Origin-destination(OD) flows reflect both human activity and urban dynamic in a city. However, our understanding about their patterns remains limited. In this paper, we study the GPS traces of taxis in a city with several millions people, China and find that there are significant patterns under the OD flows constructed from taxis ' random motion. Our spatiotemporal analysis shows that those patterns have close relationship with the semantics of OD flows, hence we can mine the semantics of OD flows from raw GPS trace data. The approach we proposed offers a novel way to explore the human mobility and location characteristic
Human mobility is important for understanding the evolution of size and structure of urban areas, th...
Taxis play important roles in modern urban transportation systems, especially in mega cities. While ...
Origin-destination (OD) movement data describe moves or trips between spatial locations by specifyin...
Origin-destination(OD) flows reflect both human activity and urban dynamic in a city. However, our u...
Mobility and spatial interaction data have become increasingly available due to the widespread adopt...
Understanding urban population migration patterns is very helpful for urban operation and management...
The transport system is a critical component of the urban environment in terms of its connectivity, ...
© 2016, The Visualization Society of Japan. Abstract: Traffics of different regions in a city have d...
<div><p>We analyze the passengers' traffic pattern for 1.58 million taxi trips of Shanghai, China. B...
We analyze the passengers ’ traffic pattern for 1.58 million taxi trips of Shanghai, China. By emplo...
Massive taxi trajectory data can be easily obtained in the era of big data, which is helpful to reve...
Abstract Intra-urban human mobility is investigated by means of taxi trajectory data that are collec...
Taxi trajectories reflect human mobility over a road network. Pick-up and drop-off locations in diff...
Abstract The development of high-precision location tracking devices and advancements in data collec...
An origin-destination (OD) flow is the movement of objects from an origin to a destination. Determin...
Human mobility is important for understanding the evolution of size and structure of urban areas, th...
Taxis play important roles in modern urban transportation systems, especially in mega cities. While ...
Origin-destination (OD) movement data describe moves or trips between spatial locations by specifyin...
Origin-destination(OD) flows reflect both human activity and urban dynamic in a city. However, our u...
Mobility and spatial interaction data have become increasingly available due to the widespread adopt...
Understanding urban population migration patterns is very helpful for urban operation and management...
The transport system is a critical component of the urban environment in terms of its connectivity, ...
© 2016, The Visualization Society of Japan. Abstract: Traffics of different regions in a city have d...
<div><p>We analyze the passengers' traffic pattern for 1.58 million taxi trips of Shanghai, China. B...
We analyze the passengers ’ traffic pattern for 1.58 million taxi trips of Shanghai, China. By emplo...
Massive taxi trajectory data can be easily obtained in the era of big data, which is helpful to reve...
Abstract Intra-urban human mobility is investigated by means of taxi trajectory data that are collec...
Taxi trajectories reflect human mobility over a road network. Pick-up and drop-off locations in diff...
Abstract The development of high-precision location tracking devices and advancements in data collec...
An origin-destination (OD) flow is the movement of objects from an origin to a destination. Determin...
Human mobility is important for understanding the evolution of size and structure of urban areas, th...
Taxis play important roles in modern urban transportation systems, especially in mega cities. While ...
Origin-destination (OD) movement data describe moves or trips between spatial locations by specifyin...