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Transportation Planning and Technology Volume 38, 2015 - Issue 8
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Articles

The effect of crowding on public transit user travel behavior in a large-scale public transportation system through modeling daily variations

Donghyung YookKorea Research Institute for Human Settlements, Gyeonggi-do431-712, Korea
&
Kevin HeaslipVia Department of Civil & Environmental Engineering, Virginia Tech, Arlington, VA22203, USACorrespondence[email protected]
Pages 935-953 | Received 18 Jun 2014, Accepted 03 Jun 2015, Published online: 18 Nov 2015

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Read on this site (2)

Dilay Çelebi & Şükrü İmre. (2020) Measuring crowding-related comfort in public transport. Transportation Planning and Technology 43:7, pages 735-750.
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Daniel (Jian) Sun, Shukai Chen, Chun Zhang & Suwan Shen. (2016) A bus route evaluation model based on GIS and super-efficient data envelopment analysis. Transportation Planning and Technology 39:4, pages 407-423.
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Articles from other publishers (4)

Prasanta K. Sahu, Gajanand Sharma & Anirban Guharoy. (2018) Commuter travel cost estimation at different levels of crowding in a suburban rail system: a case study of Mumbai. Public Transport 10:3, pages 379-398.
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Bart Neuts & Dominique Vanneste. (2018) Contextual Effects on Crowding Perception: An Analysis of Antwerp and Amsterdam. Tijdschrift voor economische en sociale geografie 109:3, pages 402-419.
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Pengzhan Chen, Xiaoyan Zhang, Xiaoyue Chen & Mengchao Liu. (2018) Path Planning Strategy for Vehicle Navigation Based on User Habits. Applied Sciences 8:3, pages 407.
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Liudan Jiao, Liyin Shen, Chenyang Shuai, Yongtao Tan & Bei He. (2017) Measuring Crowdedness between Adjacent Stations in an Urban Metro System: a Chinese Case Study. Sustainability 9:12, pages 2325.
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