Variant Concept of Transportation-Disadvantaged: Evidence from Aydin, Turkey, and Yamaga, Japan
Publication: Journal of Urban Planning and Development
Volume 137, Issue 1
Abstract
Transportation-disadvantaged groups have been defined in previous studies as those who are low income earners, are family dependent, have limited access to private motor vehicles and public transport services, and are obliged to spend relatively more time and money on their trips. Additionally the disabled, young, and elderly are commonly considered to be among the transportation-disadvantaged. Although generally this definition seems correct, it is not specific enough to become a universal definition that could apply to all urban contexts. This paper investigates whether perceptions of travel difficulty vary as does the definition of transportation-disadvantaged in socioculturally different urban contexts. For this investigation, the writers undertake a series of statistical analyses in a case study of Yamaga, Japan, and compare the findings with a previous case study, in which the same methodology, hypothesis, and assumptions were applied to a culturally and demographically different settlement in Aydin, Turkey. After comparing the findings observed in Aydin with the statistical analysis results in Yamaga, this paper reveals that there can be no detailed, universal definition of the transportation-disadvantaged. The writers conclude that the characteristics of the transportation-disadvantaged are not globally identical, and policies and solutions that work in one locality may not have the same results in another sociocultural context.
Get full access to this article
View all available purchase options and get full access to this article.
References
Blaser, A. (1996). “A brilliant future with disabilities.” Futurist, 30(5), 40–42.
Cervero, R., and Mason, J., eds. (1998). Conf. on transportation in developing countries, Univ. of California Transportation Center and the Office of the President, Univ. of California, Berkeley, CA.
Church, A., Frost, M., and Sullivan, K. (2000). “Transport and social exclusion in London.” Transp. Policy, 7(3), 195–205.
Davidse, R. (2006). “Older drivers and ADAS.” IATSS Res., 30(1), 6–20.
Deakin, E. (2003). “Trends and policy choices.” ACCESS, 23(1), 12–15.
Downs, A. (1992). Still stuck in traffic coping with peak hour traffic congestion, Brookings Institution, Washington, DC.
Duvarci, Y., and Yigitcanlar, T. (2007). “Integrated modeling approach for the transportation disadvantaged.” J. Urban Plann. Dev., 133(3), 188–200.
Fujii, S., Kitamura, R., and Kishizawa, K. (1999). “Analysis of individuals’ joint-activity engagement using a model system of activity-travel behavior and time use.” Transp. Res. Rec., 1676, 99–0755.
Hauser, T., Scherer, W., and Smith, B. (2000). Signal system data mining, Univ. of Virginia Press, Charlottesville, VA.
Hine, J., and Grieco, M. (2003).“Scatters and clusters in time and space.” Transp. J., 10, 299–306.
Hine, J., and Mitchell, F. (2001). “Better for everyone? Travel experiences and transport exclusion.” Urban Stud., 38(2), 319–332.
Hine, J., and Mitchell, F. (2003). Transport disadvantage and social exclusion, Ashgate, London.
Litman, T., and Colman, S. (2001). “Generated traffic.” ITE J., 71(4), 38–47.
Lucas, K. (2006). “Providing transport for social inclusion within framework for environmental justice in UK.” Transp. Res. Part A, 40, 801–809.
National Institute of Population and Social Security Research (NIPSSR). (2007). Population projections for Japan 2001–2050. NIPSSR. Tokyo.
Ory, D., and Mokhtarian, P. (2005). “When is getting there half the fun?” Transp. Res. Part A, 39, 97–123.
Ripley, B. (1999). Pattern recognition and neural networks. Cambridge Univ. Press, London.
Salomon, I., and Mokhtarian, P. (1998). “What happens when mobility-inclined market segments face accessibility enhancing policies?” Transp. Res. Part D, 3(3), 129–140.
Schmocker, J., Quddus, M., Noland, R., and Bell, M. (2005). “Estimating trip generation of elderly and disabled people.” Transp. Res. Rec., 1924, 9–18.
Schonfelder, S., and Axhausen, K. (2003). “Activity spaces.” Transp. Policy, 10, 273–286.
Social Exclusion Unit (SEU). (2001). Preventing social exclusion, Cabinet Office, London.
SPSS Statistics 19.0.0 [Computer software]. Chicago, IBM.
Srinavasan, S., and Ferreira, J. (2002). “Travel behavior at the household level.” Transp. Res. Part D, 7, 225–242.
Wu, B., and Hine, J. (2003). “A PTAL approach to measuring changes in bus service accessibility.” Transp. Policy, 10, 307–320.
Yigitcanlar, T., Fabian, L., and Coiacetto, E. (2008). “Challenges to urban transport sustainability and smart transport in a tourist city.” Open Transp. J., 2, 19–36.
Yigitcanlar, T., Sipe, N., Evans, R., and Pitot, M. (2007). “A GIS-based land use and public transport accessibility indexing model,” Aust. Planner, 44(3), 30–37.
Information & Authors
Information
Published In
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Dec 25, 2008
Accepted: Jun 7, 2010
Published online: Jun 10, 2010
Published in print: Mar 1, 2011
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.