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Article

Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China

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School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
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School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
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Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
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School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
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Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(4), 268; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040268
Received: 27 February 2021 / Revised: 31 March 2021 / Accepted: 14 April 2021 / Published: 17 April 2021
Modeling the distribution of daily and hourly human mobility metrics is beneficial for studying underlying human travel patterns. In previous studies, some probability distribution functions were employed in order to establish a base for human mobility research. However, the selection of the most suitable distribution is still a challenging task. In this paper, we focus on modeling the distributions of travel distance, travel time, and travel speed. The daily and hourly trip data are fitted with several candidate distributions, and the best one is selected based on the Bayesian information criterion. A case study with online car-hailing data in Xi’an, China, is presented to demonstrate and evaluate the model fit. The results indicate that travel distance and travel time of daily and hourly human mobility tend to follow Gamma distribution, and travel speed can be approximated by Burr distribution. These results can contribute to a better understanding of online car-hailing travel patterns and establish a base for human mobility research. View Full-Text
Keywords: mobility metrics; distribution fitting; Gamma distribution; Burr distribution; online car-hailing mobility metrics; distribution fitting; Gamma distribution; Burr distribution; online car-hailing
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MDPI and ACS Style

Shi, C.; Li, Q.; Lu, S.; Yang, X. Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China. ISPRS Int. J. Geo-Inf. 2021, 10, 268. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040268

AMA Style

Shi C, Li Q, Lu S, Yang X. Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China. ISPRS International Journal of Geo-Information. 2021; 10(4):268. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040268

Chicago/Turabian Style

Shi, Chaoyang; Li, Qingquan; Lu, Shiwei; Yang, Xiping. 2021. "Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China" ISPRS Int. J. Geo-Inf. 10, no. 4: 268. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040268

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