Limits of predictability in commuting flows in the absence of data for calibration.

ABSTRACT: The estimation of commuting flows at different spatial scales is a fundamental problem for different areas of study. Many current methods rely on parameters requiring calibration from empirical trip volumes. Their values are often not generalizable to cases without calibration data. To solve this problem we develop a statistical expression to calculate commuting trips with a quantitative functional form to estimate the model parameter when empirical trip data is not available. We calculate commuting trip volumes at scales from within a city to an entire country, introducing a scaling parameter α to the recently proposed parameter free radiation model. The model requires only widely available population and facility density distributions. The parameter can be interpreted as the influence of

SUBMITTER: Yang Y 

PROVIDER: S-EPMC4092333 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature