Transportation Commons^™

Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller

Asian Management Insights

Ranked as the best airport for seven consecutive years, Singapore’s Changi Airport is lauded the world over for the efficient, safe, pleasurable and seamless service it offers the millions of passengers that pass through its facilities annually. Much of Changi Airport’s success can be attributed to the organisation’s customer-oriented business focus and deeply embedded culture of service excellence, combined with a host of advanced technologies operating invisibly in the background. The framework for this technology enablement is Changi Airport Group’s (CAG’s) SMART Airport Vision—an enterprise-wide approach to connective technologies that leverages sensors, data fusion, data analytics, and artificial intelligence (AI), …

Transit-Oriented Development And The Implications For Equitable Development: A Case Study Of The Milwaukee Streetcar, Joshua Diciaula

Theses and Dissertations

Many cities across the US have reintroduced the streetcar as an economic development tool, or as an image-branding and tourism-promoting amenity, while public transportation benefits are largely afterthoughts. The purpose of this research is to investigate the Milwaukee Streetcar as a transit-oriented development strategy, the distribution of benefits and burdens, and its implications for equitable development. Guided by semi-structured interviews and content/discourse analysis of planning/policy documents through an equity lens, this study analyzed Milwaukee’s initial downtown streetcar routes against the potential extension lines into the more transit-dependent communities of Bronzeville and Walker’s Point. The findings suggest that the initial routes …

Re-Org: An Online Repositioning Guidance Agent, Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar

Research Collection School Of Computing and Information Systems

No abstract provided.

Value Capture To Fund Public Transportation: The Impact Of Warm Springs Bart Station On The Value Of Neighboring Residential Properties In Fremont, Ca, Shishir Mathur

Mineta Transportation Institute Publications

This study estimates households’ willingness to pay for single-family houses and condominiums/townhouses located within 2 miles of Warm Springs (WS) BART Station in Fremont, CA. The study finds that, compared to the houses sold in the referent category (2 to 5 miles away and sold during the pre-project-announcement period of 2000-2001), an average-priced single-family house within two miles of the WS BART Station was higher in price by 9% to 15%. The total property value increment for the single-family houses is large enough to fund the $802 million Warm Springs BART Extension Project cost five times over.

How And Where Should I Ride This Thing? “Rules Of The Road” For Personal Transportation Devices, Kevin Fang, Asha Weinstein Agrawal, Ashley M. Hooper

Mineta Transportation Institute Publications

In recent years, “Personal Transportation Devices” (PTDs) have exploded onto streets and sidewalks. These small devices transport individual persons at slow speeds and are either human-powered or motorized. Examples include electric (kick) scooters, skateboards, e-skateboards, roller blades, and Segways. One key to successfully integrating PTDs into community streets will be the implementation of consistent and suitable regulations over user behavior: “rules of the road” for PTD riders. To help local officials identify appropriate rules for rider behavior, this report documents and analyzes existing PTD regulations across 176 jurisdictions and then presents recommendations for a set of state-level “rules of the …

How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark

TREC Final Reports

This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and case studies to illustrate these projections. The first section of this report looks at the effects of transportation network companies (TNCs)—Uber and Lyft in particular—on parking revenue in the city of Seattle. The results of the study indicate that …

The E-Bike Potential: Estimating The Effect Of E-Bikes On Person Miles Travelled And Greenhouse Gas Emissions, Michael Mcqueen, John Macarthur, Christopher Cherry

TREC Final Reports

Many cities have goals for reducing automotive VMT in order to reduce tailpipe emissions and to reduce congestion. Conventional cycling is a good solution, though its uptake has slowed in recent years in several cities, despite the implementation of greenways, bikeshare, and bike lines (Anderson and McLeod 2017). Electric bicycles (e-bikes) could be an effective new part of the solution to combat mode shift stagnation. The e-bike is a recently introduced mode of travel that is rapidly gaining in popularity throughout the United States.

The e-bike can offer a cheaper alternative to car travel (Popovich et al. 2014) and can …

How E-Bike Incentive Programs Are Used To Expand The Market, Michael Mcqueen, John Macarthur, Christopher Cherry

TREC Final Reports

The electric bicycle (e-bike) is a low emission mode of transportation that offers communities benefits in the areas of health, planning, time, cost, street safety, congestion, air pollution, noise pollution, and energy security (Blondel, Mispelon, and Ferguson 2011). In a recent study conducted by Portland State University, e-bikes have been found to enable more people to ride a bicycle for longer distances despite physical limitations, difficult terrain, and the presence of cargo (MacArthur et al. 2018). However, overall e-bike adoption in the United States remains limited due in part to high purchase cost (Dill and Rose 2012; Popovich et al. …

Older Adults’ Perceptions Regarding Transportation Services In San Jose, Ca: Access, Barriers, And Innovations, Deborah Bolding

Mineta Transportation Institute Publications

The purpose of this study was to examine the perceptions of older adults concerning barriers to the use of public transportation, to identify programs and services that best meet transportation needs, and to obtain suggestions for improvements or innovations in order to enable them to engage more fully in their community. Four focus groups, with a total of 25 participants, were held in three locations in San Jose, CA. While the participants were able to use public transportation to access shopping, medical services and other destinations, they expressed concerns related to physical barriers, frequency of services, the behavior of some …

Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller

Asian Management Insights

Since 2017, Changi Airport group (CAG) has initiated a host of pilot projects that use connective and intelligent technologies to enable its move towards digital transformation and SMART Airport Vision. This has resulted in a first wave of deployment of AI and Machine Learning-enabled applications across various functions that can better sense, analyse, predict, and interact with people.

