2014
DOI: 10.7249/rb9794
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Driving in the Future in Developing Countries

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Cited by 36 publications
(17 citation statements)
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“…Progress varies enormously, reflecting diverse institutional arrangements, in which transport planning is often separated from housing and economic planning, or even by mode, with different agencies (or no agency at all) responsible for walking, cycling, bus, metro, road and highways. The context in which automobility develops or retreats is also relevant (Kenworthy, 2007;Ecola et al, 2014).…”
Section: Methods: Field Observation Literature Review and Hands-on Ementioning
confidence: 99%
See 1 more Smart Citation
“…Progress varies enormously, reflecting diverse institutional arrangements, in which transport planning is often separated from housing and economic planning, or even by mode, with different agencies (or no agency at all) responsible for walking, cycling, bus, metro, road and highways. The context in which automobility develops or retreats is also relevant (Kenworthy, 2007;Ecola et al, 2014).…”
Section: Methods: Field Observation Literature Review and Hands-on Ementioning
confidence: 99%
“…Ecola et al . () emphasize that even with economic growth not all countries will follow the same path as the cities of North America. In fact, the enormous diversity in real responses indicates that our planning efforts can reshape reality through strategic use of key levers.…”
Section: Conclusion: Planning By Chasing Trends or Mapping New Destimentioning
confidence: 99%
“…In addition, 30 km/h speed limits could have a long-term effect on community mobility patterns. A 2014 study by RAND and the Institute for Mobility Research on the future of driving in developing countries analyzed factors affecting adoption of personal vehicles and found that, based on the experience of developed nations, car-friendly infrastructure is the second most critical factor after spatial dispersion of the population in determining eventual dependence on personal motor vehicles for mobility (Ecola et al 2014).…”
Section: Rationalementioning
confidence: 99%
“…When VKT is divided by fuel consumption, it can reveal the average fuel economy of various vehicle categories in a country. Per-capita VKT is a metric that often correlates to the per-capita gross domestic product (GDP) of a country (Ecola et al 2014), which means VKT can be usefully extrapolated into the future using GDP and population projections (which are typically quite common) (Johnson, Koebrich, and Singer 2019). If VKT data is collected, it is typically tracked by a Ministry of Transportation in order to inform transportation infrastructure planning processes and maintenance decisions.…”
Section: Foundational Datamentioning
confidence: 99%
“…For example, one can estimate the per capita transport energy based on population density by aligning them on the line of best fit, shown in Figure 6. Another example is using a country's per-capita GDP to estimate its per-capita VKT, based upon the historic relationship between the two explored in Ecola et al 2014. For detailed case studies that involved filling data gaps, see Jamaica (Johnson, Koebrich, and Singer 2019), Tonga (Climate Technology Centre and Network 2018), Guam (Johnson 2013), and U.S. Virgin Islands (Johnson 2011).…”
Section: Box 5 Technical Insight: How To Fill Gaps In Foundational Datamentioning
confidence: 99%