Modelling commuting mode choice with explicit consideration of carpool in the choice set formation

Habib, Khandker Nurul; Tian, Yuan; Zaman, Hamid

doi:10.1007/s11116-011-9333-1

Cited by 47 publications

(7 citation statements)

References 18 publications

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“…The sample was composed of 2002 workers (56.4% women) living in the Paris area and with an average age of 41.8 years. The sample included 320 carpoolers (16%) and 185 carsharers (9%), which is in line with the existing literature (for example, carpoolers represent 12.2% of the sample in Abrahamse and Keall (2012), 9.3% in Habib et al (2011)). Tables 1 and 2 present the descriptive and bivariate statistics of users and non-users of carpooling and carsharing, according to their individual and contextual characteristics, respectively.…”

Section: Overall Characteristics Of Carpoolers and Carsharerssupporting

confidence: 54%

Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses

Bulteau

Feuillet

Dantan

2019

Travel Behaviour and Society

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The transport sector and the use of individual cars in particular are sources of negative externalities. Shared mobility could form a solution to this issue. This study contributes to a better understanding of the implementability of such a shared mobility by exploring the potential determinants of the use of carpooling and carsharing for commuting among a comprehensive set of socio-demographic, socio-economic, interpersonal and contextual variables. The analyses are based on a representative sample of 2002 workers living in the Paris region. Fisher's exact and Wilcoxon tests and multivariate logistic models were used to characterize the differences between carpoolers and carsharing users and to identify the correlates of mode use in our sample. We outline that the correlates differ between the two shared modes. Our models first highlight the importance of contextual variables: the use of carpooling mainly concerns people who live in rather deprived neighborhoods, while carsharing is overrepresented in well-to-do and denser neighborhoods. We identify the importance of mobility management policies within the workplace and the positive role of information. Having a carpooling service within the company is positively associated with carpooling for commuting. Regarding carsharing, the awareness of existing services (free-floating and peer-to-peer) is positively associated with carsharing use. Finally, the main originality of this study is the identification of the key role of the entourage (colleagues and/or family members) in both carpooling and carsharing. Public policies should therefore consider these results to exploit several levers to favor the use of shared modes in the Paris region.

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Section: Overall Characteristics Of Carpoolers and Carsharerssupporting

confidence: 54%

Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses

Bulteau

Feuillet

Dantan

2019

Travel Behaviour and Society

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“…The use of elicited consideration information in an econometric model of consideration and choice model is rare, especially in the transportation literature. Nurul Habib et al ( 22 ) estimated a mode choice model for travel demand management policy evaluation that used SP data with an elicited consideration option for carpooling. Instead of all alternatives, they considered a probabilistic consideration of only one alternative (carpool).…”

Section: Literature Reviewmentioning

confidence: 99%

Simultaneous Capturing of a Flexible Substitution Pattern and the Complementary/Supplementary Relationship in a Consideration Set in Mode Choice Modeling by Using Stated Preference Data

Rashedi

Hasnine

Habib

2023

Transportation Research Record: Journal of the Transportation R

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This paper investigates the use of an elicited consideration set in a mathematical model of choice and consideration set formation. It proposes an econometric formulation by allowing unrestricted correlations among alternatives in the consideration set formation and a flexible substitution pattern in the choice model. Data from a stated preference (SP) survey is used where the SP choice tasks were followed by an elicitation of the consideration set while responding to the SP experiments. As opposed to the latent choice set formation approach, the elicited consideration set reduces the computational burden for model estimation. Empirical models reveal the benefit of modeling choice in conjunction with consideration of the set formation. It is evident that overlooking the probabilistic consideration set results in the over-estimation of the effects of key choice attributes, for example, travel time and generalized cost. Estimated correlations among alternatives in the consideration set formation revealed rich patterns of complementary and supplementary relationships among the alternatives that would not be possible to observe otherwise. However, it is also clear that the relationship in the consideration set formation may not be fully translated into substitution patterns in the choice model; that is explained by the error-component mixed logit model.

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“…The need for riding with known students and traveling always with the same crew implies that it is not easy for commuters to change their habits in the short term and commute with strangers [71]. One of the main attributes that influences the consideration of ridesharing in the traveler's choice of commuting mode is the frequency of carpooling within the last months [72]. This further demonstrates the difficulty of commuters to switch to other modes of transport in a short period of time.…”

Section: Challengesmentioning

confidence: 99%

An Evaluation and Prioritization Framework for Pilot First- and Last-Mile Ridesharing Services

Mitropoulos,

Kortsari,

Fotiou

et al. 2023

Sustainability

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Ridesharing is part of the innovative shared transport regime which aims to maximize the utilization of mobility resources. Gaining knowledge of ridesharing’s impacts and how to assess them can significantly improve such services and thus contribute to their adoption among broader groups of travelers and to travel behavior change. This paper presents the framework deployed for assessing the impacts of a first-/last-mile ridesharing pilot in Athens, Greece, and capturing stakeholders’ (i.e., a researcher organization, a public authority and an infrastructure provider) point of view about planning objectives. Four impact areas are defined in total, and Key Performance Indicators (KPIs) are used. In parallel, in order to understand the stakeholder priorities when designing ridesharing services, the Analytical Hierarchical Process is implemented to estimate weights for each impact area. Increasing rail ridership is considered the top priority for all stakeholders during the planning phase for a first-/last-mile ridesharing service, which may have various implications for future initiatives. In total, 28 participants used the ridesharing service as drivers and passengers during the demonstration period. Results show that although a ridesharing service is expected to be an asset in daily transport for city travelers, the technological constraints currently burden its usage. However, as supported by demo results and travelers’ experience, there is great potential of ridesharing to contribute to a sustainable transport system and serve as a first- and last-mile solution to public transport.

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Modelling commuting mode choice with explicit consideration of carpool in the choice set formation

Abstract: Commuting, Mode choice, Choice set formation, TDM, Carpooling, Hybrid choice model,

Cited by 47 publications

References 18 publications

Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses

Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses

Simultaneous Capturing of a Flexible Substitution Pattern and the Complementary/Supplementary Relationship in a Consideration Set in Mode Choice Modeling by Using Stated Preference Data

An Evaluation and Prioritization Framework for Pilot First- and Last-Mile Ridesharing Services

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