Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach

Luca, Stefano de; Pace, Roberta Di

doi:10.1016/j.tra.2014.11.001

Cited by 100 publications

(76 citation statements)

References 31 publications

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“…Previous studies have also reported that the government could play an important role in fostering carsharing market development, primarily in the form of providing financial support and subsidized parking [49,50,51]. For example, some 80% of carsharing organizations in the USA are financial supported by governments through tax incentives, starting investments, emergency risk fund support, etc.…”

Section: Discussionmentioning

confidence: 99%

Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China

Wang

Yan

Xue

et al. 2017

IJERPH

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Carsharing is growing rapidly in popularity worldwide. When the vehicles involved are Battery Electric Vehicles (BEV), carsharing has been proven to remarkably contribute to easing energy and environment crises. In this study, individuals’ acceptance to carsharing in China was measured from three aspects: carsharing mode choice behavior, highest acceptable price to use carsharing, and willingness to forgo car purchases. The data were collected by a web-based survey. The hierarchical tree-based regression (HTBR) method was applied to explore the effects of potential influencing factors on individuals’ acceptance, and some interesting findings were obtained: participants who know about carsharing were more likely to use carsharing, pay higher prices and forgo car purchases; the most competitive trip purpose and trip distance for choosing carsharing were, respectively, business activities and 11–20 km; most participants (47.1%) were willing to pay 1–2 Yuan per minute to use carsharing, and males or participants with higher income-level could accept higher price; and when car purchase restrain policy (CPRP) was carried out in a city or the urban public transport service level (UPTSL) was high, participants were more willing to forgo car purchases. Based on the above findings, corresponding policies were proposed to provide guidance for successful establishment of carsharing in China.

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Section: Discussionmentioning

confidence: 99%

Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China

Wang

Yan

Xue

et al. 2017

IJERPH

View full text Add to dashboard Cite

show abstract

“…Finally, the implementation of more efficient approaches to Monte Carlo simulation-based algorithms for SNL-Probit. From an operational viewpoint, it would be interesting to embed, within the assignment procedure, travel demand management strategies or supply-oriented policies [58,59], signal setting design problems [17,18] and/or the effects of Advanced Traveller Information Systems [11].…”

Section: Discussionmentioning

confidence: 99%

Approaches for solving the stochastic equilibrium assignment with variable demand: internal vs. external solution algorithms

Cantarella

Luca

Gangi

et al. 2014

Optimization Methods and Software

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This paper proposes and compares different approaches within the general fixed-point framework that allows to deal with multi-user (stochastic) equilibrium assignment with variable demand (VD). The aim was threefold: (i) compare the efficiency and the effectiveness of the internal and the external approaches to stochastic equilibrium assignment with VD; (ii) investigate the efficiency and the effectiveness of different algorithms based on the method of successive averages and its extensions; (iii) investigate the effects of different averaging schemes, different convergence criteria and different path choice models, such as Multinomial Logit model, C-Logit model and Multinomial Probit model. Analyses were carried out with respect to a real network and considering different indicators of both efficiency and effectivenes

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“…Several studies illustrate that demographic factors, for example, age, influence the utilization of carsharing services (e.g., de Luca & Di Pace, ; Jian, Rashidi, & Dixit, ; Prieto, Baltas, & Stan, ). Furthermore, consumer psychographic variables and motivations have been identified as important factors for the use of access‐based and sharing programs in general (e.g., Benoit, Baker, Bolton, Gruber, & Kandampully, ; Lamberton, ; Moeller & Wittkowski, ; Roos & Hahn, ) as well as carsharing in particular (Peterson & Simkins, ; Schaefers, ).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

“…Apart from individual user aspects, program characteristics of carsharing business models also influence adoption. In this regard, costs are an obvious factor to the decision to own or share a car (Schuster, Byrne, Corbett, & Schreuder, ; also de Luca & Di Pace, ) and has shown to be crucial for the success or failure (Perboli et al ()). With regard to the overarching setup of different carsharing options, Münzel et al () posit that no specific provider model (cooperative, business‐to‐consumer, and peer‐to‐peer) will dominate in the foreseeable future and Cohen and Kietzmann () add, with a focus on the provider of carsharing services, that both private and public models are fraught with principal–agent conflicts.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

“I like it, but I don't use it”: Impact of carsharing business models on usage intentions in the sharing economy

et al. 2019

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Carsharing is often promoted as a potentially environmental‐friendly alternative to individual car ownership. However, various carsharing programs have displayed limited success in the past. An initial field study of a new carsharing service is such a story of failure: The introduction of this new service at a medium‐sized German university generated unexpectedly low adoption rates so that the service was eventually scaled down and then suspended. Quantitative field study results as well as additional qualitative focus groups reveal that missing compatibility is a key barrier to adoption. Drawing on extant conceptual frameworks of user participation in sharing business models, a factorial survey identifies the importance of different dimensions of carsharing business models for their acceptance. The results reveal that a set of convenience and lifestyle dimensions influences usage intentions, including mode of drive, pickup and drop‐off mode, service level, price model, availability, and type of market mediation. In contrast, vehicle fleet does not appear to influence carsharing models' acceptance. These findings contribute to research on business model configuration as well as the attitude–behavior gap in the sharing economy by determining relevant dimensions of a carsharing business model that can bridge the gap between basically positive attitudes and usage resistance. Thereby, they also serve for concrete managerial recommendations.

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Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach

Cited by 100 publications

References 31 publications

Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China

Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China

Approaches for solving the stochastic equilibrium assignment with variable demand: internal vs. external solution algorithms

“I like it, but I don't use it”: Impact of carsharing business models on usage intentions in the sharing economy

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