-Aboelenen, K. E., Mohammad, A. N., Elgaar, M. I., & Choe, P. (2021). Trip generation rates using household surveys in the state of Qatar. Journal of Traffic and Logistics Engineering 9.
-Al Razib, M. S., & Rahman, F. I. (2017). Determination of trip attraction rates of shopping centers in Uttara Area, Dhaka. American Journal of Management Science and Engineering, 2(5), 150-155.
-Al Shehab, O. M., & Khedaywi, T. S. (2018). Trip and parking generation for shopping centers in Jordan. Institute of Transportation Engineers. ITE Journal, 88(2), 45-49.
-Altaher, M. G., Elsayed, M. A., Hassanin, H. D., & Ibrahim, A. R. (2023). Trip Attraction Rates of Banking Services in Developing Countries' Cities. Civil Engineering Journal, 9(2), 343-355.
-Anand, A., & George, V. (2022). Modeling Trip-generation and Distribution using Census, Partially Correct Household Data, and GIS. Civil Engineering Journal, 8(9), 1936-1957.
-Bamney, A., Gupta, N., Jashami, H.,
Megat-Johari, M.-U., & Savolainen, P. (2022). An analysis of changes in county-level travel behavior considering COVID-19–related travel restrictions, immunization patterns, and political leanings. Journal of Transportation Engineering, Part A: Systems, 148(11), 04022096.
-Bhat, C. R., Sen, S., & Eluru, N. (2009).
The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use. Transportation Research Part B: Methodological, 43(1), 1-18.
-Calvo, F., Eboli, L., Forciniti, C., & Mazzulla, G. (2019). Factors influencing trip generation on metro system in Madrid (Spain). Transportation Research Part D: Transport and Environment, 156-172.
-Carse, A., Goodman, A., Mackett, R. L., Panter, J., & Ogilvie, D. (2013). The factors influencing car use in a cycle-friendly city: the case of Cambridge. Journal of Transport Geography, 28, 67-74.
-Cavill, N., Kahlmeier, S., & Racioppi, F. (2006). Physical activity and health in Europe: evidence for action. WHO Regional Office Europe.
-Cervero, R., & Duncan, M. (2003). Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay Area. American Journal of Public Health, 93(9), 1478-1483.
-De Nazelle, A., Nieuwenhuijsen, M. J., Antó, J. M., Brauer, M., Briggs, D., Braun-Fahrlander, C., Cavill, N., Cooper, A. R., Desqueyroux, H., & Fruin, S. (2011). Improving health through policies that promote active travel: a review of evidence to support integrated health impact assessment. Environment international, 37(4), 766-777.
-de Oliveira, L. K., Herédia, R. T., Bertoncini, B. V., & de Oliveira, R. L. M. (2020). Freight trip generation to buildings under construction: a comparative analysis with linear regression and generalised linear regression. Transportes, 28-42.
-De Palma, A., & Rochat, D. (2000). Mode choices for trips to work in Geneva: an empirical analysis. Journal of Transport Geography, 8(1), 43-51.
-Donald, I. J., Cooper, S. R., & Conchie, S. M. (2014). An extended theory of planned behaviour model of the psychological factors affecting commuters' transport mode use. Journal of environmental psychology, 40,
39-48.
-Doulabi, S., Wilmot, C., Stopher, P., & Antipova, A. (2022). Contextual adjustment of the institute of transportation engineers trip generation rates for small and medium urban areas in Louisiana. Transportation Research Record, 2676(8), 44-55.
-Feng, Y., Fullerton, D., & Gan, L. (2013). Vehicle choices, miles driven, and pollution policies. Journal of Regulatory Economics, 44, 4-29.
-Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
-Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., & Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. American journal of preventive medicine, 28(2), 117-125.
-Gehrke, S. R., & Wang, L. (2020). Operationalizing the neighborhood effects of the built environment on travel behavior. Journal of Transport Geography, 82, 102561.
-Gelman, A., & Carlin, J. (2014). Beyond power calculations: Assessing type S (sign) and type M (magnitude) errors. Perspectives on psychological science, 9(6), 641-651.
-George, P., & Kattor, G. J. (2013). Forecasting trip attraction based on commercial land use characteristic. International Journal of Research in Engineering and technology, 2.(9).
-George, P., Kattor, G. J., & Malik, K. V. A. (2013). Prediction Of Trip Attraction Based On Commercial Land Use Characteristics. International Journal of Innovative Research in Science, Engineering and Technology, 2,
352-359.
-Guo, J. Y., & Bhat, C. R. (2007). Operationalizing the concept of neighborhood: Application to residential location choice analysis. Journal of Transport Geography, 15(1), 31-45.
-Handy, S., Shafizadeh, K. R., & Schneider, R. (2013). California smart-growth trip generation rates study.
-Harazraah Consulting Engineers group. (2012). Determining the Rate of Trip Generation and Attraction of Land Uses in Mashhad (in persian). Retrieved from Iran: City of Mashhad.
