Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

7.990 Topics available

To Map

907 Locations available

469.901 PEOPLE
469.901 People People

469.901 People

Show results for 469.901 people that are selected by your search filters.

←

Page 1 of 18797

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Sourd, Romain Crastes Dit
  • 3
  • 9
  • 53
  • 2025
Marton, Peter
  • 2
  • 15
  • 0
  • 2025
Toaza, Bladimir
  • 3
  • 5
  • 91
  • 2025
Lubashevsky, Katrin
  • 2
  • 6
  • 0
  • 2025
Ambros, Jiří
  • 33
  • 90
  • 254
  • 2025
Niederdränk, Simon
  • 1
  • 2
  • 0
  • 2025
Khoshkha, Kaveh
  • 1
  • 4
  • 0
  • 2025
Brenner, Thomas
  • 19
  • 35
  • 269
  • 2025
Badea, AndreiDelft
  • 9
  • 41
  • 4
  • 2025
Michálek, TomášPardubice
  • 33
  • 39
  • 75
  • 2025
Jensen, Anders FjendboKongens Lyngby
  • 49
  • 150
  • 1k
  • 2025
Le Goff, A.
  • 1
  • 4
  • 0
  • 2025
Greer, Ross
  • 1
  • 8
  • 0
  • 2025
Gutiérrez, JavierMadrid
  • 90
  • 88
  • 2k
  • 2025
Sagues, Mikel
  • 2
  • 11
  • 3
  • 2025
Eggermond, Michael Van
  • 5
  • 20
  • 2
  • 2025
Milica Milovanović, M.
  • 1
  • 6
  • 0
  • 2025
Carrasco, Juan-Antonio
  • 12
  • 76
  • 613
  • 2025
Groen, Eric L.
  • 21
  • 103
  • 303
  • 2025
Tzenos, Panagiotis
  • 4
  • 19
  • 19
  • 2025
Mesas, Juan-José
  • 1
  • 6
  • 0
  • 2025
Oikonomou, Maria G.
  • 5
  • 23
  • 23
  • 2025
Messiou, Chrysovalanto
  • 1
  • 2
  • 0
  • 2025
Giuliani, Felice
  • 9
  • 26
  • 226
  • 2025
Roussou, Julia
  • 10
  • 68
  • 11
  • 2025

Circella, Giovanni

  • Google
  • 15
  • 52
  • 382

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (15/15 displayed)

  • 2025Teleworkers and physical commuters during the COVID-19 pandemic: the change in mobility related attitudes and the intention to telecommute in the futurecitations
  • 2024Investigating Objective and Subjective Factors Influencing the Frequency and Purpose of E-Scooter Trips7citations
  • 2023Conclusion: Reflections and Lessons from the Pandemiccitations
  • 2023Changes in Active Travel During the COVID-19 Pandemic4citations
  • 2023Combining disparate surveys across time to study satisfaction with life: the effects of study context, sampling method, and transport attributes10citations
  • 2023Adoption of Telecommuting and Changes in Travel Behavior in Southern California During the COVID-19 Pandemic2citations
  • 2021Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters30citations
  • 2021Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes10citations
  • 2021What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudes38citations
  • 2021ICT, Virtual and In-Person Activity Participation, and Travel Choice Analysis1citations
  • 2020Information and Communication Technologies(ICT), Activity Decisions,and Travel Choices: 20 years into the Second Millennium and where do we go next?citations
  • 2020Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California76citations
  • 2019Millennials in cities: Comparing travel behaviour trends across six case study regions48citations
  • 2018Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment136citations
  • 2015The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?20citations

