.png){kind=icon}
Return
Mobility difference index: a quantitative method for detecting human mobility difference
.png){kind=icon}
OA
AI
DOI：10.1080/15481603.2023.2301274.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Differences in human mobility reflect temporal variations and spatial differences in urban spaces, including regional functions, physical environments, and geographical sentiments. Accurately quantifying these differences is critical for understanding and managing cities. However, existing measurement methods overlook the spatial distribution of population movement, which limits the ability to compare spatial differences in human mobility. Separate treatment of the spatial distribution, flux, and distance of human movement increases the complexity and uncertainty of understanding geographic phenomena. Therefore, we propose a flow-based location measure, termed the mobility difference index (MDI), that fuses multidimensional movement characteristics to quantify temporal variations and spatial differences in human mobility. The method quantifies the differences in human mobility by calculating the minimum transformation cost between two sets of origin-destination flows based on optimal transport theory. Simulation experiments confirmed the advantage of the MDI in perceiving the multidimensional characteristics of human movement, particularly regarding spatial distribution. We examined mobile signaling and positioning data from Wuhan and found that the proposed MDI could effectively identify the spatial and temporal dependencies of variations in human mobility and heterogeneous effects of spatial semantics and distance on spatial differences in human mobility.
Keywords:
Population movement
temporal variation
spatial difference
quantitative method
Journal
IF:
6.9
Papers:
1.1K
Citations:
4.5K
Organization
Cited Papers
Changing travel patterns in China during the early stages of the COVID-19 pandemic.png)
NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSavePolypropylene–polyethylene blend morphology controlled by time–temperature–miscibilityPolymer
PolymerIF0
PREAI
ShareSaveShareSaveShareSaveThe impact of social segregation on human mobility in developing and industrialized regionsEPJ DATA SCIENCEOAAI
EPJ DATA SCIENCEIF2.5
OAAIShareSave
View more