Call for Papers: Special Issue on "Innovations for Transport Planning in China"

China has been experiencing unprecedented urbanization over the past few decades and this trend is set to continue into the near future. The 2014 China Urbanization Plan aims to move 100 million rural residents into urban areas by 2020. Urban sprawl, the hallmark of US development, has begun to emerge in urban and suburban China. How to accommodate these new urban dwellers has become an imminent problem for all metropolitan areas in China. Moreover, with rising disposable income and continued economic reform, auto ownership has exploded in China. Auto-oriented policies have been increasingly favored in transportation decision-making across Chinese cities. Urban transport systems are facing significant challenges such as increased safety risks, congestion, and excessive air pollution and energy consumption. Given these societal changes, an important research question emerges: How urban transport systems in Chinese cities can be designed and planned to minimize the risks and maximize the benefits of rapid urbanization?

Many believe recent technology advances can be part of the solution. For example, novel sensing technologies are emerging, which are capable of tracking individual activities and movement trajectories on continuous temporal and spatial dimensions. Big Data provides opportunities to observe and model both individual motilities at disaggregated levels and collective travel patterns at aggregated levels in much finer geographic detail than ever before. Analyzing the new and emerging data requires novel analytical frameworks and methodologies. Furthermore, the nexus of transport planning and new technologies such as autonomous vehicles, new mobility options such as shared dockless bike systems and Mobility as a Service (MaaS) shall be investigated.

This special issue aims to attract high-quality papers on transport planning innovations in China. Addressing transportation system problems in Chinese cities are challenging. It is believed that lessons learned from China has the potential to inform innovations in the world. Overall, this SI brings together new opportunities and innovations for urban transport planning which all can help build the smart transportation systems of the future. It aims to attract international scholars to study China and other developing countries, connect Chinese scholars with international scholars for research collaboration, and ultimately enhance policy-making in China. This will have profound implications on the global environment. Parts of papers published in this SI will be selected from submissions to the 19th COTA conference International Conference of Transportation Professionals (CICTP2019) with the theme of “Transportation in China 2025.”


Major Topics
This special issue will prioritize paper submissions that cover the following topics (but not limited to):
• Land use and Transport System
• Integrated and Multi-Modal Transport System
• Activity and Travel Behavior
• Transport Policy and Strategy
• Data-driven Modeling of Transport System
• MaaS of Future Urban Traffic
• Shared-Mobility System Modeling
• Urban Mobility Enhancement in Context of Connected/Automated Vehicles
• Big-Data-Enabled Urban Transit System Operation and Optimization


Key Dates
Initial paper submission via the JTLU website: March 30, 2019
Feedback of the first-round review: July 30, 2019
Feedback of the second-round review: September 30, 2019
Final paper submission: December 30, 2019
Online first: February 30, 2020


Publication Costs
All articles in this special issue will be open-access articles. The publication costs for each article in this special issue is $750.


Guest Editors
Dr. Zhibin Li
Professor
School of Transportation
Southeast University
Nanjing, China
lizhibin@seu.edu.cn

Dr. Junfeng Jiao
Associate Professor
Director of Urban Information Lab
School of Architecture
The University of Texas at Austin 
Austin, Texas, USA
jjiao@austin.utexas.edu

Dr. Chuan Ding
Associate Professor
School of Transportation Science and Engineering
Beihang University
Beijing, China
cding@buaa.edu.cn