How to measure the impacts of shared automated electric vehicles on urban mobility

Nemoto, Eliane Horschutz; Issaoui, Roukaya; Korbee, Dorien; Jaroudi, Ines; Fournier, Georges

doi:10.1016/j.trd.2021.102766

Cited by 43 publications

(13 citation statements)

References 56 publications

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“…There are a few aspects, that we did not include. Environmental externalities, such as air-and noise pollution or energy intensity can be included for a more in-depth comparison (Nazelle et al, 2012;Nijland and Meerkerk, 2017;Bigazzi, 2019;Nemoto et al, 2021). Shared mobility is usually seen as a sustainable alternative to private modes in these regards as well.…”

Section: Discussionmentioning

confidence: 99%

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

Nagy

Csiszár

2022

Period. Polytech. Soc. Man. Sci.

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Shared mobility is an innovative and sustainable approach to passenger transportation, which has only recently emerged. In urban areas car-sharing, bike-sharing and other special vehicles (e.g., scooters) are popular. For greater distances, ridesharing is considered as a great option beside own private car usage or public transportation. We elaborated an assessment to analyse mobility modes. The research consists of two main parts. First, a wide spectrum of key variables is identified. We classified the variables among the following indicators: flexibility, comfort, and dynamic characteristics. These indicators support mode choice decisions. The second part is the model of service level. In the model, we included parameters to represent the importance of certain attributes. The model can be used to support mode choice decisions. We applied the method to analyse a simple urban mobility palette and place shared mobility within it. We found that shared mobility modes can be placed between private car usage and public transportation according to the aggregated indicators.

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Section: Discussionmentioning

confidence: 99%

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

Nagy

Csiszár

2022

Period. Polytech. Soc. Man. Sci.

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“…Authors in [30] proposed a methodology using sustainability assessment to measure the impacts of Shared Automated Electric Vehicles (SAEV). Based on an integrative literature study and in the context of AVENUE, a European project deploying automated shuttles in the public transport of European cities, a set of indicators is defined.…”

Section: Sharing and Urban Mobilitymentioning

confidence: 99%

A brief review of the future of smart mobility using 5G and IoT

Nazim

Danish

Senjyu

2022

J Sustainability Outreach

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Rapid urbanization and increasing population concentration in the cities can pose many challenges that need to be addressed intelligently. The smart city can be a proper answer to these issues. With the research and development made for the smart city, smart mobility is an important aspect that can solve everyday transportation challenges the citizens face. Smart mobility introduced the concept of connected vehicles that can sense their surroundings and make intelligent decisions based on the data collected. Such a concept must take decisions requiring a secure interface to reduce the latency in sharing information. This review and analysis of the future of 5G and IoT in smart mobility discusses the current trends in the transport system, autonomous vehicles, public transport, car sharing schemes (mobility as a service) mobility on demand. IoT connects all transport systems and communicates using 5G technology which facilitates fast communication and reduces latency, allowing millions of devices to be connected to the network. In addition, this paper discusses how 5G can cater to the needs of Internet of Things (IoT) technology for smart mobility, which looks into the aspects of smart mobility and 5G technology helping smart mobility. Lastly, this study showcases an overview of 5G that enables smart mobility.

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“…In fact, the effects on vehicle miles traveled from various CAV technologies are not clear. Some studies highlighted induced demand for personal automobile travel [33], due to empty trips, migration effects from other modes of transport, and potential low costs [34], [35]. Nevertheless, incorporating shared driverless cars can significantly reduce the total travel demand [33], [36] and annual vehicle distances traveled [37], [38].…”

Section: B Impacts Of Cavs On Network Efficiencymentioning

confidence: 99%

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

Bandeira¹,

Macedo

Fernandes

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain. Little is known about how CAVs operational behavior influences the environmental performance of network traffic, including conventional vehicles (CVs). In this paper, a microscopic traffic and emission modeling platform was applied to simulate CAVs operation in Motorway, Rural, and Urban road sections of a medium-sized European city, assuming different configurations of the car-following model parameters associated with a pre-determined or cooperative adaptative behavior of the CAVs. The main contribution is to evaluate the impact of the CAVs operation on the distribution of accelerations, Vehicle Specific Power (VSP) modal distribution, carbon dioxide (CO2) and nitrogen oxides (NOx) emissions for different road types and Market Penetration Rates (MPR). Results suggest CAVs operational behavior can affect CVs environmental performance either positively or negatively, depending on the driving settings and road type. It was found network-wide CO2 varies between savings of 18% and an increase of 4%, depending on the road type and MPR. CAVs adjusted driving settings allowed minimization of system NOx up to 13-23% for MPR ranging between 10 and 90%. These findings may support policymakers and traffic planners in developing strategies to better accommodate CAVs in a sustainable way.

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How to measure the impacts of shared automated electric vehicles on urban mobility

Cited by 43 publications

References 56 publications

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

A brief review of the future of smart mobility using 5G and IoT

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

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