Understanding human mobility patterns-how people move in their everyday lives-is an interdisciplinary research field. It is a question with roots back to the 19 th century that has been dramatically revitalized with the recent increase in data availability. Models of human mobility often take the population distribution as a starting point. Another, sometimes more accurate, data source is land-use maps. In this paper, we discuss how the intra-city movement patterns, and consequently population distribution, can be predicted from such data sources. As a link between land use and mobility, we show that the purposes of people's trips are strongly correlated with the land use of the trip's origin and destination. We calibrate, validate and discuss our model using survey data. Fig 4. Comparison of population density distribution of empirical data and our model. Panel (A) shows the Chicago land-use map. (B) displays the effective population density distribution from the Chicago OD survey data. Panels (C) and (D ) shows the effective population density from our simulations with distance exponents σ = 1.5 and 2.5 respectively (the optimal value is in between-σ = 1.90±0.04). The resolution of the map (i.e. the dimensions of a grid cell) is 700m × 700m.
A recent study investigated the relationship between land use and mobility REF .
Relating Land Use and Human Intra-City Mobility
PLoS ONE
PLoS ONE
Physics Biology Medicine