Freight modal policies toward a sustainable society

Document Type : Article

Authors

1 Department of Civil Engineering, Sharif University of Technology, Tehran, P.O. Box 14588-89694, Iran

2 Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, P.O. Box 14588-89694, Iran.

3 Department of Civil Engineering, Sharif University of Technology, Tehran, P.O. Box 14588-89694, Iran.

Abstract

Freight transport policy analysts struggle to shift truck freight movements to rail to diminish transportation externalities including environmental costs and safety issues. Therefore, policy-makers need to be aware of the consequences of their decisions beforehand. This study is mainly focused on two policies targeting fuel price and access to rail transportation. A nation-wide freight mode choice model is developed for Iran, and shippers’ tendency to choose rail or truck freight transportation is analyzed by considering the shipping time and cost, commodity weight, commodity type, and rail accessibility. Total fuel consumption and air pollution costs are compared in various scenarios. Based on the results, environmental transportation costs are significantly reduced as a result of the modal shift from truck to rail freight transportation, if the government reallocates the gasoline subsidy to the construction of prioritized railroads.

Keywords


Refrences:
1. Mirzaei, S. Transportation energy data book", Iranian Academic Center for Education, Culture & Research, Tehran, Iran, submitted to Iranian Fuel Conservation Company (2010). 
2. Shafizadeh, M., Amini, F., Tavanpour, M., et al., Energy Balance Sheet, Department of Electricity and Energy A_airs, Tehran, Iran, submitted to Ministry of Energy (2010). 
3. Cunningham, W.H. Freight modal choice and competition in transportation: a critique and categorization of analysis techniques", Transportation Journal, 21(4), pp. 66{75 (1982). 
4. Norojono, O. and Young, W. A stated preference freightmode choice model", Transportation Planning and Technology, 26(2) (2003). A. Samimi et al./Scientia Iranica, Transactions A: Civil Engineering 27 (2020) 2690{2703 2701 
5. Arunotayanun, K. and Polak, J.W. Unobserved heterogeneity in freight shippers' mode choice behavior", In 11th World Conference on Transport Research, Berkeley, CA, USA (2007). 
6. Samimi, A., Kawamura, K., and Mohammadian, A. A behavioral analysis of freight mode choice decisions", Transportation Planning and Technology, 34(8), pp. 857{869 (2011). 
7. Brooks, M.R., Puckett, S.M., Hensher, D.A., and Sammons, A. Understanding mode choice decisions: a study of Australian freight shippers", Maritime Economics & Logistics, 14(3), pp. 274{299 (2012). 
8. Hwang, T.S. Freight demand modeling and logistics planning for assessment of freight systems' environmental impacts", Doctoral Dissertation, University of Illinois at Urbana-Champaign, IL, USA (2014). 
9. McKinnon, A.C. and Piecyk, M.I. Measurement of CO2 emissions from road freight transport: a review of UK experience", Energy Policy, 37(10), pp. 3733{ 3742 (2009). 
10. Bureau of Transportation Statistics, Commodity Flow Survey Standard Classi_cation of Transported Goods (SCTG), U.S. Department of Transportation, USA (2007). 
11. Mahalanobis, P.C. On the generalized distance in statistics", Proceedings National Institute of Science, India (1936). 
12. Wallis, K.F. Seasonal adjustment and relations between variables", Journal of the American Statistical Association, 69(345), pp. 18{31 (1974). 
13. Reis, V. Analysis of mode choice variables in shortdistance intermodal freight transport using an agentbased model", Transportation Research Part A: Policy and Practice, 61, pp. 100{120 (2014). 
14. de Jong, G., Tavasszy, L., Bates, J., et al. The issues in modelling freight transport at the national level", Case Studies on Transport Policy, 4(1), pp. 13{21 (2016). 
15. Ministry of Industry, Mine and Trade Submission of issued licenses", http://www.mimt.gov.ir/index.php? module=cdk&func=loadmodule&system=cdk&sismodule= user/content view.php&cn t id=45176&ctp id =23 &id=12446&sisOp=view 
16. Train, E.K., Discrete Choice Methods with Simulation, Cambridge University Press, New York, USA (2003). 
17. Oum, T.H. A cross sectional study of freight transport demand and rail-truck competition in Canada", The Bell Journal of Economics, 10(2), pp. 463{482 (1979). 
18. Information Technology Office, Statistical Yearbook of Rail Transportation, I.R. Iran Railways Organization, Tehran, Iran (2011). 
19. Information Technology Office, Statistical Yearbook of Road Transportation, I.R. of Iran Road Maintenance & Transportation Organization, Tehran, Iran (2011). 
20. Mirzaei, S., Transportation Energy Data Book, Iranian Academic Center for Education, Culture & Research, Tehran, Iran, submitted to Iranian Fuel Conservation Company (2011). 
21. Heger, J. Map of Iranian railways", http://www. iranrail.net/map.php 
22. Moridpour, S., Mazloumi, E., and Mesbah, M. Impact of heavy vehicles on surrounding traffic characteristics", Journal of Advanced Transportation, 49(4), pp. 535{552 (2015).
Volume 27, Issue 6 - Serial Number 6
Transactions on Civil Engineering (A)
November and December 2020
Pages 2690-2703
  • Receive Date: 13 May 2017
  • Revise Date: 16 May 2018
  • Accept Date: 22 April 2019