Development of Regional Industrial Trip Generation Model

Background/Objectives: The aim of this research work is to determine the factors affecting trip generation for the selected groups of industries within the region and to develop trip generation model. Methods/Statistical Analysis: To develop trip generation model considering all the affecting parameters for the future trips estimation, the industries are classified based on the plot area and numbers of employee. The model has been developed using several regression analyses by means of Statistical Package for the Social Sciences (SPSS), which establishes relationship between number of trips each activity produce or attract by the employees and their socioeconomic attributes. Findings: A general model for trip generation has been developed. The model result gave an effective value of R2 equal to 0.99, indicating that the explanatory variables such as area of industries, income of employee, travel distance, travel time and travel cost included in the model explain 99% of the dependent variable. Travel cost and travel time are the main factors affecting trip generation. Applications/Improvements: A more detailed research work is necessary to use this model for planning purpose. Reliable forecasting of future trips using this model can be done.

[1]  Trip generation model development for Albany , 2008 .

[2]  Charles L Purvis,et al.  Incorporating Work Trip Accessibility in Nonwork Trip Generation Models in San Francisco Bay Area , 1996 .

[3]  P. Bloomfield,et al.  Trip Generation Models Using Cumulative Logistic Regression , 2013 .

[4]  Tammam Zaki Nakkash,et al.  ACTIVITY-ACCESSIBILITY MODELS OF TRIP GENERATION , 1972 .

[5]  Tae Youn Jang,et al.  Count Data Models for Trip Generation , 2005 .

[6]  Ryuichi Kitamura,et al.  Recursive Model System for Trip Generation and Trip Chaining , 1991 .

[7]  James M Daisa,et al.  Trip Generation Rates for Urban Infill Land Uses in California , 2009 .

[8]  A. Soltani,et al.  The Influence of Urban Physical form on Trip Generation, Evidence from Metropolitan Shiraz, Iran , 2011 .

[9]  Jen-Jia Lin,et al.  Built environment effects on leisure travel for children: Trip generation and travel mode , 2011 .

[10]  Hsing-Chung Chu,et al.  Empirical Method for Predicting Internal-External Truck Trips at a Major Port , 2011 .

[11]  Tomasz Kulpa,et al.  Freight Truck Trip Generation Modelling at Regional Level , 2014 .

[12]  G R Leake,et al.  TRIP GENERATION OF SELECTED INDUSTRIAL GROUPS , 1979 .

[13]  Mohamed Rehan Karim.  Comparison of Regression Model and Category Analysis (A case study) , 1997 .

[14]  Jesus Gonzalez-Feliu,et al.  End consumer goods movement generation in French medium urban areas , 2010 .

[15]  Abhishek Agarwal,et al.  Application of fuzzy logic to model trip generation phase of sequential travel demand analysis , 2012 .