Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China

By Sylvia Y. He, Y. Kuo, Dan Wu. 2016

224 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/47f7239862f399dd116544fddc4553e1bc033900

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Toshiyuki Yamamoto
2. Kai Liu
3. Min Xu
4. Qiang Meng

In Transportation

1. Qiang Meng

Citations in the corpus

• Joint charging mode and location choice model for battery electric vehicle users (2017, background): “…and Ghamami, 2013; Sathaye and Kelley, 2013; Mak et al., 2013; He et al., 2015; Arslan and Kara ̧s an, 2016; Ghamami et al., 2016; Li et al., 2016a ; He et al., 2016; Hof et al., 2017; Liu and Wang, 2017 ) as well as (iii) how to address the routing, touring, fleet deployment or relocation problem…”
• A review of consumer preferences of and interactions with electric vehicle charging infrastructure (2018, unknown): “To reduce complexity policymakers and charging infrastructure companies are finding ways to ensure PEV owners can access any charging station, regardless of membership status (He et al., 2016).”