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luci2 Urban Simulation Model

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Forecasts employment change by ZIP code for major industry groups ... on certain lands, utility expansion, densities, urban growth boundaries ... – PowerPoint PPT presentation

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Title: luci2 Urban Simulation Model


1
luci2 Urban Simulation Model
  • V264 Class 19
  • October 29, 2009

2
Overview
  • What the model does
  • How the model simulates urban development
  • Applications and future development

3
What the model does
  • Simulates urban growth for Central Indiana
  • Forecasts employment change by ZIP code for major
    industry groups
  • Separately simulates residential and
    employment-related development for mile-square
    grid cells
  • Allows users to create and compare scenarios
    reflecting policy choices and assumptions about
    future development

4
Central Indiana 2000 percent urban
5
Primary Central Indiana data sources
  • LandSAT satellite images for 1985, 1993, and 2000
  • Land cover classification by Jeff Wilson,
    Geography
  • Employment by ZIP code for 1995, 2000
  • Indiana Department of Workforce Development
    (ES-202) data from IBRC

6
Estimation of land use
  • Reclassification of classified land cover data
  • Developed set of classifiers based on
  • Land cover in vicinity of each pixel
  • Population and housing units from census
  • Road network
  • Estimated logit models to reclassify use by using
    Marion County land use data

7
Model predictions
  • Employment change for four industry groups by ZIP
    code
  • Probabilities of residential and
    employment-related development by grid cell
  • Densities of residential and employment-related
    development
  • Journey to work

8
Prediction of development
  • Prediction of probability of conversion of land
    to residential and employment-related uses
  • Based on random utility theory
  • Estimated aggregated logit models
  • Dependent variables logits of proportions of land
    converted 1993-2000
  • Prediction of densities of development
  • Estimated using 2000 data

9
Predictors of probability of residential
development
  • Accessibility to employment and employment change
  • Availability of water and sewer
  • Distances to interstate interchanges and other
    four-lane highways
  • Proportion residential in 3x3 neighborhood and it
    square (logistic growth trend)
  • Logit proportion converted to residential in
    preceding period (persistence)
  • ISTEP scores for school districts

10
Accessibility to employment
11
How luci2 simulates urban development
  • Works in 5-year simulation periods
  • Simulation driven by exogenous, user-specified
    population growth for entire region
  • Predicts employment change by industry group for
    ZIP codes
  • Predicts employment-related and residential
    development

12
Prediction of employment-related development
  • Predicts employment-related land use per employee
    by ZIP code
  • Predicts probability of conversion of land to
    employment-related uses by grid cell
  • Allocates employment-related development within
    each ZIP code to grid cells with highest
    probabilities

13
Prediction of residential development
  • Predicts probability of conversion of land to
    residential use
  • Predicts population density
  • Adjusts probabilities to accommodate specified
    population growth

14
Use of scenarios in luci2
  • Purpose not to produce best forecast but
    alternative scenarios
  • Scenarios can reflect policy choices, including
    restrictions on development on certain lands,
    utility expansion, densities, urban growth
    boundaries
  • Scenarios can reflect alternative assumptions
    about factors influencing development, including
    population growth and importance of accessibility
    to employment

15
The Current trends scenario
  • luci2 starts with the Current trends scenario
  • Assumes population growth at the rate from
    1990-2000
  • Uses all model parameters as estimated for the
    period prior to 2000
  • Assumes no changes to policies from recent period

16
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17
luci2 simulation results
  • Results provided for active and comparison
    scenarios
  • Maps show land urban and change and generalized
    land uses
  • Tables provide summary results for region for
    land use and population
  • Tables provide urban land and employment and
    their change by county

18
luci2 enhanced user capabilities
  • Automatic output of more detailed simulation
    results for start, end, and for each simulation
    round if desired
  • Capability to add user scenarios

19
luci2 user scenarios
  • Restrictions on development in specified areas
  • Minimum or maximum densities of development in
    specified areas
  • Specification of areas to be provided with
    utility service
  • New transportation alternatives

20
luci2 as a general-purpose urban simulation model
  • Models can be implemented for different areas
  • With different datasets
  • Using regular or irregular simulation zones
    (including TAZs)
  • Using distances or travel times
  • For models of varying complexity
  • Could implement LUCI and LUCI/T in luci2

21
LUCI applications
  • Indianapolis Metropolitan Planning Organization
    planning area delineation
  • Land use change in Indianapolis Water Company
    watersheds, project with Center for Earth and
    Environmental Science
  • Tippecanoe County stormwater management district
    development

22
LUCI/T Model
  • Central Indiana Suburban Transportation
    Mobility Study (INDOT)
  • Analysis of transportation alternatives for
    9-county region around Indianapolis
  • Custom version of model to predict land use
    impacts of outer belt

23
luci2 Hendricks County comprehensive plan
scenarios
  • Custom user scenarios reflecting restriction of
    new development to growth areas, alternative
    densities of new development
  • Used in development of new Hendricks County
    comprehensive plan

24
luci2 Indiana Statewide Model
  • Developed for INDOT
  • Simulates development for 4,579 TAZs in INDOT
    travel demand model
  • Uses travel times from travel demand model
  • Will be integrated with travel demand model to
    capture interaction between land use and
    transportation

25
More Information
  • LUCI Websitewww.luci.urbancenter.iupui.edu
  • John Ottensmannjottensm_at_iupui.edu
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