Places of action

Chart of shared publication
Petzoldt, Tibor
1 / 117 shared
Iogansen, Xiatian
1 / 1 shared
Hauslbauer, Andrea Lucia
1 / 11 shared
Malik, Jai
2 / 5 shared
Castellanos, Sebastian
1 / 2 shared
Saridakis, Charalampos
1 / 2 shared
Kothawala, Alimurtaza
1 / 1 shared
Haddad, Angela
1 / 1 shared
Ozbilen, Basar
1 / 1 shared
Bhat, Chandra R.
1 / 33 shared
Wadud, Zia
1 / 25 shared
Grant-Muller, Susan
1 / 9 shared
Yang, Yuanxuan
1 / 8 shared
Loukaitou-Sideris, Anastasia
1 / 4 shared
Jayakrishnan, R.
1 / 4 shared
Bayen, Alexandre M.
1 / 4 shared
Fitch, Dillon T.
1 / 2 shared
Mcelroy, Sean
1 / 1 shared
Mokhtarian, Patricia L.
7 / 33 shared
Shaw, F. Atiyya
3 / 4 shared
Wang, Xinyi
1 / 2 shared
Watkins, Kari E.
1 / 2 shared
Affolter, Bailey
1 / 1 shared
Malokin, Aliaksandr
2 / 2 shared
Etezady, Ali
1 / 1 shared
Vickerman, Roger
1 / 4 shared
Pawlak, Jacek
2 / 46 shared
Mahmassani, Hani
1 / 7 shared
Mokhtarian, Patricia
1 / 4 shared
Guhathakurta, Subhrajit
1 / 2 shared
Lee, Yongsung
2 / 2 shared
Stokes, Gordon
1 / 2 shared
Delbosc, Alexa
1 / 11 shared
Lucas, Karen
1 / 32 shared
Mcdonald, Noreen
1 / 1 shared
Xiao, Yu
1 / 4 shared
Harb, Mustapha
1 / 1 shared
Walker, Joan L.
1 / 8 shared
Allison, James R.
1 / 1 shared
Dong, Zhi
1 / 1 shared
Chart of publication period
2025
2024
2023
2021
2020
2019
2018
2015

Co-Authors (by relevance)

  • Petzoldt, Tibor
  • Iogansen, Xiatian
  • Hauslbauer, Andrea Lucia
  • Malik, Jai
  • Castellanos, Sebastian
  • Saridakis, Charalampos
  • Kothawala, Alimurtaza
  • Haddad, Angela
  • Ozbilen, Basar
  • Bhat, Chandra R.
  • Wadud, Zia
  • Grant-Muller, Susan
  • Yang, Yuanxuan
  • Loukaitou-Sideris, Anastasia
  • Jayakrishnan, R.
  • Bayen, Alexandre M.
  • Fitch, Dillon T.
  • Mcelroy, Sean
  • Mokhtarian, Patricia L.
  • Shaw, F. Atiyya
  • Wang, Xinyi
  • Watkins, Kari E.
  • Affolter, Bailey
  • Malokin, Aliaksandr
  • Etezady, Ali
  • Vickerman, Roger
  • Pawlak, Jacek
  • Mahmassani, Hani
  • Mokhtarian, Patricia
  • Guhathakurta, Subhrajit
  • Lee, Yongsung
  • Stokes, Gordon
  • Delbosc, Alexa
  • Lucas, Karen
  • Mcdonald, Noreen
  • Xiao, Yu
  • Harb, Mustapha
  • Walker, Joan L.
  • Allison, James R.
  • Dong, Zhi
OrganizationsLocationPeople

document

Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes

  • Mokhtarian, Patricia L.
  • Malokin, Aliaksandr
  • Shaw, F. Atiyya
  • Circella, Giovanni
Abstract

Waiting, whether for services , for someone , or for something , is an inescapable part of life. This paper addresses a gap in the waiting time literature by examining previously sparsely studied relationships between individual- and travel-related characteristics and attitudes toward waiting using a revealed preference dataset of Northern California commuters (N = 2617). Correlational analyses, followed by a trivariate seemingly unrelated regression equations model, are developed for three waiting attitudinal constructs: general tolerance toward waiting, and attitudes toward equipped and expected waiting. Socioeconomic and demographic characteristics, time use perceptions and preferences, personality traits, multitasking attitudes (polychronicity), commute preferences and expectations, and general attitudes (e.g. pro-technology) are all seen to have significant effects on waiting attitudes. As this survey was executed on commuters, it also facilitates a unique simultaneous exploration of travel and wait time attributes, time uses that are often similarly viewed in day-to-day life. From this perspective, we see that longer commute times and distances are correlated with negative attitudes toward waiting, while commuters with pro-transit, pro-density, and pro-active transportation attitudes tend to have positive attitudes toward waiting. Additionally, we see that those with preferences for multitasking in general or at their jobs can tolerate waiting better. Overall, this study constitutes a distinctive contribution to the waiting time literature, capitalizing on a rich dataset to make important connections between related time uses and a multitude of other variables—key among them polychronicity, with its potential ability to reduce the negative perception and experience of waiting. Findings from this study may also benefit transportation and other service providers by facilitating an understanding of how various consumer groups/demographics view waiting, thus enabling providers to better cater to diverse needs/populations.

Topics
  • geography
  • survey
  • exploration
  • variable
  • data file
  • density
  • demographics
  • equation
  • regression analysis
  • economics
  • perception
  • logistics
  • expected value
  • travel
  • commuter
  • consumer
  • waiting time
  • occupation
  • marketing
  • engineering economy
  • personality
  • nonmotorised traffic
  • revealed preference

Search in FID move catalog