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Transportation Letters
The International Journal of Transportation Research
Volume 6, 2014 - Issue 2
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Original Articles

Comparative analysis of trip generation models: results using home-based work trips in the Seoul metropolitan area

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Pages 78-88 | Received 15 Oct 2013, Accepted 17 Jan 2014, Published online: 13 Feb 2014

References

  • Agyemang-Duah K. and Hall F. L.. 1997. Spatial transferability of an ordered response model of trip generation, Transp. Res. A Policy Pract., 31, 389–402.
  • Badoe D. A.. 2007. Forecasting travel demand with alternatively structured models of trip frequency, Transp. Plann. Technol., 30, 455–475.
  • Bastida C. and Holguin-Veras J.. 2009. Freight generation models, Transp. Res. Rec. J. Transp. Res. Board., 2097, 51–61.
  • Barmby T. and Doornik J.. 1989. Modelling trip frequency as a Poisson variable, J. Transp. Econ. Policy, 309–315.
  • Cambridge Systematics, Inc. 2010. Travel model validation and reasonableness checking manual, 2nd edn, Travel Model Improvement Program, Federal Highway Administration, Washington DC, US.
  • Committee for Determination of the State of the Practice in Metropolitan Area Travel Forecasting. 2007. Metropolitan travel forecasting – current practice and future direction, Special Report 288, Transportation Research Board, Washington, DC.
  • Cotrus A., Prashker J. and Shiftan Y.. 2005. Spatial and temporal transferability of trip generation demand models in Israel, J. Transp. Stat., 8, 37–56.
  • Daly A.. 1997. Improved methods for trip generation, Transportation Planning Methods Volume 11, Proceedings of Seminar F held at PTRC European Transport Forum, Brunel University, England, 207–222.
  • Donnelly R., Erhardt G., Moeckel R. and Davidson W.., 2010. Advanced practices in travel forecasting, National Cooperative Highway Research Program Synthesis 406, Transportation Research Board, Washington DC, US.
  • Greene W. H.. 2000. Econometric analysis, 4th edn, London, Prentice Hall International, Inc.
  • Jang T. Y.. 2005. Count data models for trip generation, J. Transp. Eng., 131, 444–450.
  • Kohavi R.. 1995. A study of cross-validation and bootstrap for accuracy estimation and model selection, the 14th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 1137–1145.
  • Lim K. and Srinivasan S.. 2011. Comparative analysis of alternate econometric structures for trip generation models, Transp. Res. Rec., 2254, 68–78.
  • Ma J. and Goulias K. G.. 1999. Application of Poisson regression models to activity frequency analysis and prediction, Transp. Res. Rec. J. Transp. Res. Board, 1676, 86–94.
  • McNally M. G. and Rindt C. R.. 2007. The activity-based approach, in Handbook of transport modelling, (eds. Hensher D. A. and Button K. J.), Amsterdam, Netherlands, Elsevier Science Ltd, pp. 55–74.
  • Ortúzar J. and Willumsen L. G.. 2011. Modelling transport, 4th edn, Chichester, West Sussex, UK, Wiley.
  • Papacostas C. S. and Prevedouros P. D.. 2001. Transportation engineering and planning, Upper Saddle River, NJ, USA, Prentice Hall.
  • Picard R. R. and Cook R. D.. 1984. Cross-validation of regression models, J. Am. Stat. Assoc., 79, 575–583.
  • Roorda M. J., Páez A., Morency C., Mercado R. and Farber S.. 2010. Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach, Transportation, 37, 525–548.
  • Schmöcker J. D., Quddus M. A., Noland R. B. and Bell MGH. 2005. Estimating trip generation of elderly and disabled people: analysis of London data, Transp. Res. Rec., 1924, 9–18.
  • Sheffi Y.. 1979. Estimating choice probabilities among nested alternatives, Transp. Res. B Methodol., 13, 189–205.
  • Stopher P. and McDonald K.. 1983. Trip generation by cross-classification: an alternative methodology, Transp. Res. Rec., 944, 84–91.
  • Train K. E.. 2009. Discrete choice methods with simulation, 2nd edn, New York, NY, USA, Cambridge University Press.
  • Wallace B., Mannering F. and Rutherford G. S.. 1999. Evaluating effects of transportation demand management strategies on trip generation by using Poisson and negative binomial regression, Transp. Res. Rec. J. Transp. Res. Board, 1682, 70–77.