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Transportation

, Volume 46, Issue 3, pp 841–857 | Cite as

The impacts of household features on commuting carbon emissions: a case study of Xi’an, China

  • Pu Lyu
  • Yongjie LinEmail author
  • Yuanqing Wang
Article
  • 221 Downloads

Abstract

This study contributes to the analysis of the household characteristics and household neighborhood ones affecting the transportation carbon dioxide emissions produced by commuters. This analysis integrated the household commuting measures of the travel mode, frequency, distance and household demographics using datasets from a metropolitan scale survey in the city of Xi’an, China. The results of the tests that used the field data from Xi’an, revealed that a significant positive relationship between commuting emissions and household size, income, and education level. Moreover, there is a significant relationship between the average age in the household and the commuting emissions. The methodology developed in this study measured the regional emissions by incorporating the impacts of the household characteristics and household neighborhood ones on the commuting emissions. A further exploration of the data showed that regional commuting carbon emissions are more likely to have a positive relationship with the mixed urban land use.

Keywords

Commuting emissions Household carbon emissions Household characteristics Land use 

Notes

Acknowledgements

The authors would like to acknowledge the support of the Asia Pacific Network for Global Change Research (ARCP2011-07CMY-Han) and the National Natural Science Foundation of China (51178055-E0807), and are grateful to the Australian Research Council (ARCDP1094801). The opinions and views expressed are those of the authors and do not necessarily of the sponsoring agency.

