Models of Trip Distribution

Models of Trip Distribution

We develop methods to estimate trip distributions based on distribution of populations and facilities only. This has impact in models of epidemic spreading and benefit regions that lack of census information to callibrate distribution of trips.

FlowsPaper

Figure: The right section of the figure shows one sample OD pair in each region with similar mi, ni, nj and sij values. But the distance between Los Angeles and Lake Havasu City is much longer than the distance between Seattle and Wenetchee, which makes its commuting flow volume much smaller. This e ffect of distance is taken into consideration by the diff erence in the alpha value. For the southern region alpha= 5 while for the northern one alpha= 1.6. The grey regions are combined statistical areas which usually include one or more populated metropolitan areas.

Source: Limits of Predictability in Commuting Flows in the Absence of Data for Calibration (Yingxiang Yang, C. Herrera-Yagüe, N. Eagle, Marta C González), Submitted to Scientific Reports, 2014. [pdf]

A universal model for mobility and migration patterns (F. Simini, M.C. González, Maritan A., A.-L. Barabási), In Nature, volume 484, 2012. [bibtex][pdf]

Predicting commuter flows in spatial networks using a radiation model based on temporal ranges (Yihui Ren, Maria Ercsey-Ravasz, Pu Wang, Marta C. Gonzalez & Zoltan Toroczkai), Nature Communications, in press, 2014.

Group Members: All