Skip to main content
SpringerLink
Log in

Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China

  • Chapter
  • First Online:
Computational Urban Planning and Management for Smart Cities (CUPUM 2019)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Domesticity contributes a significant portion to the amount of total CO2 emissions. Understanding the influence factors of household travel carbon emissions helps develop effective policy to minimize carbon emissions . This paper presents an empirical study of household travel carbon emissions with 1194 samples in Wuhan, China . Besides looking at the household socioeconomic characteristics, the study pays attention to the role of the spatial context in household living and travel and how it affects travel emission outcomes. A regression analysis shows urban spatial structure and land use context offer additional explanatory power to variation of travel carbon emissions under the effects of socio-economic factors controlled. Emission hot spots and high-emission households most likely appear in newly developed suburban areas. The paper concludes by suggesting both place-based and people-based policies to achieve the goal of reducing carbon emissions .

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Banister D (2011) Cities, mobility and climate change. J Transp Geogr 19(6):1538–1546

    Article  Google Scholar 

  • Boarnet MG, Crane R (2001) Travel by design: the influence of urban form on travel. Oxford University Press on Demand

    Google Scholar 

  • Cervero R (2002) Built environments and mode choice: toward a normative framework. Transp Res Part D: Transp Environ 7(4):265–284

    Article  Google Scholar 

  • Chai YW, Xiao ZP, Liu ZL (2012) Low-carbon optimization strategies based on CO2 emission mechanism of household daily travels: a case study of Beijing. Geogr Res 2

    Google Scholar 

  • Chen F (2010) Research on strategy of low carbon city: Shanghai empirical analysis. China Architecture & Building Press, Beijing, China

    Google Scholar 

  • Defra (2008) Carbon trust & energy saving trust. Low carbon cities. Carbon Trust, London

    Google Scholar 

  • Eggelston HS, Buendia L, Miwa K, Ngara T, Tanabe K (2006) Guidelines for national greenhouse gas inventories. IPCC National Greenhouse Gas Inventories Programme, Hayama, Japan

    Google Scholar 

  • Ewing R, Clemente O (2013) Measuring urban design: metrics for livable places. Island Press

    Google Scholar 

  • Frank LD, Pivo G (1994) Impacts of mixed use and density on utilization of three modes of travel: single-occupant vehicle, transit, and walking. Transp Res Rec 1466:44–52

    Google Scholar 

  • Glaeser EL, Kahn ME (2010) The greenness of cities: carbon dioxide emissions and urban development. J Urban Econ 67(3):404–418

    Article  Google Scholar 

  • Goovaerts P, Jacquez GM, Marcus A (2005) Geostatistical and local cluster analysis of high-resolution hyperspectral imagery for detection of anomal ies. Remote Sens Environ 95(3):351–367

    Article  Google Scholar 

  • GHG Protocol (2005) Calculating CO2 emissions from mobile sources. Greenhouse Gas Protocol, Publishing city (GHG Protocol)

    Google Scholar 

  • Huang Y, Wu X (2012) CO2 emission from road transport and the emission reduction potential in Wuhan City. Environ Prot Sci 38:9–21

    Google Scholar 

  • IEA (2011) CO2 emissions from fuel combustion (2010)–highlights. International Energy Agency, Publisher city

    Google Scholar 

  • Jiang H, Xiao R, Wu J (2013) The impact pattern of urban family carbon emission and implications for the low-carbon resident community planning: a case study of Guangzhou. Mod Urban Res pp 100–106

    Google Scholar 

  • Kerkhof AC, Benders RM, Moll HC (2009) Determinants of variation in household CO2 emissions between and within countries. Energy Policy 37(4):1509–1517

    Article  Google Scholar 

  • Khattak AJ, Rodriguez D (2005) Travel behavior in neo-traditional neighborhood developments: a case study in USA. Transp Res Part A: Policy Pract 39(6):481–500

    Google Scholar 

  • Ko J, Park D, Lim H, Hwang IC (2011) Who produces the most CO2 emissions for trips in the Seoul metropolis area? Transp Res Part D: Transp Environ 16(5):358–364

    Article  Google Scholar 

  • Litman T, Steele R (2017) Land use impacts on transport. Victoria Transport Policy Institute, Canada

    Google Scholar 

  • Liu Z, Ma J, Chai Y (2017) Neighborhood-scale urban form, travel behavior, and CO2 emissions in Beijing: implications for low-carbon urban planning. Urban Geogr 38(3):381–400

    Article  Google Scholar 

  • Miehe R, Scheumann R, Jones CM, Kammen DM, Finkbeiner M (2016) Regional carbon footprints of households: a German case study. Environ Dev Sustain 18(2):577–591

    Article  Google Scholar 

  • Mindali O, Raveh A, Salomon I (2004) Urban density and energy consumption: a new look at old statistics. Transp Res Part A: Policy Pract 38(2):143–162

