Delineating Source and Sink Zones of Trip Journeys in the Road Network Space

Source–sink zones refer to aggregated adjacent origins/destinations with homogeneous trip flow characteristics. Current relevant studies mostly detect source–sink zones based on outflow/inflow volumes without considering trip routes. Nevertheless, trip routes detail individuals’ journeys on road net...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2024-05, Vol.13 (5), p.150
Main Authors: Shi, Yan, Chen, Bingrong, Huang, Jincai, Wang, Da, Liu, Huimin, Deng, Min
Format: Article
Language:English
Subjects:
Agglomeration
Aggregation
Algorithms
Cellular telephones
Cluster analysis
Clustering
Dirichlet problem
Flow characteristics
Global positioning systems
GPS
Human influences
Impact analysis
Inflow
Land use
Methods
Mobility
origin–destination flow
Roads
Semantics
Source-sink relationships
source–sink zone
spatial-constrained SOM network
topic-level aggregation
Traffic analysis
Travel
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Description
Summary:Source–sink zones refer to aggregated adjacent origins/destinations with homogeneous trip flow characteristics. Current relevant studies mostly detect source–sink zones based on outflow/inflow volumes without considering trip routes. Nevertheless, trip routes detail individuals’ journeys on road networks and give rise to relationships among human activities, road network structures, and land-use types. Therefore, this study developed a novel approach to delineate source–sink zones based on trip route aggregation on road networks. We first represented original trajectories using road segment sequences and applied the Latent Dirichlet Allocation (LDA) model to associate trajectories with route semantics. We then ran a hierarchical clustering operation to aggregate trajectories with similar route semantics. Finally, we adopted an adaptive multi-variable agglomeration strategy to associate the trajectory clusters with each traffic analysis zone to delineating source and sink zones, with a trajectory topic entropy defined as an indicator to analyze the dynamic impact between the road network and source–sink zones. We used taxi trajectories in Xiamen, China, to verify the effectiveness of the proposed method.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi13050150