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The influence of street environments on fuel efficiency: insights from naturalistic driving

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Abstract

Fuel consumption and greenhouse gas emissions in the transportation sector are a result of a “three-legged stool”: fuel types, vehicle fuel efficiency, and vehicle miles travelled (VMT). While there is a substantial body of literature that examines the connection between the built environment and total VMT, few studies have focused on the impacts of the street environment on fuel consumption rate. Our research applied structural equation modeling to examine how driving behaviors and fuel efficiency respond to different street environments. We used a rich naturalistic driving dataset that recorded detailed driving patterns of 108 drivers randomly selected from the Southeast Michigan region. The results show that, some features of compact streets such as lower speed limit, higher intersection density, and higher employment density are associated with lower driving speed, more speed changes, and lower fuel efficiency; however, other features such as higher population density and higher density of pedestrian-scale retails improve fuel efficiency. The aim of our study is to gain further understanding of energy and environmental outcomes of the urban areas and the roadway infrastructure we plan, design, and build and to better inform policy decisions concerned with sustainable transportation.

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References

  • Ahn K, Rakha H (2009) A field evaluation case study of the environmental and energy impacts of traffic calming. Transp Res Part D Transp Environ 14(6):411–424. doi:10.1016/j.trd.2009.01.007

    Article  Google Scholar 

  • Banister D, Watson S, Wood C (1997) Sustainable cities: transport, energy, and urban form. Environ Plan B Plan Des 24(1):125–143

    Article  Google Scholar 

  • Brundell-Freij K, Ericsson E (2005) Influence of street characteristics, driver category and car performance on urban driving patterns. Transp Res Part D 10(3):213–229

    Article  Google Scholar 

  • Cervero R, Kockelman KM (1997) Travel demand and the 3Ds: density, diversity, and design. Transp Res D 2(3):199–219

    Article  Google Scholar 

  • Cervero R, Murakami J (2010) Effects of built environments on vehicle miles traveled: evidence from 370 US urbanized areas. Environ Plan A 42:400–418

    Article  Google Scholar 

  • Coelho MC, Frey HC, Rouphail NM, Zhai H, Pelkmans L (2009) Assessing methods for comparing emissions from gasoline and diesel light-duty vehicles based on microscale measurements. Transp Res Part D Transp Environ 14(2):91–99. doi:10.1016/j.trd.2008.11.005

    Article  Google Scholar 

  • Congress for the New Urbanism (2013) Charter of the new urbanism, 2nd edn. McGraw-Hill Professional

  • Duany A, Plater-Zyberk E, Speck J (2001) Suburban nation: the rise of sprawl and the decline of the American dream. North Point Press, New York

    Google Scholar 

  • Duany A, Speck J, Lydon M (2009) The smart growth manual. McGraw-Hill, New York

    Google Scholar 

  • EPA (2001) EPA guidance: improving air quality through land use activities. Transportation and Regional Programs Division, Office of Transportation and Air Quality, Washington

    Google Scholar 

  • EPA (2010) 2010 Fuel economy guide. U.S. Department of Energy, U.S. Environmental Protection Agency

  • Ericsson E (2000) Variability in urban driving patterns. Transp Res Part D 5:337–354

    Article  Google Scholar 

  • Ericsson E (2001) Independent driving pattern factors and their influence on fuel use and exhaust emission factors. Transp Res Part D 6(5):324–345

    Article  Google Scholar 

  • Ewing R, Cervero R (2001) Travel and the built environment: a synthesis. Transp Res Rec 1780(1):87–114

    Article  Google Scholar 

  • Ewing R, Cervero R (2010) Travel and the built environment. J Am Plan Assoc 76(3):265–294

    Article  Google Scholar 

  • Ewing R, Bartholomew K, Winkelman S, Walters J, Chen D (2008) Growing cooler: evidence on urban development and climate change. ULI, Washington, DC

    Google Scholar 

  • Fitzpatrick K, Carlson P, Brewer M, Wooldridge M (2001) Design factors that affect driver speed on suburban streets. Transportation Research Record 1751 (Paper No. 01-2163)

  • Frank LD, James FS, Terry LC, James EC et al (2006) Many pathways from land use to health. Am Plan Assoc J Am Plan Assoc 72(1):75

    Article  Google Scholar 

  • Frey HC, Zhang K, Rouphail NM (2010) Vehicle-specific emissions modelling based upon on-road measurements. Environ Sci Technol 44(9):3594–3600. doi:10.1021/es902835h

