Trip Attraction Rate Estimation Using Open Data Sources for Smart Transportation Planning
Abstract
Trip Attraction Rate (TAR) serves as a load factor utilized in aggregate transportation modeling. Conventional estimation consumes a lot of time and manpower for field surveys. Meanwhile, open data sources, such as Google Maps, offer an alternative approach to conducting a survey. The popular times feature from Google Maps can estimate coffee shop TAR in the city of Bandung. This study focuses on coffee shops in Bandung City. Data was collected using web scraping techniques on Google Maps and produced a sample size of 377 data points after the validity and reliability processes. Subsequently, multiple linear regression was employed to estimate TAR. The findings reveal that variables like building area and distance to public transportation hubs influence TAR simultaneously. Moreover, our approach could also distinguish TAR between weekdays (0.13 people/m2/hour) and weekends (0.14 people/m2/hour) in Bandung City. This result challenges the usage of Institute of Transportation Engineers (ITE) standards, which is often due to limitations of time and workforce in conducting surveys for TAR estimation. The difference in values indicates the need to estimate specific TAR for each city in Indonesia rather than relying on ITE values, and the proposed approach to using open data sources will shorten the estimation process.
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Ismiyanti, I., & Hermawan, F. (2018). Lifestyle as an Influential Factor to Urban Mobility Transport: a Case Study of Semarang City, Indonesia. IOP Conf. Series: Earth and Environmental Science, 123.
Setiati, G., Santosa, I., & Syarief, A. (2015, December). Gender and Place Attachment pada Coffee Shop di Bandung. Jurnal Sosioteknologi, 14(3), 298-310.
Ferreira, J., Ferreira, C., & Bos, E. (2021). Spaces of consumption, connection, and community: Exploring the role of the coffee shop in urban lives. Geoforum, 119, 21-29.
Hariandini, T. B., & Maharani, Y. (2021). Coffee Shop Place Attachment during Covid-19 Pandemic in Bandung. Advances in Social Science, Education and Humanities Research, 625, 582-589.
Rahayu, S., Yudi, B., & Maestri, G. (2019). TRIP RATE DAN POLA PERGERAKAN PADA TRANSMART SETIABUDI SEMARANG SEBAGAI SALAH SATU PUSAT PERBELANJAAN BERKONSEP MULTI-AKTIVITAS. Jurnal Pengembangan Kota, 77-82.
Javed, S. A., Mithun, D., Nadim, M. H., Anwar, M. A., & Chowdhury, S. (2020). Estimation of Trip Attraction Rates and Models for Shopping Centers in Dhaka City. Journal of Transportation Systems, 5(1), 28-34.
Ortúzar, J. d., & Willumsen, L. (2011). Modelling Transport 4th Edition. John Wiley & Sons Ltd.
Jacob, D. E. (2013). SMART GROWTH TRIP GENERATION OF COFFEE SHOPS. Sacramento: Faculty of the Department of Civil Engineering California State University.
Greene, C., & Kannan, V. (2011). A Trip Generation Study of Coffee/Donut Shops in Western New York. ITE Journal Vol. 81, 40-45.
Maulana, N., & Alvinsyah. (2018, October). Pengembangan Model Bangkitan Perjalanan Berbasis Metoda ITE (Kasus: Guna Lahan Tipe Rumah Sakit). Prosiding Simposium Forum Studi Transportasi antar Perguruan Tinggi, 21, 1427-1437.
Klinkhardt, C., Woerle, T., Briem, L., Heilig, M., Kagerbauer, M., & Vortisch, P. (2021). Using OpenStreetMap as a Data Source for Attractiveness in Travel Demand Models. Transportation Research Record, 2675(8).
Karami, Z., & Kashef, R. (2020). Smart transportation planning: Data, models, and algorithms. Transportation Engineering, 2.
Iliashenko, O., Iliashenko, V., & Lukyanchenko, E. (2021). Big Data in Transport Modelling and Planning. Transportation Research Procedia, 54, 900-908.
Milne, D., & Watling, D. (2019). Big data and understanding change in the context of planning transport systems. Journal of Transport Geography, 76, 235-244.
Yulian, A. A., & Soegoto, H. S. (2020). Coffee Shop Business Planning For Creative Actors Using Business Model Canvas. The 3rd International Conference on Business, Economics, Social Sciences, and Humanities. Bandung: UNIKOM.
Krotov, V., Johnson, L. R., & Silva, L. (2020). Tutorial: Legality and Ethics of Web Scraping. Communication of The Association for Information System, 47, 555 – 579.
Victor, D. J., & Ponnuswamy, S. (2012). Urban Transportation: Planning, Operation and Management. McGraw Hill Education.
Basuki, Y., Rahayu, S., & Rahmawati, N. W. (2020). Analysis of Backward Methods for Determining Trip Attraction Model on Commercial and Service Area in Sukun Raya Road, Banyumanik, Semarang. IOP Conf. Series: Earth and Environmental Science, 409.
Rizki, M., Joewono, T. B., Belgiawan, P. F., & Irawan, M. Z. (2021). The travel behaviour of ride-sourcing users, and their perception of the usefulness of ride-sourcing based on the users' previous modes of transport: A case study in Bandung City, Indonesia. IATSS Research, 45(2), 267-276.
Williams, M. N., Grajales, A. C., & Kurkiewicz, D. (2013). Assumptions of Multiple Regression: Correcting Two Misconceptions. Practical Assessment, Research, and Evaluation, 18(11).
Goh, B. H., Yuen, C. W., & Onn , C. C. (2023). Improvement of trip generation rates for mixed-use development in Klang Valley, Malaysia. Scientific Reports, 2699(13).
Adenaw, L., & Bachmeier, Q. (2022). Generating Activity-Based Mobility Plans from Trip-Based Models and Mobility Surveys. Applied Science, 12.
Institute of Transportation Engineers. (2017). Trip Generation Manual, 10th Edition. Washington, DC.
DOI: http://dx.doi.org/10.54324/j.mtl.v11i2.1386
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