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Article

AB TEMPORAL TRIP GENERATION MODELLING FOR PRIMARY ACTIVITIES: A CASE STUDY OF FAST GROWING METROPOLITAN CITY

DOI: 10.7708/ijtte.2015.5(2).04


5 / 2 / 120-133 Pages

Author(s)

Krishna Saw - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -

Bhimaji K. Katti - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -

Gaurang J. Joshi - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -


Abstract

Transportation planning for any city evolves on the basis of complex interplay between urban activity, transport and land use system to result in varied travel patterns. Travel pattern can be defined at micro level to include individual journey departure and arrival time, journey duration and distances to make way for temporal trip generation and distribution from specific area. Trip generation is the first step of four stages of travel forecasting analysis mostly followed all over the world. Traditionally, it is focused on the prediction of aggregate trip generation by a household rather than the choice of individual activity participation. However, spatial and temporal activity domains are equally important in forecasting process and strategic urban transportation planning. The present paper attempts to develop Activity Based (AB) Temporal Trip Generation Models (ABTGM) for primary activities to cover work and educational trips considering fast growing Surat city of Gujarat, India as study area. Home interview surveys are carried to provide household and socioeconomic characteristics and the activity travel diary information to focus on the activity based tours rather the trips.


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References:

Bhat, C.R.; Koppelman, F.S. 2003. Activity-Based Modeling of Travel Demand, Second Edition, Kluwer Academic publisher, New York.

 

Bhat, C.R.; Singh, S.K. 2000. A Comprehensive Daily Activity-Travel Generation Model System for Workers, Transportation Research Part A: Policy and Practice. DOI: http://dx.doi.org/10.1016/S0965-8564(98)00037-8, 34(1): 1-22.

 

Bowman, J.L. 1998. The Day Activity Schedule Approach to Travel Demand Analysis, PhD Dissertation Report, Massachusetts Institute of Technology.

 

Bowman, J.L.; Ben-Akiva, M.E. 2000. Activity-Based Disaggregate Travel Demand Model System with Activity Schedules, Transportation Research Part A: Policy and Practice. DOI: http://dx.doi.org/10.1016/S0965-8564(99)00043-9, 35(1): 1-28.

 

Davidson, W.; Donnelly, R.; Vovsha, P.; Freedman, J.; Ruegg, S.; Hicks, J.; Castiglione, J.; Picado, R. 2007. Synthesis of First Practices and Operational Research Approaches in Activity-Based Travel Demand Modelling, Transportation Research Part A: Policy and Practice. DOI: http://dx.doi.org/10.1016/j.tra.2006.09.003, 41(5): 464-488.

 

Jovicic, G. 2001. Activity based travel demand modelling-a literature study, Danmarks Transport Forskning.

 

McNally, M.G.; Rindt, C.R. 2007. The Activity-Based Approach, Institute of Transportation Studies, University of California, Irvine.

 

Pendyala, R. 2002. Time of day modelling procedure for implementation in FSUTMS, Final Report, Research Centre Florida Department of Transportation.

 

Ruey, M.W. 1997. An Activity-Based Trip Generation Model, PhD Unpublished Dissertation, University of Califronia Irvine.

 

Yagi, S.; Mohammadin, A. 2010. An Activity–Based Micro Simulation Model of Travel Demand in the Jakarata Metropolitan Area, Journal of Choice Modelling. DOI: http://dx.doi.org/10.1016/S1755-5345(13)70028-9, 3(1): 32-57.