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Residence-Workplace Spatial Distribution Characteristics Analysis Based on Mobile Phone Data
The spatial distribution relationship between residence and workplace is essential to urban transportation planning. This paper analyzes residence-workplace spatial distribution in Nanjing by using mobile data. First, the raw data was grouped, positioned, and smoothed. Then, this paper identified residence and workplace locations by selecting possible stations, and calculating cumulative duration. Finally, the indexes including commute indicators, commute space distribution, and commute distance applied to analyze the commute features of three different districts: Xinjiekou, Daishan, and Ruanjiandadao. The results show 87.16% of residents work inside the district and that the commute distance of Xinjiekou residents is only 2.32 km. Up to 41.66% of residents work in the other districts and for Daishan residents the commute distance is 6.49 km. In Ruanjiandaao, 37.14% of workers come from the other districts and the commute distance of workers is 8.36 km.
Residence-Workplace Spatial Distribution Characteristics Analysis Based on Mobile Phone Data
The spatial distribution relationship between residence and workplace is essential to urban transportation planning. This paper analyzes residence-workplace spatial distribution in Nanjing by using mobile data. First, the raw data was grouped, positioned, and smoothed. Then, this paper identified residence and workplace locations by selecting possible stations, and calculating cumulative duration. Finally, the indexes including commute indicators, commute space distribution, and commute distance applied to analyze the commute features of three different districts: Xinjiekou, Daishan, and Ruanjiandadao. The results show 87.16% of residents work inside the district and that the commute distance of Xinjiekou residents is only 2.32 km. Up to 41.66% of residents work in the other districts and for Daishan residents the commute distance is 6.49 km. In Ruanjiandaao, 37.14% of workers come from the other districts and the commute distance of workers is 8.36 km.
Residence-Workplace Spatial Distribution Characteristics Analysis Based on Mobile Phone Data
Du, Shu-ying (author) / Ran, Bin (author) / Zhang, Jian (author) / Shi, Xiao-kai (author) / Zhang, Xiao-li (author) / Wang, Qing (author)
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 378-390
2018-07-02
Conference paper
Electronic Resource
English
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