Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China
Abstract
:1. Introduction
2. Study Area and Dataset
3. Methodology
3.1. Extracting the Home and Work Location
3.2. Detecting the Commuting Communities
3.3. Identifying Commuting Convergence and Divergence Areas for Each Community
4. Results and Discussion
4.1. Extraction of Home and Work Locations
4.2. The Communities Detected Based on Commuting Flows
4.3. The Commuting Convergent and Divergent Areas for Each Community
5. Conclusions
Author Contributions
Acknowledgments
Conflicts of Interest
References
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User ID | Record Time | Time Window | Longitude | Latitude |
---|---|---|---|---|
3c5d2b7 ****** | 00:25:36 | 00:00–01:00 | 113 *** | 22 *** |
3c5d2b7 ****** | 01:26:40 | 01:00–02:00 | 113 *** | 22 *** |
3c5d2b7 ****** | 02:20:53 | 02:00–03:00 | 113 *** | 22 *** |
3c5d2b7 ****** | … | … | … | |
3c5d2b7 ****** | 23:33:50 | 23:00–24:00 | 113 *** | 22 *** |
ID | (%) | (%) | ID | (%) | (%) | ||
---|---|---|---|---|---|---|---|
1 | 221,636 | 98.6 | 1.4 | 8 | 80,468 | 97.4 | 2.6 |
2 | 119,527 | 98.6 | 1.4 | 9 | 242,961 | 98.9 | 1.1 |
3 | 100,415 | 98.6 | 1.4 | 10 | 221,898 | 91.1 | 8.9 |
4 | 239,809 | 92.2 | 7.8 | 11 | 402,198 | 94.8 | 5.2 |
5 | 87,966 | 95.1 | 4.9 | 12 | 47,030 | 93.3 | 6.7 |
6 | 213,470 | 94.9 | 5.1 | 13 | 25,335 | 98.9 | 1.1 |
7 | 106,746 | 89.7 | 10.3 |
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Yang, X.; Fang, Z.; Yin, L.; Li, J.; Zhou, Y.; Lu, S. Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China. Sustainability 2018, 10, 1435. https://doi.org/10.3390/su10051435
Yang X, Fang Z, Yin L, Li J, Zhou Y, Lu S. Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China. Sustainability. 2018; 10(5):1435. https://doi.org/10.3390/su10051435
Chicago/Turabian StyleYang, Xiping, Zhixiang Fang, Ling Yin, Junyi Li, Yang Zhou, and Shiwei Lu. 2018. "Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China" Sustainability 10, no. 5: 1435. https://doi.org/10.3390/su10051435