Third Series: Studies in Business and Society, University of Chicago Press.
- Nelson, A. C. 1992. “Effects of Elevated Heavy-rail Transit Stations on House Prices with respect to Neighborhood Income.” Transportation Research Record (1359). 127-132.
- Olaru, D., B. Smith, and J. H. Taplin. 2011. “Residential Location and Transit-oriented Development in a New Rail Corridor.” Transportation Research Part A: Policy and Practice 45 (3): 219–237.
- Olszewski, K., J. Waszczuk, and M. Widłak. 2017. “Spatial and Hedonic Analysis of House Price Dynamics in Warsaw, Poland.” Journal of Urban Planning and Development 143 (3): 04017009. doi:https://doi.org/10.1061/(ASCE)UP.1943-5444.0000394.
- Páez, A., D. M. Scott, and C. Morency. 2012. “Measuring Accessibility: Positive and Normative Implementations of Various Accessibility Indicators.” Journal of Transport Geography 25: 141–153. doi:https://doi.org/10.1016/j.jtrangeo.2012.03.016.
- Pang, H., and J. Jiao. 2015. “Impacts of Beijing Bus Rapid Transit on Pre-owned Home Values.” Journal of Public Transportation 18 (2): 34–44. doi:https://doi.org/10.5038/2375-0901.18.2.3.
- Park, B., and J. K. Bae. 2015. “Using Machine Learning Algorithms for Housing Price Prediction: The Case of Fairfax County, Virginia Housing Data.” Expert Systems with Applications 42 (6): 2928–2934. doi:https://doi.org/10.1016/j.eswa.2014.11.040.
- People.cn. 2019. http://fj.people.com.cn/n2/2019/0227/c181466-32689216.html
- Perdomo, J. A. 2011. “A Methodological Proposal to Estimate Changes of Residential Property Value: Case Study Developed in Bogota.” Applied Economics Letters 18 (16): 1577–1581. doi:https://doi.org/10.1080/13504851.2011.554360.
- Perdomo-Calvo, J. A., C. A. Mendoza, A. F. Baquero-Ruiz, and J. C. Mendieta-Lopez 2007. “Study of the Effect of the TransMilenio Mass Transit Project on the Value of Properties in Bogotá, Colombia.” Lincoln Institute of Land Policy Working Paper No. WP07CA1.
- Perk, V. A., and M. Catala 2009. Land use impacts of bus rapid transit: Effects of BRT station proximity on property values along the Pittsburgh Martin Luther King, Jr. East Busway. No. FTA-FL-26-7109.2009.6.
- Rafiei, M. H., and H. Adeli. 2016. “A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units.” Journal of Construction Engineering and Management 142 (2): 04015066. doi:https://doi.org/10.1061/(ASCE)CO.1943-7862.0001047.
- Rodríguez, D. A., and C. H. Mojica. 2009. “Capitalization of BRT Network Expansions Effects into Prices of Non-expansion Areas.” Transportation Research Part A: Policy and Practice 43 (5): 560–571.
- Rodríguez, D. A., and F. Targa. 2004. “Value of Accessibility to Bogotá’s Bus Rapid Transit System.” Transport Reviews 24 (5): 587–610. doi:https://doi.org/10.1080/0144164042000195081.
- Rosen, S. 1974. “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition.” Journal of Political Economy 82 (1): 34–55. doi:https://doi.org/10.1086/260169.
- Salon, D., J. Wu, and S. Shewmake. 2014. “Impact of Bus Rapid Transit and Metro Rail on Property Values in Guangzhou, China.” Transportation Research Record 2452 (1): 36–45. doi:https://doi.org/10.3141/2452-05.
- Sharma, R., and P. Newman. 2018. “Does Urban Rail Increase Land Value in Emerging Cities? Value Uplift from Bangalore Metro.” Transportation Research Part A: Policy and Practice 117: 70–86.
- Stiglic, M., N. Agatz, M. Savelsbergh, and M. Gradisar. 2018. “Enhancing Urban Mobility: Integrating Ride-sharing and Public Transit.” Computers & Operations Research 90: 12–21. doi:https://doi.org/10.1016/j.cor.2017.08.016.
