Abstrakt

PREDICTION OF TRIP ATTRACTION BASED ON COMMERCIAL LAND USE CHARACTERISTICS

Pretina George, Gymmy Joseph Kattor, Abdul Malik K.V.

This paper presents an analysis of trip attraction characteristics of the commercial nodes in medium sized towns of Kerala. The study aims to provide a trip attraction model using multiple regression, that is able to predict the trip attracted to any commercial nodes in the medium sized towns in Kerala. Using questionnaire survey, characteristics of the eight selected commercial nodes from the three medium sized towns Tirur, Perinthalmanna, and Ponnani in Kerala are found out. Socioeconomic surveys are conducted for the selected towns for getting the origin-destination data. Based on these surveyed data, correlation and regression analysis are performed. The study showed that the multiple regression model with the independent variables, the number of employees and percentage of office in the commercial node (Adjusted R2 = 0.9997) gives the better estimate of trip attraction. This model should be useful for estimating the trips attracted to a new or existing commercial center in any medium sized towns in Kerala, to assess the traffic impact of the commercial center on the geometric design of roadways in the surrounding area

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

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Hamdard-Universität
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