Measuring Transit-Coverage Level- Of-Service in U.S. Border Cities Luis David Galicia, Ph.D. Texas A&M Transportation Institute https://plus.google.com/108921303273699318714/photos?hl=en.

Slides:



Advertisements
Similar presentations
THURSTON REGION MULTIMODAL TRAVEL DEMAND FORECASTING MODEL IMPLEMENTATION IN EMME/2 - Presentation at the 15th International EMME/2 Users Group Conference.
Advertisements

Transit Capacity & Quality of Service Manual, 3rd Edition Fixed Route Quality of Service.
PASSENGER O-D TRIP TABLE FROM FAREBOX RECEIPTS Kelly Chan 2013 GIS in Transit Conference, October 16, 2013.
GIS and Transportation Planning
Smith Myung, Cambridge Systematics Sean McAtee, Cambridge Systematics Cambridge Systematics.
GIS methodology for bicycle parking planning in BRT systems: Case study in Bogota - Colombia Daniel PáezUniversidad de los Andes.
Norman Washington Garrick CE 2710 Spring 2014 Lecture 07
What is the Model??? A Primer on Transportation Demand Forecasting Models Shawn Turner Theo Petritsch Keith Lovan Lisa Aultman-Hall.
Chapter 4 1 Chapter 4. Modeling Transportation Demand and Supply 1.List the four steps of transportation demand analysis 2.List the four steps of travel.
Session 11: Model Calibration, Validation, and Reasonableness Checks
University Bus Systems: Network Flow Demand Analysis By Craig Yannes University of Connecticut October 21, 2008.
CE 2710 Transportation Engineering
Measuring Rural Transit Availability Nicholas E. Lownes, Ph.D. 18th National Rural and Intercity Bus Transportation Conference October 21, 2008.
Cheryl Thole, Jennifer Flynn CUTR/NBRTI, Senior Research Associates Transit in GIS Conference September 14, 2011 St. Petersburg, Florida.
Opportunities & Challenges Using Passively Collected Data In Travel Demand Modeling 15 th TRB Transportation Planning Applications Conference Atlantic.
Review of Sun Metro LIFT Services Texas A&M Transportation Institute 1 September 9, 2014.
Alain Bertaud Urbanist Module 2: Spatial Analysis and Urban Land Planning The Spatial Structure of Cities: International Examples of the Interaction of.
COLLABORATE. INNOVATE. EDUCATE. What Smartphone Bicycle GPS Data Can Tell Us About Current Modeling Efforts Katie Kam, The University of Texas at Austin.
An Experimental Procedure for Mid Block-Based Traffic Assignment on Sub-area with Detailed Road Network Tao Ye M.A.Sc Candidate University of Toronto MCRI.
KY 4/22 Module 1b Chapter 3 in the TS Manual Main Survey Types.
Miao(Mia) Gao, Travel Demand Modeler, HDR Engineering Santanu Roy, Transportation Planning Manager, HDR Engineering Ridership Forecasting for Central Corridor.
Milton-Madison Bi-State Travel Demand Model Rob Bostrom Planning Application Conference Houston, Texas May 19, 2009.
1 Using Transit Market Analysis Tools to Evaluate Transit Service Improvements for a Regional Transportation Plan TRB Transportation Applications May 20,
Implementing a Blended Model System to Forecast Transportation and Land Use Changes at Bob Hope Airport 15 th TRB National Transportation Planning Applications.
1 Presentation to TAC June 17, 2009 Overview of Rapid Bus Measures and Effectiveness And Case Studies.
A Spatial Analysis of Orange Line Rider Demographics November 1, 2012By Tamar Sarkisian.
Bureau of Transportation Statistics U.S. Department of Transportation Overall Travel Patterns of Older Americans Jeffery L. Memmott
Sketch Model to Forecast Heavy-Rail Ridership Len Usvyat 1, Linda Meckel 1, Mary DiCarlantonio 2, Clayton Lane 1 – PB Americas, Inc. 2 – Jeffrey Parker.
5 th Bi-Annual Border to Border Conference Development of an Origin-Destination Matrix for the Paso Del Norte Region (Regional Master Network Phase IV)
Welcome to the TSIP Project Webinar Planning Technical Working Group 28 July – 3:30 pm.
Materials developed by K. Watkins, J. LaMondia and C. Brakewood Service Planning & Standards Unit 4: Service Planning & Network Design.
The Mid-Ohio Regional Planning Commission The 11th TRB National Transportation Planning Applications Conference May 9,
Developing A Short Range Transit Plan AzTA/ADOT Transit Conference April 2014 John Andoh, Transit Director, Yuma County Intergovernmental Public Transportation.