- Tang, L., Y. Zhao, K. Yin, and J. Zhao. 2013. “Xiamen.” Cities 31: 615–624. doi:https://doi.org/10.1016/j.cities.2012.09.001.
- Viriato, J. C. 2019. “AI and Machine Learning in Real Estate Investment.” The Journal of Portfolio Management 45 (7): 43–54. doi:https://doi.org/10.3905/jpm.2019.45.7.043.
- Xia, C., A. G. O. Yeh, and A. Zhang. 2020. “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. doi:https://doi.org/10.1016/j.landurbplan.2019.103669.
- Xiao, Y., E. C. Hui, and H. Wen. 2019. “Effects of Floor Level and Landscape Proximity on Housing Price: A Hedonic Analysis in Hangzhou, China.” Habitat International 87: 11–26. doi:https://doi.org/10.1016/j.habitatint.2019.03.008.
- Xu, W., A. Guthrie, Y. Fan, and Y. Li. 2017. “Transit-oriented Development in China: Literature Review and Evaluation of TOD Potential across 50 Chinese Cities.” Journal of Transport and Land Use 10 (1): 743–762. doi:https://doi.org/10.5198/jtlu.2017.922.
- Yang, J., J. Cao, and Y. Zhou. 2021. “Elaborating Non-linear Associations and Synergies of Subway Access and Land Uses with Urban Vitality in Shenzhen.” Transportation Research Part A: Policy and Practice 144: 74–88.
- Yang, L., B. Wang, J. Zhou, and X. Wang. 2018. “Walking Accessibility and Property Prices.” Transportation Research Part D: Transport and Environment 62: 551–562. doi:https://doi.org/10.1016/j.trd.2018.04.001.
- Yang, L., K. W. Chau, W. Y. Szeto, X. Cui, and X. Wang. 2020b. “Accessibility to Transit, by Transit, and Property Prices: Spatially Varying Relationships.” Transportation Research Part D: Transport and Environment 85: 102387. doi:https://doi.org/10.1016/j.trd.2020.102387.
- Yang, L., K. W. Chau, and X. Chu. 2019. “Accessibility-based Premiums and Proximity-induced Discounts Stemming from Bus Rapid Transit in China: Empirical Evidence and Policy Implications.” Sustainable Cities and Society 48: 101561. doi:https://doi.org/10.1016/j.scs.2019.101561.
- Yang, L., X. Chu, Z. Gou, H. Yang, Y. Lu, and W. Huang. 2020a. “Accessibility and Proximity Effects of Bus Rapid Transit on Housing Prices: Heterogeneity across Price Quantiles and Space.” Journal of Transport Geography 88: 102850. doi:https://doi.org/10.1016/j.jtrangeo.2020.102850.
- Zahirovic-Herbert, V., and K. M. Gibler. 2020. “Neighbouring House Transaction Response to Assisted Living Facilities and Nursing Homes.” Housing Studies 35 (2): 195–213. doi:https://doi.org/10.1080/02673037.2019.1594714.
- Zhang, M., X. Meng, L. Wang, and T. Xu. 2014. “Transit Development Shaping Urbanization: Evidence from the Housing Market in Beijing.” Habitat International 44: 545–554. doi:https://doi.org/10.1016/j.habitatint.2014.10.012.
- Zhang, X., X. Liu, J. Hang, D. Yao, and G. Shi. 2016. “Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China.” Sustainability 8 (4): 380. doi:https://doi.org/10.3390/su8040380.
- Zhang, Y., and A. Haghani. 2015. “A Gradient Boosting Method to Improve Travel Time Prediction.” Transportation Research Part C: Emerging Technologies 58: 308–324. doi:https://doi.org/10.1016/j.trc.2015.02.019.
- Zhao, Y. 2014. “Land Finance in China: History, Logic and Choice.” Urban Development Studies 21 (1): 1–13.
- Zheng, S., and M. E. Kahn. 2008. “Land and Residential Property Markets in a Booming Economy: New Evidence from Beijing.” Journal of Urban Economics 63 (2): 743–757. doi:https://doi.org/10.1016/j.jue.2007.04.010.