Discovering Intra-Urban Population Movement Pattern Using Taxis’ Origin and Destination Data and Modeling the Parameters Affecting Population Distribution
نویسندگان
چکیده
GPS-equipped vehicles are an effective approach for acquiring urban population movement patterns. Attempts have been made in the present study order to identify displacement pattern of region using taxis’ origin and destination data, then model parameters affecting provide ultimate predict pick-up drop-off locations. In this way, passenger locations identified obtain pattern. study, Moran’s I index was used measure spatial autocorrelation, hot spot analysis analyze patterns Effective modeling performed Poisson regression. The results spatiotemporal distribution map indicated a similarity equal some Results also different features during hours day. Spatial autocorrelation low probability randomness general result shows positive effect on movement, according p-value 0.000, regression is significant highlighted importance recognizing spots, which valuable policymakers planners.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11135987