INTERACTIVE WEB-BASED MAPPING FOR TITLE VI ANALYSIS AND PUBLIC TRANSIT SYSTEM DATA MANAGEMENT Nicholas Lownes, PhD, PE October 16, 2013 Organization Context Motivation t-HUB Application Example Looking forward CONNECTICUT Population 3.5 million Land Area 5,500 mi2 (14,300 km2) MINNEAPOLIS METRO AREA SE QUEENSLAND METRO AREA Population Population 3.4 3.05million million 2) 2) Land Land Area Area 6,300 8,700 mi mi22(8,800 (22,400kmkm SEATTLE METRO AREA Population 3.5 million Land Area 5,900 mi2 (14,400 km2) MELBOURNE METRO AREA Population 4.2 million Land Area 3,400 mi2 (8,800 km2) Connecticut’s 14 Regional Planning Organizations (RPOs) And their 18+ fixed route bus transit agencies… Title VI Reporting 5303 & 5304 Depends 5310 /5311 Large RPOs DOT Non-profits Subrecipients 5 FTA Enhanced Mob/Rural Planning Direct and Primary report to FTA Bus Fac./Good repair UZA Formula 5307 5337, 5339 Large Operators Small and Rural Operators/RPOs Transit Districts Towns Report to primary Connecticut is aging… …and Urbanizing Motivation Why is a university research team interested in Title VI compliance? Motivation June 2011: Discussions with Transit Working Group Title VI & data management pressing concerns April 2012: Meeting with CTDOT Commissioner August 2012: Begin t-HUB prototype development November 2012: First Title VI workshop Lectures, breakouts and survey to ID needs February 2013: Second Title VI Workshop t-HUB demo & feedback Why measure equity? 9 Quality of Life (Glaeser et al., 2009) Higher crime rates in more unequal cities Higher likelihood of political unrest and uprisings People are more likely to report they are unhappy when living in more unequal cities It’s the law Title VI of the Civil Rights Act of 1964 It is federal policy Executive Order 12898 on Environmental Justice Signing of the Civil Rights Act 1964 (http://en.wikipedia.org/wiki/File:Lyndon_Johnson_signing_Civil_Rights_ Act,_July_2,_1964.jpg) Title VI and network planning Support Social Policy Provision of service to those who cannot take private auto (captive riders) Provide minimum level of accessibility to all members of society. Provide Efficient Transport Give opportunity to choose between private auto and public transport. Reduce auto congestion in congested corridors at peak times by making transit attractive. Contribute to a sustainable city Public transport is an essential part of urban structure. Source: HiTrans (2005) Replace auto as primary mode of travel. Stimulate non-auto activity and community development. Value of Access 11 Cost of owning an additional vehicle: $6,200/year (Bailey, 2007) $8,000 – 10,000 K/year (AAA, 2013) Gas Maintenance Tires A “thrifty” family of four in the U.S. spends about $6,500 on food every year (USDA 2013) Ownership Costs (Dollars/Year) Operating Costs (Cents/mile) Insurance Lic/Reg/Tax Depreciation 14.45 4.97 1.0 1,029 600 3,571 Total Cost (Dollars/Year ) 15,000 mi/yr 8,263 Equity in connectivity 12 LIHCO HH (Currie and Senbergs, 2007) 2+ vehicles and $0-20K HH income 3+ vehicles and $20-30K HH income. Focus on urban core – reasonable expectation of transit service Note: Numbers on map represent aggregate number of LIHCO households in each block group for a total of 1,241 Targeted access 13 0.4 0.35 LIHCO 0.3 0.25 0.2 R² = 0.1406 0.15 0.1 0.05 0 0 0.5 Low Income Job Accessibility 1 0.4 0.35 LIHCO 0.3 0.25 0.2 0.15 0.1 R² = 0.1221 0.05 0 0 Hart and Lownes (in press), Transportation Research Record 5 Late Night Service Frequency 10 Low-income, high vehicle ownership households correlated to a lack of job access and late night service. t-HUB Vision: Statewide public transit system data hub Web Application User edit features Level the GIS playing field Connecticut Transport Data Hub (t-HUB) 15 Emergency Response The Public Transport Network Title VI Rider Survey Data Active Transport Mgmt Land Use Public Health A web application for Connecticut transit planners, operators and analysts A multi-disciplinary team 16 PUBLIC TRANSPORTATION SYSTEMS Nicholas Lownes (CEE faculty) Kelly Bertolaccini (PhD student) Sina Kahrobaei (MS student) DATABASE DESIGN Dong-Guk Shin (CSE faculty) Timothy Becker (PhD student) TRANSPORTATION DATABASES Eric Jackson (CTSRC Director) Timothy Becker (PhD student) GIS DEVELOPMENT Jeffrey Osleeb (Geography faculty) Curtis Denton (PhD candidate) Michael Howser (Director, CTSDC) T-HUB architecture Source: Timothy Becker Agency •Agency Fare Attributes •Fare ID Routes •Agency •Route ID Fare Rules •Contains •Destination Zone •Fare ID •Origin Zone •Route ID Trips Shapes •Shape ID Calendar •Service ID •Days & Times •Block •Direction •Route ID •Service ID •Shape ID •Trip ID Stop Times •Stop ID •Trip ID Frequencies •Trip ID Calendar Dates •Service ID •Seasons/holidays Stops •Stop ID •Zone Transfers •From stop ID •To stop ID GTFS File Structure Source: Curtis Denton t-HUB Tools Vision MSSQL drv,srv, uid,pwd, conn, SQL, V conn exe File_Tools GZIP, ZIP, CSV Reading & Writing close Analysis_ Tools csv Quantifying Functions & Algorithms gzip zip ACS5YR2 MSSQL LEHD2 MSSQL GTFS2 MSSQL mssql_conn acsfiveyr_files mssql_conn lehd_files mssql_conn gtfs_files stats trans seg Output Input parameters Identifying Minority-serving routes Identifying Low Income routes Identifying LEP-serving routes Looking ahead O – D based accessibility metrics (TOI) CTDOT Service Equity Analysis Transit Service Analyses for RPOs Real-time data incorporation We will be at the poster session! Questions? Nick Lownes nlownes@engr.uconn.edu Thank you to: - Center for Transportation and Livable Systems - New England University Transportation Center - Connecticut DOT - University of Connecticut