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An Evaluation of Measures for the Reduction of Carbon Dioxide Emissions from Automobile Traffic in Central Tokyo

Kayoko Yamamoto () and Kuangtiao Shen ()
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Kayoko Yamamoto: University of Electro-Communications, Tokyo
Kuangtiao Shen: University of Electro-Communications, Tokyo

Chapter Chapter 4 in City Networks, 2017, pp 55-77 from Springer

Abstract: Abstract This study aims to evaluate measures for the reduction of carbon dioxide (CO2) emissions from automobile traffic in the 23-ward district of Tokyo (central Tokyo), Japan, using the methods of spatial analysis by Geographic Information Systems (GIS) and statistical analysis. All of the measures to prevent global warming in Japan were first investigated to extract nine measures to reduce CO2 emissions and then classified into the three groups. Secondly, using the GIS functions for database creation and information analysis, a digital map databases reflecting the real situation of automobile traffic in the study area was created. Using this database, the reduction of CO2 emissions was calculated before and after the implementation of the above nine measures (2005 and 2011) in each road unit. Furthermore, in order to evaluate these measures, the situation of the reduction of CO2 emissions was visualized in each road unit on the digital maps using GIS, and the CO2 emissions before and after the implementation effects of the above nine measures were grasped by t-tests using R language. Based on the evaluation results, it was clear that CO2 emissions are the highest on the main roads in the city center, while the roads with a high reduction of CO2 emissions differed according to each measure. It was also found that all the above nine measures were effective, except for the promotion of eco-drive for small-size automobile. This is because, in the case of small-size automobiles, the diffusion rate of eco-drive did not increase greatly, the reduction effect of CO2 emission was small, and the reduction of CO2 emissions by fuel consumption was low.

Keywords: Carbon dioxide reduction; Automobile traffic; Spatial analysis; Statistical analysis; Japan (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-65338-9_4

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DOI: 10.1007/978-3-319-65338-9_4

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