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DIU JOURNAL OF SCIENCE AND TECHNOLOGY

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Development Of Trip Attraction Models Using Generalized Linear Modeling For Shopping Centers In Chittagong City

Volume: 21 Issue: 1

Shuvo Ray

Department of Urban and Regional Planning, Chittagong University of Engineering and Technology

Md. Muaz Hussain

Department of Urban and Regional Planning, Chittagong University of Engineering and Technology

Abstract

In developing nations, one of the most essential aspects of travel demand management (TDM) is theanalysisoftripattractioninshoppingmalls.Shoppingmalls are major trip generators, as a large number of people visit these centers daily. A trip to the shopping center is usually seen as an essential travel due of its aim. As a result of its essential aspect, trip attraction plays a critical role in resolving and improving traffic problems through the development of road networks. Rapid urbanization and expansion have been noted in Chittagong city, one of Bangladesh's major cities, in recent decades due to enticing employment possibilities and the provision of social services.Thisadditionaltrafficmightexacerbatethecurrent congested situation. This resulted in an extra journey to Chittagong City's shopping center. In this study, an effort has been made to determine the trip attraction rates of shopping malls in Chittagong city. The trip attraction rate is determined by physical features such as floor area (ft2), parking space, number of stores, and number of staff (per shop). This study also develops trip attraction models using Generalized Linear Modeling (GLM) with respect to physical features and Socio-demographic variables. The number of vehicles and people entering the shopping mall during peak hours on weekends and weekdays is counted every 15 minutes for first attempt. Questionnaire as technique used for data collection for second attempt. Highest trip attraction rate at weekend and weekday is Sanmer Ocean City with 286.8 PCU/hr. and 211.1 PCU/hr. In every case, the weekend trip rate is higher than the weekday travel rate. To estimate the trip attractions of shopping centers, four regression models were developed with respect to physical features and Socio-demographic variables. Floor area, number of shops, number of employees from physical characteristics have a strong correlation with number of trips. Job, income and shopping expense from socio-demographic features have a strong correlationwithnumberoftrips.Thistrip attractionratecan be used to estimate traffic flow and assess traffic impacts in the surroundings of a new shopping mall. The model assists in the understanding of tripping chains in the Shopping Center. Thefrequencyofactivityin theshopping centercan be estimated using the model.

Keywords

Trip Attraction, Generalized Linear Model, Chittagong City

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