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LI Jing, LO Kevin, ZHANG Pingyu, GUO Meng. Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China[J]. Chinese Geographical Science, 2017, 27(5): 722-734. doi: 10.1007/s11769-017-0904-8
Citation: LI Jing, LO Kevin, ZHANG Pingyu, GUO Meng. Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China[J]. Chinese Geographical Science, 2017, 27(5): 722-734. doi: 10.1007/s11769-017-0904-8
shu

Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China

doi: 10.1007/s11769-017-0904-8
  • 1.

    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;

  • 2.

    Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China;

  • 3.

    School of Geographical Science, Northeast Normal University, Changchun 130024, China

Funds:  Under the auspices of National Natural Science Foundation of China (No.41201159,41571152,41401478,41201160,41001076),the Key Research Program of the Chinese Academy of Sciences (No.KSZD-EW-Z-021-03,KZZD-EW-06-03)
More Information
  • Corresponding author: LI Jing,E-mail:lijingsara@iga.ac.cn
  • Received Date: 2017-01-13
  • Rev Recd Date: 2017-05-12
  • Publish Date: 2017-10-27
  • Promoting active travel behavior and decreasing transport-related carbon dioxide (CO2) emissions have become a priority in many Chinese cities experiencing rapid urban sprawl and greater automobile dependence. However, there are few studies that holistically examine the physical and social factors associated with travel CO2 emissions. Using a survey of 1525 shoppers conducted in Shenyang, China, this study estimated shopping-related travel CO2 emissions and examined how the built environment and individual socioeconomic characteristics contribute to shopping travel behavior and associated CO2 emissions. We found that, firstly, private car trips generate nearly eight times more carbon emissions than shopping trips using public transport, on average. Second, there was significant spatial autocorrelation with CO2 emissions per trip, and the highest carbon emissions were clustered in the inner suburbs and between the first and second circumferential roads. Third, shopping travel CO2 emissions per trip were negatively correlated with several built environment features including population density, the quantity of public transport stations, road density, and shop density. They were also found to be significantly related to the individual socio-economic characteristics of car ownership, employment status, and education level using a multinomial logistic regression model. These empirical findings have important policy implications, assisting in the development of measures that contribute to the sustainability of urban transportation and meet carbon mitigation targets.
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Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China

doi: 10.1007/s11769-017-0904-8
  • 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
  • 2. Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China;
  • 3. School of Geographical Science, Northeast Normal University, Changchun 130024, China
Funds:  Under the auspices of National Natural Science Foundation of China (No.41201159,41571152,41401478,41201160,41001076),the Key Research Program of the Chinese Academy of Sciences (No.KSZD-EW-Z-021-03,KZZD-EW-06-03)
    Corresponding author: LI Jing,E-mail:lijingsara@iga.ac.cn
  • Received Date: 2017-01-13
  • Rev Recd Date: 2017-05-12
  • Publish Date: 2017-10-27

Abstract: Promoting active travel behavior and decreasing transport-related carbon dioxide (CO2) emissions have become a priority in many Chinese cities experiencing rapid urban sprawl and greater automobile dependence. However, there are few studies that holistically examine the physical and social factors associated with travel CO2 emissions. Using a survey of 1525 shoppers conducted in Shenyang, China, this study estimated shopping-related travel CO2 emissions and examined how the built environment and individual socioeconomic characteristics contribute to shopping travel behavior and associated CO2 emissions. We found that, firstly, private car trips generate nearly eight times more carbon emissions than shopping trips using public transport, on average. Second, there was significant spatial autocorrelation with CO2 emissions per trip, and the highest carbon emissions were clustered in the inner suburbs and between the first and second circumferential roads. Third, shopping travel CO2 emissions per trip were negatively correlated with several built environment features including population density, the quantity of public transport stations, road density, and shop density. They were also found to be significantly related to the individual socio-economic characteristics of car ownership, employment status, and education level using a multinomial logistic regression model. These empirical findings have important policy implications, assisting in the development of measures that contribute to the sustainability of urban transportation and meet carbon mitigation targets.

LI Jing, LO Kevin, ZHANG Pingyu, GUO Meng. Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China[J]. Chinese Geographical Science, 2017, 27(5): 722-734. doi: 10.1007/s11769-017-0904-8
Citation: LI Jing, LO Kevin, ZHANG Pingyu, GUO Meng. Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China[J]. Chinese Geographical Science, 2017, 27(5): 722-734. doi: 10.1007/s11769-017-0904-8
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