References

  1. Andrews, C.J.: Greenhouse gas emissions along the rural-urban gradient. J. Environ. Plan. Manag. 51(6), 847–870 (2008)Google Scholar
  2. Brand, C., Boardman, B.: Taming of the few—the unequal distribution of greenhouse gas emissions from personal travel in the UK. Energy Policy 36(1), 224–238 (2008)Google Scholar
  3. Brand, C., Goodman, A., Rutter, H., Song, Y., Ogilvie, D.: Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel. Appl. Energy 104, 158–169 (2013)Google Scholar
  4. Brand, C., Preston, J.M.: 60-20 emission—The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK. Transp. Policy 17(1), 9–19 (2010)Google Scholar
  5. Brown, M.A., Southworth, F., Sarzynski, A.: Shrinking the Carbon Footprint of Metropolitan America. Brook. Inst., Washington (2008)Google Scholar
  6. Büchs, M., Schnepf, S.: Who emits most? Associations between socio-economic factors and UK households’ home energy, transport, indirect and total CO2 emissions. Ecol. Econ. 90, 114–123 (2013)Google Scholar
  7. De Nazelle, A., Fruin, S., Westerdahl, D., Martinez, D., Ripoll, A., Kubesch, N., Nieuwenhuijsen, M.: A travel mode comparison of commuters’ exposures to air pollutants in Barcelona. Atmos. Environ. 59, 151–159 (2012)Google Scholar
  8. Dhakal, S.: Urban energy use and carbon emissions from cities in China and policy implications. Energy Policy 37(11), 4208–4219 (2009)Google Scholar
  9. Ding, C., Wang, Y., Tang, T., Mishra, S., Liu, C.: Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice. Transp. Res. Part D Transp. Environ. (2016). doi: 10.1016/j.trd.2016.08.004 Google Scholar
  10. Eilperin, J.: US Trying to Weaken G8 Climate Change Declaration. The Boston Globe, Boston (2007)Google Scholar
  11. Ewing, R., Cervero, R.: Travel and the built environment: a synthesis. Transp. Res. Rec. J. Transp. Res. Board 1780, 87–114 (2001)Google Scholar
  12. Ewing, R., Cervero, R.: Travel and the built environment: a meta-analysis. J. Am. Plan. Assoc. 76(3), 265–294 (2010)Google Scholar
  13. Frank, L.D., Stone, B., Bachman, W.: Linking land use with household vehicle emissions in the central Puget Sound: methodological framework and findings. Transp. Res. Part D Transp. Environ. 5(3), 173–196 (2000)Google Scholar
  14. Glaeser, E.L., Kahn, M.E.: The greenness of cities: Carbon dioxide emissions and urban development. J. Urban. Econ. Elsevier. 67(3), 404–418 (2010)Google Scholar
  15. Houghton, J.T., Meira Filho, L.G., Lim, B., Trennton, K., Mamaty, I., Bonduki, Y., Griggs, D.J., Callander, B.A.: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, 1–3. Intergovernmental Panel on Climate Change. UK Meteorological Office, Bracknell (1997)Google Scholar
  16. Huo, H., Wang, M., Zhang, X., He, K., Gong, H., Jiang, K., Jin, Y., Shi, Y., Yu, X.: Projection of energy use and greenhouse gas emissions by motor vehicles in China: Policy options and impacts. Energy Policy 43,37–48 (2012)Google Scholar
  17. Huo, H., Yao, Z., He, K., Yu, X.: Fuel consumption rates of passenger cars in China: labels versus real-world. Energy Policy 39, 7130–7135 (2011)Google Scholar
  18. International Energy Agency (IEA): World Energy Outlook 2008. OECD, Paris (2008)Google Scholar
  19. Jo, J.H., Golden, J.S., Shin, S.W.: Incorporating built environment factors into climate change mitigation strategies for Seoul, South Korea: a sustainable urban systems framework. Habitat Int. 33(3), 267–275 (2009)Google Scholar
  20. Kenny, T., Gray, N.F.: A preliminary survey of household and personal carbon dioxide emissions in Ireland. Environ. Int. 35(2), 259–272 (2009)Google Scholar
  21. Ko, J., Park, D., Lim, H., Hwang, I.C.: Who produces the most CO2 emissions for trips in the Seoul metropolis area? Transp. Res. Part D Transp. Environ. 16(5), 358–364 (2011)Google Scholar
  22. Kockelman, K.: Travel behavior as function of accessibility, land use mixing, and land use balance: evidence from San Francisco Bay Area. Transp. Res. Rec. J. Transp. Res. Board 1607, 116–125 (1997)Google Scholar
  23. Li, X., Duan, L., Wang, S., Duan, J., Guo, X., Yi, H., Hao, J.: Emission characteristics of particulate matter from rural household biofuel combustion in China. Energy Fuels 21(2), 845–851 (2007)Google Scholar
  24. Liu, L., Hou, K.: Study on gas consumption index for CNG bus. Gas Heat 29(1), 20–22 (2009)Google Scholar
  25. Ma, J., Chai, Y., Liu, Z.: The mechanism of CO2 emissions from urban transport based on individuals travel behavior in Beijing. Acta Geogr. Sin. 66(8), 1023–1032 (2011)Google Scholar
  26. Marshall, J.D.: Energy-efficient urban form. Environ. Sci. Technol. 42(9), 3133–3137 (2008)Google Scholar
  27. Meyer, M., Miller, E.: Urban Transport Planning: A Decision-oriented Approach, 2nd edn. McGraw-Hill Book Co., Singapore (2001)Google Scholar
  28. Mitra, A.P., Sharma, C., Ajero, M. A. Y.: Energy and emissions in south asian mega-cities: study on Kolkata, Delhi and Manila. Population (million) 12(10), 7-2 (2003)Google Scholar
  29. Newman, P.W.: Sustainability and cities: extending the metabolism model. Landsc. Urban Plan. 44(4), 219–226 (1999)Google Scholar
  30. Qin, B., Han, S.S.: Planning parameters and household carbon emission: evidence from high-and low-carbon neighborhoods in Beijing. Habitat Int. 37, 52–60 (2013)Google Scholar
  31. Roberts, B., Kanaley, T.: Urbanization and Sustainability in Asia: Case Studies of Good Practice. Asian Development Bank, Manila, Philippines (2006)Google Scholar
  32. Sovacool, B.K., Brown, M.A.: Twelve metropolitan carbon footprints: a preliminary comparative global assessment. Energy Policy 38(9), 4856–4869 (2010)Google Scholar
  33. Stead, D.: Relationships between transport emissions and travel patterns in Britain. Transp. Policy 6(4), 247–258 (1999)Google Scholar
  34. Stern, N.: Key Elements of a Global Deal on Climate Change. London School of Economics and Political Science, London (2008)Google Scholar
  35. Sun, X., Wilmot, C., Kasturi, T.: Household travel, household characteristics, and land use: an empirical study from the 1994 Portland activity-based travel survey. Transp. Res. Rec. J. Transp. Res. Board 1617, 10–17 (1998)Google Scholar
  36. Susilo, Y., Stead, D.: Individual carbon dioxide emissions and potential for reduction in the Netherlands and the United Kingdom. Transp. Res. Rec. J. Transp. Res. Board 2139, 142–152 (2009)Google Scholar
  37. United Nations Department of Economic and Social Affairs (UNDESA): World Population Prospects. United Nations, New York (2008)Google Scholar
  38. Vandenbergh, M.P., Steinemann, A.C.: The carbon-neutral individual. NYUL Rev. 82, 1673 (2007)Google Scholar
  39. Wang, Y., Li, L., Wang, Z., Lv, T., Wang, L.: Mode shift behavior impacts from the introduction of metro service: case study of Xi’an, China. J. Urban Plan. Dev. 139(3), 216–225 (2013)Google Scholar
  40. Wang, Y., Yang, L., Han, S., Li, C., Ramachandra, T.V.: Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries. Mitig. Adapt. Strateg. Glob. Change 22(7), 993–1019 (2017)Google Scholar
  41. Weber, C.L., Matthews, H.S.: Quantifying the global and distributional aspects of American household carbon footprint. Ecol. Econ. 66(2), 379–391 (2008)Google Scholar
  42. Wheeler, S.: Urban planning and global climate change. City Reader, 5th ed, pp. 458–467. Taylor & Francis, New York (2011)Google Scholar
  43. Xiao, Z., Chai, Y., Liu, Z.: Quantitative distribution and related factors for household daily travel CO2 emissions in Beijing. Urban Stud. 9, 247–257 (2011)Google Scholar
  44. Yang, L., Wang, Y., Han, S., Li, C., Liu, Y., Ren, Q.: Carbon dioxide emissions from commuter traffic in Xi’an, China. Proc. Inst. Civ. Eng-Transp. 170(1),8–18 (2016)Google Scholar
  45. Yao, X., Fang, X., Zhang, H.: Changes in economic return to schooling and employment rate with the expansion of higher education. Econ. Issues China 277(2), 3–11 (2013)Google Scholar
  46. Zhang, S., Wu, Y., Liu, H., Huang, R., Yang, L., Li, Z., Fu, L., Hao, J.: Real-world fuel consumption and CO2 emissions of urban public buses in Beijing. Appl. Energy 113, 1645-1655 (2014)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Traffic Engineering, School of HighwayChang’an UniversityXi’anChina
  2. 2.School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhouChina

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