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The Estimation of Transportation Energy Consumption Considering Gas Station Choice Probability and the Differential Effects of Urban Spatial Structure

김승남 1 Kun-Hyuck Ahn 1

1서울대학교

Accredited

ABSTRACT

The purpose of this study is to examine the effects of urban spatial structure on transportation energy consumption. For this, gasoline consumption in each area was estimated by using Gas Station Choice Probability Function and Vehicle Km Traveled(VKT). And these data analyzed through spatial regression. The main results of this study are as follow. First, oil consumption probability is 80% in departure area, if the oil price is same between departure and destination area. Second, compactness policy is effective only on inner travel reduction. Third, higher density and higher job accessibility can reduce not only outflow consumption but also inflow consumption, so that can create synergy effects in surrounding areas. These results lead us to the conclusion that effects of urban spatial structure are different in spatially different area. Therefore, we need to change of existing urban spatial policy based on these results.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.