G2TT
来源类型Research Reports
规范类型报告
ISBN9780833086044
来源IDRR-636-ifmo
The Future of Driving in Developing Countries
Liisa Ecola; Charlene Rohr; Johanna Zmud; Tobias Kuhnimhof; Peter Phleps
发表日期2014
出版年2014
页码132
语种英语
结论

Nine Non-Economic Factors Increase Automobility

  • Factors fall into two categories: transportation policy factors (car infrastructure, inexpensive fuel, pro-car policies, and lack of alternatives to driving) and exogenous factors (active population, domestic oil, domestic car industry, spatial dispersion, and car culture).
  • These nine factors seem to have affected automobility in developed countries.

These Factors Are Correlated with Automobility

  • The nine factors, each assigned a weight and scored, together yield an automobility score for each country.
  • The automobility scores were good predictors of automobility in the developed countries. Car infrastructure and spatial dispersion seem to be the most significant.

Developing Countries Are Forecasted to Have a Range of Automobility Outcomes

  • According to the automobility scores, Brazil is forecasted to have the highest levels of automobility, and India the lowest.

These Findings Have Policy Implications

  • The factors that influence travel demand, especially the exogenous ones, change only slowly over time. Substantial growth in personal vehicle travel is likely to occur no matter what transportation policies are adopted.
  • Although there is a strong correlation in developed countries between income growth and growth in vehicle travel, income levels alone are not good predictors of travel demand.
  • Understanding economic growth is quite helpful in understanding changes in travel demand over time within a country but far less so in understanding travel demand differences between countries.
  • Policymakers can influence travel demand through transportation policies. Especially in developing countries, where the infrastructure and spatial patterns are still being developed, there are opportunities to dampen the demand for driving.
主题Developing Countries ; Exploratory Modeling ; Statistical Analysis Methodology ; Surface Traffic Models ; Transportation Modeling ; Transportation Planning
URLhttps://www.rand.org/pubs/research_reports/RR636.html
来源智库RAND Corporation (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/107763
推荐引用方式
GB/T 7714
Liisa Ecola,Charlene Rohr,Johanna Zmud,et al. The Future of Driving in Developing Countries. 2014.
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