Investigating the nonlinear relationship between transportation system performance and daily activity–travel scheduling behaviour

Habib, Khandker Nurul; Sasic, Ana; Weis, Claude; Axhausen, Kay W.

doi:10.1016/j.tra.2013.01.016

Cited by 12 publications

(11 citation statements)

References 19 publications

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“…However, in all estimations, we model the variations in resource value of time across respondents by controlling for socio-economic variables such as trip purpose, travel time, family situation, employment, household size and obligations, and income, to name just a few. There are studies explicitly taking the daily time scheduling adaptation process into account for variations in the resource value of time between and within people (Habib et al 2013, Schmid, 2017.…”

Section: Considerations Of Micro-economic Theorymentioning

confidence: 99%

A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures

2020

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Section: Considerations Of Micro-economic Theorymentioning

confidence: 99%

A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures

2020

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“…Called stated-adaptation survey (or interactive stated response survey), this type of survey focuses the observation not only on the stated choices of the respondents, but also on their choice process (Le Vine et al, 2014;Habib et al, 2013).…”

Section: Presentation Of the Methodsmentioning

confidence: 99%

Behavioral Responses to Traffic Congestion – Findings from Paris, São Paulo and Mumbai

Gaele¹

2016

Traffic Management

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This paper focuses on the impacts of traffic congestion in the daily life of metropolitan motorized households. It is based on a doctoral dissertation defended in 2012 which studied three mega cities: Paris in France, São Paulo in Brazil and Mumbai (ex-Bombay) in India. A stated-adaptation survey (simulation game) was conducted in 2009-2010 to identify behavioural responses to traffic congestion and to estimate the threshold of household tolerance to congestion in the three regions. A universal set of fifteen responses was available to households in the three regions. Respondents first selected marginal adjustments then behavioural alterations. They managed to preserve their activity pattern thanks to a few marginal adjustments until they reached a threshold and started to alter their behaviour. The threshold was almost the same from one region to another. It fluctuated around 30 additional minutes of travel time. This result was consistent with the Zahavi's conjecture of travel time budget stability.

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“…Understanding the rescheduling process has proved very important in the context of traffic management (Habib, Sasic, Weis and Axhausen, 2013;Nijland, Arentze, Borgers and Timmermans, 2009), evaluating adequately the impact of transportation policy measures towards reducing car use in urban areas (Chen and Chao, 2011) or assisting urban and transportation planning to react to unexpected events (Chen, Gärlin and Kitamura, 2004). The success of policies such as tolling, congestion pricing, and travel demand management depends on how people might adjust their daily activity and travel patterns to the enforced changes in their everyday lives (Axhausen and Gärlin, 1992).…”

Section: Introductionmentioning

confidence: 99%

Identification of determinants for rescheduling travel mode choice and transportation policies to reduce car use in urban areas

Mars

Ruíz

Arroyo

2018

International Journal of Sustainable Transportation

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This paper presents a qualitative analysis about the determinants related to rescheduling travel mode decisions during the activity scheduling process. Notably, we were interested to study changes between intention and behavior. Data used came from an in-depth CATI follow up survey to habitual drivers carried out during the implementation of a panel survey. An interpretative qualitative method based on Analytic Induction was used to cope with the complex nature of rescheduling decisions and the characteristics of the data. The Theory of Planned Behavior has been used to gain a better understanding of the reasons associated with rescheduling travel mode decisions and to obtain a possible explanation of the phenomena studied. In our sample, 12 codes were identified as the main determinats of travel mode changing. Main reasons for rescheduling a travel mode are different considering gender, age and the type of travel mode change. Main reasons for changing a non-private pre-planned travel mode to a private travel mode are different considering the type of travel mode preplanned. New determinants of rescheduling decisions different from those associated with other activity scheduling decisions previously identified emerge when analyzing travel mode changes. A number of important sustainable transportation policies to reduce car use in urban areas are derived from the results of this study.

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Investigating the nonlinear relationship between transportation system performance and daily activity–travel scheduling behaviour

Cited by 12 publications

References 19 publications

A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures

A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures

Behavioral Responses to Traffic Congestion – Findings from Paris, São Paulo and Mumbai

Identification of determinants for rescheduling travel mode choice and transportation policies to reduce car use in urban areas

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