Measuring Crowdedness between Adjacent Stations in an Urban Metro System: a Chinese Case Study
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- Kim, Kyung Min & Hong, Sung-Pil & Ko, Suk-Joon & Kim, Dowon, 2015. "Does crowding affect the path choice of metro passengers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 292-304.
- Donghyung Yook & Kevin Heaslip, 2015. "The effect of crowding on public transit user travel behavior in a large-scale public transportation system through modeling daily variations," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(8), pages 935-953, December.
- Kuby, Michael & Barranda, Anthony & Upchurch, Christopher, 2004. "Factors influencing light-rail station boardings in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 223-247, March.
- Cox, Tom & Houdmont, Jonathan & Griffiths, Amanda, 2006. "Rail passenger crowding, stress, health and safety in Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 244-258, March.
- Kim, Hyunmi & Kwon, Sohee & Wu, Seung Kook & Sohn, Keemin, 2014. "Why do passengers choose a specific car of a metro train during the morning peak hours?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 249-258.
- Daniel (Jian) Sun & Yuhan Zhao & Qing-Chang Lu, 2015. "Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 7(6), pages 1-18, May.
- Liyin Shen & Liudan Jiao & Jingyang Zhou & Weijian Ren, 2014. "Evaluation Indicators for the Efficiency of Metro Systems from a Socio-economic-technical Perspective," Springer Books, in: Donglang Yang & Yanjun Qian (ed.), Proceedings of the 18th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 487-496, Springer.
- Feng Chen & Xiaopeng Shen & Zijia Wang & Yang Yang, 2017. "An Evaluation of the Low-Carbon Effects of Urban Rail Based on Mode Shifts," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
- Mark Wardman & Gerard Whelan, 2011. "Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience," Transport Reviews, Taylor & Francis Journals, vol. 31(3), pages 379-398.
- Tirachini, Alejandro & Sun, Lijun & Erath, Alexander & Chakirov, Artem, 2016. "Valuation of sitting and standing in metro trains using revealed preferences," Transport Policy, Elsevier, vol. 47(C), pages 94-104.
- Li, Linbo & Ren, Huan & Zhao, Shanshan & Duan, Zhengyu & Zhang, Yahua & Zhang, Anming, 2017. "Two dimensional accessibility analysis of metro stations in Xi’an, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 414-426.
- Litman, Todd, 2007. "Evaluating rail transit benefits: A comment," Transport Policy, Elsevier, vol. 14(1), pages 94-97, January.
- Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao & Guangping Shi, 2016. "Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China," Sustainability, MDPI, vol. 8(4), pages 1-14, April.
- Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.
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- Hui Xu & Liudan Jiao & Shulin Chen & Milan Deng & Ningxin Shen, 2018. "An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
- Márquez, Luis & Alfonso A, Julieth V. & Poveda, Juan C., 2019. "In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 452-465.
- Jinyao Lin & Tongli Chen & Qiazi Han, 2018. "Simulating and Predicting the Impacts of Light Rail Transit Systems on Urban Land Use by Using Cellular Automata: A Case Study of Dongguan, China," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
- Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
- Shaoying Li & Xiaoping Liu & Zhigang Li & Zhifeng Wu & Zijun Yan & Yimin Chen & Feng Gao, 2018. "Spatial and Temporal Dynamics of Urban Expansion along the Guangzhou–Foshan Inter-City Rail Transit Corridor, China," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
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Keywords
urban metro stations; crowdedness; evaluation model; China;All these keywords.
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