Analyzing the impacts of gasoline price change on nationwide trip demand and drivers' behavior using regression discontinuity design

Document Type : Article

Authors

Department of Civil Engineering, Sharif University of Technology, Tehran, Iran

Abstract

Gasoline is one of the essential commodities in today's societies and its price can affect different aspects of citizens' lives. This article studies the impacts of the sudden increase in gasoline price on the volume of intercity traffic at national and provincial scales, along with the changes in driving speed distribution and the percentage of speeding violations. The studied period includes four months in two consecutive years. Data was collected from more than 2400 loop detectors placed on the roads of 31 provinces of Iran. This data is used for implementing Regression Discontinuity Design (RDD) on traffic volume and speeding violation percentage. Statistical measures of speed distribution are also used to examine changes in driving speed. According to the literature, the optimal driving speed for fuel consumption is about 50 to 70 km/h. This study showed a 7.4% increase in the probability of driving in the 50 to 70 km/h range after the price increase. Also, according to research results, the volume of intercity traffic and the percentage of speeding violations has decreased due to the rise in gasoline price.

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Main Subjects

References

References:
1. Boyd-Swan, C. and Herbst, C.M. "Pain at the pump: Gasoline prices and subjective well-being", J Urban Econ, 72(2-3), pp. 160-175 (2012). https://doi.org/10.1016/j.jue.2012.05.002.
2. Courtemanche, C. "A silver lining? The connection between gasoline prices and obesity", Econ Inq, 49(3), pp. 935-957 (2011). https://doi.org/10.1111/j.1465- 7295.2009.00266.x.
3. Sen, B. "Is there an association between gasoline prices and physical activity? Evidence from American time use data", Journal of Policy Analysis and Management, 31(2), pp. 338-366 (2012). https://doi.org/10.1002/pam.21601.
4. Langer, A. and Miller, N.H. "Automakers' shortrun responses to changing gasoline prices", Review of Economics and Statistics, 95(4), pp. 1198-1211 (2013). http://dx.doi.org/10.1162/REST a 00297.
5. Busse, M.R., Knittel, C.R., and Zettelmeyer, F. "Who is exposed to gas prices? How gasoline prices affect automobile manufacturers and dealerships", Quantitative Marketing and Economics, 14, pp. 41-95 (2016). https://doi.org/10.1007/s11129-016-9166-5.
6. Ma, Y., Ailawadi, K.L., Gauri, D.K., et al. "An empirical investigation of the impact of gasoline prices on grocery shopping behavior", J Mark, 75(2), pp. 18- 35 (2011). https://doi.org/10.1509/jm.75.2.18.
7. Currie, G. and Phung, J. "Transit ridership, auto gas prices, and world events new drivers of change?", Transp Res Rec, 1992, pp. 3-10 (2007). https://doi.org/10.3141/1992-01.
8. Mattson, J., Peterson, D., Ripplinger, D., et al. "An assessment of demand for rural intercity transportation services in a changing environment", Transp Res Rec, 2145, pp. 108-114 (2010). https://doi.org/10.3141/2145-13.
9. Rashad, I. "Associations of cycling with urban sprawl and the gasoline price", American Journal of Health Promotion, 24(1), pp. 27-36 (2009). https://doi.org/10.4278/ajhp.071121124.
10. Atamanov, A., Mostafavi Dehzooei, M., and Wai-Poi, M. G. "Welfare and fiscal implications from increased gasoline prices in the islamic republic of Iran", World Bank Policy Research Working Paper, 9235 (2020). http://documents.worldbank.org/curated/en/ 289841588875283367/Welfare-and-Fiscal-Implications- from-Increased-Gasoline -Prices-in-the-Islamic-Republic-of-Iran.
11. Central Bank of the Islamic Republic of Iran, "Transportation statistics", In Statistical Yearbook of the Roads and Transportation Organization of Iran (2014). 
