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088 RR-636-ifmo
090 HE5725
100 1 Ecola, Liisa,|0https://id.loc.gov/authorities/names/
n2009008846|eauthor.
245 14 The future of driving in developing countries /|cLiisa
Ecola, Charlene Rohr, Johanna Zmud, Tobias Kuhnimhof,
Peter Phleps.
264 1 Santa Monica, Calif. :|bRAND,|c[2014]
264 4 |c©2014
300 1 online resource (xiv, 115 pages) :|bcolor illustrations,
color charts.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|bPDF|2rda
490 1 Technical report ;|vRR-636-ifmo
500 Title from PDF title page (viewed on August 13, 2014).
504 Includes bibliographical references (pages 108-113).
505 0 Introduction -- Evolutionary paths of mobility -- Study
methodology -- Historical mobility development in four
OECD countries -- Comparison of factors among the four
OECD countries -- Future mobility paths of Brazil, Russia,
India, and China -- Conclusions -- Appendix 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.
520 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.
536 Performed by RAND Transportation, Space, and Technology
Program for Institute for Mobility Research (ifmo).
588 0 Print version record.
590 JSTOR|bBooks at JSTOR Open Access
650 0 Automobile driving|0https://id.loc.gov/authorities/
subjects/sh85010133|zDeveloping countries|0https://
id.loc.gov/authorities/subjects/sh85037341-781
|xForecasting.|0https://id.loc.gov/authorities/subjects/
sh00005779
650 7 Automobile driving.|2fast|0https://id.worldcat.org/fast/
822899
650 7 Forecasting.|2fast|0https://id.worldcat.org/fast/931721
651 7 Developing countries.|2fast|0https://id.worldcat.org/fast/
1242969
655 0 Electronic books.
655 4 Electronic books.
655 7 Technical reports.|2lcgft|0https://id.loc.gov/authorities/
genreForms/gf2015026093
655 7 Technical reports.|2fast|0https://id.worldcat.org/fast/
1941336
700 1 Rohr, Charlene,|d1964-|0https://id.loc.gov/authorities/
names/no2014106681|eauthor.
700 1 Zmud, Johanna,|0https://id.loc.gov/authorities/names/
no2008091119|eauthor.
700 1 Kuhnimhof, Tobias,|d1973-|0https://id.loc.gov/authorities/
names/no2007135782|eauthor.
700 1 Phleps, Peter,|0https://id.loc.gov/authorities/names/
no2013101534|eauthor.
710 2 Rand Corporation,|0https://id.loc.gov/authorities/names/
n78083407|eissuing body.
710 2 Rand Transportation, Space, and Technology (Program)
|0https://id.loc.gov/authorities/names/no2008166165
710 2 Institut für Mobilitätsforschung.|0https://id.loc.gov/
authorities/names/n2002094479
776 08 |iPrint version:|aEcola, Liisa.|tFuture of driving in
developing countries.|dSanta Monica, CA : RAND Corporation,
[2014]|z9780833086044|w(OCoLC)884480836
830 0 Technical report (Rand Corporation) ;|0https://id.loc.gov/
authorities/names/n2005069635|vRR-636-ifmo.
856 40 |uhttps://www.jstor.org/stable/10.7249/j.ctt14bs3vm
|zOnline eBook. Open Access via JSTOR.
901 MARCIVE 20231220
948 |d20190820|cJSTOR EBSCO|tJSTOROpenAccess
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948 |d20180926|clti|tlti-aex
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994 92|bRID
