Evolution of a synthetic population and its daily mobility patterns under spatial strategies for urban growth

Authors

Simone Leao, University of New South Wales
Nam N. Huynh, University of WollongongFollow
Alison Taylor, University of New South Wales
Christopher Pettit, University of New South WalesFollow
Pascal Perez, University of WollongongFollow

RIS ID

116310

Publication Details

Leao, S. Z., Huynh, N., Taylor, A., Pettit, C. & Perez, P. (2017). Evolution of a synthetic population and its daily mobility patterns under spatial strategies for urban growth. Lecture Notes in Geoinformation and Cartography, 399-417.

Abstract

This chapter proposes and tests an innovative method to integrate a spatial scenario-based approach with a synthetic population evolution model and a mobility assignment model. Results are applied to assess future housing demand by dwelling type, and to identify future hubs for daily trips associated to an urban growth scenario in a case study. Main contributions of this research include the generation of urban population data at fine spatial and temporal scales and the inclusion of spatial planning into a synthetic population evolution model. Although current limitations associated to model assumptions and data availability are identified, the model is built in a platform flexible to adapt to new parameters and datasets. Big data is envisioned as a potential source of future improvements, through better and more frequent characterisation of population behaviour and interdependencies between demographics, land use and transportation.