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What Parameters Influence the Spatial Variations in CO2 Emissions from Road Traffic in Berlin? Implications for Urban Planning to Reduce Anthropogenic CO2 Emissions

Author

Listed:
  • Diana Reckien

    (Potsdam Institute for Climate Impact Research, PO 601203, reckien@pik-potsdam.de)

  • Maren Ewald

    (Seeheim-Jugenheim, Germany, maren. ewald@web.de)

  • Ottmar Edenhofer

    (Potsdam Institute for Climate Impact Research, PO 601203, edenhofer@pik potsdam.de)

  • Matthias K. B. Liideke

    (Potsdam Institute for Climate Impact Research, PO 601203, luedeke@ pik-potsdam.de)

Abstract

The aim of this paper is to find major influencing factors of CO 2 emissions from road traffic in urban areas. The approach of the study involved a statistical analysis on the basis of the formerly 23 urban districts of the German capital of Berlin. Correlation and regression analyses of empirical data from the settlement structure, the traffic structure and income have found that the number of jobs per district and the share of the well-off population can best describe the CO 2 emissions from traffic in Berlin. Also the number of residents, the total built area, the number of cars and the amount of traffic area are positively related to the dependent variable. Therefore, the possibilities to reduce CO 2 emissions from road traffic for urban planners seem limited: a restriction of space dedicated to traffic and a change of transport means for commuting represent leverage points, according to the analysis. The other significant indicators are less able to be influenced by local and regional decision-makers-an alteration in the means of mobility to less CO 2 emitting alternatives is needed if CO 2 emissions from road traffic are extensively to be decreased.

Suggested Citation

  • Diana Reckien & Maren Ewald & Ottmar Edenhofer & Matthias K. B. Liideke, 2007. "What Parameters Influence the Spatial Variations in CO2 Emissions from Road Traffic in Berlin? Implications for Urban Planning to Reduce Anthropogenic CO2 Emissions," Urban Studies, Urban Studies Journal Limited, vol. 44(2), pages 339-355, February.
    • Handle: RePEc:sae:urbstu:v:44:y:2007:i:2:p:339-355
    DOI: 10.1080/00420980601136588
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    References listed on IDEAS

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    Cited by:

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    2. Diana Reckien & Johannes Flacke & Marta Olazabal & Oliver Heidrich, 2015. "The Influence of Drivers and Barriers on Urban Adaptation and Mitigation Plans—An Empirical Analysis of European Cities," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    3. Louafi Bouzouina & Bernard Quetelard & Florence Toilier, 2013. "Émissions de CO2 liées à la mobilité domicile-travail : une double lecture par le lieu de résidence et le lieu de travail des actifs à Lyon et à Lille," Post-Print halshs-01086008, HAL.
    4. Rebeca Fontanilla Andong & Edsel Sajor, 2017. "Urban sprawl, public transport, and increasing CO2 emissions: the case of Metro Manila, Philippines," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(1), pages 99-123, February.
    5. Gudipudi, Ramana & Fluschnik, Till & Ros, Anselmo García Cantú & Walther, Carsten & Kropp, Jürgen P., 2016. "City density and CO2 efficiency," Energy Policy, Elsevier, vol. 91(C), pages 352-361.
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    9. Gordon Waitt & Theresa Harada, 2012. "Driving, Cities and Changing Climates," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3307-3325, November.
    10. Huali Sun & Mengzhen Li & Yaofeng Xue, 2019. "Examining the Factors Influencing Transport Sector CO 2 Emissions and Their Efficiency in Central China," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    11. Shreyas Pradhan & Takehito Ujihara & Seiji Hashimoto, 2023. "The Relationship between the Evaluation of Public Transport Services and Travel-Based CO 2 Emissions from Private Transport Modes in Regional and Metropolitan Areas in Japan," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    12. Yi Chen & Yinrong Chen & Kun Chen & Min Liu, 2023. "Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

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