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박동욱,Dai Nakagawa,Ryoji Matsunaka,Tetsuharu Oba 서울시립대학교 도시과학연구원 2012 도시과학국제저널 Vol.16 No.2
In several city centers around the world, there has been a trend to restrain the entry of automobiles and to improve pedestrian movement. It is to create the central areas vibrant with people. However,it is not clear which factors affect vibrancy and how they are related in the city center. We surveyed pedestrians as well as relevant factors on each street in central areas of Kyoto, Seoul,Beijing, and Florence to elucidate the relationship between vibrancy and street environment. Then,structural equation modeling was performed with the survey data to determine the structural relationship between pedestrian vibrancy and street environment. In central areas of these four cities, it is clear that pedestrian comfort has a direct and indirect positive effect on vibrancy although the existence of parking areas has a negative effect on vibrancy.
최현수,Dai Nakagawa,Ryoji Matsunaka,Tetsuharu Oba,윤종진 서울시립대학교 도시과학연구원 2013 도시과학국제저널 Vol.17 No.3
As motorization has progressed around the world, the scope of personal activity is widening due to private-motorized modes (PMM). And due to the increase in PMM, the degree of suburbanization has also increased, resulting in higher energy consumption for transportation as well as global warming. Many studies including that of Newman and Kenworthy have focused on the relationship between urban density and transportation energy consumption. However, the studies were in general focused on a pool of transportation data limited to one country or continent. This geological limitation restrains researchers from gaining insight into different transportation characters as well as a city’s economic development status. Therefore, this research was conducted to generate a database of transportation energy consumption byPMMbased on person trip data from 119 metropolitan areas in 39 countries. Considering the difference in economic levels of cities around the world, a discriminant analysis was conducted to evaluate the relationship between urban density and transportation characteristics. Based on the results of the analysis, we examined the correlation between urban density and transportation energy consumption by economic level. The analysis showed that the correlation between urban density and transportation energy consumption differs by the city’s economic level.Additionally,the more the economic development, the clearer the correlation between urban density and travel behaviours becomes.
Shimazaki, Dai,Nakagawa, Kentaro Council on Tall Building and Urban Habitat Korea 2015 International journal of high-rise buildings Vol.4 No.3
Shimizu Corporation Tokyo Headquarters, one of the city's leading office buildings, features many pioneering technologies that contribute to a sustainable society through environmental stewardship and a sophisticated disaster management facility. In terms of structural engineering, a seismic isolation system incorporating reinforced concrete core walls and precast concrete perimeter frames create a robust structure in the event of a large earthquake. In addition to the seismic resistance of the structure, several pioneering construction methods and materials are adopted. This office building can serve as a basis for new design and construction approaches and methodologies to ensure safe and economical structures.
Choi, Hyunsu,Nakagawa, Dai,Matsunaka, Ryoji,Oba, Tetsuharu,Yoon, Jongjin The Korean Society for Railway 2013 International Journal of Railway Vol.6 No.2
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.
Hyunsu Choi,Dai Nakagawa,Ryoji Matsunaka,Tetsuharu Oba,Jongjin Yoon 한국철도학회 2013 International Journal of Railway Vol.6 No.2
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.