-Hu, N., Legara, E. F., Lee, K. K., Hung, G. G., & Monterola, C. (2016). Impacts of land use and amenities on public transport use, urban planning and design. Land Use Policy, 57,
356-367.
-Hua-bing, D., Jin-chuan, C., & Ji-fu, G. (2007). Research on trip generation rate of office buildings in Beijing. Journal of Transportation Systems Engineering and Information Technology, 7(3), 90.
-Institute of Transportation Engineers. (2017). Trip Generation Handbook An ITE Recommended Practice, 2nd Ed. Retrieved from Washington, D.C.
-Jiang, Y., Gu, P., Chen, Y., He, D., & Mao, Q. (2017). Influence of land use and street characteristics on car ownership and use: Evidence from Jinan, China. Transportation Research Part D: Transport and Environment, 52, 518-534.
-Karambakhsh, S. (2023).. Automatic Methodology for Multi-modal Trip Generation with Roadside LiDAR University of Nevada, Reno.
-Lawson, C. T., Holguín-Veras, J.,
Sánchez-Díaz, I., Jaller, M., Campbell, S., & Powers, E. L. (2012). Estimated generation of freight trips based on land use. Transportation Research Record, 2269(1), 65-72.
-Mamun, M., Rahman, S., Rahman, M., Aziz, Y., & Raihan, M. (2014). Determination of trip attraction rates of shopping centers in Dhaka city. 2nd International Conference on Advances in Civil Engineering.
-Manaugh, K., & Kreider, T. (2013). What is mixed use? Presenting an interaction method for measuring land use mix. Journal of Transport and Land use, 6(1), 63-72.
-Mitchell Hess, P., Vernez Moudon, A., & Logsdon, M. G. (2001). Measuring land use patterns for transportation research. Transportation Research Record, 1780(1),
17-24.
-Newman, P. W., & Kenworthy, J. R. (1996). The land use—transport connection: An overview. Land Use Policy, 13(1), 1-22.
-Noland, R. B., Smart, M. J., & Guo, Z. (2016). Bikeshare trip generation in New York City. Transportation Research Part A: Policy and Practice, 164-181.
-Ramos, É. M. S., Bergstad, C. J., & Nässén, J. (2020). Understanding daily car use: Driving habits, motives, attitudes, and norms across trip purposes. Transportation Research Part F: Traffic Psychology and Behaviour, 306-315.
-Rith, M., Fillone, A., & Biona, J. B. M. (2019). The impact of socioeconomic characteristics and land use patterns on household vehicle ownership and energy consumption in an urban area with insufficient public transport
service–A case study of metro Manila. Journal of Transport Geography, 79, 102484.
-Sasidhar, K., Vineeth, Y., & Subbarao, S. (2016). Trip attraction rates of commercial land use: a case study. Indian Journal of Science and Technology, 9(30), 1-5.
-Shafizadeh, K., Lee, R., Niemeier, D., Parker, T., & Handy, S. (2012). Evaluation of operation and accuracy of available smart growth trip generation methodologies for use in California. Transportation Research Record, 2037(1),
120-131.
-Spissu, E., Pinjari, A. R., Pendyala, R. M., & Bhat, C. R. (2009). A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel. Transportation, 36, 403-422.
-Transportation Network Management and Engineering Organization. (2022). 18th transportation statistics of Mashhad city (in persian). Mashhad Municipality.
-Uddin, M., Hasan, M. R., Ahmed, I., Das, P., Uddin, M. A., & Hasan, T. (2012).
A comprehensive study on trip attraction rates of shopping centers in dhanmondi area. International Journal of Civil & Environmental Engineering, 12(4), 12-16.
-Wang, X., Shao, C., Yin, C., & Zhuge, C. (2018). Exploring the influence of built environment on car ownership and use with a spatial multilevel model: A case study of Changchun, China. International Journal of Environmental Research and Public Health, 15(9), 1868.
-Weinberger, R., Dock, S., Cohen, L., Rogers, J. D., & Henson, J. (2015). Predicting travel impacts of new development in America's major cities: Testing alternative trip generation models. Transportation Research Record, 2500(1), 36-47.
-Weinberger, R., Ricks, K., Schrieber, J., Cohen, L., & Symmetra Design, L. (2014). Trip generation data collection in urban areas.
-Weliwitiya, H., Rose, G., & Johnson, M. (2019). Bicycle train intermodality: Effects of demography, station characteristics and the built environment. Journal of Transport Geography, 74, 395-404.
-Wikipedia. (2024). Active mobility. https://en.wikipedia.org/wiki/Active_mobility (Accessed: January 2024)
-Xiao, T., Lu, H., Sun, Z., & Wang, J. (2021). Trip generation prediction based on the convolutional neural network-multidimensional long-short term memory neural network model at grid cell scale. IEEE Access, 9, 79051-79059.
-Zenina, N., & Borisov, A. (2013). Regression analysis for transport trip generation evaluation. Information Technology and Management Science, 89-94.
-Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2018). Detecting pattern changes in individual travel behavior: A Bayesian approach. Transportation Research Part B: Methodological, 112, 73-88.