Info-participation of the Disabled Using the Mixed Preference Data in Improving Their Travel Quality
Today, the preferences and participation of the TD groups such as the elderly and disabled is still lacking in decision-making of transportation planning, and their reactions to certain type of policies are not well known. Thus, a clear methodology is needed. This study aimed to develop a method to extract the preferences of the disabled to be used in the policy-making stage that can also guide to future estimations. The method utilizes the combination of cluster analysis and data filtering using the data of the Arao city (Japan). The method is a process that follows: defining the TD group by the cluster analysis tool, their travel preferences in tabular form from the household surveys by policy variableimpact pairs, zones, and by trip purposes, and the final outcome is the preference probabilities of the disabled. The preferences vary by trip purpose; for the work trips, accessibility and transit system quality policies with the accompanying impacts of modal shifts towards public mode use as well as the decreasing travel costs, and the trip rate increase; for the social trips, the same accessibility and transit system policies leading to the same mode shift impact, together with the travel quality policy area leading to trip rate increase. These results explain the policies to focus and can be used in scenario generation in models, or any other planning purpose as decision support tool.
[1] R. P. Barter , "Transport and Urban Poverty in Asia: A Brief
Introduction to the Key Issues", UNCHS (Habitat) Regional Symposium
on Urban Poverty in Asia, Fukuoka, 27-29 October , 1998.
[2] J. Fitzgerald, D. Shaunesey, S. Stern, "The effect of education programs
on paratransit demand of people with disabilities", Transportation
Research Part A, Vol. 34, pp. 261-285, 2000.
[3] Transit Cooperative Research Program (TCRP). "Strategies to Increase
Coordination of Transportation Services for the Transportation
Disadvantaged", Transportation Research Board of National Academies,
Rep. No. 105, Washington D.C., 2004.
[4] C. G. B. Mitchell, "Intelligent Transportation Systems (ITS)
Applications for Improving Transportation for Elderly and Disabled
Travellers", (Report TP 12925E) Transportation Development Centre,
January, 1997.
[5] Y. Duvarci and T. Yigitcanlar, "Integrated modeling approach for the
transportation disadvantaged." J. of Urban Planning and Development,
Vol. 133, N. 3, pp.188-200, 2007.
[6] J. Hine and F. Mitchell, Transport Disadvantage and Social Exclusion,
Ashgate, 2003.
[7] J. Hine and M. Grieco, "Scatters and clusters in time and space:
implications for delivering integrated and inclusive transport." Transport
Journal, Vol. 10, pp. 299-306, 2003.
[8] F. Pennycook, R. Barrington-Crags, D. Smith, and S. Bullock,
Environmental Justice: Mapping Transport and Social Exclusion in
Bradford, Friends of the Earth, 2001. Available:
http://www.foe.co.uk/resource/reports/env_justice_bradford.pdf
[9] A. Church, M. Frost, and K. Sullivan, "Transport and social exclusion in
London." Transport Policy, Vol. 7, N.3, July, pp.195-205, 2000.
[10] Social Exclusion Unit Making the Connections: Final Report on
Transport and Social Exclusion, Office of the Deputy Prime Minister,
2003. Available: http://www.socialexclusionunit.gov.uk
[11] A. Gilbert, "Bus Rapid Transit: Is Transmilenio a Miracle Cure?",
Transport Reviews, Vol. 28, N.4, pp. 439 - 467, 2008.
[12] K. Lucas, "Providing transport for social inclusion within framework for
environmental justice in UK." Transportation Research: Part A, Vol.
40, pp. 801-809, 2006.
[13] D. Banister, Transport Planning. London: E & FN Spon, 2002.
[14] J. Dodson, B. Gleeson, and N. Sipe, "Transport disadvantage and social
status: A review of literature and methods" (Report). Urban Policy
Program, Griffith Univ., Dec., 2004.
[15] White Paper. The Future of Transport: A Network for 2030 (Report by
Department for Transport) July, London, 2004.
[16] M. S. Grieco, "Transport and social exclusion: New policy grounds, new
policy options." 10th International Conference on Travel Behaviour
Research, Lucerne, August, 2003.
[17] E. B. Sharp, Urban Politics and Administration, New York: Longman,
1990.
[18] P. L. Mokhtarian, I. Salomon, and S. L. Handy, "The impacts of ICT on
leisure activities and travel: A conceptual exploration" Transportation,
Vol. 33, pp.263-289, 2006.
