Volume List  / Volume 8 (2)



DOI: 10.7708/ijtte.2018.8(2).05

8 / 2 / 198-212 Pages


Krishnapriya Molath Gopi - Civil Engineering Department, Mar Athanasius College of Engineering, Kerala, India -

Soosan George Thanelimalil - Civil Engineering Department, Mar Athanasius College of Engineering, Kerala, India -

Matha Venkata Lakshmi Ranga Anjaneyulu - Civil Engineering Department, National Institute of Technology, Calicut, Kerala, India -


Data collection for transportation studies is a real challenge faced by the researchers and engineers in a developing country. This paper focused on design of travel survey instrument integrating the residential location characteristics, sample design and pilot survey did using household interview method for Kochi region of India. Survey instrument was standardised from initial pilot survey and the modified diary is again tested against nonresponse. Quality of the collected data could be controlled efficiently by using the household interview method and its efficient execution. The response rate of household interview method for data collection was given priority as it has direct influence on the accuracy of the results. From the pilot survey experience it was evident that the response rate of the household interview method can be increased with the help of a response facilitator. Experience and problems faced during the data collection was also discussed.

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The authors sincerely thank the financial support received from Mahatma Gandhi University, Government of Kerala, India. The authors are also grateful to the Mayor and Councillors of Kochi Municipal Corporation and enumerators for supporting the data collection.


Ben-Akiva, M.; Bowman, J. L. 1998. Integration of an activity based model system and residential location model, Urban Studies 35(7): 1131-1153.


Bhat, C.R.; Guo, J.Y. 2006. An Innovative Methodological Framework to Analyze the Impact of Built Environment Characteristics on Activity-Travel Choices. In Conference Proceedings "Innovations in Travel Demand Modeling", Vol. 2, 137-140.


Census of India. 2011a. District Census Handbook Ernakulam, Part XII-A. Government of India. 280 p.


Census of India. 2011b. District Census Handbook Ernakulam, Part XII-B. Government of India. 516 p.


Census of India. 2011c. Analysis of Census Data, Provisional Population Totals. Government of India. 70 p.


Development Plan for Kochi City. 2010. Volume 1: Study and Analysis, Department of Town and Country Planning. Government of Kerala, India. 163 p.


Glickman, I.; Ishaq, R.; Carvel, R.K.; Shiftan, Y. 2015. Integrating activity-based travel-demand models with land-use and other long-term lifestyle decisions, Journal of Transport and Land Use 8(3): 71-93.


Goswami, B.; Kumar, N.A.; George, K.K. 2015. Patterns of commuting for Work, A case study of Kochi city, RULSG Occassional Paper: 5, Research Unit on Local Self Governments, Center for Development Studies, Thiruvanandapuram. Kerala, India. 27 p.


Habib, K.M.N.; Kockelman, M.K. 2008. Modeling the Choice of Residential Location and Home Type: Recent Movers in Austin, Texas. In 87th Annual Meeting of the Transportation Research Board, 17 p.


Kerala Sustainable Urban Development Project. 2005. Final Report. Volume 2: City Report Kochi. Local Self Government Department. Government of Kerala, India. 127 p.


Manoj, M.; Verma, A. 2015. Design and administration of activity-travel diaries: a case study from Bengaluru city in India, Current Science 109: 1264-1272.


Muralidhar, B.; Mathew, T.V.; Dhingra, S.L. 2006. Prototype Time-Space Diary Design and Administration for a Developing Country, Journal of Transportation Engineering 132(6): 489-498.


Nurlaela, S.; Curtis, C. 2012. Modeling household residential location choice and travel behaviour and its relationship with public transport accessibility, Procedia – Social and Behavioural Sciences 54: 56-64.


Paleti, R.; Bhat, C.; Pendyala, R. 2013. Integrated Model of Residential Location, Work Location, Vehicle Ownership, and Commute Tour Characteristics, Transportation Research Record: Journal of the Transportation Research Board 2382: 162-172.


Petersen, E.; Vovsha, P. 2006. Directions of Coordinate Improvement of Travel Surveys and Models. In Proceedings of the Innovations in Travel Demand Modeling, 2: 85-88.


Rastogi, R.; Rao, K.V.K. 2002. Survey Design of Studying Transit Access Behaviour in Mumbai City, India, Journal of Transportation Engineering 128(1): 68-79.


Richardson, A.J.; Ampt, E.S.; Meyburg, A.H. 1995. Survey Methods for Transport Planning. Eucalyptus Press. University of Melbourne. Australia, 475 p.


Rivera, I.M.A.; Tiglano, N.C.C. 2005. Modeling residential location choice, work place location choice and mode choice of two – worker households in metro Manila. In Proceedings of the Eastern Asia Society for Transportation Studies, 5: 1167-1178.


Schirmer, M.P.; Eggermond M.A.B.; Axhausen W. K. 2014. The role of location in residential location choice models: a review of literature, Journal of Transport and Land Use 7(2): 3-21.


Stopher, P.R. 1992. Use of an activity-based diary to collect household travel data, Transportation 19(2): 159-176.


Stopher, P.R.; Greaves, S.P. 2007. Household Travel Surveys: Where are we going?, Transportation Research Part A: Policy and Practice 41(5): 367-381.


Van Wee, B.; Holwerda, H.; Baren, R. 2002. Preferences for Modes, Residential Location and Travel Behaviour: the Relevance for Land-Use Impacts on Mobility, European Journal of Transport and Infrastructure Research 2(3/4): 305-316.