| People | Locations | Statistics |
|---|---|---|
| Tekkaya, A. Erman |
| |
| Förster, Peter |
| |
| Mudimu, George T. |
| |
| Shibata, Lillian Marie |
| |
| Talabbeydokhti, Nasser |
| |
| Laffite, Ernesto Dante Rodriguez |
| |
| Schöpke, Benito |
| |
| Gobis, Anna |
| |
| Alfares, Hesham K. |
| |
| Münzel, Thomas |
| |
| Joy, Gemini Velleringatt |
| |
| Oubahman, Laila |
| |
| Filali, Youssef |
| |
| Philippi, Paula |
| |
| George, Alinda |
| |
| Lucia, Caterina De |
| |
| Avril, Ludovic |
| |
| Belachew, Zigyalew Gashaw |
| |
| Kassens-Noor, Eva | Darmstadt |
|
| Cho, Seongchul |
| |
| Tonne, Cathryn |
| |
| Hosseinlou, Farhad |
| |
| Ganvit, Harsh |
| |
| Schmitt, Konrad Erich Kork |
| |
| Grimm, Daniel |
|
Circella, Giovanni
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2023Combining disparate surveys across time to study satisfaction with life: the effects of study context, sampling method, and transport attributescitations
- 2023Changes in Active Travel During the COVID-19 Pandemiccitations
- 2023Conclusion: Reflections and Lessons from the Pandemic
- 2023Adoption of Telecommuting and Changes in Travel Behavior in Southern California During the COVID-19 Pandemiccitations
- 2022Adoption of telecommuting and changes in travel behavior in Southern California during the COVID-19 pandemiccitations
- 2021Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributescitations
- 2021Glimpse of the future : simulating life with personally owned autonomous vehicles and their implications on travel behaviorscitations
- 2021What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudescitations
- 2021Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuterscitations
- 2020Will autonomous vehicles change residential location and vehicle ownership? Glimpses from Georgiacitations
- 2020Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in Californiacitations
- 2019Identifying latent mode-use propensity segments in an all-AV eracitations
- 2019Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributescitations
- 2019It’s not all fun and games : an investigation of the reported benefits and disadvantages of conducting activities while commutingcitations
- 2019How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarioscitations
- 2019Millennials in cities : comparing travel behaviour trends across six case study regionscitations
- 2018Transport policy in the era of ridehailing and other disruptive transportation technologiescitations
- 2018Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experimentcitations
- 2018Projecting travelers into a world of self-driving vehicles : estimating travel behavior implications via a naturalistic experimentcitations
- 2015The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?citations
- 2006Smart Technologies for Environmental Safety and Knowledge Enhancement in Intermodal Transport
Places of action
| Organizations | Location | People |
|---|
article
Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes
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 ...
Topics
Search in FID move catalog