Urban Transport Data Analysis Tool : User's Manual
The urban population in the developing world is expected to more than double by the middle of the twenty-first century, from 2.3 billion in 2005 to 5.3 billion in 2050. Large cities are growing very rapidly, and services are struggling to keep up....
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| Format: | ESMAP Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2014
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| Online Access: | http://documents.worldbank.org/curated/en/2014/01/20133572/urban-transport-data-analysis-tool-ut-dat-users-manual http://hdl.handle.net/10986/20087 |
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okr-10986-200872021-04-23T14:03:54Z Urban Transport Data Analysis Tool : User's Manual Agarwal, O. P. Padam, Gouthami Bahuguna, Aroha Pena, Salvador AIR AIR POLLUTION AIR QUALITY AUTHORIZED USERS BENCHMARK CLASSIFICATION CONGESTION CONTENTS COPYRIGHT CRASHES DATA ANALYSIS DESCRIPTION EMISSION ENERGY CONSUMPTION FOSSIL FUEL FUEL CONSUMPTION FUEL EFFICIENCY GLOBAL KNOWLEDGE GREENHOUSE GAS GREENHOUSE GAS EMISSIONS HIGH ENERGY INDEXES INPUT DATA INSTITUTIONAL CAPACITY INTERSECTION DESIGN LOGIC MASS TRANSIT MASS TRANSIT SYSTEMS MATRIX MENU MOTOR VEHICLES PERFORMANCE MEASURES POLLUTION POPULATION GROWTH PRIVATE VEHICLE PRIVATE VEHICLES PUBLIC TRANSPORT PUBLIC TRANSPORT SYSTEM RAW DATA RESULT RESULTS RIDERSHIP ROAD ROAD MAINTENANCE ROADS TECHNICAL ASSISTANCE TECHNICAL SUPPORT TRAFFIC TRAFFIC ACCIDENTS TRAFFIC CONGESTION TRAFFIC SAFETY TRANSIT CAPACITY TRANSIT SYSTEMS TRANSPORT AGENCIES TRANSPORT DATA TRANSPORT INDICATORS TRANSPORT INFRASTRUCTURE TRANSPORT PROBLEMS TRAVEL DEMAND TRIP TRIP LENGTHS TRIP MAKING TRUE URBAN MOBILITY URBAN TRANSPORT URBAN TRANSPORT INDICATORS URBAN TRANSPORT INFRASTRUCTURE URBAN TRANSPORT PROBLEMS URBAN TRAVEL URBANIZATION USER USERS USES VARIABILITY VEHICLE VEHICLE FLEET VEHICLE USE VERIFICATION The urban population in the developing world is expected to more than double by the middle of the twenty-first century, from 2.3 billion in 2005 to 5.3 billion in 2050. Large cities are growing very rapidly, and services are struggling to keep up. In particular, some cities have been overwhelmed by the increase in travel demand. The result has been a turn to private vehicles, an increase in fossil fuel consumption, and a subsequent rise in greenhouse gas emissions and pollution levels. This has also led to congestion, making it increasingly difficult for goods and people to move from place to place, as well as an increasing incidence of road crashes. The net effect is a decrease in the health and well-being of urban dwellers as well as the economic efficiency of the cities that they live in. It is essential that the growing needs of urban mobility be met more efficiently. There is an urgent need for planning for urban mobility that not only provides the required capacity to meet growing demand but does so in a manner that minimizes the energy used. Mitigation efforts in most cities have addressed the symptoms rather than the underlying causes. Cities have tried to deal with congestion by widening their roads or building mass transit systems, without first looking at whether the city needs additional road/mass transit capacity or whether it needs other interventions like improved intersection design or improved road maintenance. 2014-09-11T21:27:07Z 2014-09-11T21:27:07Z 2014-01 http://documents.worldbank.org/curated/en/2014/01/20133572/urban-transport-data-analysis-tool-ut-dat-users-manual http://hdl.handle.net/10986/20087 English en_US Energy Sector Management Assistance Program (ESMAP); CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: ESMAP Paper Publications & Research |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
AIR AIR POLLUTION AIR QUALITY AUTHORIZED USERS BENCHMARK CLASSIFICATION CONGESTION CONTENTS COPYRIGHT CRASHES DATA ANALYSIS DESCRIPTION EMISSION ENERGY CONSUMPTION FOSSIL FUEL FUEL CONSUMPTION FUEL EFFICIENCY GLOBAL KNOWLEDGE GREENHOUSE GAS GREENHOUSE GAS EMISSIONS HIGH ENERGY INDEXES INPUT DATA INSTITUTIONAL CAPACITY INTERSECTION DESIGN LOGIC MASS TRANSIT MASS TRANSIT SYSTEMS MATRIX MENU MOTOR VEHICLES PERFORMANCE MEASURES POLLUTION POPULATION GROWTH PRIVATE VEHICLE PRIVATE VEHICLES PUBLIC TRANSPORT PUBLIC TRANSPORT SYSTEM RAW DATA RESULT RESULTS RIDERSHIP ROAD ROAD MAINTENANCE ROADS TECHNICAL ASSISTANCE TECHNICAL SUPPORT TRAFFIC TRAFFIC ACCIDENTS TRAFFIC CONGESTION TRAFFIC SAFETY TRANSIT CAPACITY TRANSIT SYSTEMS TRANSPORT AGENCIES TRANSPORT DATA TRANSPORT INDICATORS TRANSPORT INFRASTRUCTURE TRANSPORT PROBLEMS TRAVEL DEMAND TRIP TRIP LENGTHS TRIP MAKING TRUE URBAN MOBILITY URBAN TRANSPORT URBAN TRANSPORT INDICATORS URBAN TRANSPORT INFRASTRUCTURE URBAN TRANSPORT PROBLEMS URBAN TRAVEL URBANIZATION USER USERS USES VARIABILITY VEHICLE VEHICLE FLEET VEHICLE USE VERIFICATION |
| spellingShingle |
AIR AIR POLLUTION AIR QUALITY AUTHORIZED USERS BENCHMARK CLASSIFICATION CONGESTION CONTENTS COPYRIGHT CRASHES DATA ANALYSIS DESCRIPTION EMISSION ENERGY CONSUMPTION FOSSIL FUEL FUEL CONSUMPTION FUEL EFFICIENCY GLOBAL KNOWLEDGE GREENHOUSE GAS GREENHOUSE GAS EMISSIONS HIGH ENERGY INDEXES INPUT DATA INSTITUTIONAL CAPACITY INTERSECTION DESIGN LOGIC MASS TRANSIT MASS TRANSIT SYSTEMS MATRIX MENU MOTOR VEHICLES PERFORMANCE MEASURES POLLUTION POPULATION GROWTH PRIVATE VEHICLE PRIVATE VEHICLES PUBLIC TRANSPORT PUBLIC TRANSPORT SYSTEM RAW DATA RESULT RESULTS RIDERSHIP ROAD ROAD MAINTENANCE ROADS TECHNICAL ASSISTANCE TECHNICAL SUPPORT TRAFFIC TRAFFIC ACCIDENTS TRAFFIC CONGESTION TRAFFIC SAFETY TRANSIT CAPACITY TRANSIT SYSTEMS TRANSPORT AGENCIES TRANSPORT DATA TRANSPORT INDICATORS TRANSPORT INFRASTRUCTURE TRANSPORT PROBLEMS TRAVEL DEMAND TRIP TRIP LENGTHS TRIP MAKING TRUE URBAN MOBILITY URBAN TRANSPORT URBAN TRANSPORT INDICATORS URBAN TRANSPORT INFRASTRUCTURE URBAN TRANSPORT PROBLEMS URBAN TRAVEL URBANIZATION USER USERS USES VARIABILITY VEHICLE VEHICLE FLEET VEHICLE USE VERIFICATION Agarwal, O. P. Padam, Gouthami Bahuguna, Aroha Pena, Salvador Urban Transport Data Analysis Tool : User's Manual |
| relation |
Energy Sector Management Assistance Program (ESMAP); |
| description |
The urban population in the
developing world is expected to more than double by the
middle of the twenty-first century, from 2.3 billion in 2005
to 5.3 billion in 2050. Large cities are growing very
rapidly, and services are struggling to keep up. In
particular, some cities have been overwhelmed by the
increase in travel demand. The result has been a turn to
private vehicles, an increase in fossil fuel consumption,
and a subsequent rise in greenhouse gas emissions and
pollution levels. This has also led to congestion, making it
increasingly difficult for goods and people to move from
place to place, as well as an increasing incidence of road
crashes. The net effect is a decrease in the health and
well-being of urban dwellers as well as the economic
efficiency of the cities that they live in. It is essential
that the growing needs of urban mobility be met more
efficiently. There is an urgent need for planning for urban
mobility that not only provides the required capacity to
meet growing demand but does so in a manner that minimizes
the energy used. Mitigation efforts in most cities have
addressed the symptoms rather than the underlying causes.
Cities have tried to deal with congestion by widening their
roads or building mass transit systems, without first
looking at whether the city needs additional road/mass
transit capacity or whether it needs other interventions
like improved intersection design or improved road maintenance. |
| format |
Publications & Research :: ESMAP Paper |
| author |
Agarwal, O. P. Padam, Gouthami Bahuguna, Aroha Pena, Salvador |
| author_facet |
Agarwal, O. P. Padam, Gouthami Bahuguna, Aroha Pena, Salvador |
| author_sort |
Agarwal, O. P. |
| title |
Urban Transport Data Analysis Tool : User's Manual |
| title_short |
Urban Transport Data Analysis Tool : User's Manual |
| title_full |
Urban Transport Data Analysis Tool : User's Manual |
| title_fullStr |
Urban Transport Data Analysis Tool : User's Manual |
| title_full_unstemmed |
Urban Transport Data Analysis Tool : User's Manual |
| title_sort |
urban transport data analysis tool : user's manual |
| publisher |
World Bank, Washington, DC |
| publishDate |
2014 |
| url |
http://documents.worldbank.org/curated/en/2014/01/20133572/urban-transport-data-analysis-tool-ut-dat-users-manual http://hdl.handle.net/10986/20087 |
| _version_ |
1764444540671885312 |