12. Leduc, G. "Road traffic data: Collection methods and applications", Working Papers on Energy, Transport and Climate Change, 1(55), pp. 1-55 (2008). 
13. Li, J. and van Zuylen, H.J. "Loop detector error and its impacts on traffic control scheme: SCATS case study in Changsha", 11th TRAIL Congress, Connecting People-Integrating Expertise, TRAIL Research School, pp. 1-4 (2010). https://resolver.tudelft.nl/uuid:1846d449-ca3e- 46a6-b242-bb2ee07d3a0f.
14. Piras, F., Sottile, E., Tuveri, G., et al. "Does the joint implementation of hard and soft transportation policies lead to travel behavior change? An experimental analysis", Research in Transportation Economics, 95 (2022). https://doi.org/10.1016/j.retrec.2022.101233.
15. Lane, B.W. "A time-series analysis of gasoline prices and public transportation in US metropolitan areas", J. Transp Geogr, 22, pp. 221-235 (2012). https://doi.org/10.1016/j.jtrangeo.2011.10.006.
16. Mattson, J. "The effects of gasoline prices on bus ridership for different types of transit systems", Journal of the Transportation Research Forum, 47(3), pp. 5-21 (2012). http://dx.doi.org/10.22004/ag.econ.206960.
17. Chao, M.C., Huang, W.H., and Jou, R.C. "The asymmetric effects of gasoline prices on public transportation use in Taiwan", Transp Res D Transp Environ, 41, pp. 75-87 (2015). https://doi.org/10.1016/j.trd.2015.09.021.
18. Currie, G. and Phung, J. "Exploring the impacts of fuel price increases on public transport", 29th Australasian Transport Research Forum (2006).
19. Khoo, H.L., Ong, G.P., and Khoo, W.C. "Shortterm impact analysis of fuel price policy change on travel demand in Malaysian cities", Transportation Planning and Technology, 35(7), pp. 715-736 (2012). https://doi.org/10.1080/03081060.2012.710039.
20. Kochan, B., Bellemans, T., Janssens, D., et al. "Assessing the impact of fuel cost on traffic demand in Flanders using activitybased models", Vienna, Austria: TDM (2008). https://www.academia.edu/download/42274926.
21. Burke, P.J., Batsuuri, T., and Yudhistira, M.H. "Easing the traffic: The effects of Indonesia's fuel subsidy reforms on toll-road travel", Transp Res Part A Policy Pract, 105, pp. 167-180 (2017). https://doi.org/10.1016/j.tra.2017.08.003.
22. Musso, A., Godard, G., Lapeyre, A., et al. "Road transport elasticity: How fuel price changes can affect traffic demand on a toll motorway", Procedia - Social and Behavioral Sciences, 87, pp. 85-102 (2013). https://doi.org/10.1016/j.sbspro.2013.10.596.
23. Austin, D., Effects of Gasoline Prices on Driving Behavior and Vehicle Markets, Government Printing Office (2008).
24. Burger, N.E. and Kaffine, D.T. "Gas prices, traffic, and freeway speeds in Los Angeles", Review of Economics and Statistics, 91(3), pp. 652-657 (2009). http://www.jstor.org/stable/25651365.
25. Klein, J., Shen, X., and Barati, K. "Optimum driving pattern for minimizing fuel consumption of on-road vehicles", ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction I.A.A.R.C), pp. 555-562 (2016). http://dx.doi.org/10.22260/ISARC2016/0067.
26. Wang, H., Fu, L., Zhou, Y., et al. "Modelling of the fuel consumption for passenger cars regarding driving characteristics", Transp Res D Transp Environ, 13(7), pp. 479-482 (2008). https://doi.org/10.1016/j.trd.2008.09.002.
27. Thomas, J., Hwang, H.-L., West, B., et al. "Predicting light-duty vehicle fuel economy as a function of highway speed", SAE International Journal of Passenger  Cars-Mechanical Systems, 122, pp. 859-875 (2013). http://dx.doi.org/10.4271/2013-01-1113.
28. West, B.H., McGill, R.N., and Sluder, S., Development, and Validation of Light-Duty Vehicle Modal Emission and Fuel Consumption Values for Traffic Models (1999). 
29. Pan American Health Organisation, Speed and Road Crashes, Washington DC (2018).
30. FIA Foundation for the Automobile and Society, the Global Road Safety Partnership, the W. and Organisation, B. and W.H., Speed Management: A Road Safety Manual for Decision-Makers and Practitioners (2009).