Characteristics of Weekend Travel in the City of Calgary: Towards a Model of Weekend Travel Demand JD Hunt, University of Calgary DM Atkins, City of Calgary.
Using ArcView to Create a Transit Need Index John Babcock GRG394 Final Presentation.
Business Logistics 420 Public Transportation Lecture 18: Demand Forecasting.
T Transportation and Land Use There is a growing acceptance in the transportation planning community that the effects of transportation and land.
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
Capturing the Effects of Smart Growth on Travel and Climate Change Jerry Walters, Fehr & Peers Modeling for Regional and Interregional Planning Caltrans.
RPS Land Use and Transportation Modeling Results Presentation to RPS TAC & MPO TAC Brian Gregor Transportation Planning Analysis Unit May 17, 2006.
David B. Roden, Senior Consulting Manager Analysis of Transportation Projects in Northern Virginia TRB Transportation Planning Applications Conference.
Ying Chen, AICP, PTP, Parsons Brinckerhoff Ronald Eash, PE, Parsons Brinckerhoff Mary Lupa, AICP, Parsons Brinckerhoff 13 th TRB Transportation Planning.
Purpose To develop and evaluate a range of transit and transportation alternatives throughout the MPO area, considering: u Regional Goals and Objectives.
Presented to MTF Transit Committee presented by David Schmitt, AICP November 20, 2008 FSUTMS Transit Survey Applied Research.
FDOT Transit Office Modeling Initiatives The Transit Office has undertaken a number of initiatives in collaboration with the Systems Planning Office and.
Transit Quality of Service Applications Comprehensive Planning November 2, 2007 Florida Department of Transportation Public Transit Office.
Russell Provost Urban and Regional Planning Principal Investigator: Ruth Steiner.
Comparison of an ABTM and a 4-Step Model as a Tool for Transportation Planning TRB Transportation Planning Application Conference May 8, 2007.
Serving a “Rainbow” Ridership – Designing and Providing High-Quality Public Transit for a Demographically Diverse Population Lyndon Henry COMTO Conference.
Preliminary Evaluation of Cellular Origin- Destination Data as a Basis for Forecasting Non-Resident Travel 15 th TRB National Transportation Planning Applications.
Center for Urban Transportation Research | University of South Florida Developing Customer Oriented Transit Performance Measures National Transit GIS Conference.
How far people are willing to walk to public transport? A case study in Munich City Walk21,Vienna Rumana Islam Sarker Research Assistant, Institute.
1 Methods to Assess Land Use and Transportation Balance By Carlos A. Alba May 2007.
Highway Capacity Manual. Highway Capacity Manual (HCM) Most widely referenced and best selling document of the Transportation Research Board HCM 2000:
Florida’s First Eco-Sustainable City. 80,000+ Residential Units 10 million s.f. Non-Residential 20 Schools International Clean Technology Center Multi-Modal.
Jennifer Dill Marc Schlossberg Linda Cherrington Suzie Edrington Jonathan Brooks Donald Hayward Oana McKinney Neal Downing Martin Catala.
Transit Choices BaltimoreLink Ad-hoc Committee Meeting January 12, 2016.
Walk Statistics.  The question has been asked: “Is Lomas a better BRT corridor than Central?”  The purpose of this analysis is to compare the two corridors.
Research Report Writing Presentation
ACCESS TO DESTINATION: DEVELOPMENT OF ACCESSIBILITY MEASURES Ahmed M. El-Geneidy David M. Levinson University of Minnesota.
Regional Transportation Plan Draft Hybrid Scenario Transportation Policy Committee 7/22/03.
City Centres: Understanding the Travel Behaviour of Residents and the Implications for Sustainable Travel Firas H.A. Asad Ph.D. Student – CSE School -
Gateway EMX Performance Review
Statewide Mode Choice Models for Tennessee
Optimal Zone Design for Feeder Transit Services
Leta F. Huntsinger, PhD, PE Senior Technical Principal, WSP
An update on the Service Change proposal
Chapter 4. Modeling Transportation Demand and Supply
Tweet about this presentation #TransitGIS
MSP Regional Travel Behavior Inventory Program
Presentation transcript:

