scholarly journals Statistical Analysis of Traffic Accidents in Shanghai River Crossing Tunnels and Safety Countermeasures

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Linjun Lu ◽  
Jian Lu ◽  
Yingying Xing ◽  
Chen Wang ◽  
Fuquan Pan
Keyword(s):  
Statistical Analysis ◽  
Traffic Accidents ◽  
Temporal And Spatial Distribution ◽  
Urban Road ◽  
Spatial Distribution Characteristics ◽  
Road Tunnels ◽  
Accident Data ◽  
Tunnel Safety ◽  
Temporal And Spatial ◽  
Safety Countermeasures

A large number of traffic tunnel accidents have been reported in China since the 21th century. However, few studies have been reported to analyze traffic accidents that have occurred in urban road tunnels. This study aims to examine the characteristics of the temporal, spatial, and modality distributions of traffic in Shanghai river crossing tunnels using statistical analysis and comparative analysis. Employing these techniques tunnel accident data obtained from Shanghai center 110 was analyzed to determine temporal and spatial distribution characteristics of traffic accidents in river crossing tunnels in Shanghai. The results of this analysis are discussed and summarized in this paper. Identification of the characteristics of tunnel traffic accidents can provide valuable information for development of effective countermeasures to improve tunnel safety in China.

scholarly journals Application of Morishita Spread Index to temporal and spatial distribution characteristics of landslides in Shanxi and Gansu provinces of China

2000 ◽  
Vol 21 ◽  
Author(s):  
Luo Wenqiang ◽  
Zhang Zhuoyuan ◽  
Huang Runqiu
Keyword(s):  
Spatial Distribution ◽  
High Frequency ◽  
Temporal Distribution ◽  
The Other ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Landslide Occurrence ◽  
Cluster Distribution ◽  
Spatial Distribution Characteristics ◽  
Temporal And Spatial

Morshita Spread Index Iδ was applied for the study of temporal and spatial distribution characteristics of landslides in the Shanxi and Gansu provinces of China. For this purpose, the landslides larger than 105 m3 in volume were considered. In the study area, the spatial distribution of Morishita Spread Index Iδ (l) isgreater than 1 and decreases with increasing mesh scale. Such a trend indicates cluster distribution of landslides. On the other hand, the temporal distribution of Morishita Spread Index Iδ (t) for the above landslides showed a maximum and a minimum, corresponding to the years with high frequency of landslide occurrence.

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