CorPlan: Place Based Scenario Planning Tool

CorPlan: Place Based Scenario Planning Tool Renaissance Planning Group Chris Sinclair, AICP

Overview • Background • CorPlan methodology • GIS polygon layer (canvas) • Community data table (paint) • Allocation (design) • Summary (admire your work) • Regional scenario case study

Background

Land Use Modeling Methods • Agent base modeling – Community Viz • Behavioral approach – Urban Sim • Policy oriented approach – What If? • Land use suitability approach – LUCIS

Limitations of Current Methods • Inadequate consideration of site design • Inability to telescope among scales • Black box versus intentional design • Limited visualization ZDATA1 SFDU SFPOP MFDUMFPOP ZDATA2 INDEMP COMEMP SEREMP

Searching for Solutions • Integrate design, data and scales • Intentional design, not black box • Detailed, comprehensive Information ZDATA1 SFDU SFPOP MFDUMFPOP ZDATA2 INDEMP COMEMP SEREMP

CorPlan : A GIS Application

CorPlan Workflow Trip Generation Polygon Layer (Canvas) Transportation Model Socio / Land Use Data Summary ArcMap (Allocation) Socio / Land Use Data Export Community Data (Paint)

Base Polygon (Canvas) • Ability to work at differing scales • Development pods – site analysis • Parcels – site to regional analysis • Polygrids – regional / corridor analysis • Community data assigned to polygons • Data describes development characteristics • Data scaled to size of polygon

Site Planning • Development pods are geographic allocation basis • Quickly test site plan options

Regional Analysis • Divide region / corridor into equally sized grids • Assign community data to each grid • Grid data summarized by larger polygons (i.e., TAZs) Sample polygon layer (1/10th acre polygrid)

Classifying Polygons • Undevelopable - polygons “masked” and assumed unchanged • Environmental constraints • Rights of way • Newly developed, stable development • Redevelopable - assignments are factored to a portion of development potential • Developable - assignments assigned at full value

Classifying Polygons Undevelopable existing uses Developable land Undevelopable environmental land Sample polygon layer (1/10th Acre Polygrid)

Lot Data LOT Type Category Household Type Residential Ratio Commercial Ratio Service Ratio Industrial Ratio . . . Reference CE Type Building SQFT Residential Ratio Commercial Ratio Service Ratio Industrial Ratio . . . Community Element CE Type LOT Type Proportion Redev. Factor . . . Relational Databases Development characteristics based on user input Development characteristics based on Lot Type mix Characteristics factored to polygon size

Community Data • Detailed characteristics of differing building and development types • Data levels • Lots • Community elements • Lot type composites for geography larger than lot • Recommended scales • Blocks – around 10 acres • Pedestrian sheds – around 40 acres • Place sections – around 160 acres • Places – around 640 acres (square mile)

Community Data Levels / Scales 10 Acres 640 Acres 160 Acres 40Acres Block Pedestrian shed Lot Place section Place Community Element Scales

Lot Building Data Lot Library of building types Lot Characteristics

Defining Lot Building Types • Any type of building can be defined by data • Lots without buildings can be defined

Community Element Data • Lot building data are “building blocks” for areas larger than lots (community elements) • Larger areas based on analysis scales • Possible scales • Blocks • Pedestrian sheds • Place sections • Places

Community Element Data Lot types 640 Acres 160 Acres 40Acres Library of community element types Library of building types

Density/Intensity Check Quick check of community element composition

Designing Community Elements • Option 1 – Use CorPlan Design Module

Designing Community Elements • Option 2 – Use design software, such as Sketch Up, and import to CorPlan Design Concept Underlying lot and building polygons exported to Corplan

Designing Community Elements • Option 3 – Field inventory of existing place 1/4 mi

Community Element Library • Library is “palette of colors” used to paint polygons in polygon layer • Number of differing community elements is unlimited

Allocating Community Elements Step 1 – Select polygons for allocation

Allocating Community Elements Step 2 – Select community element to allocate

Allocating Community Elements Step 3 – Program scales selected community element data to selected area and updates study area database

Modification of Allocation • Remove allocation • Re-assign to another building type / community element • Modify a community element

CorPlan Workflow Trip Generation Preparing Polygon (Canvas) Transportation Model Socio / Land Use Data Summary ArcMap (Allocation) Socio / Land Use Data Export Building Community Data (Paint)

Reviewing Allocation • Track allocation overall or in sub-areas Step 1 – Select areas to summarize

Reviewing Allocation • Track allocation overall or in sub-areas Step 2 – Review summary Able to compare with preset target

Exporting Allocation • Summarize allocated data by any geographical boundary (TAZ or census block) or community element • Export summarized data in DBF for further analysis • Generate input data for transportation modeling (ZDATA)

Exporting Allocation Step 1 – Select summary level (i.e., traffic analysis zones) Step 2 – Select area to export Step 3 – Select fields to export

CorPlan ApplicationRegional Scenario Planning

Project Overview • 2035 Jacksonville, FL Long Range Transportation Plan – assess future transportation needs • Scenario planning –test impacts of different development patterns & transportation needs

Community Element Inventory CE Design Model • Example: City Element • Mix of uses • Buildings 2 – 6 stories • Prototypes • Downtown St. Augustine • Edge of Downtown Jacksonville

Scenario Workshop • Dot map game • Community element dots with differing values provided to participants • Urban • Suburban • Rural • Target population total provided to all groups • Place dots on regional map until target reached

Workshop Maps become Scenarios • Group maps differed in growth strategy • Each group described the strategy used to choose and place dots • Maps become basis for scenarios

Conversion to GIS Data • Dot game maps translated into CorPlan scenarios • Scenarios used the same control total for “apples to apples” comparisons

ScenarioComparison • Land use and access comparisons

Scenario Comparison • Travel demand comparisons

3D Visualization • Easy to create 3D models based on the community elements were created for key locations in region • Models helped link colors on map with design characteristics

Summary • Integrative • Design and data • Across scales • Intentional • User in control of design • Simulation models can verify • Informational • Export to 4 step travel demand models • Export to fiscal impact / environmental models

CorPlan: Place Based Scenario Planning Tool