Charging infrastructure demands of shared-use autonomous electric vehicles in urban areas

2020 ◽  
Vol 78 ◽  
pp. 102210 ◽  
Author(s):  
Hongcai Zhang ◽  
Colin J.R. Sheppard ◽  
Timothy E. Lipman ◽  
Teng Zeng ◽  
Scott J. Moura
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Charging Infrastructure ◽  
Autonomous Electric Vehicles

A Decision Support System for On-Demand Goods Delivery Using Shared Autonomous Electric Vehicles

2019 ◽  
Vol 11 (2) ◽  
pp. 72-88
Author(s):  
Amel Jaoua ◽  
Marouen Ben Ammar ◽  
Anjali Awasthi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Electric Vehicles ◽  
Support System ◽  
Urban Areas ◽  
Strategic Decision ◽  
Fleet Size ◽  
Fleet Sizing ◽  
On Demand ◽  
Autonomous Electric Vehicles

This article presents a strategic decision support system (DSS) for on-demand delivery companies in urban areas. This DSS is designed and developed for the promising new concept of goods delivery based on a fleet of Shared Autonomous Electric Vehicles (SAEVs). A simulation-based optimization model is proposed to solve the fleet sizing and composition problems. The efficiency of the developed strategic DSS in determining best fleet size and composition under different scenarios is demonstrated. This article provides managerial insights to help goods delivery companies, who intend to use SAEVs, in determining the type and number of vehicles to acquire.

scholarly journals Infrastructure Planning for Autonomous Electric Vehicles, Integrating Safety and Sustainability Aspects: A Multi-Criteria Analysis Approach

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5269 ◽  
Author(s):  
Konstantina Anastasiadou ◽  
Nikolaos Gavanas ◽  
Magda Pitsiava-Latinopoulou ◽  
Evangelos Bekiaris
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Current Data ◽  
Transport Sector ◽  
Combined Application ◽  
Sustainable Planning ◽  
Multi Criteria Analysis ◽  
Transport Problems ◽  
Optimum Solution ◽  
Autonomous Electric Vehicles

After the awareness-raising of recent years for coping with the global societal, economic and environmental challenges, the need for sustainable planning in the transport sector has become even more evident. Initiatives aiming at promoting sustainable and innovative mobility solutions, especially in urban areas where mobility needs are higher and transport problems are more intense, have been launched by different organizations around the world. In this context, autonomous electric vehicles are emerging as a promising solution; however, they are accompanied by new infrastructure requirements, along with safety concerns. Policymakers will be confronted with an array of choices, such as plug-in or wireless, dynamic or stationary charging and mixed flow with conventional vehicles or dedicated lanes, taking into account the uncertain impacts of innovation on safety and sustainability. Within this scope, these infrastructure alternatives are evaluated and prioritized, for the first time, in the present study, through the combined application of two hybrid multi-criteria analysis models, with the participation of experts. The analysis is based on a set of safety and sustainability criteria. Road safety and exposure to electromagnetic radiation emerge as the most important criteria, with the optimum solution—based on current data—consisting of plug-in charging and the circulation of autonomous electric vehicles in dedicated lanes.

scholarly journals Electric Mobility in Cities: The Case of Vienna

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 217
Author(s):  
Amela Ajanovic ◽  
Marina Siebenhofer ◽  
Reinhard Haas
Keyword(s):  
Electric Vehicles ◽  
Future Development ◽  
Urban Areas ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Road Transport ◽  
Electric Mobility ◽  
Policy Framework ◽  
The Future ◽  
Historical Developments

Environmental problems such as air pollution and greenhouse gas emissions are especially challenging in urban areas. Electric mobility in different forms may be a solution. While in recent years a major focus was put on private electric vehicles, e-mobility in public transport is already a very well-established and mature technology with a long history. The core objective of this paper is to analyze the economics of e-mobility in the Austrian capital of Vienna and the corresponding impact on the environment. In this paper, the historical developments, policy framework and scenarios for the future development of mobility in Vienna up to 2030 are presented. A major result shows that in an ambitious scenario for the deployment of battery electric vehicles, the total energy demand in road transport can be reduced by about 60% in 2030 compared to 2018. The major conclusion is that the policies, especially subsidies and emission-free zones will have the largest impact on the future development of private and public e-mobility in Vienna. Regarding the environmental performance, the most important is to ensure that a very high share of electricity used for electric mobility is generated from renewable energy sources.

scholarly journals Demographic, Social, Economic, and Regional Factors Affecting the Diffusion of Hybrid Electric Vehicles in Japan

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2130
Author(s):  
Ken’ichi Matsumoto ◽  
Yui Nakamine ◽  
Sunyong Eom ◽  
Hideki Kato
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Carbon Dioxide Emissions ◽  
Regional Differences ◽  
Fixed Effects ◽  
Hybrid Electric Vehicles ◽  
Alternative Fuel Vehicles ◽  
Factors Affecting ◽  
Hybrid Electric ◽  
The Right

The transportation sector is a major contributor to carbon dioxide emissions, and the resulting climate change. The diffusion of alternative fuel vehicles, including hybrid electric vehicles (HEV), is an important solution for these issues. This study aimed to evaluate the factors affecting the ownership ratio of HEVs, particularly passenger vehicles, and the regional differences in the purchase of HEVs in Japan. This study performed a fixed-effects regression analysis with panel data for 47 prefectures during the period 2005–2015 to evaluate the factors affecting the HEV ownership ratio and conducted three cluster analyses to investigate the regional differences in diffusion in terms of price categories, body types, and drive systems of HEVs. Some demographic and social factors were found to affect the ownership ratio in Japan, whereas economic factors, including prefecture-level subsidies for purchasing HEVs, were not. Regarding regional differences, prefectures in urban areas with higher income levels tend to purchase more expensive and large-sized HEVs. These results suggest that a strategy to sell the right vehicle to the right person and region is essential for further promoting HEVs in Japan.

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