A Rural Transport Implementation Index for Connected, Autonomous and Electric Vehicles

被引:4
作者
Walters, Joseph George [1 ]
Marsh, Stuart [1 ]
Rodrigues, Lucelia [2 ]
机构
[1] Univ Nottingham, Nottingham Geospatial Inst, Triumph Rd, Nottingham NG7 2TU, England
[2] Univ Nottingham, Dept Architecture & Built Environm, Univ Pk, Nottingham NG7 2RD, England
来源
FUTURE TRANSPORTATION | 2022年 / 2卷 / 03期
基金
英国工程与自然科学研究理事会;
关键词
connected vehicles; autonomous vehicles; electric vehicles; index development; development indicators; transport planning; rural transport systems; planning; mobility; electrification; SUSTAINABILITY ASSESSMENT; CHALLENGES; INDICATORS; MOBILITY; POVERTY;
D O I
10.3390/futuretransp2030042
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
With connected, autonomous and electric vehicles (CAEV) developing rapidly, there is a need to better support their implementation into rural scenarios, where there are numerous transport challenges. The potential safety, efficiency and sustainability benefits of CAEVs could provide significant value for rural communities if implemented correctly. However, transport planner knowledge of CAEVs and their digital and physical infrastructure requirements in the UK is limited and, despite interest, there is little time or resources available to effectively explore rural CAEV implementation potential. This paper therefore describes the methodology behind, and development of, the CAEV Rural Transport Index (CARTI), based on existing literature and a combination of existing and developed indicators. The CARTI's purpose is to identify the levels of need, capacity and overall potential of different rural areas to support rural CAEV implementation. Application of the CARTI to several case study areas reveals a range of benefits, reviewed through workshops with local transport professionals. Ultimately, the CARTI is identified as a much-needed tool to support the implementation of CAEVs in rural areas, with potential for further development to establish it as a successful and long-term planning tool.
引用
收藏
页码:753 / 773
页数:21
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