Pacific Southwest Region 9 UTC

Vertical Equity Statewide Pilot, Data Inventory, and Guidelines for Performance Based Planning

Project Number

UCSB-17-05

Project Summary

 

Funding Source(s) and
Amounts Provided (by each agency or organization)

Project Status

In progress

Year

2017

Topic Area

Urban Mobility

P.I. Name & Address

Professor , Geographic Information Science, Transportation
University of California, Santa Barbara
5706 Ellison Hall
Santa Barbara, CA 93106
United States
goulias@geog.ucsb.edu

 

Funding Source(s) and
Amounts Provided (by each agency or organization)

PSR (DOT)

$99,572

Total Project Cost

$

Agency ID or Contract Number

No sub-award number yet

Start and End Dates

1/1/2018 – 12/31/2018

Brief Description of
Research Project

In this project we develop a method for vertical equity analysis.  Vertical equity is the analysis of disadvantages groups of different incomes and other sociodemographic characteristics experience from the land use-transportation system.  We first create a data inventory for the indicators needed to satisfy performance based planning in California.  This inventory is comprehensive and covers many goals in CTP 2040.  In parallel, using detailed in space and time database in the GeoTrans laboratory we create a first pilot geo-computation of equity indicators covering the entire State at fine spatial detail.  We compare data available and this pilot to the literature on gentrification, equity analysis, and access to opportunities.  We also develop a crowdsourcing method to collect input for the expert community in three different stages.  First on the first pilot geo-computation online and at TRB 2018) and the after an improved method is developed we check with a wider spectrum of experts at an international conference in Santa Barbara.  Input from the different expert sources that is used to create a second pilot geocomputation of equity is particularly important and for this reason requires special attention in a dedicated task.  The project ends with the creation of guidelines for data collection, computational examples, and guidelines for research and practice. 

Describe Implementation of Research Outcomes (or why not implemented)

 

Impacts/Benefits of Implementation (actual, not anticipated)

 

Web Links, Reports, Project website