Comparing Automated Shared Taxis and Conventional Bus Transit for a Small City

Merlin, Louis A.

doi:10.5038/2375-0901.20.2.2

Cited by 43 publications

(19 citation statements)

References 12 publications

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“…We use the term shared AV to refer to AVs sequentially handling requests of riders from different households [17]. Finally, ride-share AVs accommodate multiple passengers with similar/different itineraries at the same time [7]. Among the three modes, ride-share AVs have the potential to address a huge inefficiency of automobile travel: low occupancy.…”

Section: Adoption Of Avsmentioning

confidence: 99%

“…Another social implication of AVs is improved access to mobility for elderly, young, and disabled populations. In addition, lower income populations could see mobility benefits as well from ride-share AV fleets that are cheaper and more convenient than many public transit systems [7,34]. Local governments would benefit from lower public expenditures by abandoning low-occupancy transit services.…”

Section: Sustainability and Avsmentioning

confidence: 99%

“…How do multiple vehicles traveling at the same time affect one another (e.g., congestion)? Often models focus on a subset of questions (e.g., fixing travel demand as exogenous and estimating how fleets of vehicles would operate to meet it; see [7]). Transportation research is increasingly moving towards activity-based modeling of travel demand, which treats travel as derived by meeting people's needs and wants [43].…”

Section: Avs and Sustainability Research -Up To Nowmentioning

confidence: 99%

“…Martinez and Viegas 2017 [46] simulated ride-share AVs and ride-share minibus operation in Lisbon, Portugal, and found reductions in travel costs, vehicle miles traveled, and CO 2 emissions compared to the current system. Merlin 2017 [7] simulated the use of shared AVs or ride-share AVs to replace transit demand on city buses in Ann Arbor, U.S., finding that shared AVs reduce passenger cost relative to buses by 24%, but increase CO 2 emissions by 79%, while ride-share AVs reduce costs by 66% and reduce CO 2 emission by 21%. Bösch et al 2018 [34] built a model to compare mobility costs of private conventional vehicles, shared AVs, and ride-share AVs of different sizes ranging from single-passenger cars to buses.…”

Section: Avs and Sustainability Research -Up To Nowmentioning

confidence: 99%

“…Fleets of shared AVs could deliver mobility with convenience comparable to private automobiles but at a lower cost. The future of public transit is in play as well: shared AV fleets could improve access at lower costs than many bus and train systems [7].…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice

2020

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Autonomous vehicles (AV) are poised to induce disruptive changes, with significant implications for the economy, the environment, and society. This article reviews prior research on AVs and society, and articulates future needs. Research to assess future societal change induced by AVs has grown dramatically in recent years. The critical challenge in assessing the societal implications of AVs is forecasting how consumers and businesses will use them. Researchers are predicting the future use of AVs by consumers through stated preference surveys, finding analogs in current behaviors, utility optimization models, and/or staging empirical “AV-equivalent” experiments. While progress is being made, it is important to recognize that potential behavioral change induced by AVs is massive in scope and that forecasts are difficult to validate. For example, AVs could result in many consumers abandoning private vehicles for ride-share services, vastly increased travel by minors, the elderly and other groups unable to drive, and/or increased recreation and commute miles driven due to increased utility of in-vehicle time. We argue that significantly increased efforts are needed from the AVs and society research community to ensure 1) the important behavioral changes are analyzed and 2) models are explicitly evaluated to characterize and reduce uncertainty.

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Section: Adoption Of Avsmentioning

confidence: 99%

Section: Sustainability and Avsmentioning

confidence: 99%

Section: Avs and Sustainability Research -Up To Nowmentioning

confidence: 99%

Section: Avs and Sustainability Research -Up To Nowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice

2020

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Future Impact and Challenges of Automotive Control

Di Cairano,

Guardiola,

Malikopoulos

et al. 2023

The Impact of Automatic Control Research on Industrial Innovation

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Home-work carpooling for social mixing

et al. 2019

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Shared mobility is widely recognized for its contribution in reducing carbon footprint, traffic congestion, parking needs and transportation-related costs in urban and suburban areas. In this context, the use of carpooling in homework commute is particularly appealing for its potential of lessening the number of cars and kilometers traveled, consequently reducing major causes of traffic in cities. Accordingly, most of the carpooling algorithms are optimized for reducing total travel time, cost, and other transportation-related metrics. In this paper, we analyze carpooling from a new perspective, investigating the question of whether it can be used also as a tool to favor social integration, and to what extent social benefits should be traded off with transportation efficiency. By incorporating traveler's social characteristics into a recently introduced network-based approach to model ride-sharing opportunities, we define two social-related carpooling problems: how to maximize the number of rides shared between people belonging to different social groups, and how to maximize the amount of time people spend together along the ride. For each of the problems, we provide corresponding optimal and computationally efficient solutions. We then demonstrate our approach on two datasets collected in the city of Pisa, Italy, and Cambridge, US, and quantify the potential social benefits of carpooling, and how they can be traded off with traditional transportation-related metrics. When collectively considered, the models, algorithms, and results presented in this paper broaden the perspective from which carpooling problems are typically analyzed to encompass multiple disciplines including urban planning, public policy, and social sciences.

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Comparing Automated Shared Taxis and Conventional Bus Transit for a Small City

Abstract: Abstract

Cited by 43 publications

References 12 publications

Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice

Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice

Future Impact and Challenges of Automotive Control

Home-work carpooling for social mixing

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