[19] Y. Duvarc─▒ and S. Mizokami, "What if the suppressed travel demands of
the transport disadvantaged were released: Results of simulation
approach", Journal of EASTS, Vol. 7. pp. 1433-1445, 2007.
[20] C. Nicolle and B. Peters, "Elderly and Disabled Travellers: Intelligent
Transportation Systems Designed for the Third Millenium",
Transportation Human Factors, Vol. 1, N.2, pp.121-134, 1999.
[21] P. Bearse, S. Gurmu, C. Rapaport, and S. Stern, "Paratransit demand of
disabled people", Transportation Research Part B, Vol.38, pp. 809-831,
2004.
[22] S. L. Suen, and C. G. B. Mitchell, Accessible Transportation and
Mobility: Transport in the New Millennium, Washington D.C., 2000.
[23] G. L. Thompson, "New insights into the value of transit: modeling
inferences from Dade County" Transportation Research Record 1753,
no. 01-2229, pp. 52-58, 2001.
[24] R. Ewing, M. DeAnna, and S. Li, "Land use impacts on trip generation
rates." Transportation Research Record 1518, pp. 1-6, 1996.
[25] S. Lam, and F. Xie, "Transit path-choice models that use revealed
preference and stated preference data" Transportation Research Board
1799, no. 02-3052, pp. 58-65, 2002.
[26] Y. Alver, and S. Mizokami "A combined RP/SP route choice study
between expressways and ordinary roads by using route choice survey-s
data" JSCE Infrastructure Planning Review, Vol. 23, N.2, pp. 521-532,
2006.
[27] B. Ripley, Pattern recognition and neural networks, Cambridge:
Cambridge University Press, U.K., 1999.
[28] T. Hauser, W. Scherer, and B. Smith, "Signal system data mining."
Studies, Charlottesville, Va: University of Virginia Press, 2000.
[29] J. Smith and M. Saito, "Creating land-use scenarios by cluster analysis
for regional land-use and transportation sketch planning", J. Transp.
Stat., Vol. 4, N.1, pp. 39-51, 2001.
[30] B. Everitt, Cluster analysis, London: Oxford University Press, 1993.
[1] R. P. Barter , "Transport and Urban Poverty in Asia: A Brief
Introduction to the Key Issues", UNCHS (Habitat) Regional Symposium
on Urban Poverty in Asia, Fukuoka, 27-29 October , 1998.
[2] J. Fitzgerald, D. Shaunesey, S. Stern, "The effect of education programs
on paratransit demand of people with disabilities", Transportation
Research Part A, Vol. 34, pp. 261-285, 2000.
[3] Transit Cooperative Research Program (TCRP). "Strategies to Increase
Coordination of Transportation Services for the Transportation
Disadvantaged", Transportation Research Board of National Academies,
Rep. No. 105, Washington D.C., 2004.
[4] C. G. B. Mitchell, "Intelligent Transportation Systems (ITS)
Applications for Improving Transportation for Elderly and Disabled
Travellers", (Report TP 12925E) Transportation Development Centre,
January, 1997.
[5] Y. Duvarci and T. Yigitcanlar, "Integrated modeling approach for the
transportation disadvantaged." J. of Urban Planning and Development,
Vol. 133, N. 3, pp.188-200, 2007.
[6] J. Hine and F. Mitchell, Transport Disadvantage and Social Exclusion,
Ashgate, 2003.
[7] J. Hine and M. Grieco, "Scatters and clusters in time and space:
implications for delivering integrated and inclusive transport." Transport
Journal, Vol. 10, pp. 299-306, 2003.
[8] F. Pennycook, R. Barrington-Crags, D. Smith, and S. Bullock,
Environmental Justice: Mapping Transport and Social Exclusion in
Bradford, Friends of the Earth, 2001. Available:
http://www.foe.co.uk/resource/reports/env_justice_bradford.pdf
[9] A. Church, M. Frost, and K. Sullivan, "Transport and social exclusion in
London." Transport Policy, Vol. 7, N.3, July, pp.195-205, 2000.
[10] Social Exclusion Unit Making the Connections: Final Report on
Transport and Social Exclusion, Office of the Deputy Prime Minister,
2003. Available: http://www.socialexclusionunit.gov.uk
[11] A. Gilbert, "Bus Rapid Transit: Is Transmilenio a Miracle Cure?",
Transport Reviews, Vol. 28, N.4, pp. 439 - 467, 2008.
[12] K. Lucas, "Providing transport for social inclusion within framework for
environmental justice in UK." Transportation Research: Part A, Vol.
