 Generalized power model for trip distributionB. Ashtakala Transportation Research Part B: Methodological, 1987, vol. 21, issue 1, 59-67 Abstract: In this paper a trip distribution model is proposed, based on the concepts of conventional trip distribution, linear regression analysis and power transformation on the independent variable. The proposed model takes into consideration the relationship between trips from an origin to a destination (dependent variable) and attraction of the destination (independent variable). Regression analysis is used to determine the parameters of the relationship which is optimized by varying the power parameter. Regression parameters and the optimum power parameter are used in formulating the trip distribution model. The functional form of the proposed model has a generalized application. Distinctive models can be derived from the generalized model by using appropriate independent variables to suit the given data. Therefore, this model is termed as Generalized Power model for trip distribution. In this paper two typical applications of the model are given as examples. Both models have been developed using cordon origin-destination (O-D) survey data of Red Deer in Alberta. The paper includes discussion of results and conclusions. Date: 1987 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:21:y:1987:i:1:p:59-67 Ordering information: This journal article can be ordered from Access Statistics for this article Transportation Research Part B: Methodological is currently edited by Fred Mannering More articles in Transportation Research Part B: Methodological from Elsevier |
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