การศึกษาพฤติกรรมการเดินทางของผู้ใช้บริการทางพิเศษ กรณีการกำหนดค่าผ่านทางตามช่วงเวลา

แสงระวี ต้นงาม; เทอดศักดิ์  รองวิริยะพานิช

Authors

แสงระวี ต้นงาม นักศึกษา, ภาควิชาวิศวกรรมโยธา มหาวิทยาลัยพระจอมเกล้าพระนครเหนือ อาคาร 89 1518 ถนนประชาราษฎร์ 1 แขวงวงศ์สว่าง เขตบางซื่อ กรุงเทพมหานคร 10800
เทอดศักดิ์ รองวิริยะพานิช อาจารย์, ภาควิชาวิศวกรรมโยธา มหาวิทยาลัยพระจอมเกล้าพระนครเหนือ อาคาร 89 1518 ถนนประชาราษฎร์ 1 แขวงวงศ์สว่าง เขตบางซื่อ กรุงเทพมหานคร 10800

Keywords:

Time-of-Day Pricing, Multinomial Logit (MNL), Expressway, Utility Theory

Abstract

This research aims to investigate the travel time choice behavior of expressway users and to analyze the factors influencing changes in travel time choice behavior under a Time-of-Day Pricing scheme. The study area is the Prachachuen Toll Plaza (inbound) on the Si Rat Expressway, which is characterized by heavy traffic congestion and relatively high toll rates. Travel behavior was investigated using a Stated Preference (SP) survey based on hypothetical scenarios involving 469 four-wheel vehicle users. The collected data were analyzed using a Discrete Choice Model, specifically the Multinomial Logit Model (MNL). The results indicate that travel time, toll fare, and work time significantly influence users’ choices of travel periods. The analysis further reveals that, during the morning peak period (06:01–09:00), 42.22% of travelers were unable to adjust their travel time due to work schedule constraints, whereas 10.07% were able to shift their travel time. The latter group can be further classified into two subgroups based on their preferred alternative travel periods: shifting to the Pre-peak period (04:00–06:00) and shifting to the Post-peak period (09:01–12:00), accounting for 4.08% and 5.99%, respectively.

References

Inter - City Motorway Division, Department of Highways. History and Background [Internet]. Bangkok: Inter - City Motorway Division; 2017 [cited 2026 Jun 20]. Available from: https://www.motorway.go.th/about/history/.

Vetchawongwan T. Travel mode choice analysis of high speed train using stated preference method: a case study of air passengers from Bangkok to Northern Corridor [master’s thesis]. Bangkok: Chulalongkorn University; 2011. (In Thai).

Kangjai J. Changes in commute patterns following an opening of a major mass transit system: a before and after study of Bangkok's Mass Rapid Transit Authority's Blue Line Subway [master's thesis]. Bangkok: Chulalongkorn University; 2006. Thai.

Burris MW, Pendyala RM. Discrete choice models of traveler participation in differential time of day pricing programs [Internet]. Transport Policy 2002 [cited 2026 Jun 20];9(3):241-51. Available from: https://www.sciencedirect.com/science/article/pii/S0967070X02000021.

Li ZC, Huang HJ, Yang H. Fifty years of the bottleneck model: a bibliometric review and future research directions [Internet]. Transportation Research Part B: Methodological 2020 [cited 2026 Jun 20];139:311-42. Available from: https://pmc.ncbi.nlm.nih.gov/articles/ PMC7333998/.

Maychaipume T, Rungjang K. Logit model on modal choice behavior of recreation trip to Eastern Thailand. The Journal of KMUTNB 2024 [cited 2026 Jun 20];34(2):1-12. Available from: https://ph01.tci-thaijo.org/index.php/kmutnb-journal/article/view/256903/ 172191. (In Thai).

Duangthong S. Route-choice behaviors of drivers travelling between Bangkok and Chonburi [master’s thesis]. Bangkok: Chulalongkorn University; 2001. (In Thai).

Train KE. Discrete choice methods with simulation. 2nd ed. New York: Cambridge University Press; 2009. doi: 10.1017/CBO9780511805271.

Greene WH. Econometric analysis. 8th ed. Harlow: Pearson Education Limited; 2018.

Ben-Akiva M, Lerman SR. Discrete choice analysis: theory and application to travel demand. Cambridge (MA): MIT Press; 1985.

McFadden D. Conditional logit analysis of qualitative choice behavior. In: Zarembka P, editor. Frontiers in econometrics. New York: Academic Press; 1974. p. 105-142.

Ortúzar JD, Willumsen LG. Modelling transport. 4th ed. Chichester: John Wiley & Sons; 2011.