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Klaus Spiekermann The GIS based Raster Methodology a window for new, more detailed results Spiekerma

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maintaining the zonal organisation. adding a disaggregate raster-based representation of space. disaggregation of zonal and network attributes to raster space ... – PowerPoint PPT presentation

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Title: Klaus Spiekermann The GIS based Raster Methodology a window for new, more detailed results Spiekerma


1
Klaus SpiekermannThe GIS based Raster
Methodology a window for new, more detailed
results Spiekermann
Wegener Urban and Regional Research
Dortmund, Germany

2
How to Add Environment to Land Use Transport?
No spatial disaggregation
Spatial disaggregation of output
Spatial disaggregation of input
Zonal data
Zonal data
Zonal data
Aggregate land-use transport model
Aggregate land-use transport model
Aggregate land-use transport model
Aggregate land-use transport model
Spatial disaggregation
Zonal environmental impact model
Spatial disaggregation
Microsimulation land-use transport model
Disaggregate environmental impact model
Disaggregate environmental impact model

3
Raster Module Methodology
  • post-processing of land use transport model
    output when higher spatial resolution is required
  • second spatial reference system physical
    micro-locations
  • maintaining the zonal organisation
  • adding a disaggregate raster-based representation
    of space
  • disaggregation of zonal and network attributes to
    raster space
  • calculation of local envionmental and social
    impacts of land use and transport policies
  • re-aggregation to indicators

4
Raster Module Structure
5
Raster Module Input Data
  • Zonal forecasts of land use transport model
  • - households
  • - employees
  • - land/floorspace
  • Link forecasts of land use transport model
  • - vehicles
  • - link speed
  • GIS data
  • - zones
  • - networks
  • - land use

6
Spatial Disaggregation Methodology
  • (1) Allocation of zonal data to raster cells

7
Spatial Disaggregation Methodology
  • (2) Spatial disaggregation of network data

8
Raster Module Indicator
  • Emissions
  • EGGT Greenhouse gases from transport
  • EAAT Acidifying gases from transport
  • EAOC Volatile organic compounds from transport

-gt advanced emission model (adapted from MEET,
Copert III) -gt speed-related emission functions
-gt detailed composition of vehicle fleet for base
year and evolution
9
Raster Module Indicator
  • Consumption of natural resources
  • EROT Consumption of mineral oil products,
    transport
  • -gt energy consumption model (adapted from Copert
    III)
  • ERLC Land coverage

10
Raster Module Indicator
  • Environmental quality
  • EQFO Fragmentation of open space

-gt Definition of open space pixels -gt Connected
pixels of open space -gt Average patch size for
study region in ha -gt to be used in evaluation as
change from base year
11
Raster Module Indicator
  • Environmental quality
  • EQQO Quality of open space

-gt pixels of open space without noise
disturbance -gt total undisturbed area of study
region in ha -gt to be used in evaluation as
change from base year
12
Raster Module Indicator
  • Health
  • SHEP Exposure to particulate matter in the
    living environment
  • SHED Exposure to nitrogen dioxide in the living
    environment
  • SHEN Exposure to traffic noise

-gt air dispersion and noise propagation
modelling -gt relates air quality and noise level
to disaggregated population
13
Raster Module Indicator
  • Accessibility and traffic
  • SAAO Accessibility to open space

-gt disaggregate accessibility modelling -gt search
window for each pixel of 5 x 5 km -gt
Accessibility potential
14
Demonstration of Raster Module
  • Demonstration example I Dortmund urban region

15
100x100 m Raster Cells in Dortmund
1 km2
16
100x100 m Raster Cells in Dortmund
1 km2
17
Land Use in the Dortmund Region
18
Spatial Disaggregation of Population
19
Spatial Disaggregation of Population - 3d
20
Population in Raster Cells and Transport Network
21
Spatial Disaggregation of Network Data
22
Emission (NO2)
23
Exposure to Air Pollution
24
Exposure to Traffic Noise
25
Open Space
26
Quality of Open Space I
27
Quality of Open Space II
28
Fragmentation of Open Space
29
Accessibility to Open Space
30
Demonstration of Raster Module
  • Demonstration example II Brussels urban region

31
Settlement Structure
32
Population Density
33
Employment Density
34
Traffic Noise in Base Year
35
Traffic Noise Difference 2021 v. 2001
36
Traffic Noise Difference in 2021 713 v. 000
37
Conclusions
  • from land use transport models (LT Models) to
    land use transport environment models (LTE
    Models)
  • overcoming separate modelling traditions
  • GIS integration
  • Methodology of Raster Module serves both
  • traditional, aggregate land use transport models
  • microsimulation models
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