Does energy follow form? The case of household travel in Jinan, China

  • Yang Jiang
  • Pericles Christopher Zegras
  • Dongquan He
  • Qizhi Mao
Original Article


Rapidly increasing transportation energy use in China poses challenges to national energy security and the mitigation of greenhouse gas emissions. Meanwhile, the development of automobile oriented neighborhood structures, such as superblock housing, currently dominates urban expansion, and construction in Chinese cities. This research takes an empirical approach to understanding the relationship between neighborhood type and household travel energy use in Jinan, China, by examining nine neighborhoods that represent the four types of urban community commonly found in Chinese cities: traditional, grid, enclave, and superblock. After conducting a survey, we derive disaggregate household transport energy uses from the’ self-reported weekly travel diaries. Comparative analysis and two-step instrumental variable models are employed. Results show that, all else being equal, households located in superblock neighborhoods consume more transportation energy than those in other neighborhood types, because such households tend to own more cars and travel longer distances. Proximity to transit corridors and greater distance from the city center are also associated with higher household transport energy use in these neighborhoods, although both impacts are minor, partially because of the offsetting effects of car ownership. Overall, the analysis suggests that, to help chart a more energy-efficient future in urban China, policymakers should (1) examine past neighborhood designs to find alternatives to the superblock, (2) focus on strategic infill development, (3) encourage greater use of bicycles and e-bikes as a substitute for larger motorized vehicles, (4) improve the efficiency of public transportation, and (5) consider ways to shape citizens’ preferences for more energy-efficient modes of travel.


China Climate change Energy consumption Transportation Urban form 



This work is supported by the Energy Foundation, the Low Carbon Energy University Alliance (No. 2011LC002), and the National Natural Science Foundation of China (No.51378278). We acknowledge our research partners at Tsinghua University, Shandong University, Beijing Normal University, and Massachusetts Institute of Technology. Specifically, we thank Prof. Dennis Frenchman for identifying the four neighborhood typologies in Jinan; Prof. Zhang Ruhua and Prof. Zhang Lixin for organizing local survey work; and Yang Chen for data cleaning. We also thank Dr. Jinhua Zhao, Dr. Michael Wang, and three anonymous referees for valuable comments and suggestions.