31. Hahn, J., Todd, P., and Klaauw, W. Van. der., et al. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design on JSTOR", Econometrica, 69, pp. 201-209 (2001). https://doi.org/10.1111/1468-0262.00183.
32. Villamizar-Villegas, M., Pinzon-Puerto, F.A., and Ruiz-Sanchez, M.A. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years", Journal of Economic Surveys, 36(4), pp. 1130-1178 (2022). https://doi.org/10.1111/joes.12461.
33. Hausman, C. and Rapson, D.S. "Regression discontinuity in time: Considerations for empirical applications", Annu Rev Resour Economics, 10, pp. 533-552 (2018). https://doi.org/10.1146/annurev-resource- 121517-033306.
34. Percoco, M. "The effect of road pricing on traffic composition: Evidence from a natural experiment in Milan, Italy", Transp Policy (Oxf), 31(January 2012), pp. 55-60 (2014). https://doi.org/10.1016/j.tranpol.2013.12.001.
35. Sadowsky, N. and Nelson, E. "The Impact of Ride-Hailing Services on Public Transportation Use: A Discontinuity Regression Analysis", Economics Department Working Paper Series, p. 28 (2017). https://digitalcommons.bowdoin.edu/econpapers/13/.
36. U.S. Energy Information Administration, "U.S. Energy Information Administration (EIA)", https://www.loc.gov/item/lcwaN0015422/.
37. U.S. Government Accountability Office, Motor Fuels: Understanding the Factors That Influence the Retail Price of Gasoline (2005). 
38. Kirikkaleli, D. and Gungor, H. "Co-movement of commodity price indexes and energy price index: a wavelet coherence approach", Financial Innovation, 7(1), pp. 1-18 (2021). https://doi.org/10.1186/s40854- 021-00230-8.
39. Trochim, W.M. "The Regression-discontinuity design", Research Methodology: Strengthening Causal Interpretations of Nonexperimental Data, pp. 119-130 (1990). https://books.google.co.uk/books.
40. Cook, T.D. "Waiting for Life to Arrive: A history of the regression-discontinuity design in Psychology, Statistics and Economics", J. Econom, 142(2), pp. 636-654 (2008). https://doi.org/10.1016/j.jeconom.2007.05.002.
41. Cattaneo, M.D., Titiunik, R., and Vazquez-Bare, G. "Chapter 44: The Regression Discontinuity Design", In The SAGE Handbook of Research Methods in Political Science and International Relations, SAGE Publications Ltd, 55 City Road (2020). http://dx.doi.org/10.4135/9781526486387.n47.
42. Jacob, R., Zhu, P., Somers, M.-A., et al. "A practical guide to regression discontinuity", MDRC (2012). 
43. Cappelleri, J.C. "Regression discontinuity design", Psychology (2015). 
44. Chaplin, D.D., Cook, T.D., Zurovac, J., et al. "The Internal and External Validity of the Regression Discontinuity Design: a Meta-Analysis of 15 Within-Study Comparisons", Journal of Policy Analysis and Management, 37(2), pp. 403-429 (2018). https://doi.org/10.1002/pam.22051.
45. Cattaneo, M.D. and Titiunik, R. "Regression Discontinuity Designs", Annu Rev Econom, 14, pp. 821-851 (2022). https://doi.org/10.1146/annureveconomics- 051520-021409.
46. Liu, Z. and Sharma, S. "Statistical Investigations of Statutory Holiday Effects on Traffic Volumes", Transportation Research Record, 1945(1), pp. 40-48 (2006). https://doi.org/10.1177/0361198106194500106.
47. Cattaneo, M.D., Idrobo, N., and Titiunik, R., A Practical Introduction to Regression Discontinuity Designs, Cambridge University Press (2019). 
48. Seabold, S. and Perktold, J. "statsmodels: Econometric and statistical modeling with python", 9th Python in Science Conference (2010). 
49. Iran's Road Maintenance amd Transportation Organization, "Loop Detectors Data". https://141.ir/trafficcounterfiles. 
Scientia Iranica
Volume 31, Issue 19
Transactions on Civil Engineering (A)
November and December 2024
Pages 1767-1778

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History

  • Receive Date: 24 August 2021
  • Revise Date: 01 July 2023
  • Accept Date: 29 August 2023

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