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Estimation of Trip Attraction Rates and Models for Shopping Centers in Dhaka City

Syed Aaqib Javed; Mithun Debnath; Md. Hossain Nadim; Md. Ajwad Anwar; Sabuj Chowdhury

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3733088", 
  "container_title": "Journal of Transportation Systems", 
  "language": "eng", 
  "title": "Estimation of Trip Attraction Rates and Models for Shopping Centers in Dhaka City", 
  "issued": {
    "date-parts": [
  "abstract": "<p>Planinig of transportation facilities for any city depends on trip generation stepy. In this paper, trip attraction rate of six shopping centers located at different places (Uttara, Gulshan and Dhanmondi) in Dhaka city is determined. Physical features like floor area (ft2), parking space, number of shops, number of entry, number of employees (per shop) are considered to determine the trip attraction rate. The number of vehicles (car) and persons entering the shopping center on weekend and weekday during peak hour for every 15 minutes time interval are counted. A similar trend showed in all the graphs between the trip rate on weekend and weekdays. In all cases, trip rate on weekend is higher than the trip rate on weekday. This data used to determine the trip attraction rate with respect to different physical features. This trip attraction rate can be used for estimating the traffic volume and evaluating the traffic impacts adjacent a new shopping center. Two regression models were also developed as a function of different physical features to estimate the trip attractions of the shopping centers. The result showed that all the physical features have a strong correlation except number of entry. This models will be helpful in estimating the trip attraction rate for any shopping centers.</p>", 
  "author": [
      "family": "Syed Aaqib Javed"
      "family": "Mithun Debnath"
      "family": "Md. Hossain Nadim"
      "family": "Md. Ajwad Anwar"
      "family": "Sabuj Chowdhury"
  "page": "28-34", 
  "volume": "5", 
  "type": "article-journal", 
  "issue": "1", 
  "id": "3733088"
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