  1. BP (2013) BP statistical review of world energy June 2013. Cited June 2013
  2. Cao X, Mokhtarian P, Handy S (2009) Examining the impacts of residential self selection on travel behaviour: a focus on empirical findings. Transp Rev 29(3):359–395CrossRefGoogle Scholar
  3. Cervero R, Day J (2008) Suburbanization and transit-oriented development in China. Transp Policy 15(5):315–323CrossRefGoogle Scholar
  4. Chen R, Wang J (2007) Energy and transportation: a case study in China. IEEE Intell Syst 22(3):10–12CrossRefGoogle Scholar
  5. Cherry CR, Weinert JX, Xinmiao Y (2009) Comparative environmental impacts of electric bikes in China. Transp Res D 14:281–290CrossRefGoogle Scholar
  6. Cheslow MD, Neels JK (1980) Effect of urban development patterns on transportation energy use. Transp Res Rec 764:70–78Google Scholar
  7. Darido G, Torres-Montoya M, Mehndiratta S (2013) Urban transport and CO2 emissions: some evidence from Chinese cities. WIREs Energy Environ. doi: 10.1002/wene.71 Google Scholar
  8. Emrath P, Liu F (2008) Vehicle carbon dioxide emissions and the compactness of residential development. Cityscape: J Policy Dev Res 10(3):185–202Google Scholar
  9. Frank LD, Stone B, Bachman W (2000) Linking land use with household vehicle emissions in the central Puget Sound: methodological framework and findings. Transp Res D 5:173–196CrossRefGoogle Scholar
  10. Frank LD, Greenwald MJ, Winkelman S, Chapman J, Kavage S (2009) Carbonless footprints: promoting health and climate stabilization through active transportation. Prev Med 50(1):99–105Google Scholar
  11. Guo J, Liu H, Jiang Y, He D, Wang Q, Meng F, He K (2014) Neighborhood form and CO2 emission: evidence from 23 neighborhoods in Jinan, China. Front Environ Sci Eng 8(1):79–88CrossRefGoogle Scholar
  12. Handy S (1996) Methodologies for exploring the link between urban form and travel behavior. Transp Res D 1(2):151–165CrossRefGoogle Scholar
  13. He K, Huo H, Zhang Q, He D, An F, Wang M, Walsh MP (2005) Oil consumption and CO2 emissions in China’s road transport: current status, future trends, and policy implications. Energy Policy 33(12):1499–1507CrossRefGoogle Scholar
  14. Holden E, Norland IT (2005) Three challenges for the compact city as a sustainable urban form: household consumption of energy and transport in eight residential areas in the greater Oslo region. Urban Stud 42(12):2145–2166CrossRefGoogle Scholar
  15. Hong J, Shen Q (2013) Residential density and transportation emissions: examining the connection by addressing spatial autocorrelation and self-selection. Transp Res D 22:75–79CrossRefGoogle Scholar
  16. Huo H, Zhang Q, He K, Yao Z, Wang M (2012) Vehicle-use intensity in China: current status and future trend. Energy Policy 43:6–16CrossRefGoogle Scholar
  17. International Energy Agency (2007) World energy outlook 2007: China and India insights. International Energy Agency, WashingtonGoogle Scholar
  18. Kenworthy JR (2008) Energy use and CO2 production in the urban passenger transport systems of 84 international cities: findings and policy implications. In: Droege P (ed) Urban energy transition: from fossil fuels to renewable power. Elsevier, London, pp 211–236CrossRefGoogle Scholar
  19. Li JP, Walker JL, Srinivasan S, Anderson WP (2010) Modeling private car ownership in China: investigating the impact of urban form across mega-cities. J Transp Res Board 2193:76–84CrossRefGoogle Scholar
  20. Massachusetts Institute of Technology, Tsinghua University (2010) Making the clean energy city in China: year 1 report. Submitted to Energy Foundation, Massachusetts Institute of TechnologyGoogle Scholar
  21. Mokhtarian PL, Cao X (2008) Examining the impacts of residential self-selection on travel behavior: a focus on methodologies. Transp Res B 42(3):204–228CrossRefGoogle Scholar
  22. Monson K (2008) String block vs superblock patterns of dispersal in China. Archit Des 78(1):46–53Google Scholar
  23. Naess P (2010) Residential location, travel, and energy use: the case of Hangzhou metropolitan area. J Transp Land Use 3(3):27–59Google Scholar
  24. Naess P, Sandberg SL (1996) Workplace location, modal split, and energy use for commuting trips. Urban Stud 33(3):557–580CrossRefGoogle Scholar
  25. National Bureau of Statistics (2008) China statistical yearbook 2008. China Statistics Press, BeijingGoogle Scholar
  26. Newman WG, Kenthworthy JR (1989) Gasoline consumption and cities. J Am Plan Assoc 55:24–25CrossRefGoogle Scholar
  27. Norman J, MacLean H, Kennedy C (2006) Comparing high and low residential density: life-cycle analysis of energy use and greenhouse gas emissions. J Urban Plann Dev 132(1):10–21CrossRefGoogle Scholar
  28. Pan H, Shen Q, Zhang M (2009) Influence of urban form on travel behaviour in four neighbourhoods of Shanghai. Urban Stud 46(2):275–294CrossRefGoogle Scholar
  29. Sigelman L, Zeng L (1999) Analyzing censored and sample-selected data with Tobit and Heckit models. Polit Anal 8(2):167–182CrossRefGoogle Scholar
  30. Statistics Bureau of Jinan (2013) Jinan statistical yearbook 2013. China Statistics Press, BeijingGoogle Scholar
  31. Stone B, Mednick AC, Holloway T, Spak SN (2007) Is compact growth good for air 1uality? J Am Plan Assoc 37:404–418CrossRefGoogle Scholar
  32. Tobin J (1958) Estimation of relationships for limited dependent variables. Econometrica 26:24–36CrossRefGoogle Scholar
  33. VandeWeghe JR, Kennedy C (2007) A spatial analysis of residential greenhouse gas emissions in the Toronto census metropolitan area. J Ind Ecol 11(2):133–144CrossRefGoogle Scholar
  34. Wang D, Chai Y (2009) The jobs-housing relationship and commuting in Beijing, China: the legacy of Danwei. J Transp Geogr 17(1):30–38CrossRefGoogle Scholar
  35. Woetzel J, Joerss M, Bradley R (2009) China’s green revolution: prioritizing technologies to achieve energy and environmental sustainability. McKinsey & Company, BeijingGoogle Scholar
  36. Zegras C (2010) The built environment and motor vehicle ownership and use: evidence from Santiago de Chile. Urban Stud 47(8):1793–1817CrossRefGoogle Scholar
  37. Zhao J (2009) Preference accommodating and preference shaping: incorporating traveler preferences into transportation planning. Dissertation, Massachusetts Institute of TechnologyGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of ArchitectureTsinghua UniversityBeijingChina
  2. 2.China Sustainable Transportation CenterBeijingChina
  3. 3.Department of Urban Studies and Planning, Massachusetts Institute of TechnologyCambridgeUSA
  4. 4.The Energy Foundation Beijing OfficeBeijingChina

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