Volume List  / Volume 6 (1)

Article

SPATIAL TRANSIT ACCESSIBILITY MODELING OF INDIAN METROPOLITAN CITY IN GIS ENVIRONMENT

DOI: 10.7708/ijtte.2016.6(1).05


6 / 1 / 51-62 Pages

Author(s)

Manjurali Imadadali Balya - Sardar Vallabhbhai National Institute of Technology, Surat, India -

Bhimaji Krishnaji Katti - Sardar Vallabhbhai National Institute of Technology, Surat, India -

Krishna Saw - Sardar Vallabhbhai National Institute of Technology, Surat, India -


Abstract

With increase in city size and population in developing country like India, the travel demand is increasing very fast which calls for an efficient and effective transit to fulfill the demand of travelling public. The transit accessibility is one of the most alarming factors of the increased urbanized areas of these cities. The case study presented the spatial transit accessibility index modeling with due consideration factors viz. walking distance and walking time of the study area. The spatial accessibility is measured on the basis of home interview data and as well on GIS base to develop “Accessibility Catchments” through buffering process for different accessibility scales of radius of 250m, 350m etc. The catchment areas marked provide the scope to identify “Accessibility Thirst Areas”. The research work further addresses the development of proposed LOS for both distance and time units. The transit accessibility index modeling and proposed LOS of the present study shows the promising results and can apply to the same sized urban cities. These findings presented in the paper are case specific and can be apply as a base for finding the spatial accessibility status for metropolitan cities.


Download Article

Number of downloads: 2088


References:

Al Mamun, M.S.; Lownes, N.E. 2011. A composite index of public transit accessibility, Journal of Public Transportation, 14(2): 69-87.

 

Arentze, T.A.; Borgers, A.W.; Timmermans, H.J. 1994. Multistop-based measurements of accessibility in a GTS environment, International Journal of Geographical Information Systems, 8(4): 343-356.

 

Cervero, R. 2001. Walk-and-ride: factors influencing pedestrian access to transit, Journal of Public Transportation, 7(3): 1-23.

 

Dalvi, M.Q.; Martin, K. 1976. The measurement of accessibility: some preliminary results, Transportation, 5(1): 17-42.

 

Demetsky, M.J.; Lin, B.B.-M. 1982. Bus stop location and design, Journal of Transportation Engineering, 108(TE4): 313-327.

 

Dong, X.; Ben-Akiva, M.E.; Bowman, J.L.; Walker, J.L. 2006. Moving from trip-based to activity-based measures of accessibility, Transportation Research Part A: Policy and Practice, 40(2): 163-180.

 

Foda, M.A.; Osman, A.O. 2010. Using GIS for measuring transit stop accessibility considering actual pedestrian road network, Journal of Public Transportation, 13(4): 23-40.

 

Geertman, S.C.; Ritsema Van Eck, J.R. 1995. GIS and models of accessibility potential: an application in planning, International Journal of Geographical Information Systems, 9(1): 67-80.

 

Gutiérrez, J.; García-Palomares, J.C. 2008. Distance-measure impacts on the calculation of transport service areas using GIS, Environment and Planning B: Planning and Design, 35(3): 480-503.

 

Gutiérrez, J.; Monzon, A.; Piñero, J.M. 1998. Accessibility, network efficiency, and transport infrastructure planning, Environment and Planning A, 30(8): 1337-1350.

 

Halden, D.; McGuigan, D.; Nisbet, A.; McKinnon, A. 2000. Accessibility: Review of measuring techniques and their application.

 

Hansen, W.G. 1959. How accessibility shapes land use, Journal of the American Institute of Planners, 25(2): 73-76.

 

Ingram, D.R. 1971. The concept of accessibility: a search for an operational form, Regional Studies, 5(2): 101-107.

 

Juliao, R.P. 1999. Measuring accessibility using GIS. In Proceedings of GeoComputation99, Fourth International Conference on Geo Computation, Fredericksburg, USA, 25-28.

 

Kwan, M.P. 1998. Space time and integral measures of individual accessibility: a comparative analysis using a point based framework, Geographical Analysis, 30(3): 191-216.

 

Levinson, H.S.; Brown-West, O. 1984. Estimating bus ridership, Transportation Research Record, 994: 8-12.

 

Levinson, H.S. 1992. Urban Mass Transit Systems. In Edwards, J.D. (ed.), Transportation Planning Handbook. Prentice Hall, New Jersey.

 

Loutzenheiser, D. 1997. Pedestrian access to transit: Model of walk trips and their design and urban form determinants around Bay Area Rapid Transit stations, Transportation Research Record, 1604: 40-49.

 

Mitchell, C.; Stokes, R. 1982. Walking as a Mode of Transport. 24 p.

 

Murray, A.T. 2010. Advances in location modeling: GIS linkages and contributions, Journal of Geographical Systems, 12(3): 335-354.

 

Murray, A.T.; Davis, R.; Stimson, R.J.; Ferreira, L. 1998. Public transportation access, Transportation Research Part D: Transport and Environment, 3(5): 319-328.

 

O'Sullivan, D.; Morrison, A.; Shearer, J. 2000. Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach, International Journal of Geographical Information Science, 14(1): 85-104.

 

O'Sullivan, S.; Morrall, J. 1996. Walking distances to and from light-rail transit stations, Transportation Research Record, 1538: 19-26.

 

Odoki, J.B.; Kerali, H.R.; Santorini, F. 2001. An integrated model for quantifying accessibility-benefits in developing countries, Transportation Research Part A: Policy and Practice, 35(7): 601-623.

 

Pikora, T.; Giles-Corti, B.; Donovan, R. 2001. How far will people walk to facilities in their local neighbourhoods?. In Proceedings of Australia: Walking the 21st Century, International Conference, Perth, Western Australia, Vol 3.

 

Polzin, S.; Chu, X.; Rey, J. 2000. Density and captivity in public transit success: observations from the 1995 nationwide personal transportation study, Transportation Research Record, 1735: 10-18.

 

Pred, A. 1977. The choreography of existence: comments on Hägerstrand's time-geography and its usefulness, Economic Geography, 53(2): 207-221.

 

Rudnicki, A. 1999. Equivalent travel time of passengers as a synthetic performance measure in urban public transport. In Proceedings from the 2nd KFB-Research Conference on Urban Transport Systems, 174-183.

 

Salvo, G.; Sabatini, S. 2005. A GIS approach to evaluate bus stop accessibility. In Proceedings of Advanced OR and AI Methods in Transportation, 284-289.

 

Shen, Q. 1998. Location characteristics of inner-city neighborhoods and employment accessibility of low-wage workers, Environment and Planning B: Planning and Design, 25(3): 345-365.

 

Stringham, M. 1982. Travel behavior associated with land uses adjacent to rapid transit stations, ITE Journal, 52(4): 18-22.

 

Van Eck, J.R.; De Jong, T. 1999. Accessibility analysis and spatial competition effects in the context of GIS-supported service location planning, Computers, Environment and Urban Systems, 23(2): 75-89.

 

Wibowo, S.S.; Olszewski, P. 2005. Modeling walking accessibility to public transport terminals: Case study of Singapore mass rapid transit, Journal of the Eastern Asia Society for Transportation Studies, 6: 147-156.

 

Zhao, F.; Chow, L.-F.; Li, M.-T.; Ubaka, I.; Gan, A. 2003. Forecasting transit walk accessibility: regression model alternative to buffer method, Transportation Research Record, 1835: 34-41.