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MOBILITY TRANSITION IN CHINA

Future Trends

Digitalization and Big Data, technical innovations and new business models offer great potentials to increase efficiency in the transport sector and make mobility more sustainable and climate-friendly. Digital solutions such as Big Data traffic management platforms, new mobility services such as ride-hailing or smart bike-sharing and Mobility-as-a-Service (MaaS) can support the provision of more seamless, barrier-free and accessible mobility to people and foster the better integration of new mobility services with traditional public transport. Digitalisation fuels the development and adoption of Intelligent and Connected Vehicles (ICVs), autonomous driving or drone delivery services and is key to future-proof transport systems. Nevertheless, those innovations come along with the increasing unpredictability of how the long-term implications of such trends to the environment, the climate and the societies as a whole might be. In order to ensure an environmental, social and economic sustainable development of those technologies and to ensure data privacy, strong regulatory frameworks and roadmaps are needed.

Facts & Figures

approximately
0 m
active internet users in China are also mobile payment users
approximately
0 %
of 693,000 urban buses in operation on China's road are electric buses

News & Articles

Insights from China: How can we decarbonise the transport sector?

18. May 2022

During the global online conference Transport and Climate Change Week 2022, the Sino-German Cooperation on Low Carbon Transport (CLCT) project was pleased to invite Mr Xu Honglei, vice president at the Transport Planning and Research Institute (TPRI) of the Ministry of Transport of the People’s Republic of China, to share insights on the key challenges and ongoing efforts in decarbonising China’s transport sector, and the steps needed to stimulate its green development.

From ‘Mobility-on-demand’ to ‘Mobility-as-a Service’: Promoting China’s Transition Towards Sustainable Transport Integration

30. April 2022

The MaaS study first analyzes the definition and global practices of MaaS. Then it depicts the current landscape, stakeholders, and barriers for China’s MoD services. With field investigations in Beijing, the Guangdong-Hongkong-Macau Greater Bay Area, Shenzhen, Guangzhou, and Foshan, local trails of MaaS cases in China were made. Based on the assessment of key components towards MaaS, the study provided policy recommendations for the further integration of MoD and the development of a Chinese MaaS ecosystem to the MoT.

Strategy Workshop for the SUMP Foshan: Finding a path for Foshan’s green mobility transition

31. March 2022

As a milestone of the Foshan SUMP pilot implementation, the online workshop was held by CSTC and GIZ with participation of CATS and the Foshan Transport Bureau as well as other local stakeholders and experts. The workshop was aimed at finalising the core elements of the strategy for the SUMP: scenario selection, vision, and objectives. During the workshop, the participants discussed 3 future scenarios (by 2035): 1. Rail-dominated development; 2. Balanced bus & rail development; 3. Multi-modal development. Selecting the 3rd scenario further informed the discussion of the vision and objectives of the SUMP. Finally, 37 city-level measures corresponding with the SUMP vision (incl. integrated transport planning, stronger motor vehicle management, and creating a vibrant active mobility environment), were introduced to gather initial stakeholder feedback.

E-Bus Development in China: From Fleet Electrification to Refined Management

29. January 2022

The “Study on Technical System of the Life Cycle of Battery Electric Buses” follows the life cycle stations of battery electric buses, from its procurement, charging, operation, maintenance, to the decommissioning of batteries. It provides a technical guide for stakeholders in each of the procedures to achieve safety, efficiency, and sustainability. As part of the study, eight case cities covering various geographic area and social-economic level were identified: Zhengzhou, Chengdu, Shenzhen, Jinan, Guangzhou, Shenyang, Yinchuan, and Xi’an. Through surveys and interviews, the study collected first-hand data on the challenges, solutions, and best practices in these cities. Based on literature review, comparative analyses, field study, and expert consultations, the study then provides recommendations for all relevant stakeholders.

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