Estimation of Business Car Trip Generation
Tsuna Sasaki, Kazuo Nishii
Abstract
Tsuna Sasaki, Kazuo Nishii
Abstract
In this paper a model for the estimation of business car trip generation is presented based on a trip chaining analysis. Business car trip chains, where a change of trip purpose from business to another purpose is hardly seen, have several typical travel patterns. In this study, the number of trips in one place at one time has been investigated empirically and theoretically. Through the empirical exploration, the probability of the number of trips in one place at one time have been clarified to be approximated by an exponential curve with a tendency that the probability decreases with the increaser of the number of trips. Also, by comparing the exponential curves obtained for various industries it is possible to find the differences of the travel patterns among industries. On the other hand, these curves can be expressed explicitly based on a theoretical analysis of the travel behavior of the business car trip chains under some assumptions. These assumptions may be reasonable, if a travel pattern is considered as a stochastic process. However, in the test with practical examples, both the average probability of returning to one’s bases and that of making additional cycle did not have constant value in a satisfactory manner.
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In this paper a model for the estimation of business car trip generation is presented based on a trip chaining analysis. Business car trip chains, where a change of trip purpose from business to another purpose is hardly seen, have several typical travel patterns. In this study, the number of trips in one place at one time has been investigated empirically and theoretically. Through the empirical exploration, the probability of the number of trips in one place at one time have been clarified to be approximated by an exponential curve with a tendency that the probability decreases with the increaser of the number of trips. Also, by comparing the exponential curves obtained for various industries it is possible to find the differences of the travel patterns among industries. On the other hand, these curves can be expressed explicitly based on a theoretical analysis of the travel behavior of the business car trip chains under some assumptions. These assumptions may be reasonable, if a travel pattern is considered as a stochastic process. However, in the test with practical examples, both the average probability of returning to one’s bases and that of making additional cycle did not have constant value in a satisfactory manner.
Key concepts: TRIPS architecture, Trip generation, Econometrics, Chaining, Exponential function, Estimation, Computer science, Mathematics