Next Article in Journal
Low Redundancy Feature Selection of Short Term Solar Irradiance Prediction Using Conditional Mutual Information and Gauss Process Regression
Next Article in Special Issue
The Influence of Knowledge and Persuasion on the Decision to Adopt or Reject Alternative Fuel Vehicles
Previous Article in Journal
Community Food Growing in Parks? Assessing the Acceptability and Feasibility in Sheffield, UK
Previous Article in Special Issue
Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China
Open AccessArticle

Stochastic Electric Vehicle Network Considering Environmental Costs

by 1,2, 1,*, 1,3,4,* and 1
1
School of Transportation, Southeast University, Nanjing 211189, China
2
Department of Engineering, National University of Singapore, Singapore 117576, Singapore
3
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
4
Collaborative Innovation Center of Modern Urban Traffic, Southeast University, Nanjing 211189, China
*
Authors to whom correspondence should be addressed.
Sustainability 2018, 10(8), 2888; https://doi.org/10.3390/su10082888
Received: 20 June 2018 / Revised: 8 August 2018 / Accepted: 10 August 2018 / Published: 14 August 2018
(This article belongs to the Special Issue Travel Behaviour and Sustainable Transport of the Future)
In recent years, many countries have published their timetables to promote electric vehicles. Many researches have focused on the benefits of electric vehicles. Compared with gas vehicles, electric vehicles are more suitable for modern cities, because they are considered to be environment-friendly by the public. Hence we pay attention to the environmental costs of electric vehicles. In this paper, an electric vehicle network is established. To analyze this electric vehicle network, we define environmental costs for the network and propose a stochastic user equilibrium model to describe drivers’ route choice behavior. An algorithm is proposed to solve this model. The model and the algorithm are illustrated through a numerical example. We test the calculation feasibility of the proposed model and the computational efficiency of the proposed algorithm via this numerical example. A comparative analysis is conducted to show the benefits of introducing electric vehicles into traffic networks. With the sensitivity analysis, we also reveal the relationship between people’s environmental awareness, the quantity of electric vehicles and the environmental costs of the overall traffic network. View Full-Text
Keywords: electric vehicle network; environmental costs; environmental awareness; travel behavior; sensitivity analysis; energy vehicles; sustainable transport; logit model; environmental impacts electric vehicle network; environmental costs; environmental awareness; travel behavior; sensitivity analysis; energy vehicles; sustainable transport; logit model; environmental impacts
Show Figures

Figure 1

MDPI and ACS Style

Ma, J.; Cheng, L.; Li, D.; Tu, Q. Stochastic Electric Vehicle Network Considering Environmental Costs. Sustainability 2018, 10, 2888. https://doi.org/10.3390/su10082888

AMA Style

Ma J, Cheng L, Li D, Tu Q. Stochastic Electric Vehicle Network Considering Environmental Costs. Sustainability. 2018; 10(8):2888. https://doi.org/10.3390/su10082888

Chicago/Turabian Style

Ma, Jie; Cheng, Lin; Li, Dawei; Tu, Qiang. 2018. "Stochastic Electric Vehicle Network Considering Environmental Costs" Sustainability 10, no. 8: 2888. https://doi.org/10.3390/su10082888

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop