The future of driving in developing countries

The level of automobility, defined as travel in personal vehicles, is often seen as a function of income: The higher a country's per capita income, the greater the amount of driving. However, levels of automobility vary quite substantially between countries even at similar levels of economic de...

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Main Authors: Ecola, Liisa, Rohr, Charlene (Author), Zmud, Johanna (Author), Kuhnimhof, Tobias (Author)
Corporate Authors: Rand Corporation, Rand Transportation, Space, and Technology (Program), Institut für Mobilitätsforschung
Format: eBook
Language:English
Published: Santa Monica, Calif. RAND [2014]©2014, 2014
Series:Technical report
Subjects:
Online Access:
Collection: JSTOR Open Access Books - Collection details see MPG.ReNa
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100 1 |a Ecola, Liisa 
245 0 0 |a The future of driving in developing countries  |h Elektronische Ressource  |c Liisa Ecola, Charlene Rohr, Johanna Zmud, Tobias Kuhnimhof, Peter Phleps 
260 |a Santa Monica, Calif.  |b RAND  |c [2014]©2014, 2014 
300 |a xiv, 115 pages  |b color illustrations, color charts 
505 0 |a Data sources -- Appendix B: Country travel demand experts -- Appendix C: Factor fact sheets and flag-game results -- Appendix D: Estimating the parameters for a Gompertz model of vehicle-kilometers traveled per capita 
505 0 |a Includes bibliographical references (pages 108-113) 
651 4 |a Developing countries 
653 |a Automobile driving / Forecasting 
653 |a COMPUTERS / Data Modeling & Design 
700 1 |a Rohr, Charlene  |e [author] 
700 1 |a Zmud, Johanna  |e [author] 
700 1 |a Kuhnimhof, Tobias  |e [author] 
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710 2 |a Rand Transportation, Space, and Technology (Program) 
710 2 |a Institut für Mobilitätsforschung 
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490 0 |a Technical report 
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520 |a The level of automobility, defined as travel in personal vehicles, is often seen as a function of income: The higher a country's per capita income, the greater the amount of driving. However, levels of automobility vary quite substantially between countries even at similar levels of economic development. This suggests that countries follow different mobility paths. The research detailed in this report sought to answer three questions: What are the factors besides economic development that affect automobility? What is their influence on automobility? What will happen to automobility in developing countries if they progress along similar paths as developed countries? To answer these questions, the authors developed a methodology to identify these factors, model their impact on developed countries, and forecast automobility (as defined by per capita vehicle-kilometers traveled [VKT]) in four developing countries. This methodology draws on quantitative analysis of historical automobility development in four country case studies (the United States, Australia, Germany, and Japan) that represent very different levels of per capita automobility, in combination with data derived from an expert-based qualitative approach. The authors used the latter to assess how these experiences may affect the future of automobility in the BRIC countries: Brazil, Russia, India, and China. According to this analysis, automobility levels in the four BRIC countries will fall between those of the United States (which has the highest per capita VKT level of the four case studies) and Japan (which has the lowest). Brazil is forecasted to have the highest per capita VKT and India the lowest