E-Bike Sharing and the Infrastructure Implications and Environmental Impacts of New Technology in Transportation Systems
Project ID: CTEDD 020-04
Author(s): Andrea Hicks, University of Wisconsin - Madison
Co-Author(s): Soyoung (Sue) Ahn, University of Wisconsin - Madison
CTEDD Funding Year: 2020 General RFP
Summary:
Electric bicycles, and electric bicycle sharing programs, represent a new technology in the transportation system. E-bike sharing programs have the potential to replace current modes of transportation, while also improving the mobility of disadvantaged populations. This work will use a survey approach to gather data as to who the users of the e-bike share are and the types of trips which they are making with the e-bikes.
Gender Analysis Tool for Complete Streets Policy Implementation: Mobility, Families, and Emerging Technologies
Project ID: CTEDD 020-03
Author(s): Carolyn McAndrews, University of Wisconsin – Madison
Co-Author(s): Lingqian Hu, University of Wisconsin-Milwaukee, Catherine Ross, Georgia Institute of Technology, Robert Schneider, University of Wisconsin-Madison, Yu Zhang, University of South Florida.
CTEDD Funding Year: 2020 General RFP
Summary:
In the U.S. and throughout the world, engineers and planners recognize the need for streets to support safe mobility for different travel modes and types of users. Complete streets policies capture this aim of inclusivity by emphasizing design for older and younger travelers as well as people with disabilities. Issues of gender, families, and caregiving are implicit in this idea of a complete street. On average, women have more household responsibility for accompanying younger, older, and less mobile travelers.
Exploring a Novel Public-Private Partnership Data-Sharing Policy through a Collaborative Arterial Traffic Management System
Project ID: CTEDD 020-02
Author(s): Pengfei (Taylor) Li, University of Texas at Arlington
Co-Author(s): Michael Hunter, Georgia Institute of Technology & Angshuman Guin, Georgia Institute of Technology
CTEDD Funding Year: 2020 General RFP
Summary:
According to the latest Urban Mobility Report published by Texas A&M Transportation Institute (TTI), urban traffic congestion, mostly generated on urban arterials, is a persistently growing problem. In 2017, the total congestion cost in 494 U.S. urban areas was $166 billion and the extra travel time was 8.8 billion hours. Urban congestion is negatively affecting the economy and society of U.S. To solve the urban congestions, the University of Texas Arlington and Georgia Institute of Technology will collaborate to investigate a new Public-Private-Partnership (PPP) Data Sharing Policy through developing a novel arterial system performance monitoring and optimization system.
Transportation Equity Needs Assessment Toolkit
Project ID: CTEDD 020-01
Author(s): Kristine Williams, University of South Florida (USF)
Co-Author(s): Jeff Kramer, University of South Florida & Yaye Keita University of South Florida
CTEDD Funding Year: 2020 General RFP
Summary:
This project would complement the Transportation Equity Scorecard ─ a tool for project screening and prioritization ─ that is currently being developed by the project team with funding from CTEDD. For this RFP, we propose developing a needs assessment audit tool and supporting guidance to demonstrate how the equity criteria and methods in the Scorecard would be applied by MPOs and local governments to assess the transportation needs of communities of concern, including minority and low-income households, LEP populations, children, elderly, and persons with disabilities. This project continues a prior study, and together the two form a comprehensive approach from needs identification to project prioritization in the form of a Transportation Equity Toolkit.
More Freight Vehicle Crashes on City Streets in Residential Areas: Why and to What Extent? A Case Study in Dallas-Fort Worth, TX
Project ID: CTEDD 018-15
Author(s): Sanggyun Kang, University of Texas at Arlington
Co-Author(s): Muhammad Arif Khan, Univeristy of Texas at Arlington
CTEDD Funding Year: University-Industry Partnership Project
Subjects: Development Patterns, Fixed Effects Panel Model, Negative Binomial Model, Traffic Safety, Truck-involved Crash
Summary:
Over the last decade, globalized supply chains, restructured logistics and freight transportation practices, and exploding online shopping have influenced how goods are produced, transported, stored, and sold. All these changes have resulted in substantial shifts in the spatial distribution of freight activity, as well as vehicles crashes that involved at least one freight vehicle (freight vehicle crash). As a case study, we examine the correlation between development patterns and freight vehicle crashes on city streets in Dallas-Fort Worth (DFW), TX.
