Journal of Advanced Transportation

Transitions Towards Electrification, Automation, and Shared Mobility for Urban Transport 2022


Publishing date
01 Jun 2023
Status
Published
Submission deadline
10 Feb 2023

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

4Shanghai Maritime University, Shanghai, China


Transitions Towards Electrification, Automation, and Shared Mobility for Urban Transport 2022

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 2023
  • - Article ID 6610624
  • - Research Article

A Space-Time Model for Demand in Free-Floating Carsharing Systems

Reto Bürgin | Corrado Muratori | ... | Christoph Heitz
  • Special Issue
  • - Volume 2023
  • - Article ID 9256206
  • - Research Article

Trustworthiness Assessment for Crowdsourcing-Based Citywide Parking Availability Sensing via Connected and Automated Vehicles

Shiyu Wang | Cong Zhao | ... | Yuchuan Du
  • Special Issue
  • - Volume 2023
  • - Article ID 6659916
  • - Research Article

Short-Term Inbound and Outbound Passenger Flow Prediction for New Metro Stations Based on Clustering and Deep Learning

Zihe Wang | Yongsheng Zhang | ... | Jiantao He
  • Special Issue
  • - Volume 2023
  • - Article ID 9744737
  • - Research Article

Vehicle Trajectory Control and Signal Timing Optimization of Isolated Intersection under V2X Environment

Yazhu Zou | Moyan Li | ... | Rongsheng Chen
  • Special Issue
  • - Volume 2023
  • - Article ID 8251433
  • - Research Article

Impacts of the Feeder-Related Built Environment on Taxi-Metro Integrated Use in Lanzhou, China

Qixiang Chen | Bin Lv | ... | Xianlin Li
  • Special Issue
  • - Volume 2023
  • - Article ID 3964616
  • - Research Article

A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing

Jiawen Wang | Hao Chen | ... | Yin Han
  • Special Issue
  • - Volume 2023
  • - Article ID 9370609
  • - Research Article

A Mixed Equilibrium Model and Optimal Path Platooning Method for CAV Platoons in Heterogeneous Traffic Flow

Kefu Yi | Lixia Tang | ... | Kai Luo
  • Special Issue
  • - Volume 2023
  • - Article ID 6656612
  • - Research Article

A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses

Yuan Wang | Jianshan Lu | ... | Weina Hao
  • Special Issue
  • - Volume 2023
  • - Article ID 2206625
  • - Research Article

Introducing Autonomous Shuttle Services Based on Travel Patterns for the Elderly

Eunbi Kang | Sunmin Park | ... | Hyungjoo Kim
  • Special Issue
  • - Volume 2023
  • - Article ID 3187944
  • - Research Article

Using Reinforcement Learning to Handle the Unintended Lateral Attack in the Intelligent Connected Vehicle Environment

Luoyi Huang | Wanjing Ma | ... | Kun An
Journal of Advanced Transportation
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Acceptance rate22%
Submission to final decision126 days
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CiteScore3.900
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Impact Factor2.3
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