40, pp. 801-809, 2006.
[13] D. Banister, Transport Planning. London: E & FN Spon, 2002.
[14] J. Dodson, B. Gleeson, and N. Sipe, "Transport disadvantage and social
status: A review of literature and methods" (Report). Urban Policy
Program, Griffith Univ., Dec., 2004.
[15] White Paper. The Future of Transport: A Network for 2030 (Report by
Department for Transport) July, London, 2004.
[16] M. S. Grieco, "Transport and social exclusion: New policy grounds, new
policy options." 10th International Conference on Travel Behaviour
Research, Lucerne, August, 2003.
[17] E. B. Sharp, Urban Politics and Administration, New York: Longman,
1990.
[18] P. L. Mokhtarian, I. Salomon, and S. L. Handy, "The impacts of ICT on
leisure activities and travel: A conceptual exploration" Transportation,
Vol. 33, pp.263-289, 2006.
[19] Y. Duvarc─▒ and S. Mizokami, "What if the suppressed travel demands of
the transport disadvantaged were released: Results of simulation
approach", Journal of EASTS, Vol. 7. pp. 1433-1445, 2007.
[20] C. Nicolle and B. Peters, "Elderly and Disabled Travellers: Intelligent
Transportation Systems Designed for the Third Millenium",
Transportation Human Factors, Vol. 1, N.2, pp.121-134, 1999.
[21] P. Bearse, S. Gurmu, C. Rapaport, and S. Stern, "Paratransit demand of
disabled people", Transportation Research Part B, Vol.38, pp. 809-831,
2004.
[22] S. L. Suen, and C. G. B. Mitchell, Accessible Transportation and
Mobility: Transport in the New Millennium, Washington D.C., 2000.
[23] G. L. Thompson, "New insights into the value of transit: modeling
inferences from Dade County" Transportation Research Record 1753,
no. 01-2229, pp. 52-58, 2001.
[24] R. Ewing, M. DeAnna, and S. Li, "Land use impacts on trip generation
rates." Transportation Research Record 1518, pp. 1-6, 1996.
[25] S. Lam, and F. Xie, "Transit path-choice models that use revealed
preference and stated preference data" Transportation Research Board
1799, no. 02-3052, pp. 58-65, 2002.
[26] Y. Alver, and S. Mizokami "A combined RP/SP route choice study
between expressways and ordinary roads by using route choice survey-s
data" JSCE Infrastructure Planning Review, Vol. 23, N.2, pp. 521-532,
2006.
[27] B. Ripley, Pattern recognition and neural networks, Cambridge:
Cambridge University Press, U.K., 1999.
[28] T. Hauser, W. Scherer, and B. Smith, "Signal system data mining."
Studies, Charlottesville, Va: University of Virginia Press, 2000.
[29] J. Smith and M. Saito, "Creating land-use scenarios by cluster analysis
for regional land-use and transportation sketch planning", J. Transp.
Stat., Vol. 4, N.1, pp. 39-51, 2001.
[30] B. Everitt, Cluster analysis, London: Oxford University Press, 1993.
@article{"International Journal of Architectural, Civil and Construction Sciences:59515", author = "Y. Duvarci and S. Mizokami", title = "Info-participation of the Disabled Using the Mixed Preference Data in Improving Their Travel Quality", abstract = "Today, the preferences and participation of the TD groups such as the elderly and disabled is still lacking in decision-making of transportation planning, and their reactions to certain type of policies are not well known. Thus, a clear methodology is needed. This study aimed to develop a method to extract the preferences of the disabled to be used in the policy-making stage that can also guide to future estimations. The method utilizes the combination of cluster analysis and data filtering using the data of the Arao city (Japan). The method is a process that follows: defining the TD group by the cluster analysis tool, their travel preferences in tabular form from the household surveys by policy variableimpact pairs, zones, and by trip purposes, and the final outcome is the preference probabilities of the disabled. The preferences vary by trip purpose; for the work trips, accessibility and transit system quality policies with the accompanying impacts of modal shifts towards public mode use as well as the decreasing travel costs, and the trip rate increase; for the social trips, the same accessibility and transit system policies leading to the same mode shift impact, together with the travel quality policy area leading to trip rate increase. These results explain the policies to focus and can be used in scenario generation in models, or any other planning purpose as decision support tool.
", keywords = "Transportation Disadvantaged, Disabled, Mixed Preference, Stated Preference Data.", volume = "2", number = "12", pages = "285-11", }
