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China GEF Large City Congestion and Carbon Reduction Project

Sector: Mass Transit • Location: China

Source: World Bank Group

Project
Closed

The development objective of the Global Environment Facility (GEF) Large City Congestion and Carbon Reduction Project for China are to help establish a policy framework to alleviate traffic congestion and reduce greenhouse gas (GHG) emissions in large cities in China primarily through public transport development and travel demand management, and implement such policy framework in pilot cities so

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The project “China GEF Large City Congestion and Carbon Reduction Project” is an infrastructure initiative in the Mass Transit sector, located in China. Taiyo aggregates data on it from World Bank Group.

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closed

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Description

Description

The development objective of the Global Environment Facility (GEF) Large City Congestion and Carbon Reduction Project for China are to help establish a policy framework to alleviate traffic congestion and reduce greenhouse gas (GHG) emissions in large cities in China primarily through public transport development and travel demand management, and implement such policy framework in pilot cities so as to demonstrate its local and global benefits. The project has four components. The first component provides supports at national level. This component provides technical advisory services to Ministry of Transport (MOT), with the support of affiliated national institutions, for the development of policy, strategy and technical guidelines in relation to sustainable urban transport; helps in institutional strengthening and capacity building; and monitors and evaluates the project. The second component is pilot demonstration in Suzhou, Jiangsu province. The third component is pilot demonstration in Chengdu, Sichuan province. The fourth component is pilot demonstration in Harbin, Heilongjiang province. These three components help in improving public transport, improving travel demand management (TDM), and monitoring and evaluating project activities.

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High

Data quality score

100%

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