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Framework for planning of EV charging infrastructure: Where should cities start?

Authors :
Torkey, Alaa
Abdelgawad, Hossam
Source :
Transport Policy. Nov2022, Vol. 128, p193-208. 16p.
Publication Year :
2022

Abstract

The research community has been extensively contributing to micro-level planning of Electric Vehicle Charging Infrastructure (EVCI); employing objective-oriented optimization techniques for the optimum location of EVCI and their capacity. However, the complexity of those techniques and their unfamiliarity for local authorities makes micro-level planning, not a practical option for cities to start EVCI planning. This research contributes to meso-level planning of EVCI by implementing the praiseworthy practices in 25 Mega EV cities along with cities characteristics in creating a dynamic framework for EVCI planning. The proposed framework is divided into a government-target-driven framework for cities with explicit targets for e-mobility, and international-best-practices-driven framework for early adopters cities. The employed planning tools are applicable for design approaches and serviceability assessment by quantifying EV served demand and the distribution of EVCI locations as demand-driven networks. The outputs of the proposed framework are: EVCI potential locations, type, capacity, and served EV demand. Policy and operational recommendations including: projected market categories of consumers, targeted degree of electrification, and proposed demand-responsive programs are discussed. The international-best-practices-driven framework is demonstrated in the New Administrative Capital of Egypt and a phased plan of EVCI from (2022–2027) is developed to provide multiple design alternatives for decision-makers. • Meso-level planning of EVCI as a practical starting point for cities. • Provision of EVCI in Mega EV Cities in E-mobility Policies for Early Adopters. • Government-Target-Driven Framework for Planning of EVCI. • International-Best-Practices-Driven Framework for Planning of EVCI. • Cities' urban fabric in relation to EVCI planning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0967070X
Volume :
128
Database :
Academic Search Index
Journal :
Transport Policy
Publication Type :
Academic Journal
Accession number :
159577197
Full Text :
https://doi.org/10.1016/j.tranpol.2022.09.015