Journal of Advanced Transportation

Transitions Towards Electrification, Automation, and Shared Mobility for Urban Transport


Publishing date
01 May 2022
Status
Published
Submission deadline
24 Dec 2021

Lead Editor

1University of Shanghai for Science and Technology, Shanghai, China

2Monash University, Bandar Sunway, Malaysia

3School of Architecture and Design, Southwest Jiaotong University, Chengdu China, Chengdu, China

4Shanghai Maritime University, Shanghai, China


Transitions Towards Electrification, Automation, and Shared Mobility for Urban Transport

Description

Electrification, automation, and shared mobility are the 3 Revolutions (3Rs) recently emerging in urban transport, which will fundamentally change urban transport around the world. Each revolution may bring not only substantial benefits but also tough challenges. Vehicle electrification can cut vehicle energy use and CO2 emissions. However, for electrification to have maximum benefits, power generation must be strongly shifted away from fossil fuels and deeply decarbonized to achieve the goal of “carbon neutrality” set by many countries. In addition, these vehicles will likely remain expensive for at least another decade. Automation can provide important safety benefits, reduce labor costs, enable cheaper travel, and more productive use of time.

However, by lowering the cost of travel in terms of time and money, automation would likely induce more trips and dramatically reduce the number of jobs in transportation. Shared mobility, whether through shared vehicles or trips, has the potential to lead to more efficient use of urban space, reduce traffic congestion, enable more walking and cycling trips, cut energy use and emissions, and consequently improve urban livability. However, this would require large increases in load factors (passengers per vehicle trip) and a range of supporting policies. Therefore, there is still much uncertainty in the transitions towards electrification, automation, and shared mobility for urban transport.

This Special Issue aims to solicit high-quality research to better understand the transitional pathways of the 3 revolutions and their combinations. The scope of the Special Issue includes (but is not limited to) the following technologies: electric vehicles, connected and autonomous vehicles, shared micromobility (e-scooter sharing, station-based and dockless bike-sharing, and shared e-bikes), carsharing, ridesharing, ride splitting, and other shared mobility services. We call for both original research and review articles related to the behaviors, operations, impacts, and policies of the above technologies to guide industry investment and government decision-making for the transition towards electrification, automation, and shared mobility.

Potential topics include but are not limited to the following:

  • Characterization of shared mobility, electric vehicles, or autonomous vehicles based on the real-world observed data
  • Operation optimization of shared mobility, electric vehicles, or autonomous vehicles using artificial intelligence
  • Pricing strategies and monetary/social incentives for shared mobility, electric vehicles, or autonomous vehicles
  • Potential impacts of shared mobility, electric vehicles or autonomous vehicles on car ownership, traffic congestion, energy, environment
  • Innovative strategies and policies to promote shared mobility, electric vehicles or autonomous vehicles
  • Factors influencing users’ willingness to adopt shared mobility, electric vehicles or autonomous vehicles
  • Relationship between the travel demand/behaviors of shared mobility and the built environment
  • Infrastructure planning and management for shared electric and autonomous transport systems
  • Efficiency, safety, and reliability analysis of shared electric and autonomous transport systems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5918128
  • - Research Article

A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks

Hongming Li | Dongxiu Ou | ... | Meiting Tu
  • Special Issue
  • - Volume 2022
  • - Article ID 6007485
  • - Research Article

Efficiency and Reliability Analysis of Self-Adaptive Two-Stage Fuzzy Control System in Complex Traffic Environment

Mingzhi Wang | Xianyu Wu | ... | Liuqing Ding
  • Special Issue
  • - Volume 2022
  • - Article ID 3001392
  • - Research Article

A Comparative Study of Passenger Multitasking Activities on Commuting and Leisure Electrified Intercity Railways

Xing Yao | Chunhui Jing | ... | Jinyi Zhi
  • Special Issue
  • - Volume 2022
  • - Article ID 1570521
  • - Research Article

A Roadway Safety Sustainable Approach: Modeling for Real-Time Traffic Crash with Limited Data and Its Reliability Verification

Zhenzhou Yuan | Kun He | Yang Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 2445693
  • - Research Article

An Empirical Study on the Segmentation of Potential Users of Shared Parking Spaces considering Individual Heterogeneity

Ange Wang | Hongzhi Guan | ... | Hangjin Bian
  • Special Issue
  • - Volume 2021
  • - Article ID 6243530
  • - Research Article

Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management

Menglin Yang | Hao Yu | Lu Bai
  • Special Issue
  • - Volume 2021
  • - Article ID 1191443
  • - Research Article

Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method

Mengyan Jiang | Yi Zhang | Yi Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 9445070
  • - Research Article

New Generation of Smart Highway: Framework and Insights

Chenglong Liu | Yuchuan Du | ... | Yishun Li
  • Special Issue
  • - Volume 2021
  • - Article ID 3207025
  • - Research Article

Optimizing Customized Transit Service considering Stochastic Bus Arrival Time

Qian Sun | Steven Chien | ... | Xiqiong Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 6619539
  • - Research Article

Two-Echelon Multidepot Logistics Network Design with Resource Sharing

Siyu Luo | Yong Wang | ... | Maozeng Xu
Journal of Advanced Transportation
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Acceptance rate22%
Submission to final decision126 days
Acceptance to publication18 days
CiteScore3.900
Journal Citation Indicator0.480
Impact Factor2.3
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