Modeling car-sharing membership as a mobility tool: A multivariate Probit approach with latent variables

Becker, Henrik; Loder, Allister; Schmid, Basil; Axhausen, Kay W.

doi:10.1016/j.tbs.2017.04.006

Cited by 71 publications

(40 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In turn, car ownership increases with household income. 7 These results are in line with earlier research on mobility tool ownership in Switzerland [38]. The effect of free-floating car-sharing membership was then estimated separately for those respondents who claimed that they intended to buy an additional car and for those who planned no change in their car ownership.…”

Section: Car Ownership Impactsupporting

confidence: 80%

Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland

Becker

Ciari

Axhausen

2018

Transportation Research Part D: Transport and Environment

Self Cite

128

View full text Add to dashboard Cite

Free-floating car-sharing schemes operate without fixed car-sharing stations, ahead reservations or return-trip requirements. Providing fast and convenient motorization, they attract both public transport users and (former) car-owners. Thus, their impact on individual travel behavior depends on the user type. Estimating the travel behavior impact of these systems therefore requires quantitative data. Using a two-wave survey approach (shortly after launch of the scheme plus one year later) including travel diaries, this research indicates that (due to their membership) 6 % of the free-floating car-sharing customers reduce their private vehicle ownership. Moreover, the results suggest that freefloating car-sharing both complements and competes with station-based car-sharing.

show abstract

Section: Car Ownership Impactsupporting

confidence: 80%

Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland

Becker

Ciari

Axhausen

2018

Transportation Research Part D: Transport and Environment

Self Cite

128

View full text Add to dashboard Cite

show abstract

“…Such mobility tools usually require a substantial investment up-front and subsequently allow to travel with the specific modes at low (or zero) marginal cost. Eventually, distinct mobility portfolios arise dividing a population into car drivers and transit riders [1].…”

Section: Introductionmentioning

confidence: 99%

Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)

Becker

Balać

Ciari

2020

Transportation Research Part A: Policy and Practice

Self Cite

123

View full text Add to dashboard Cite

Mobility as a Service (MaaS) aims to allow less biased mode choice decisions by overcoming market segmentation. To this end, all available modes are offered at their respective marginal cost for each trip. Such a setting favors shared modes, where fixed costs can be apportioned among a large number of users. In turn, car-sharing, bike-sharing or ridehailing may themselves become an efficient alternative of public transport. Although early field studies confirm the expected changes in behaviour, impacts have not been studied for larger transport systems yet. This research conducts a first joint simulation of car-sharing, bike-sharing and ride-hailing for a city-scale transport system using MAT-Sim. Results show that in Zurich, through less biased mode choice decisions, transportrelated energy consumption can be reduced by 25 %. In addition, introduction of shared modes may increase transport system efficiency by up to 7 %. Efficiency gains may reach 11 % if shared modes were used as a substitute for public transport in lower-density areas. Hence, a MaaS scheme with shared mobility allows to increase system efficiency (travel times & cost), while substantially reducing energy consumption.

show abstract

“…The literature offers a number of case studies [21][22][23] focusing on the impacts [24], travel behaviour [20,[25][26][27], comparisons of car-sharing systems [28], technical papers on how to coordinate/ manage shared mobility [29][30][31][32][33], and hypothetical uptake [34][35][36][37][38]. The research has also focused on Uber [39][40][41], probably because it has grown substantially since it started in 2009.…”

Section: Introductionmentioning

confidence: 99%

Sustainability and Shared Mobility Models

Santos

2018

Sustainability

View full text Add to dashboard Cite

Shared mobility or mobility in the sharing economy is characterised by the sharing of a vehicle instead of ownership, and the use of technology to connect users and providers. Based on a literature review, the following four emerging models are identified: (1) peer to peer provision with a company as a broker, providing a platform where individuals can rent their cars when not in use; (2) short term rental of vehicles managed and owned by a provider; (3) companies that own no cars themselves but sign up ordinary car owners as drivers; and (4) on demand private cars, vans, or buses, and other vehicles, such as big taxis, shared by passengers going in the same direction. The first three models can yield profits to private parties, but they do not seem to have potential to reduce congestion and CO2 emissions substantially. The fourth model, which entails individuals not only sharing a vehicle, but actually travelling together at the same time, is promising in terms of congestion and CO2 emissions reductions. It is also the least attractive to individuals, given the disbenefits in terms of waiting time, travel time, comfort, and convenience, in comparison with the private car. Potential incentives to encourage shared mobility are also discussed, and research needs are outlined.

show abstract

Modeling car-sharing membership as a mobility tool: A multivariate Probit approach with latent variables

Cited by 71 publications

References 52 publications

Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland

Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland

Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)

Sustainability and Shared Mobility Models

Contact Info

Product

Resources

About