Oil vulnerability in the greater Toronto area: impacts of high fuel prices on urban form and environment

Original Paper
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Abstract

The rising cost of fossil fuel is a recognized phenomenon, but its impact at the household level is still widely unknown. Understanding how the socioeconomic impacts of rising fuel prices might be distributed across urban areas is a critical issue that is necessary for sustainable urban transportation planning. This study has refined the vulnerability index for petrol expense rises (VIPER) framework [previously proposed by Dodson and Sipe Urban Stud 44(1):37–62, (2007)] by incorporating travel survey data to better represent households’ car dependence. Through this modified VIPER framework, we seek to understand how the socioeconomic impact of rising fuel costs will be distributed across the greater toronto area. The findings of this research reveal a pattern in the distribution of oil vulnerability that depicts a three-ring configuration: expanding outwards from the lowest oil vulnerability in the urban core (1st ring), followed by the highest oil vulnerability in the city’s inner suburbs (2nd ring), and a transition to a lower oil vulnerability in the suburban areas (3rd ring). Such results reveal the need for transportation and land use policy measures that tackle the transportation-related social and economic disadvantages due to high fuel prices in the future. The transportation and land use policy measures referred to in this paper focus on the reduction in private automobile use. Therefore, those measures aimed at mitigating oil vulnerability may also have the environmental benefits of reducing greenhouse gas emissions and preserving greenfields.

Keywords

Oil vulnerability Automobile dependence Rising oil prices Urban spatial analysis 
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Notes

Acknowledgments

The authors would like to acknowledge the work completed by Dodson and Sipe (2007) on the VIPER index for Australia’s urban regions. This paper discusses a modified version of the original VIPER index which is then used to assess the spatial distribution of oil vulnerability in the Greater Toronto Area. The authors are thankful to the University of Toronto and especially the Department of Civil Engineering.

