Why do people move? Enhancing human mobility prediction using local functions based on public records and SNS data.

ABSTRACT: The quality of life for people in urban regions can be improved by predicting urban human mobility and adjusting urban planning accordingly. In this study, we compared several possible variables to verify whether a gravity model (a human mobility prediction model borrowed from Newtonian mechanics) worked as well in inner-city regions as it did in intra-city regions. We reviewed the resident population, the number of employees, and the number of SNS posts as variables for generating mass values for an urban traffic gravity model. We also compared the straight-line distance, travel distance, and the impact of time as possible distance values. We defined the functions of urban regions on the basis of public records and SNS data to reflect the diverse social factors in urban regions. In this p

SUBMITTER: Kim J 

PROVIDER: S-EPMC5809051 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature