T-PickSeer: Visual Analysis of Taxi Pick-up Point Selection Behavior
Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, and Haipeng Zeng

TL;DR
T-PickSeer is a visual analytics system designed to help taxi companies analyze and understand passenger pick-up point behaviors using GPS data, improving dispatch efficiency and resource management.
Contribution
The paper introduces T-PickSeer, a novel visual analytics system that enables exploration of taxi pick-up behaviors with interpretability and real-world applicability.
Findings
Effective analysis of pick-up point patterns
Identification of potential pick-up locations
Improved understanding of regional differences
Abstract
Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi management and dispatch. Many studies have been devoted to analyzing and recommending hot-spot regions of pick-up points, which can make it easier for drivers to pick up passengers. However, the selection of pick-up points is complex and affected by multiple factors, such as convenience and traffic management. Most existing approaches cannot produce satisfactory results in real-world applications because of the changing travel demands and the lack of interpretability. In this paper, we introduce a visual analytics system, T-PickSeer, for taxi company analysts to better explore…
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Taxonomy
TopicsTransportation and Mobility Innovations · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization
