The International Transport Forum (ITF), in collaboration with the World Bank, have undertaken a study to help Indian stakeholders identify cost-efficient and sustainable pathways to mitigate the CO2 emissions from passenger transport in cities by providing them with a modelling tool to analyse the impact of different policy and investment proposals. The modelling tool for Indian cities is built on the ITF Global Urban Transport Model. The Energy Resources Institute (TERI) has supported the efforts through local data input and technical assistance with scenario building and analysis.
The Indian Urban Mobility Database (IUMD), as one of the key outcomes of the modelling tool, provides valuable insights into the base year and future mobility patterns/trends for 108 urban agglomerations in India under the Baseline Scenario. The IUMD provides useful data and evidence to support sustainable urban transport policies for decision makers, researchers and transport professionals in India.
Guineng CHEN - Tel: +33 (0)1 73 31 25 33 - guineng.chen@itf-oecd.org
Comprehensive data were collected for the 108 urban agglomerations for 2010 and 2015 as base years. City-specific statistics and historical data pertaining to socio-economic and urban mobility indicators were procured from various government sources for all cities for which data were available. A number of relationships were built based on these data, both to fill data gaps whenever the case arose, and to build scenarios for future development. Key stakeholders in the Indian urban transport sector validated the final database, including NITI Aayog and the Ministry of Housing and Urban Affairs.
The wide range of model inputs cover the socio economics, land use, fuel prices, infrastructure supply, vehicle fleet, travel patterns, vehicle technology, transport investment, as well as mass transit data for each city.
Data refer to the urban agglomeration, unless otherwise indicated.
108 cities in India were selected if the population size was equal to or larger than half a million residents as per the 2011 census.
The International Transport Forum (ITF), in collaboration with the World Bank, have undertaken a study to help Indian stakeholders identify cost-efficient and sustainable pathways to mitigate the CO2 emissions from passenger transport in cities by providing them with a modelling tool to analyse the impact of different policy and investment proposals. The modelling tool for Indian cities is built on the ITF Global Urban Transport Model. The Energy Resources Institute (TERI) has supported the efforts through local data input and technical assistance with scenario building and analysis.
The Indian Urban Mobility Database (IUMD), as one of the key outcomes of the modelling tool, provides valuable insights into the base year and future mobility patterns/trends for 108 urban agglomerations in India under the Baseline Scenario. The IUMD provides useful data and evidence to support sustainable urban transport policies for decision makers, researchers and transport professionals in India.
Guineng CHEN - Tel: +33 (0)1 73 31 25 33 - guineng.chen@itf-oecd.org
Comprehensive data were collected for the 108 urban agglomerations for 2010 and 2015 as base years. City-specific statistics and historical data pertaining to socio-economic and urban mobility indicators were procured from various government sources for all cities for which data were available. A number of relationships were built based on these data, both to fill data gaps whenever the case arose, and to build scenarios for future development. Key stakeholders in the Indian urban transport sector validated the final database, including NITI Aayog and the Ministry of Housing and Urban Affairs.
The wide range of model inputs cover the socio economics, land use, fuel prices, infrastructure supply, vehicle fleet, travel patterns, vehicle technology, transport investment, as well as mass transit data for each city.
Data refer to the urban agglomeration, unless otherwise indicated.
108 cities in India were selected if the population size was equal to or larger than half a million residents as per the 2011 census.