“Paying” The Way For A Better Bart Future: A Call For Better Enforcement Of Fare Evasion Policies And Strategic Planning At Bart, Ethan S. Tan

Creative Activity and Research Day - CARD

The Bay Area Rapid Transit (BART) system has undoubtedly shaped the way the San Francisco Bay Area operates today. BART has molded itself to becoming a popular form of transportation for citizens of the area. However, numerous problems have arisen in recent years in regard to the overall “healthiness” of the BART system with its ex-aging fleet of trains, undertrained staff, lack of BART Police presence, rampant illegal drug use, etc. which has made BART unpopular with riders. The root cause of these problems through, is the lost revenue through “stolen” rides. At any one of BART’s 48 stations in …

Low-Income Access To Employer-Based Transit Benefits: Evidence From 10 Large Metropolitan Regions, Andrea Hamre

Journal of Transportation Demand Management Research

While national aggregate statistics suggest employer-based transit subsidies may be inaccessible to the majority of the working poor, this is the first study to investigate the subject with disaggregate data while controlling for additional factors. This study uses household travel surveys for 10 of the largest Metropolitan Planning Organizations, grouped into seven cases. In each case, the share of workers offered an employer-based transit subsidy is lowest for workers in the lowest income quintile. Binary logistic regression results for the odds of being offered an employer-based transit subsidy are presented for two cases, Washington, DC, and Denver, CO, and the …

Tls Newsletter, Spring 2019, Unf Transportation And Logistics Society

Transportation & Logistics Society Newsletter

Inside the Newsletter: Upcoming Events. Lend a Wing Pantry. Message from the President. TLS Photo Contest

Traffic Signal Consensus Control, Gerardo Lafferriere

TREC Final Reports

We introduce a model for traffic signal management based on network consensus control principles. The underlying principle in a consensus approach is that traffic signal cycles are adjusted in a distributed way so as to achieve desirable ratios of queue lengths throughout the street network. This approach tends to reduce traffic congestion due to queue saturation at any particular city block and it appears less susceptible to congestion due to unexpected traffic loads on the street grid. We developed simulation tools based on the MATLAB computing environment to analyze the use of the mathematical consensus approach to manage the signal …

A Decentralized Network Consensus Control Approach For Urban Traffic Signal Optimization, Gerardo Lafferriere

TREC Project Briefs

Automobile traffic congestion in urban areas is a worsening problem that comes with significant economic and social costs. This report offers a new approach to urban congestion management through traffic signal control.

Improving Transportation Access Through Interdisciplinary Collaboration, Noelle Fields, Courtney Cronley, Kate Hyun, Stephen Mattingly, Multiple Additional Authors

TREC Project Briefs

This study explored how engineers, planners, and social workers interact around issues of transportation and transportation equity, and identified opportunities for enhanced collaboration and training in anticipation of emerging transportation needs for environmental justice (EJ) populations. This study provided the foundation for future educational research, identify strategies for using two Android apps (Safe Activity and My Amble) developed at the University of Texas at Arlington (UTA), and identified opportunities for collaborative solutions within the state of the practice. The study assessed the current level of knowledge amongst professionals (engineers, planners, and social workers) about the training needs of the other …

Housing And Mobility Toolkit For San Mateo County, Serena Alexander, Joseph Kott, Bruce Appleyard, Mark Garrett, Shannon Mcdonald, Maaza Mekuria, Udeme J. Ndon, Anurag Pande, Eric Peterson

Mineta Transportation Institute Publications

Since the end of the Great Recession, San Mateo County has attracted new workers at a record rate without building anywhere near enough housing. This jobs-housing imbalance drives the cost of housing up and forces many moderate and lower-income employees and their families out of the County. A lack of access to quality affordable housing in the County and the entire Bay Area along with limited transportation options means that an increased number of employees drive in and out of the County every workday. The resultant congestion, gridlock, and long commutes along with other negative environmental, social, and economic impacts …

Urban Goods Movement And Local Climate Action Plans: Assessing Strategies To Reduce Greenhouse Gas Emissions From Urban Freight Transportation, Andrew R. Goetz, Serena Alexander

Mineta Transportation Institute Publications

This report examines how freight transport/goods movement has been addressed in U.S. city climate action planning. Transportation generally is a major contributor of greenhouse gas (GHG) emissions, and freight transport represents a growing component of transportation’s share. Almost all climate action plans (CAPs) address transportation generally, but we wished to focus on efforts to reduce GHG emissions from freight transport specifically. We analyzed 27 advanced local CAPs to determine the degree to which freight transport was targeted in goals and strategies to reduce GHG emissions. We found only six CAPs that included direct measures or programs to reduce freight emissions. …

Active Transportation And Health Effects Of Safe Routes To Schools (Sr2s) Projects And Planning, Christopher E. Ferrell

Mineta Transportation Institute Publications

On July 29, 2005 Congress passed the Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU), the federal government’s transportation bill, in part, designating $612 million over five years to go to a relatively new funding program: Safe Routes to School (SR2S). The legislation mandated that state departments of transportation (DOTs) receive annual funding in an amount proportional to the number of primary and middle school grade children enrolled in their states. State DOTs could then grant that money to state, local, and regional agencies, as well as non-profit organizations to fund SR2S programs.

Improving public health …

Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan

Civil & Environmental Engineering Theses & Dissertations

One of the most fundamental tasks when it comes to analyzing data using statistical methods is to understand the relationship between the explanatory variables and the outcome. Misclassification of explanatory variables is a common risk when using statistical modeling techniques. In this dissertation, we define ‘misclassification,’ as a response that is reported or recorded in the wrong category; for example, a variable is registered as a one when it should have the value zero. Misclassification can easily happen in any data; for example, in an interview setting where the respondent misunderstands the question or the interviewer checks the wrong box. …