Estimation of Carsharing Demand Using an Activity-Based Microsimulation Approach: Model Discussion and Some Results

Ciari, Francesco; Schuessler, Nadine; Axhausen, Kay W.

doi:10.1080/15568318.2012.660113

Cited by 87 publications

(56 citation statements)

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“…Taking this number of users, performance of the system would correspond to an ideal carsharing system operating in Lisbon, where users can always find cars and parking available at all stations. This is similar to the research done by Ciari et al (2013). Although not accurate, it was simulated to serve as a benchmark to compare with the results of the realistic model when the full operation is simulated, i.e., with all supply constraints.…”

Section: Set-upmentioning

confidence: 80%

“…A case of system dynamics was used by Papanikolaou (2011), where the author acknowledges the importance of feedbacks in the system but is unable to validate his aggregate model for a real system and later recognizes that an aggregate method such as system dynamics is unable to represent the highly spatial and temporal nature of these systems. Ciari et al (2013), recognizing these special characteristics of carsharing systems, applied an activity-based microsimulation approach (MATsim) to estimate more accurately the demand for carsharing systems, taking into consideration all transport modes supplied in the city and the characteristics of each traveler. In their first paper on this topic, they applied the model to a round-trip carsharing system for Zurich city center, not considering the supply side.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several authors propose the use of spatial and temporal disaggregate models to study such systems given the fact that, especially in this mode, supply and demand influence each other in a significant way: as a vehicle is taken from one station to the other depleting the origin and increasing the stock in the destination, demand is implicitly changing the supply which is not a phenomenon observable in classical transit systems (Ayed, Khadraoui, & Aggoune, 2015;Barrios & Doig, 2014;Ciari, Schuessler, & Axhausen, 2013;.…”

Section: Introductionmentioning

confidence: 99%

“…It is a natural way of replicating travelers and their movements in an urban space allowing mimicking different behavior rules and interactions with the environment, in this case a road network and vehicle supply in the carsharing stations. This idea is not entirely new and it is possible to find in the literature disaggregate approaches for carsharing such as the one by Ciari et al (2013), where demand for carsharing is simulated at the level of each traveler. However, in their modeling efforts based on MATSIM there was no particular attention given to the perspective of the operator.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal

Martínez

Correia

Moura

et al. 2016

International Journal of Sustainable Transportation

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Two important claims for carsharing systems are their increased flexibility and potential contribution to reducing transport externalities such as pollution. Carsharing typically involves a fleet of vehicles in stations around a city that clients may use on an hourly-payment basis. Classical round-trip systems address a niche market of shopping and errand trips. However, a growing market is now arising providing one-way trips to clients. Great uncertainty remains on the economic viability of this type of carsharing given the complex relation between supply and demand, and how this may influence the level of service provided. Realistic modeling tools that include both supply and demand characterization and allow testing several carsharing operational parameters are scarce. In this sense, a detailed agent-based model was developed to simulate one-way carsharing systems. The simulation incorporates a stochastic demand model discretized in time and space and a detailed environment characterization with realistic travel times. The operation includes maintenance operations, relocations and reservations. The model was applied to the case-study city of Lisbon. Our results show that comparing to other modes, carsharing performs worse than private cars both in terms of time and cost. Nevertheless, it clearly outperforms taxis in terms of cost, and outperforms buses, metro and walking in terms of travel time. The competitiveness of carsharing is highly determined by trip length, becoming more competitive than other modes (traveltime wise) as trips become longer. The operational policies as car-fleet relocation and car reservation showed significant effects in enhancing profit while preserving good customers' satisfaction.

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Section: Set-upmentioning

confidence: 80%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal

Martínez

Correia

Moura

et al. 2016

International Journal of Sustainable Transportation

View full text Add to dashboard Cite

show abstract

“…Ciari et al [6] use an activity-based micro-simulation to estimate the car sharing demand and Di Febbraro et al [11] use data from traditional car sharing for this purpose. We use a real time approach in combination with shortterm demand estimation models from public transport.…”

Section: Modeling Requirementsmentioning

confidence: 99%

Increasing Acceptance of Free-Floating Car Sharing Systems Using Smart Relocation Strategies: A Survey Based Study of car2go Hamburg

Herrmann

Schulte

Voß

2014

Lecture Notes in Computer Science

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Abstract. Rapid growth rates seem to indicate that recently introduced free-floating car sharing (FFCS) can mean a breakthrough for the car sharing idea. Like other vehicle sharing systems, FFCS systems face significant regional demand fluctuations. Thus, providers might have to reposition empty vehicles to not lose potential customers. However, this aspect has been hardly examined in research and practice. This study aims to investigate appropriate relocation strategies for this new type of car sharing systems regarding the case of car2go. For this purpose a survey based evaluation was conducted, new relocation strategies were developed, and a discrete-event simulation model for the evaluation with real time data from car2go was drafted. The results indicate that availability of cars is crucial for customer acceptance, but customers are open for smart relocation strategies. Furthermore, the developed simulation approach provides the basis for an in-depth analysis of various strategies with different objectives using a realistic demand forecast.

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Consumers' processing of mindful commercial car sharing

Peterson

Simkins

2019

Bus Strat Env

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Commercial car sharing offers a form of market‐mediated, access‐based consumption with a markedly lower impact on the natural environment than that of car ownership. Consumers adopting such alternative transportation modes are manifesting a marketplace behavior that can be said to be mindful because of the innovative and sustainable nature of car sharing. This study employs behavioral reasoning theory to examine how consumers' value orientations, as well as reasons for and against car sharing, might be used in consumers' processing of mindful commercial car‐sharing adoption. Findings suggest that subjective norms (thoughts of important others for consumers, such as co‐workers) serve an important mediating role for both consumers' value orientations and reasons for car sharing in their relationship with car‐sharing behavior. These results provide marketing researchers important knowledge about green consumption and suggest that practitioners would do well to emphasize the social dimension when marketing environmentally oriented services, such as car sharing.

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Estimation of Carsharing Demand Using an Activity-Based Microsimulation Approach: Model Discussion and Some Results

Abstract: Carsharing is a system that allows individuals to use a car from a fleet on an hourly basis.

Cited by 87 publications

References 5 publications

Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal

Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal

Increasing Acceptance of Free-Floating Car Sharing Systems Using Smart Relocation Strategies: A Survey Based Study of car2go Hamburg

Consumers' processing of mindful commercial car sharing

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