    Article  CAS  Google Scholar 

  • Galster G, Hanson R, Ratcliffe MR, Wolman H, Coleman S, Freinage J (2001) Wrestling sprawl to the ground: defining and measuring an elusive concept. Housing Policy Debate 12(4):681–717

    Article  Google Scholar 

  • Grengs J (2010) Job accessibility and the modal mismatch in Detroit. J Transp Geogr 18(1):42–54. doi:10.1016/j.jtrangeo.2009.01.012

    Article  Google Scholar 

  • Hastie T, Tibshirani R, Friedman J, Hastie T, Friedman J, Tibshirani R (2009) The elements of statistical learning, vol 1, 2. Springer, Heidelberg

    Book  Google Scholar 

  • Hayduk LA (1988) Structural equation modeling with LISREL: essentials and advances. JHU Press

  • Kenworthy JR, Newman PWG, Lyons TJ (1992) The ecology of urban driving I—methodology. Transp Res Part A Policy Pract 26(3):263–272. doi:10.1016/0965-8564(92)90036-7

    Article  Google Scholar 

  • Kline RB (2011) Principles and practice of structural equation modelling. Guilford press, New York

    Google Scholar 

  • Liu C, Shen Q (2011) An empirical analysis of the influence of urban form on household travel, energy consumption, and emissions. Comput Environ Urban Syst 35(5):347–357

    Article  Google Scholar 

  • Malakootian M, Yaghmaeian K (2004) Investigation of carbon monoxide in heavy traffic intersections of municipal districts. Int J Environ Sci Technol 1(3):227–231

    Article  CAS  Google Scholar 

  • McCann B, Rynne S (2010) Complete streets: best policy and implementation practices. American Planning Association (Planners Press)

  • Nesamani JS, Saphores J-D, McNally MG, Jayakrishnan R (2011) The Influence of emission specific characteristics on vehicle operation: a micro-simulation analysis. Institute of Transportation Studies, University of California, Irvine

    Google Scholar 

  • Newman PWG, Kenworthy JR (1989) Gasoline consumption and cities. Am Plan Assoc J Am Plan Assoc 55(1):24

    Article  Google Scholar 

  • NHTS (2004) 2001 National household travel survey user’s guide (version 3). U.S Department of Transportation Federal Highway Administration, Washington

    Google Scholar 

  • Pandian S, Gokhale S, Ghoshal AK (2009) Evaluating effects of traffic and vehicle characteristics on vehicular emissions near traffic intersections. Transp Res Part D Transp Environ 14(3):180–196. doi:10.1016/j.trd.2008.12.001

    Article  Google Scholar 

  • Rassafi A, Vaziri M, Azadani A (2006) Strategies for utilizing alternative fuels by Iranian passenger cars. Int J Environ Sci Technol 3(1):59–68

    Article  CAS  Google Scholar 

  • U.S. Department of Energy (2013) International Energy Outlook 2013 early release. Washington, DC

  • U.S. DOT (2010) Transportation’s role in reducing U.S. greenhouse gas emissions report to Congress, vol 1. U.S. DOT, Washington, DC

  • U.S. Environmental Protection Agency (2013) Inventory of U.S. greenhouse gas emissions and sinks, 1990–2011

  • Várhelyi A (2002) The effects of small roundabouts on emissions and fuel consumption: a case study. Transp Res Part D Transp Environ 7(1):65–71. doi:10.1016/S1361-9209(01)00011-6

    Article  Google Scholar 

  • Wang Z, Wu Y, Zhou Y, Li Z, Wang Y, Zhang S, Hao J (2013) Real-world emissions of gasoline passenger cars in Macao and their correlation with driving conditions. Int J Environ Sci Technol 1–12

Download references

Acknowledgments

The authors wish to acknowledge the support of University of Michigan Transportation Research Institute which provided the naturalistic driving dataset and Southeast Michigan Council of Government which provided the road network data used in this study.

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Correspondence to X. Wang.

Appendices

Appendix 1

See Table 4.

Table 4 Model fit indices

Appendix 2

See Table 5.

Table 5 Correlation Coefficient and VIF

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Wang, X., Liu, C., Kostyniuk, L. et al. The influence of street environments on fuel efficiency: insights from naturalistic driving. Int. J. Environ. Sci. Technol. 11, 2291–2306 (2014). https://doi.org/10.1007/s13762-014-0584-1

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  • DOI: https://doi.org/10.1007/s13762-014-0584-1

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