Carsharing in a university setting: Impacts on vehicle ownership, parking demand, and mobility in Ithaca, NY

Stasko, Timon; Buck, Andrew B; Gao, Haoyang

doi:10.1016/j.tranpol.2013.09.018

Cited by 61 publications

(26 citation statements)

References 7 publications

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“…Online car-hailing refers to the business activities of building a service platform based on Internet technology and providing non-cruise-booking taxi services, which brings many benefits, such as reducing the use of private cars [1,2], easing traffic congestion, improving the environment [3,4]. As a new business model, online car-hailing first emerged in Europe and America, and has been increasing in popularity since entering China in 2012 [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the influencing factors of the unsafe driving behaviors of online car-hailing drivers in china

Xiao

2020

PLoS ONE

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Online car-hailing drivers are a special group between professional drivers and private car drivers. The paper built the unsafe driving behavior model of online car-hailing drivers based on the theory of planned behavior (TPB), explored the socio-psychological factors underlying drivers' motivation for unsafe driving behavior and examined how these factors predict their behaviors. 239 online car-hailing drivers were surveyed with a self-reported questionnaire. Factors analysis proved the TPB questionnaire to be valid and reliable. Structural equation modeling showed that attitude to behavior (0.18), subjective norm(0.39) significantly influenced drivers' behavioral intention, perceived behavioral control (0.27) could both affected drivers' behavioral intention (0.27) and behavior(0.21),behavioral intention was the most direct and important predictor of behavior. This study provided a valuable contribution to designing more effective interventions to improve driving safety of online car-hailing drivers.

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Section: Introductionmentioning

confidence: 99%

Analysis of the influencing factors of the unsafe driving behaviors of online car-hailing drivers in china

Xiao

2020

PLoS ONE

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“…The environmental effects of carsharing have received significant scholarly attention, and in general, carsharing and access‐based services are often perceived as “eco‐efficient services” because they make use of underutilized assets (Botsman & Rogers, ; Lamberton, ; Meijkamp, ). Further, a plethora of studies indicate that carsharing reduces car ownership (e.g., Baptista et al, ; Clewlow, ; Engel‐Yan & Passmore, ; Firnkorn & Müller, ; Firnkorn & Müller, ; Le Vine & Polak, ; Martin, Shaheen, & Lidicker, ; Nijland & van Meerkerk, ; Stasko, Buck, & Oliver Gao, ) as well as private vehicle kilometers traveled (Clark, Gifford, Anable, & Le Vine, ; Firnkorn & Müller, ; Kopp, Gerike, & Axhausen, ; Nijland & van Meerkerk, ; Sioui, Morency, & Trépanier, ; Steininger, Vogl, & Zettl, ). Rabbitt and Ghosh () estimate, in sum, that carsharing could lead to significant cost and CO 2 savings (similar to Baptista et al, ).…”

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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“… Using survey data from Ithaca Carshare, Stasko et al (2013) estimated that program participants' on-street parking needs or demands fall by 26 to 30%, depending on day of the week and time of the day.…”

Section: Parking Infrastructure Demandmentioning

confidence: 99%

Environmental impacts and potential of the sharing economy

Skjelvik¹,

Erlandsen²,

Haavardsholm³

2017

TemaNord

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Carsharing in a university setting: Impacts on vehicle ownership, parking demand, and mobility in Ithaca, NY

Cited by 61 publications

References 7 publications

Analysis of the influencing factors of the unsafe driving behaviors of online car-hailing drivers in china

Analysis of the influencing factors of the unsafe driving behaviors of online car-hailing drivers in china

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

Environmental impacts and potential of the sharing economy

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