Carpooling: Who, how and why

Teal, R F

doi:10.1016/0191-2607(87)90014-8

Cited by 165 publications

(129 citation statements)

References 2 publications

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“…During that time, economic incentives outbalanced the psychological barriers on which successful carpooling programs depend: giving up personalized transportation and accepting strangers in the same vehicle. Surveys indicate that the two most important deterrents to potential carpoolers are the extra time requirements and the loss of privacy (7,8). However, the lack of correlations between socio-demographic variables and carpooling propensity (8), the design of appropriate economic incentives (9), and recent practical implementations of taxi-sharing systems in New York City (http://bandwagon.io) give ample hope that many social obstacles might be overcome in newly emerging "sharing economies" (10,11).…”

mentioning

confidence: 99%

Quantifying the benefits of vehicle pooling with shareability networks

Santi

Resta

Szell

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

660

493

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Taxi services are a vital part of urban transportation, and a considerable contributor to traffic congestion and air pollution causing substantial adverse effects on human health. Sharing taxi trips is a possible way of reducing the negative impact of taxi services on cities, but this comes at the expense of passenger discomfort quantifiable in terms of a longer travel time. Due to computational challenges, taxi sharing has traditionally been approached on small scales, such as within airport perimeters, or with dynamical ad hoc heuristics. However, a mathematical framework for the systematic understanding of the tradeoff between collective benefits of sharing and individual passenger discomfort is lacking. Here we introduce the notion of shareability network, which allows us to model the collective benefits of sharing as a function of passenger inconvenience, and to efficiently compute optimal sharing strategies on massive datasets. We apply this framework to a dataset of millions of taxi trips taken in New York City, showing that with increasing but still relatively low passenger discomfort, cumulative trip length can be cut by 40% or more. This benefit comes with reductions in service cost, emissions, and with split fares, hinting toward a wide passenger acceptance of such a shared service. Simulation of a realistic online system demonstrates the feasibility of a shareable taxi service in New York City. Shareability as a function of trip density saturates fast, suggesting effectiveness of the taxi sharing system also in cities with much sparser taxi fleets or when willingness to share is low.carpooling | human mobility | urban computing | maximum matching

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mentioning

confidence: 99%

Quantifying the benefits of vehicle pooling with shareability networks

Santi

Resta

Szell

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

660

493

View full text Add to dashboard Cite

show abstract

“…Past work on Carpooling has be focused mainly in characterizing the behavior of carpoolers, identifying the individuals who are more likely to carpool and explaining what are the main factors that affect their decision on whether to use carpooling or not [16]. Also, the question whether ridesharing can reduce congestion has been asked before [20].…”

Section: Related Workmentioning

confidence: 99%

“…Work in the area has focused on technological, usability, security and legal aspects [16] [20]. Previous research has shown that ride-sharing has economic advantage over driving alone, and that is more spatially flexible and less time consuming than public transportation, but it is not sure if this advantages are strong enough to entice commuters to switch to ride-sharing; privacy and flexibility are major reasons why the vast majority of commuters choose to drive alone.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the potential of ride-sharing using call description records

Cici

Markopoulou

Frı́as-Martı́nez

et al. 2013

Proceedings of the 14th Workshop on Mobile Computing Systems and Applications

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Ride-sharing on the daily home-work-home commute can help individuals save on gasoline and other car-related costs, while at the same time reducing traffic and pollution in the city. Work in this area has typically focused on technology, usability, security, and legal issues. However, the success of any ride-sharing technology relies on the implicit assumption that human mobility patterns and city layouts exhibit enough route overlap to allow for ride-sharing on the first place. In this paper we validate this assumption using mobility data extracted from city-wide Call Description Records (CDRs) from the city of Madrid. We derive an upper bound on the effectiveness of ride-sharing by making the simplifying assumption that any commuter can share a ride with any other as long as their routes overlap. We show that simple ride-sharing among people having neighboring home and work locations can reduce the number of cars in the city at the expense of a relatively short detour to pick up/drop off passengers; e.g., for a 0.6 km detour, there is a 52% reduction in the number of cars. Smartphone technology enables additional passengers to be picked up along the way, which can further reduce the number of cars, as much as 67%.

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“…In contrast, car sharing refers in this work to settings where two or more travellers share one vehicle at various times of the day, however, not simultaneously. Most trip sharing concepts deal with the transport of customers, however, little work is found on organised trip sharing provided by employers, with the exception of commuter carpools to and from work, which have been studied widely (e.g., Wartick 1980;Teal 1987;Ferguson 1997;Vanoutrive et al 2012). For HHC services, due to high complexity of operations, social importance and current challenges such as limited availability of parking spaces and stricter environmental regulations, numerical evaluations of trip and car sharing concepts are, as a consequence, of interest.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of trip and car sharing concepts for home health care services

Fikar

Hirsch

2016

Flex Serv Manuf J

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Routing and scheduling of home health care services usually focuses on the case where each nurse operates a separate vehicle. With increasing urbanisation, limited availability of parking spaces and stricter environmental regulations, service providers are starting to investigate car and trip sharing concepts as potential alternatives. This paper numerically investigates a car sharing concept as well as operating a transport system, which delivers and picks up nurses to and from clients combined with the additional option of walking. Different geographic distributions are investigated to identify beneficial settings for successful implementation considering various objectives of decision makers. The evaluation shows that trip sharing performs best if long service durations exist, long delays for parking occur and in areas where clients are both geographically distributed randomly and in clusters. Additionally, facilitating walking as well as trip or car sharing reduces the number of required vehicles substantially. Nevertheless, for walking and trip sharing, travel durations are prone to increase compared to classical planning approaches.

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Carpooling: Who, how and why

Cited by 165 publications

References 2 publications

Quantifying the benefits of vehicle pooling with shareability networks

Quantifying the benefits of vehicle pooling with shareability networks

Quantifying the potential of ride-sharing using call description records

Evaluation of trip and car sharing concepts for home health care services

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