作者: Kara M Kockelman , Saurabh Kumar
DOI: 10.15781/T2ST7F288
关键词: Aggregate data 、 Microsimulation 、 Economics 、 Microeconomics 、 Population 、 Futures contract 、 Economy 、 Land use 、 Estimation 、 Quality (business) 、 Land-use planning
摘要: Households and firms are key drivers of urban growth, yet models for forecasting travel demand often ignore their dynamic evolution several decision processes. An understanding household firm behavior over time is critical in anticipating futures addressing transportation, land use other concerns. Birth death, migration location choice defining events a household’s firm’s life cycle, study requires the estimation application each these. Such an exercise hindered primarily by lack quality micro-data. This develops basic framework modeling demographics using microsimulation. Year 2005 zonal population employment point data Austin, Texas region, coupled with various, more aggregate sets, used to simulate space. To ensure jobs-worker balance, model may well merit greater synchronization synthesis models. The simulations also suggest clear shift households towards central zones, part because cross-sectional nature sets calibrate density restrictions or reflections land-availability constraints on new development. Essentially, exhibit strong centralizing tendency, that Austin’s market simply cannot allow, due space building. Explicit expressions such should prove helpful future implementations this work.