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

被引:26
|
作者
Nemoto, Eliane Horschutz [1 ,2 ]
Issaoui, Roukaya [1 ]
Korbee, Dorien [1 ]
Jaroudi, Ines [1 ,2 ]
Fournier, Guy [1 ,2 ]
机构
[1] Pforzheim Univ, Tiefenbronner Str 65, D-75175 Pforzheim, Germany
[2] Univ Paris Saclay, Lab Genie Ind, Cent Supelec, 9 Rue Joliot Curie, F-91190 Gif Sur Yvette, France
基金
欧盟地平线“2020”;
关键词
Shared automated electric vehicles; Sustainable mobility; Sustainability assessment; Technology assessment; Indicators; Transportation policy; TECHNOLOGY-ASSESSMENT; AUTONOMOUS VEHICLES; FLEET IMPLICATIONS; TRAVEL BEHAVIOR; SUSTAINABILITY; PREFERENCES; ACCEPTANCE; UNDERSTAND; SIMULATION; MANAGEMENT;
D O I
10.1016/j.trd.2021.102766
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The arrival of new technologies and innovations on mobility, such as automated vehicles, creates opportunities to tackle urban challenges. The evaluation of the impacts of these innovations on the mobility system requires a comprehensive set of criteria and parameters. This article proposes a method to measure the impacts of Shared Automated Electric Vehicles (SAEV) on mobility through a sustainability assessment. Based on an integrative literature study and on the context of AVENUE, a European project deploying automated shuttles in the public transport of European cities, a set of indicators is defined. These mobility indicators assess the social, environmental, economic, governance, and technical impacts of SAEV. The multiple dimensions of the mobility indicators contribute to filling gaps of knowledge about the performance of SAEV. The proposed method allows an evaluation and comparison of SAEV to other means of transport and thus strengthens scientifically based recommendations for transportation policies.
引用
收藏
页数:18
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