To Topic-Graph

7.552 Topics available

To Map

748 Locations available

230.548 People

PeopleLocationsStatistics
Aksjonov, AndreiEspoo
  • 9
  • 26
  • 47
  • 2022
Wei, Wei
  • 10
  • 50
  • 182
  • 2022
Boussauw, Kobe
  • 8
  • 17
  • 55
  • 2022
Correia, G Homem De Almeida RodriguezDelft
  • 74
  • 203
  • 1k
  • 2022
Liu, YongfengLinköping, Villeurbanne
  • 126
  • 541
  • 2k
  • 2022
Marconi, Edoardo
  • 4
  • 6
  • 6
  • 2022
Šarkan, Branislav
  • 6
  • 15
  • 11
  • 2022
Ruponen, PekkaEspoo
  • 8
  • 21
  • 63
  • 2022
Sorniotti, AldoGuildford
  • 71
  • 295
  • 1k
  • 2022
Orlovska, JuliaGothenburg
  • 3
  • 7
  • 13
  • 2022
Costescu, Dorinela
  • 8
  • 28
  • 13
  • 2022
Bonander, Carl
  • 3
  • 8
  • 27
  • 2022
Kim, Sunghwan
  • 2
  • 6
  • 0
  • 2022
Kluge, M.
  • 13
  • 81
  • 272
  • 2022
Van Vuuren, Detlef PeterBerlin
  • 12
  • 129
  • 1k
  • 2022
Maternini, Giulio
  • 9
  • 32
  • 69
  • 2022
Kouwenhoven, Marco
  • 11
  • 39
  • 288
  • 2022
Zwick, Thomas
  • 51
  • 167
  • 990
  • 2022
Haddad, HediLyon
  • 4
  • 12
  • 10
  • 2022
SHARMA, SANJEEV
  • 1
  • 1
  • 0
  • 2022
Rakhmangulov, Aleksandr Nelevich
  • 6
  • 46
  • 22
  • 2022
Rusca, Aura
  • 5
  • 21
  • 2
  • 2022
Osintsev, Nikita Anatolyevich
  • 6
  • 46
  • 22
  • 2022
Rosca, Mircea Augustin
  • 6
  • 25
  • 15
  • 2022
Yang, BinAalborg
  • 44
  • 247
  • 1k
  • 2022

Yu, S.

in Cooperation with on an Cooperation-Score of 37%

Places of action

Chart of shared publication
Zhu, Meiling - 10 publications, 1 shared
Ni, Qiang - 5 publications, 1 shared
Qi, L. - 4 publications, 1 shared
Khosravi, M. R. - 1 publications, 1 shared
Wang, F. - 39 publications, 3 shared
Wang, Meng - 113 publications, 1 shared
Arem, Bart Van - 401 publications, 1 shared
Cats, Oded - 170 publications, 1 shared
Yap, Menno D - 18 publications, 1 shared
Chen, Haisheng - 46 publications, 5 shared
Wang, Yun-Peng - 183 publications, 1 shared
Yuan, J. - 13 publications, 1 shared
Liu, Yongfeng - 126 publications, 1 shared
Guo, Hua - 20 publications, 2 shared
Tang, Jiafu - 12 publications, 1 shared
Guo, L. - 5 publications, 1 shared
Liu, Q. - 19 publications, 1 shared
Gao, B. - 5 publications, 1 shared
Wang, Qianzhi - 73 publications, 1 shared
Qu, T. - 5 publications, 2 shared
Zeng, P. - 4 publications, 1 shared
Yi, F. - 1 publications, 1 shared
Gu, Chenghong - 10 publications, 1 shared
Li, Junxiong - 112 publications, 1 shared
Li, Feng - 28 publications, 1 shared
Yuan, C. - 1 publications, 1 shared
Liu, G. - 16 publications, 1 shared
Lin, Zhenhong - 53 publications, 1 shared
Deng, L. - 2 publications, 1 shared
Chen, Junxuan - 1 publications, 1 shared
Wang, Shiyuan - 66 publications, 1 shared
Gafurov, Alisher - 2 publications, 1 shared
Seo, Youngho - 2 publications, 1 shared
Li, Liguang - 6 publications, 1 shared
Jeong, Choong-Min - 2 publications, 1 shared
Kim, B. - 8 publications, 1 shared
Kim, M. - 6 publications, 1 shared
Suh, Myung Won - 14 publications, 1 shared
Suh, D. - 1 publications, 1 shared
Lu, X. - 10 publications, 1 shared
Xu, Feng-Xiang - 10 publications, 1 shared
Wang, Dian-Hai - 42 publications, 1 shared
Guo, Ge - 5 publications, 1 shared
Huang, J. - 16 publications, 1 shared
Chart of publication period
2021
2017
2016
2015
2014
2013
2012
2007

conferencepaper

Crowding Valuation in Urban Tram and Bus Transportation based on Smart Card Data

  • Yu, S.
  • Arem, Bart Van
  • Cats, Oded
  • Yap, Menno D
Abstract

Crowding in public transport can be of major influence on passengers’ travel experience and therefore affect route and mode choice. Therefore, it is important to understand how crowding in urban public transport is perceived by passengers. The availability of individual smart card transactions allows us to gain insights in revealed trade-offs between travel time, transfers, waiting time and crowding in public transport route choice, instead of using stated preference experiments. Our study is the first in which crowding valuation for urban tram and bus travelling is determined fully based on revealed preference data. Based on the estimated discrete choice model, we conclude that crowding plays a significant role in passengers’ route choice in public transport. The crowding multiplier of in-vehicle time equals 1.16 when all seats are occupied. The crowding multiplier increases further from 1.16 to 1.40, in case of an average density of 4 standing passengers per 푚푚2. Besides, our estimation results confirm the existence of a tram bonus, in which in-vehicle time in a tram is perceived 0.6 times the in-vehicle time perceived in a bus. The insights gained from our study can support the decision-making process, by quantifying benefits of measures aiming to reduce crowding levels.

Topics
  • vehicle occupant
  • data
  • passenger
  • route choice
  • traffic assignment
  • density
  • smart card
  • travel
  • bus
  • decision making
  • bus transportation
  • bus traffic
  • travel time
  • profit
  • mode choice
  • stated preference
  • crowd
  • streetcar
  • choice model
  • seat
  • valuation
  • waiting time
  • urban transit
  • revealed preference