Estimating the Efficiency of Transportation Energy Consumption based on Railway Infrastructure and Travel behavior Characteristics

• Choi, Hyunsu (Department of Rail research, The Korea Transport Institute) ;
• Nakagawa, Dai (Department of Urban Management, Kyoto University) ;
• Matsunaka, Ryoji (Department of Urban Management, Kyoto University) ;
• Oba, Tetsuharu (Department of Urban Management, Kyoto University) ;
• Yoon, Jongjin (Department of Urban Management, Kyoto University)
• Published : 2013.06.30

Abstract

In recent years, energy consumption in the transportation sector by expanding motorization continues to increase in almost every country in the world. Moreover, the growth rate of the transportation energy consumption is significantly higher than those of the civilian and industrial sectors. Therefore, every country strives to reduce its dependence on private transport, which is the main contributor to the transportation energy consumption. In many countries, concepts such as Transit Oriented Development (TOD) or New Urbanism, which controls road traffic by increasing the proportion of the public transportation significantly, have been implemented to encourage a modal shift to public transport. However, the level of change required for eliminating environmental problems is a challenging task. Minimizing transportation energy consumption by controlling the increase of the traffic demand and maintaining the level of urban mobility simultaneously is a pressing dilemma for each city. Grasping the impact of the diversity of the urban transport and infrastructure is very important to improve transportation energy efficiency. However, the potential for reducing urban transportation energy consumption has often been ineffectively demonstrated by the diversity of cities. Therefore, the accuracy of evaluating the current efficiency rate of the urban energy consumption is necessary. Nevertheless, quantitative analyses related to the efficiency of transportation energy consumption are scarce, and the research on the current condition of consumption efficiency based on international quantitative analysis is almost nonexistent. On the basis of this background problem definitions, this research first built a database of the transportation energy consumption of private modes in 119 cities, with an attempt to reflect individual travel behaviors calculated by Person Trip data. Subsequently, Data Envelopment Analysis (DEA) was used as an assessment method to evaluate the efficiency of transportation energy consumption by considering the diversity of the urban traffic features in the world cities. Finally, we clarified the current condition of consumption efficiency by attempting to propose a target values for improving transportation energy consumption.

References

1. Ahmad, A., Fujiwara A. and Zhang, J., (2009). "A DEA analysis of energy consumption in transport sector and carbon dioxide emissions in selected 85 countries of the world", CD-ROM, Proceeding of Infrastructure Planning, Vol. 39.
2. Aratani, T. and Todoroki, T., (2009). "An analysis on intercity mobility by public transportation service using data environment analysis", Committee of Infrastructure Planning and Management, No. 39 in Japanese.
3. Choi, H., Nakagawa, D., Matsunaka, R. and Oba, T., (2011). "Building a database of transportation energy consumption in cities of the world with information related to travel behavior", Journal of International City Planning 2011, pp. 263-272.
4. Choi, H., Nakagawa, D., Matsunaka, R. and Oba, T., (2012). "International research on the relationship between urban structure and transportation energy consumption according to economic level", The Australian Journal of Regional Science, Vol. 18, No. 1, pp. 128-149.
5. Feng, T., Zhang, J. and Fujiwara, A., (2007). Environmental Efficiency Analysis of Transportation System: A Stochastic Frontier Approach with Flexible Cause-Effect Structure, Journal of the EASTS, Vol. 7, pp. 1475-1489.
6. Giuliano, G. and Dhiraj, N., (2003). "Another look at travel patterns and urban form: The US and great britain", Urban Studies, Vol. 40, No. 11, pp. 2295-2312. https://doi.org/10.1080/0042098032000123303
7. Kenworthy, J.R., Laube, F.B., Newman, P.W.G., Bater, P.A., Raad, T., Poboon, C. and Guia, B., (1999). "An international sourcebook of automobile dependence in cities 1960-1990", University Press of Colorado, Boulder, Co.
8. Matsuhashi, K., Kudoh, Y., Kamioka, N. and Moriguchi, Y., (2004). "A study on estimation method for transport $CO_2$ emissions by municipalities", Environmental System Analysis and Research, Vol. 32, pp. 235-242 in Japanese. https://doi.org/10.2208/proer.32.235
9. Morimoto, A., (2002). "A research review on compact city in terms of transportation environmental load", CD-ROM, Proceeding of Infrastructure Planning, Vol. 25 in Japanese.
10. Morimoto, A. and Koike, H., (1995). "A comparison of the urban structure impact upon transportation energy", Journal of the City Planning Institute of Japan, No. 30, pp. 685-690 in Japanese.
11. Oshiro, Y., Matsushita, M., Namikawa, R. and Onish, H. (2001). "Fuel consumption rate and a carbon dioxide discharge coefficient in a vehicle travel", Civil Engineering Journal, Vol. 43 No. 11, pp. 50-55 in Japanese.
12. Taniguchi, M., Matsunaka, R. and Hirano, M. (2008). "Time-Series Analysis of the Relationship between Urban Layout and CO_2 Emission by Automobile", Journal of the City Planning Institute of Japan Vol. 43, No. 3, pp. 121-126 in Japanese.
13. Yoshino D., Fujiwara, A. and Zhang J. (2010). "Environmental efficiency model based on data envelopment analysis and its application to environmentally sustainable transport policies", Journal of the Transportation Research Board, Vol. 2163, pp. 112-123. https://doi.org/10.3141/2163-13
14. Nakamura, H., Giuliano, G., Sperling, D., May, A., D, Miyamoto, K., Rithengatter, W. (Eds.). (2004). "Urban Transport and the Environment-An International Perspective", World Conference on Transport Research Society and Institute for Transport Policy Studies. Amsterdam: Elsevier.

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