Factors Affecting Decision-Making to Use Feeder Bus Services and Air-Conditioned Buses in Salaya Subdistrict Towards A Sustainable Transport Policy
Main Article Content
Abstract
This research aims to study the factors affecting the public transport travel behavior of people in the community around Salaya station area. We distributed 375 questionnaires to examine the behavior of people in Salaya subdistrict municipality area and its environs. To promote sustainable transport, it is important to consider policy interventions that encourage the use of public transport and reduce dependence on private cars. Therefore, the study area has been chosen in order to give an insight into feeder bus planning will supports the commuter railway line that is to be developed in the near future. This study focuses on two research questions necessary for the feeder transport planning as factors that affect the choice of a feeder system to travel in the area and the factors that affect the choice of using the air-conditioned feeder bus. The behavior of the samples was analyzed by binary logistic regression in two steps: first, to predict the factors that affect the probability that people will use the feeder bus service that picks up passengers between destinations in SALAYA and between SALAYA and Bangkok. Second, to predict the factors that affect the probability of choosing an air-conditioned bus service. As a result, the demographic factors that appeared to affect the decision of choosing a feeder bus were income and the number of vehicles owned. Furthermore, the factors affecting the decision to use air-conditioned buses are age, education, and income. Understanding these factors can help local transport authorities for designing more effective shift-mode strategies.
Article Details
References
Harutairat Jantakard, A. S. L. 2018. Mode choice behaviour model for public transportation system development in Salaya district, FACULTY OF GRADUATE STUDIES. MAHIDOL UNIVERSITY. THAILAND.
Sirima Panyameteekul. 2022. Research Program on Integrated Technology for mitigating PM2.5 : A case study in Bangkok Metropolitan Region (BMR). Bangkok. National Research Council of Thailand (NRCT).
Luathep, P., Suttipan, S. and Jaensirisak, S. 2015. Challenge of Public Transport Planning in Private Vehicle Dominated Community. Journal of the Eastern Asia Society for Transportation Studies, 11, 1122-1139. doi:10.11175/easts.11.1122.
Rissel, C., Mulley, C. and Ding, D. 2013. Travel mode and physical activity at Sydney University. Int J Environ Res Public Health, 10(8), 3563-3577. doi:10.3390/ijerph10083563.
Ulahannan, A. and Birrell, S. 2022. Designing Better Public Transport: Understanding Mode Choice Preferences Following the COVID-19 Pandemic. Sustainability, 14(10). doi:10.3390/su14105952.
Van, H. T., Choocharukul, K. and Fujii, S. 2014. The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries. Transportation Research Part A: Policy and Practice, 69, 36-44. doi:https://doi.org/10.1016/j.tra.2014.08.008.
Yang, W., Chen, Q. and Yang, J. 2022. Factors Affecting Travel Mode Choice between High-Speed Railway and Road Passenger Transport - Evidence from China. Sustainability, 14(23). doi:10.3390/su142315745.
Birago, D., Opoku Mensah, S. and Sharma, S. 2017. Level of service delivery of public transport and mode choice in Accra, Ghana. Transportation Research Part F: Traffic Psychology and Behaviour, 46, 284-300. doi:10.1016/j.trf.2016.09.033.
Munira, S., Sarm, S. and Santoso, D. S. 2013. Perception of Public Van Users in Bangkok. Journal of the Eastern Asia Society for Transportation Studies, 10, 1501-1515. doi:10.11175/easts.10.1501.
Tarigan, A. K. M., Susilo, Y. O. and Joewono, T. B. 2014. Segmentation of paratransit users based on service quality and travel behaviour in Bandung, Indonesia. Transportation Planning and Technology, 37(2), 200-218. doi:10.1080/03081060.2013.
Beirão, G. and Sarsfield Cabral, J. A. 2007. Understanding attitudes towards public transport and private car: A qualitative study. Transport Policy, 14(6), 478-489. doi: https://doi.org/10.1016/j.tranpol.2007.04.009.
Jain, S., Aggarwal, P., Kumar, P., Singhal, S. and Sharma, P. 2014. Identifying public preferences using multi-criteria decision making for assessing the shift of urban commuters from private to public transport: A case study of Delhi. Transportation Research Part F: Traffic Psychology and Behaviour, 24, 60-70. doi: https://doi.org/10.1016/j.trf.2014.03.007.
Sumaedi, S., Bakti, G. and Yarmen, M. 2012. The empirical study of public transport passengers' behavioral intentions: The roles of service quality, perceived sacrifice, perceived value, and satisfaction (case study: Paratransit passengers in Jakarta, Indonesia). International Journal for Traffic and Transport Engineering, 2, 83-97.
Munira, S., Sarm, S. and Santoso, D. S. 2013. Perception of Public Van Users in Bangkok. Journal of the Eastern Asia Society for Transportation Studies, 10, 1501-1515. doi:10.11175/easts.10.1501.
Chiou, Y.-C., Jou, R.-C. and Yang, C.-H. 2015. Factors affecting public transportation usage rate: Geographically weighted regression. Transportation Research Part A: Policy and Practice, 78, 161-177. doi:10.1016/j.tra.2015.05.016.
Le-Klähn, D.-T., Roosen, J., Gerike, R. and Hall, C. M. 2015. Factors affecting tourists' public transport use and areas visited at destinations. Tourism Geographies, 17(5), 738-757. doi:10.1080/14616688.2015.1084527.
Mayo, F. L. and Taboada, E. B. 2020. Ranking factors affecting public transport mode choice of commuters in an urban city of a developing country using analytic hierarchy process: The case of Metro Cebu, Philippines. Transportation Research Interdisciplinary Perspectives, 4. doi:10.1016/j.trip.2019.100078.
Gebeyehu, M. and Takano, S.-e. 2007. Diagnostic evaluation of public transportation mode choice in Addis Ababa. Journal of Public Transportation, 10(4), 2.
Tourism Authority of Thailand (TAT), T. A. (2023, January 9). Retrieved from https://thai.tourismthailand.org/Plan-Your-Trip/Weather?province=219.
Tonmanee, C. 2016. DESIGN GUIDELINE OF HYBRID RAIL AND CANAL CONNECTIVITY FOR SUSTAINING MASS TRANSIT DEVELOPMENT, Thammasat University, 10.14457/TU.the.2016.130.