{"references": ["Abdul Khalik Al-Taei and Amal M. Taher (2006), \"Prediction Analysis of Trip Production Using Cross Classification Technique\", Al-Rafidain Engg., Volume 14, Issue 4, pp. 51-63, Availabe at: https://www.iasj.net/iasj?func=fulltext&aId=45358.", "Mahmoud Mounir, Abdel Moghazy and Aal (2004), \"Cross classification trip production model for the city of Alexandria\", Alexandria Engg., Volume 43, Issue 2, pp. 177-189, Available at: https://www.researchgate.net/ publication/266493818_Cross_classification_trip_production_model_for_the_city_of_Alexandria.", "Jesus Gonzalez-Feliu, Florence Toilier and Jean-Louis Routhier (June 30 \u2013 July 2, 2009), \"End-consumer movements in French medium urban areas\", Procedia Social and behavioral Sci., Elsevier, Volume 2010, Issue 2, Available at: https://cyberleninka.org/article/n/1126316.", "Richard Lee, Joshua Miller, Rachel Maiss, Mary Campbell, Kevan Shafizadeh, Deb Niemeier and Susan Handy (2013), \"Evaluation of the Operation and Accuracy of Five Available Smart Growth Trip Generation Methodologies\", Trans. Res. Record: J. of the Trans. Res. Board, Volume 2307, Issue 1, pp. 120-131, Available at: https://doi.org/ 10.3141/2307-13.", "Ishtiaque Ahmed, Tanweer Hasan, Izzul Ramli and Othman Che Puan (2014), \"Trip Generation Characteristics of Kindergartens in Johor Bahru, Malaysia\", J. of Teknolo., Volume 71, Issue 3, pp. 23-26, Available at: https://www.researchgate.net/publication/273311222_Trip_Generation_Characteristics_of_Kindergartens_in_Johor_Bahru_Malaysia.", "Justin S. Chang, Taeseok Kang, Dongjae Jung and Jaekyung Kim (2014), \"Comparative analysis of trip generation models: results using home-based work trips in the Seoul metropolitan area\", Int. J. of Transport. Res., Volume 6, Issue 2, pp. 78-88, Available at: https://doi.org/10.1179/1942787514Y.0000000011.", "Ciro Jaramillo, Liliana Montealegre Urquiza, David Mosquera Jacob and Jackeline Murillo Hoyos (2010), \"Trip Generation Model Based On Household through Crossed Classification Technique in the Municipality of Palmira, Colombia\", Lisbon, Portugal, Avaiable at: https://www.academia.edu/2133226/TRIP_GENERATION_MODEL_BASED_ON_HOUSEHOLD_THROUGH_CROSSED_CLASSIFICATION_TECHNIQUE_IN_THE_MUNICIPALITY_OF_PALMIRA_.", "Md. Lutfur Rahman (2011), \"Analysis of Traffic Generation in an Urban Area: A Case Study of Savar Pourashava\", J. of Bangladesh Instit. of Planners, Volume 4, pp. 33-43, Available at: http://www.bip.org.bd/Sharing Files/journal_book/20130724140142.pdf.", "R Paul H. Wright, Norman J. Ashford and Robert J. Stammer (1981), \"Transportation Engineering Planning and Design\", 4th Ed., John Wiley and Sons, Inc., New York, Available at: https://www.wiley.com/en-us/Transportation+Engineering%3A+Planning+and+Design%2C+4th+Edition-p-9780471173960.", "FAN, H. S. L and SOI HOI LAM (1997), \"Parking Generation of Commercial Developments in Singapore\", J. of Transport. Engg., Volume 123, Issue 3, pp. 238-242, ISSN: 0733-947X, Available at http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2645079."]}

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.