References

  1. Abbaspour M, Soltaninejad A (2004) Design of an environmental assessment model on the effect of vehicle emissions in greater Tehran on air pollution with economic sensitivity. Int J Environ Sci Technol 1:27–38CrossRefGoogle Scholar
  2. American Public Transportation Association (2008) Public transportation reduces greenhouse gases and conserves energy: the benefits of public transportation. http://www.apta.com/resources/reportsandpublications/Documents/greenhouse_brochure.pdf
  3. Asche F et al (2012) Gas versus oil prices the impact of shale gas. Energy Policy 44:117–124CrossRefGoogle Scholar
  4. Barton H (1992) City transport: strategies for sustainability. In: Breheny MJ (ed) Sustainable development and urban form, European research in regional science 2. Pion, London, pp 197–216Google Scholar
  6. Campbell C (2002) Oil depletion-updated through 2001. http://www.oilcrisis.com/campbell/
  7. Canada Revenue Agency (2007) Imposition of excise tax on fuel-inefficient vehicles: notice to all licensed manufacturers and wholesalers, and importers of automobiles. The Canada revenue agency website: http://www.cra-arc.gc.ca/E/pub/et/etsl64/etsl64-e.html
  8. Cooper J, Donegan K, Ryley T, Smyth A, Granzow E (2002) Densification and urban compaction: reinforcing the drive for sustainability. Transp Res Rec 1817:102–109CrossRefGoogle Scholar
  9. Data Management Group (2008) Transportation tomorrow survey (TTS), 2006. Department of Civil Engineering, University of TorontoGoogle Scholar
  10. Dodson J, Sipe N (2007) Oil vulnerability in the Australian city: assessing socioeconomic risks from higher urban fuel prices. Urban Stud 44(1):37–62CrossRefGoogle Scholar
  11. Dodson J, Sipe N (2008) Planned household risk: mortgage and oil vulnerability in Australian cities. Aust Plan 45(1):38–47CrossRefGoogle Scholar
  12. Energy and Climate Change Committee (2009) Fuel poverty: fifth Report 2009–10, Vol. 2, Oral and written evidence. Great Britain, Parliament: House of Commons Stationary OfficeGoogle Scholar
  13. Energy Information Administration (2013) NYMEX future prices, crude oil (light–sweet, cushing, Oklahoma–contract 1). Series history data, release date: 11/14/2013. http://www.eia.gov/dnav/pet/pet_pri_fut_s1_d.htm
  14. Frankel E, Menzies T (2012) Reducing oil use in transportation. Issues Sci Technol Winter 2012:51–56Google Scholar
  15. Gillham O (2002) The limitless city: a primer on the urban sprawl debate. Island Press, WashingtonGoogle Scholar
  16. Gjelten T (2012) The dash for gas: the golden age on an energy game-changer. World Aff January February 2012:43–52Google Scholar
  17. Gusdorf F, Hallegatte S (2007) Compact or spread-out cities: urban planning, taxation, and the vulnerability to transportation shocks. Energy Policy 35:4826–4838CrossRefGoogle Scholar
  18. Hirsch RL, Bezdek R, Wending R (2005) Peaking of world oil production: impacts, mitigation, & risk management. http://www.mnforsustain.org/oil_peaking_of_world_oil_production_parts1&2.htm
  19. Kenworthy J (2003) Transport energy use and greenhouse gases in urban passenger transport systems: a study of 84 global cities. In: International sustainability conference, Sep 17–19, Fremantle, Western AustraliaGoogle Scholar
  20. Krumdiek S (2007) Feedback control model of regional energy systems. IPENZ Engineering TreNz, 2007–002Google Scholar
  21. Krumdiek S, Page S, Dantas A (2010) Urban form and long-term fuel supply decline: a method to investigate the peak oil risks to essential activities. Transp Res 44:306–322Google Scholar
  22. Mees P (2000) A very public solution: transport in the dispersed city. Melbourne University Press, MelbourneGoogle Scholar
  23. Mees P (2010) Transport for suburbia: beyond the automobile age. Earthscan, LondonGoogle Scholar
  24. Ministry of Infrastructure (2006) Places to grow: growth plan for the greater golden horseshow. Ministry of Infrastructure, Province of OntarioGoogle Scholar
  25. Neilson AC (2006) Consumer insights into fuel prices. AC Neilson Company. www.acneilson.com
  26. Newman N (2008) The high price of oil. Engineering and technology, 10 May–23 May, 46–49Google Scholar
  27. Newman P, Kenworthy J (1989a) Cities and automobile dependence: an international sourcebook. Gower, AldershotGoogle Scholar
  28. Newman P, Kenworthy J (1989) Cities and automobile dependence: a sourcebook. Aldershot, Hants., EnglandGoogle Scholar
  29. Railsback L (2012) Depth and nature of giant petroleum discoveries through time as an indicator of resource depletion. J Ind Ecol. doi: 10.1111/j.1530-9290.2012.00524.x Google Scholar
  30. Rasaafi AA, Vaziri M, Azadani AN (2006) Strategies for utilizing alternative fuels by Iranian passenger cars. Int J Environ Sci Technol 3:59–68CrossRefGoogle Scholar
  31. Statistics Canada (2006) 2006 census dictionary (Catalogue Number 95-566-X). Retrieved March 17, 2013 from statistics Canada: http://www12.statcan.gc.ca/census-recensement/2006/ref/dict/pdf/92-566-eng.pdf
  32. Statistics Canada (2012a) Canada year book, energy, data tables for energy-Table 11.3 gasoline prices, selected cities, 1997 to 2011 (Catalogue Number 11-402-XWE). http://www.statcan.gc.ca/pub/11-402-x/2012000/chap/ener/tbl-eng.htm
  33. Statistics Canada (2012b) The consumer price index, October 2012. Minister of Industry: OttawaGoogle Scholar
  34. Williams K (1999) Urban intensification policies in England: problems and contradictions. Land Use Policy 16(3):167–178CrossRefGoogle Scholar

Copyright information

© Islamic Azad University (IAU) 2014

Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of TorontoTorontoCanada

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