Forecasting Trip Production Based on Residential Land Use Characteristics
Padmini A.K.1, Abdul Malik K.V.2, Leena Samuel Panackel3
1Dr. Padmini A.K, Department of Civil Engineering, Rajiv Gandhi Institute of Technology, Kottayam (Kerala), India.
2Mr. Abdul Malik K.V, Department of Town and Country Planning, Malappuram (Kerala), India.
3Ms. Leena Samuel Panackel, Department of Civil Engineering, Rajiv Gandhi Institute of Technology, Kottayam (Kerala), India.
Manuscript received on 10 July 2013 | Revised Manuscript received on 18 July 2013 | Manuscript Published on 30 July 2013 | PP: 55-60 | Volume-3 Issue-2, July 2013 | Retrieval Number: B1024073213/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Travel demand forecasting models are the key elements for the development of a long-range transportation plan. This paper focuses its study on the formulation of a trip production model using multiple regression technique for the residential land use in medium sized towns of Kerala. The trip production model estimated the number of trips that will be produced from the residential land use of these medium sized towns. The Perinthalmanna, Tirur, and Ponnani towns of Kerala were selected as the study area based on certain criteria. Household interviews were conducted through the administration of questionnaires for data collection on demographic and socio-economic characteristics these areas. The results were then analyzed quantitatively and qualitatively using the correlation and multiple regression analysis. The study showed that the regression model with the independent variables such as the percentage of automobile availability, percentage of persons employed, percentage of students and percentage of pucca type of dwelling with R2 and Adjusted R2 value of 0.878 and 0.859 respectively gives a better estimate of the trips produced. Since most of the work related to traffic and transportation planning requires an effective framework for the analysis of the present and future travel demand pattern, a model forecasting the trip produced based on the above mentioned characteristics shall be advantageous for a speedy travel demand forecast.
Keywords: Multiple Linear Regression, Residential Land Use, Socio-Economic Characteristics, Trip Production.
Scope of the Article: Residential, Commercial, Industrial and Public Works