Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …

The centrality of a place reflects its relative importance in serving other places, and
quantifying centrality is a prerequisite for assessing the urban spatial structure and facilitates …

Delineating travel patterns and city structure has long been a core research topic in transport
geography. Different from the physical structure, the city structure beneath the complex travel …

Global positioning system-enabled vehicles provide an efficient way to obtain large
quantities of movement data for individuals. However, the raw data usually lack activity …

The rapid growth of internet based ride-sharing brings great changes to residents' travel and
city traffic. However, few studies had employed empirical data to examine the unique travel …

Due to the limitation of data collection techniques and privacy issues, the problem of missing
spatial origin-destination flows frequently occurs. Data imputation provides great support for …

Origin-destination (OD) movement data describe moves or trips between spatial locations by
specifying the origins, destinations, start, and end times, but not the routes travelled. For …

This paper presents a new approach to flow mapping that extracts inherent patterns from
massive geographic mobility data and constructs effective visual representations of the data …

It is challenging to map large spatial flow data due to the problem of occlusion and cluttered
display, where hundreds of thousands of flows overlap and intersect each other. Existing …

In this paper, we present a data-driven framework to support exploratory spatial, temporal,
and statistical analysis of intra-urban human mobility. We leveraged a new mobility data …