Measuring Transit-Coverage Level- Of-Service in U.S. Border Cities Luis David Galicia, Ph.D. Texas A&M Transportation Institute

Overview of Presentation Background and Problem Statement Literature Review Case Study Hypothesis Data Collection Methodology Results and Conclusions 2

Background A similar concept, Service Coverage-Level Of Service (SC-LOS), was adopted in the first edition of Transit Capacity and Quality of Service Manual (TCQSM) in 2004 The LOS is divided in 6 categories being “A” the highest and “F” the lowest 3

Service Coverage is defined by the TCQSM as “the availability a potential transit user has to access the transit system within a reasonable walking distance (typically ¼ of a mile) from the user’s origin or the user’s final destination” mile

Problem Statement Is the SC-LOS suitable for border cities/regions in the U.S? 5 Source: The El Paso del Norte Group

6 What the Literature Says.. Transit Supportive Area (TSA) concept* is included in TCQSM- Chapter 3 (2 nd Edition) and Chapter 5 (3 rd Edition) “Fixed- Route Transit Service Measures” *Pushkarev, B., J. M. Zupan. Public Transportation and Land Use Policy. Bloomington, IN. Indiana University Press, 1977 Source: TCQSM 2nd Edition

Case Study (City of El Paso, Texas) TSA 7 HH

Hypothesis Even though the TCQSM and TLOS help planners shape the areas that support transit route coverage, these methodologies might not lead to the most accurate results at border cities/regions The TSA concept might “exclude” transit riders that have their work-base trips originated in other areas 8

Data Collection Shapefiles provided by local MPO, and other web sources City of El Paso (Passenger Counts) Sun Metro’s Official Route Shapefiles GIS Spatial Analysis (2009) TTI’s O-D Survey 9

The TCQSM method…Step 1 10

The TCQSM method…Step 2 11

Author’s suggested method…Step 1 12 Off-Board Origin Destination Intercept Survey

Author’s suggested method…Step 3 13

Author’s suggested method…Step 4 (Recalculation of SC-LOS based on OD Survey) 14

TCQSM (2 nd Edition) vs Author’s Suggested Method 15

TCQSM (2 nd Edition) vs TCQSM (3 rd Edition) 16

Conclusions The hypothesis was confirm via the suggested methodology The occurrence of work-based trip attraction at TAZs with almost no employment suggests that the work trips are for household services The portion of TSAs covered by the transit service increased by approximately 5% just by adding some TSAs with relatively high passenger volumes (although these TSAs have low household density or employment) TCQSM’s TSA and SC-LOS determination methodology may not cover border regions with special trip generators or attractors, such as the one presented in this research 17

Further Analysis Refinement of actual walking distances Use of other border cities with similar conditions as case studies (USA-MEX and USA- CAN) Use of up-to-date ridership data Suggestions? 18