1. 1 WILUTE: Wellington Integrated Land Use, Transport & Environment model Objective: to establish a platform to evaluate individual transport & land use policies and scenarios, with a particular focus on transport-related environmental & public health effects. Features: Focus on integration (land use and transport; environment and health…) Focus on co-benefits (environmental outcomes, health impacts) not modelled elsewhere Can complement other regional models (LTLUP,MASTER,TOPAZ2000)

2. WILUTE: 4 key questions (to date) 1. How do current and future land use and transport policies affect economic activities and property development in the Wellington Region? 2. How does the development of the transport and land use system affect local air quality and public health in the region? 3. Can new transport infrastructure (e.g. new LRT, new cycling lanes) change the features of current transport modes and promote green transportation? 4. To what extent can transport pricing policies (e.g. car parking, oil price) reduce transport emissions and achieve public health co-benefits? 2

3. 3 WILUTE: System approach Transport land use Affordable housing Air pollution Health benefits: Walking/Cycling Traffic accidents Travel costs

4. 4 WILUTE: architecture

5. 5 WILUTE: Modeling

6. 6 WILUTE: GIS based system Land useEconomic activitiesTravel demand Transport networksTraffic loadsLink emissions

7. 7 WLUTE: Data scales Area unit levelMeshblock levelParcel level Traffic zonesCensus dataHouses and building data

8. WLUTE: Stage 1, Data collection and cleaning Initial approach to data collection Issues that arose 1. Christchurch earthquake 2. Data was not consistent across councils in terms of detail and recording methodology 3. Model would be limited to lowest common denominator 8 Local councils and collect property and parcel databases along with roading/parking Use open source data (eg LINZ, Koordinates) Government departments

9. WLUTE: Stage 1, Data collection and cleaning So now using QV property data linked to parcel data CURRENT WORK Cleaning and developing road network files Linking QV dataset with parcel ID dataset Grouping and simplifying QV dataset Determining landuse split in parent-child arrangements Mapping parking 9