Future @ Fort Worth: Capacity Analysis, Success Factors, and Growth Vision for the Fort Worth Medical Innovation District (FW-MID)
Project ID: CTEDD 019-01 IN
Author(s): Shima Hamidi, University of Texas at Arlington
Co-Author(s): Ahoura Zandiatashbar, University of Texas at Arlington
CTEDD Funding Year: University-Industry Partnership Project
Subjects: Capacity Analysis, Community Engagement, Innovation District, Mixed Methods Analysis, Strategic Planning
Summary:
The City of Fort Worth, Texas, has requested the University of Texas at Arlington to develop a framework, capacity analysis, and strategic development plan for the Fort Worth Medical Innovation District (FW-MID). We envision this project in two phases. The first phase responds to the intent of the City to conduct a capacity analysis and develop a comprehensive framework about the FW-MID.
Assisting Vision-Impaired Pedestrians to Cross Streets: An Innovative Accoustic Ranging Approach
Project ID: CTEDD 019-24
Author(s): Ming Li, University of Texas at Arlington
CTEDD Funding Year: 2019 General RFP
Summary:
This project aims to leverage innovative techniques to develop an intelligent system that assists blind pedestrians to decide when it is safe to cross streets, especially at the uncontrolled crossing locations, where neither traffic lights nor STOP signs are available.
Enhancing Traffic Flow and Driving Safety via Artificial Intelligence
Project ID: CTEDD 019-23
Author(s): Amir Shahmoradi, University of Texas at Arlington
Co-Author(s): Shima Hamidi, University of Texas at Arlington
CTEDD Funding Year: 2019 General RFP
Summary:
Motivated by the priorities highlighted by Texas Department of Transportation (TXDOT) and following the guidelines in the recent presidential “Executive Order on Maintaining American Leadership in Artificial Intelligence” in 2019, this proposal aims to utilize the state-of-the-art tools and techniques in the field of Artificial Intelligence and Data Science to automatically identify and report traffic-related anomalies and hazards using live traffic camera footage across major highways and arterial roads in the State of Texas.
Equity Assessment of Plug-in Electric Vehicle Purchase Incentives
Project ID: CTEDD 019-21
Author(s): Haobing Liu, Georgia Institute of Technology
Co-Author(s): Michael Rogers, Georgia Institute of Technology; Randall Guensler, Georgia Institute of Technology
CTEDD Funding Year: 2019 General RFP
Summary:
The development and deployment of Plug-in Electric Vehicles (PEVs) helps reducing energy use, achieve greater energy security, decrease emissions, and provide operating cost stability. To help consumers overcome the higher initial purchase costs of PEVs, and to help promote PEV adoption, government agencies and electric utilities have offered incentives of various design.
Modern Project Prioritization for Transportation Investments
Project ID: CTEDD 019-19
Author(s): David Noyce, University of Wisconsin – Madison
Co-Author(s): Chris McCahill, University of Wisconsin – Madison; Eric Sundquist, University of Wisconsin – Madison
CTEDD Funding Year: 2019 General RFP
Summary:
Historically, transportation agencies’ main priority has been to fund, build and expand highways to safely meet the growing demand for vehicle travel. Their project prioritization processes, therefore, have focused primarily on improving capacity along the most congested major routes. Many of these agencies, however, have experienced a shift in priorities toward the maintenance of existing infrastructure, the facilitation of multi-modal transportation, and the operations and management of existing infrastructure—applications that can be more challenging to fund.