Mountain inhabitants’ perspectives on climate change, and its impacts and adaptation based on temporal and spatial characteristics analysis: a case study of Mt. Yulong Snow, Southeastern Tibetan Plateau

2015 ◽  
Vol 14 (2) ◽  
pp. 122-136 ◽  
Author(s):  
Wang Shijin ◽  
Qin Dahe
Keyword(s):  
Climate Change ◽  
Tibetan Plateau ◽  
Spatial Characteristics ◽  
Southeastern Tibetan Plateau ◽  
Characteristics Analysis ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics

Identifying Temporal and Spatial Characteristics of Residents’ Trips from Cellular Signaling Data: Case Study of Beijing

2018 ◽  
Vol 2672 (42) ◽  
pp. 81-90 ◽  
Author(s):  
Zufen Li ◽  
Lei Yu ◽  
Yong Gao ◽  
Yizheng Wu ◽  
Guohua Song ◽  
...  
Keyword(s):  
Cellular Signaling ◽  
Correlation Coefficients ◽  
Real Data ◽  
Passive Mode ◽  
Spatial Characteristics ◽  
Redundant Data ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Beijing China

This study developed a method to extract valid temporal and spatial characteristics of residents’ trips based on cellular signaling data to support urban transportation planning activity. The study first identified data triggered by active modes as redundant data by analyzing the characteristics of the trigger modes of cellular signaling data, which were then labeled and excluded from further analysis. Thus, only the data triggered by the passive mode were used in the study. Then, the temporal and spatial characteristics of residents’ trips were extracted by mapping the cellular signaling data onto study regions, dividing them into traffic analysis zones (TAZs), and extracting the origin–destination (OD) matrix. Finally, real data from Beijing, China were used in a case study to verify the feasibility of the proposed method. The extracted temporal and spatial characteristics of residents’ trips were compared with those from the 4th Comprehensive Transport Survey. It was observed that the results from the two data sources had a high correlation with correlation coefficients higher than 0.9.

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