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Dataset of Travel Resilience Spatial Differentiation Within the Sixth Ring Road of Beijing City of China (2020)

FAN Wenying1WANG Jiaoe*1HUANG Jie1
1 Institute of Geographic Sciences and Natural Resources Research,Beijing 100101,China


Published:Oct. 2023

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Data Downloaded:43.85 MB      Citations:

Key Words:

travel,COVID-19 pandemic,mobile signaling data,resilience,cluster analysis


Travel resilience refers to the process of restoring residents' travel to the original state of balance between supply and demand, or establishing a new equilibrium state after experiencing negative disturbances. It characterizes the interaction between residents' travel, disturbances, urban space, and the transportation system in terms of process, continuity, and dynamics. The key measurement of travel resilience lies in the ability of transportation demand to recover to pre-disturbance levels or achieve a stable state during long-term coupling with the disturbance. Using the K-means clustering method and cell phone signaling data from Beijing between February and September 2020, the authors calculated the spatial differentiation dataset of travel resilience within Beijing's Sixth Ring Road. The dataset includes: (1) cluster factors and result data in points, including the unique identification ID for each 250 m grid (GID), travel recovery speed (25rate) and magnitude (29rate) under the epidemic disturbance, clustering results indicating travel toughness (Kmeans_clu); (2) kernel density values with 250 m resolution. The dataset is archived in .shp and .tif formats, and consists of 47 data files with data size of 5.32 MB (compressed to 1 file with 1.01 MB). The analysis paper based on the dataset was published at Acta Geographica Sinica, Vol. 78, No. 10, 2023.Browse

Foundation Item:

National Natural Science Foundation of China (42225106, 42121001); Youth Innovation Promotion Association of Chinese Academy of Sciences (2021049)

Data Citation:

FAN Wenying, WANG Jiaoe*, HUANG Jie. Dataset of Travel Resilience Spatial Differentiation Within the Sixth Ring Road of Beijing City of China (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023.

FAN Wenying, HUANG Jie, WANG Jiaoe. Development of a 250-m grid dataset for travel resilience spatial differentiation within the Sixth Ring Road of Beijing (2020) [J]. Journal of Global Change Data & Discovery, 2023, 7(4): 391-398.


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Data Product:

ID Data Name Data Size Operation
1 TravelResilienceBeijing2020.rar 1044.17KB