117 shared publications
Department of Emergency Management, Arkansas Tech University, Russellville, AR 72801, USA
72 shared publications
Graduate School of Environmental Study, Nagoya University, Nagoya, Japan
6 shared publications
Graduate School of Environmental Studies , Nagoya University , Japan
3 shared publications
College of Resource Science and Technology, Beijing Normal University
1 shared publications
College of Resources Sciences & Technology, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China
(2013 - 2018)
The resource-based city shows a gradually decline behind the external prosperity in China. It has been identified that there were 262 resource-based cities in China . According to the different stages of developmentthe, the resource-based cities were divided into four types: growing, maturing, exhausting and renewing. Currently, 23 of them which have entered the exhausted post-transition phase of resource were called renewing cities. Thus, the focus of this paper is on the smart growth of renewing cities, whose core elements can be extracted from the essential characteristics showed in the process. Based on the thought of “smart growth” and aspects of “moderate exploitation”, “green ecology” and “social comfort”, the analytic framework of "smart growth", with 9 goals and 40 sets of variables relationships established, is formed. According to the statistical description and analysis of the existing data, in 40 sets of variables, there are 22 sets in line with the "smart growth" requirements; while 15 sets not ; and another 3 sets can not be judged. Finally, based on the results of the analysis, the path of “smart growth” for renewing city can be explained from aspects of city infrastructure supply, land development and utilization, energy saving and emission reduction, environmental protection and city agglomeration promotion, which are the key ares that government should focus on as well.
The growth and diversification of transport demand accompanied with social and economic development led to increasing energy consumption in transport sector. In order to find a way that can not only contribute to reducing transportation energy consumption but also fully meet the transport demand, the research firstly formulated three indicators. Urban density implies population size and intensity of social and economic activities that is related to transport demand. Accessibility is defined by per capita road area and average bus numbers of ten thousand people and reflects transport conditions of private and public traffic. Per capita energy consumption in transport sector was used to characterize environmental effects. The data of urban density and accessibility was collected from the National Statistical Yearbook, while the data of transport energy consumption was obtained by conversion of DMSP/OLS (Defense Meteorological Satellite Program/Operational Lines-can System) night lighting data which is a sign of human activity. Secondly, considering the different levels of transport infrastructure and economic development in different regions of China, only 30 provincial capital cities were selected to analyze the relationships of the three indicators mentioned above. Based on relationship analysis, 30 cities were divided into three patterns. It was founded that the first pattern would be optimal because of a good match of transport demand and supply coupled with low energy consumption. The second pattern is non-ideal, since it is at high level of energy consumption and less balanced between transport demand and supply. The third pattern should improve accessibility and reduce energy consumption. Finally, some suggestions about urban transport development that are suitable to local conditions were proposed for different urban patterns.