    Google Scholar 

  • Ord JK, Getis A (1995) Local spatial autocorrelation statistics: distributional issues and an application. Geogr Anal 27(4):286–306

    Article  Google Scholar 

  • Qin BS, Shao R (2011) Low-carbon city and spatial structure optimization: connotation, evidences and practices. Urban Plan Int 2011:72–77

    Google Scholar 

  • Qiong B (2009) Transforming economic development mode, constructing low carbon cities. The Central People’s Government of the People’s Republic of China, Beijing

    Google Scholar 

  • Un-Habitat (2012) State of the world’s cities 2008/9: Harmonious Cities. Routledge

    Google Scholar 

  • United Nations Development Programme (UNDP) (2013) China human development report (2013). UNDP, Beijing

    Book  Google Scholar 

  • Wang Z, Liu W (2015) Determinants of CO2 emissions from household daily travel in Beijing, China: individual travel characteristic perspectives. Appl Energy 158:292–299

    Article  Google Scholar 

  • Wang Y, Yang L, Han S, Li C, Ramachandra T (2017) Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries. Mitig Adapt Strat Glob Change 22(7):993–1019

    Article  Google Scholar 

  • Wu J (2010) The research on block characteristics impact on residents travel. Master, Tongji

    Google Scholar 

  • Wuhan Municipal Bureau of Statistics (2018) Wuhan statistical yearbook (2017). Wuhan Municipal Bureau of Statistics, Wuhan

    Google Scholar 

  • Wuhan Statistics Bureau (1978–2012) Wuhan Statistical Yearbook (1978–2012). Statistical Publishing House, Beijing, China

    Google Scholar 

  • Xiao Z, Lenzer JH Jr, Chai Y (2017) Examining the uneven distribution of household travel carbon emissions within and across neighborhoods: the case of Beijing. J Reg Sci 57(3):487–506

    Article  Google Scholar 

  • Yan W, Minjun S (2009) CO2 emission induced by urban household consumption in China. Chin J Popul Resour Environ 7(3):11–19

    Article  Google Scholar 

  • Yang Y, Wang C, Liu W, Zhou P (2018) Understanding the determinants of travel mode choice of residents and its carbon mitigation potential. Energy Policy 115:486–493

    Article  Google Scholar 

  • Zahabi SAH, Miranda-Moreno L, Patterson Z, Barla P, Harding C (2012) Transportation greenhouse gas emissions and its relationship with urban form, transit accessibility and emerging green technologies: a Montreal case study. Procedia -Soc Behav Sci 54:966–978

    Article  Google Scholar 

  • Zhang S (2010) Study on urban-life energy use and impact of human behaviors through investigations in seven Chinese cities. M.A. Thesis. Tsinghua University, Beijing

    Google Scholar 

  • Zhang SL, Zhang K (2007) Comparison between general Moran’s Index and Getis-Ord general G of spatial autocorrelation. Acta Sci Nat Univ Sunyatseni 4:022

    Google Scholar 

  • Zhang M, Zhao P (2017) The impact of land-use mix on residents’ travel energy consumption: new evidence from Beijing. Transp Res Part D: Transp Environ 57:224–236

    Article  Google Scholar 

Download references

Acknowledgements

The study was supported by Ministry of Science and Technology, China (2015BAJ05B00), Australian Research Council (DP1094801), China National Science Foundation under Grant (No. 51278385), and the Snell Grant of Center for Sustainable Development at the University of Texas at Austin. USDOT University Transportation Center Cooperative Mobility for Competitive Megaregions (CM2) provided in-kind support.

Author information

Authors and Affiliations

  1. School of Urban Design, Wuhan University, 8 Donghu Road South, Wuchang, Wuhan, 430072, Hubei Province, China

    Jingnan Huang & Ningrui Du

  2. School of Architecture, The University of Texas at Austin, Austin, USA

    Ming Zhang

Authors
  1. Jingnan Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ming Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ningrui Du
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ningrui Du .

Editor information

Editors and Affiliations

  1. Human Geography and Planning, Utrecht University, Utrecht, The Netherlands

    Stan Geertman

  2. School of Urban Design, Wuhan University, Wuhan, China

    Qingming Zhan

  3. School of Art, Architecture and Design, University of South Australia, Adelaide, SA, Australia

    Andrew Allan

  4. Faculty of the Built Environment, University of New South Wales, Sydney, NSW, Australia

    Christopher Pettit

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Huang, J., Zhang, M., Du, N. (2019). Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China. In: Geertman, S., Zhan, Q., Allan, A., Pettit, C. (eds) Computational Urban Planning and Management for Smart Cities. CUPUM 2019. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-19424-6_11

Download citation

Publish with us

Policies and ethics

Search

Navigation