Activity and purpose based trip making studies are gaining popularity in current transportation research industry. The purpose is determined by activity one is to engage in at the destination of the trip. The trip purpose can be influenced by several factors, in which mainly are social economic. Transportation planners need to know the effect foresee the future origin and destination of certain community based on the household and surrounding social economic data. Based on the importance of determining the effect of trip purpose, this study applies multinomial modeling approach to evaluate various factors which determine purpose based trip. The findings from this study can be used during preliminary feasibility or planning study in determining the expected number of trips. The study utilizes trip data from the 2001 National Household Travel Survey (NHTS). Home base and non-home based work, school, shopping, family, social and religious driven trips are modeled by using different social economic variables. Multinomial logit (MNL) and multinomial probit (MNP) models are used in this study in determining the effect of the variables, due to their capability of modeling multivariate discrete response variables and flexibility of studying effect of the variables for each trip purpose model developed. The modeling result showed the presence of more number of workers in the house to influence each trip purpose mentioned. Lifecycle which classifies each household member as adult or child and retirement status appeared to influence school, family and social related trips. The families with small children were found to make fewer trips compared to those with grown up children and retired people. Individual income in the household affect much trips related to shopping, work, and social. Weekdays and rush hours have positive relation with work and school trips but negatively related to shopping, family and social trip purposes. The MNL and MNP models yield the similar results in terms of the sign and magnitude of the coefficients. However the standard errors in MNP are seen to be tighter than those in MNL. Moreover, many variables appeared to be non-significant in MNP compared to MNL.


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    Titel :

    Multinomial Modeling of Purpose Driven Trip


    Beteiligte:
    Penn, M. (Autor:in) / Vargas, F. (Autor:in) / Chimba, D. (Autor:in)

    Kongress:

    Transportation Land Use, Planning, and Air Quality Congress 2007 ; 2007 ; Orlando, Florida, United States



    Erscheinungsdatum :

    15.05.2008




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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