การพัฒนาแบบจำลองการเลือกรูปแบบการเดินทางและการขนส่งสินค้า โครงการทางหลวงพิเศษระหว่างเมืองสายนครปฐม – ชะอำ

Wutipark Poonbua; Padcharee Phasuk

Authors

Wutipark Poonbua School of Management Science, Sukhothai Thammathirat Open University
Padcharee Phasuk School of Economics, Sukhothai Thammathirat Open University

Keywords:

Intercity Motorway, Freight Mode Choice, Stated Preference, Multinomial Logistic Regression Analysis

Abstract

The aim of this research is to develop a decision model for Nakorn Pathom - Cha Am intercity tollway project. The study compared the modes between Nakorn Chai Sri, Nakorn Pathom and Tha Yang, Phetchaburi. There are three modes, which are road, rail and intercity tollway. Two surveys were conducted: the first one aims to determine the major factors affecting freight mode choice decision and the second one aims to investigate the mode choice decision using a stated preference technique. The stated preference technique was used to survey travelers and freight operators according to 4-wheel vehicles, 6-wheel trucks and 10-wheel trucks, totaling 400 people. They are divided into 2 areas: Nakorn Chai Sri and Tha Yang checkpoint areas because these are the beginning and ending of the project. The Multinomial logistic regression model uses the same set of variables from data collected in the survey. The results indicate three factors including travel costs, travel time, and speed are significant for mode choice model in three types of travelers and freight operators. We observe the model shift of freight from the current to the intercity tollway 59.36%.

References

กรมทางหลวง. (2561). ทางหลวงพิเศษระหว่างเมืองสายนครปฐม–ชะอำ (M8). https://shorturl.asia/e73Y2

กองทางหลวงพิเศษระหว่างเมือง. (2565). โครงข่ายทางหลวงพิเศษระหว่างเมืองและระบบราง (MR-MAP). https://mrmapdoh.com/mr-map-route

การรถไฟแห่งประเทศไทย. (2568). กลุ่มสินค้าคอนเทนเนอร์. https://shorturl.asia/LigEr

วุฒิภาค พูลบัว และ สราวุธ จันทร์สุวรรณ. (2561). การพัฒนาแบบจำลองการเลือกรูปแบบการส่งออกทุเรียนจากประเทศไทยไปประเทศจีน ด้วยวิธี Stated Preference. วารสารบริหารธุรกิจ, 41(159), 1–23.

Ali, N., Javid, M. A. & Rahim, A. (2020). Predicting transit mode choice behavior from parents' perspectives: A case study in Lahore, Pakistan. Jordan Journal of Civil Engineering, 14(4), 476-489. https://shorturl.asia/bOYpj

Arencibia, A. I., Feo-Valero, M., García-Menéndez, L. & Roman, C. (2015). Modelling mode choice for freight transport using advanced choice experiments. Transportation Research Part A Policy and Practice, 75, 252-267. https://shorturl.asia/gvFD5

Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 20(2), 215–242. https://shorturl.asia/xtmTw

Deep, S., Banerjee, S., Dixit, S., & Vatin, N. I. (2022). Critical factors influencing the performance of highway projects: An Empirical Evaluation. Buildings, 12(6), 1-14. https://doi.org/10.3390/buildings12060849

Deka, D. & Carnegie, J. (2021). Predicting transit mode choice of New Jersey workers commuting to New York city from a Stated Preference survey. Journal of Transport Geography, 91(C), 102965. https://shorturl.asia/asdqR

Devarasetty, P. C., Burris, M. & Shaw, W. D. (2012). The value of travel time and reliability- evidence from a stated preference survey and actual usage. Transportation Research Part A: Policy and Practice, 46(8), 1227–1240. https://shorturl.asia/vmpJV

Edwards, A. W. F. (1972). Likelihood. Cambridge University Press.

Gohari, A., Ahmad, A. B., Balasbaneh, A. T., Gohari, A., Hasan, R. & Sholagberu, A. T. (2022). Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies. Transport Policy, 211, 46-60. https://shorturl.asia/tpzPX

Kocur, G., Adler, T., Hyman, W. & Aunet, B. (1982). Guide to Forecasting Travel Demand with Direct Utility Assessment. U.S. Department of Transportation, Urban Mass Transportation Administration, Office of University Research.

Lubis, H. A., Pantas, V. B. & Farda, M. (2019). Demand forecast of Jakarta-Surabaya high speed rail based on stated preference method. International Journal of Technology (IJTech). 10(2), 405-416. https://shorturl.asia/hT2Hn

Nagelkerke, N. J. D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691-692. https://doi.org/10.1093/biomet/78.3.691

Puan, O. C., Hassan, Y. A. H., Mashros, N., Idham, M. K., Hassan, N. A., Warid, M. N. M. & Hainin, M. R. (2019). Transportation mode choice binary logit model: A case study for Johor Bahru city. IOP Conference Series: Materials Science and Engineering, 527, 1-10. Article 012066. https://shorturl.asia/T6WAv

Rifai, A. I., Putra, M. G. D., Isradi, M., Mufhidin, A. & Prasetijo, J. (2022). Evaluation of selection of public transport mode corridor Blok M – Bundaran hotel Indonesian in the new normal era with stated preference. International Journal of Entrepreneurship and Business Development, 5(4), 792-805. https://doi.org/10.29138/ijebd.v5i4.1916

Rungie, C. M., Coote, L. V. & Louviere, J. J. (2011). Structural choice modelling: Theory and applications to combining choice experiments. Journal of Choice Modelling, 4(3), 1-29. https://shorturl.asia/mTugZ

Sanko, N. (2001). Guidelines for stated preference experiment design: Professional company project in association with RAND Europe. [Master’s thesis, Ecole Nationale des Ponts et Chaussees]. https://shorturl.asia/M7PJR

Siridhara, S., Paonoi, W., Meeyai, S., & Ratanavaraha, V. (2019). Container transport mode choice analysis with a binary logit model case study: Northeastern Thailand. Engineering and Applied Science Research, 46(3), 256–266. https://shorturl.asia/MdRpi

Stevens, J. (1996). Applied multivariate statistics for the social science (3rd ed.). Lawrence Erlbaum Associate.

Tuğdemir Kök, G. & Deveci, D. A. (2019). Freight transport mode choice with Stated perference method: A systematic literature review. Mersin University Journal of Maritime Faculty (MEUJMAF), 1(1), 17-29. https://shorturl.asia/u0cbr

Yan, X., Levine, J. & Zhao, X. (2019). Integrating ridesourcing services with public transit: An evaluation of traveler responses combining revealed and stated preference data. Transportation Research Part C: Emerging Technologies, 105, 683–696. https://doi.org/10.1016/j.trc.2018.07.029