Article
Management
Michael Redmond, Ann Melissa Campbell, Jan Fabian Ehmke
Summary: This paper presents an a priori itinerary planning method that maximizes reliability by considering travel time uncertainty and backup plans. It introduces a network search algorithm that accurately accounts for travel time uncertainty and alternative options. The method is compared to a state-of-the-art contingency research approach and shown to calculate reliability more accurately, be more intuitive to travelers, and have a faster runtime. The study also highlights differences in reliability across different times, budgets, and regions in a real-world transit network in Gottingen, Germany.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Economics
Gian-Claudia Sciara, Mashrur Rahman, Rydell Walthall
Summary: Since the early 1990s, U.S. metropolitan planning organizations (MPOs) have gained more authority in shaping regional transportation spending, with recent federal policies slightly increasing formal transit involvement in investment decisions. However, concerns remain that public transit operators and needs are underrepresented in decision-making. The study reveals disparities in transit's influence from region to region based on different forms of board representation for transit.
Article
Engineering, Civil
Julene Paul, Brian D. Taylor
Summary: The COVID-19 pandemic had a significant impact on public transit in the United States, with many people changing their travel habits. However, public transit remained important for low-income and non-white households who could not drive. Transit agencies reduced services due to decreased ridership demand, increased costs, and uncertain budgets. A study found that neighborhoods with more poor and non-white households initially experienced smaller declines in ridership, but the gap narrowed as the pandemic continued. Factors such as built environment and demographics also played a role in ridership changes.
Article
Environmental Studies
Jason Cao, Tao Tao
Summary: The number of machine learning applications for exploring the complex relationship between land use and travel behavior has increased in recent years. This paper highlights the advantages and limitations of using machine learning approaches compared to conventional statistical models and calls for further research to examine the complex relationship, particularly the threshold association between land use and travel behavior.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Transportation Science & Technology
Ping He, Jian Gang Jin, Frederik Schulte, Martin Trepanier
Summary: This paper proposes a ridesharing approach for providing reliable and convenient yet economical on-demand first-mile services for travelers heading towards intercity transportation hubs. A mixed-integer linear programming (MILP) model is developed to minimize the total operating costs for ridesharing service operators, considering factors such as large luggage, passengers' requirements on arrival time and ride time, and travel time uncertainty. Computational experiments demonstrate the effectiveness of ridesharing in reducing overall travel costs while meeting the first-mile travel demand, emphasizing the importance of considering luggage and travel time uncertainty in determining ridesharing schemes.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Javier Duran-Micco, Pieter Vansteenwegen
Summary: Appropriate public transport systems are crucial in modern cities, and the TNDFSP problem has been extensively studied in operations research. The main contribution of this work is considering link-capacity constraints and addressing crowding issues in the design of public transport lines and frequencies. A bi-objective memetic algorithm is proposed to generate solutions that comply with the constraints. The algorithm, which takes into account link-capacity constraints during optimization, produces better results compared to an approach without considering these constraints.
Article
Economics
Caio Pieroni, Mariana Giannotti, Bianca B. Alves, Renato Arbex
Summary: This study analyzed the temporal and spatial patterns of urban transit movements in precarious settlement areas in Sao Paulo, Brazil using smart card data mining. The results revealed differences in travel behavior between low-income residents from precarious settlements and middle/high-income-class residents, with a focus on identifying low-paid employment travel patterns. The empirical evidence highlights smart card data's potential in uncovering low-paid employment spatial and temporal patterns.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Green & Sustainable Science & Technology
Zhong Wang, Fengmin Lan, Zijing Lin, Lian Lian
Summary: Bus rapid transit (BRT) is characterized by higher speed, comfort level, and capacity compared to conventional bus service. This paper focuses on developing an optimization model for BRT network planning, utilizing an integer programing model to identify station locations and route layout with the objective of maximizing trips served by the network. A heuristic method is used to generate optimal solutions, with a case study in Luoyang, China showing the validity and applicability of the method for improving BRT network planning and sustainable transportation system development.
Article
Engineering, Civil
Yan Xiao, Md Sultan Ali, Evangelos Kaisar, Mohammed Hadi
Summary: Transit Signal Priority (TSP) is proposed and implemented to reduce transit travel time and improve efficiency. This research proposes enhanced guidelines for TSP deployment, taking into consideration bus delay, geometric and traffic feasibility, and impacts on other movements. The proposed guidelines produce a better-balanced solution and help reduce implementation costs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Industrial
Amir Hossein Barahimi, Alireza Eydi, Abdolah Aghaie
Summary: The research addresses the issue of increasing the link capacity in a dual-mode public transport network within urban infrastructure. By developing a mathematical model and using the PSO algorithm to solve the multi-objective bi-level model, the study was applied to a part of the urban transportation network in Tehran, Iran.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Environmental Studies
Tierra S. Bills, Richard Twumasi-Boakye, Andrea Broaddus, James Fishelson
Summary: Microtransit services have the potential to improve transportation equity by providing disadvantaged communities with a more flexible and reliable transportation option. This study explores the potential equity impacts of a microtransit service in Metropolitan Detroit and shows that it may help to reduce gaps in accessibility between disadvantaged and more advantaged traveler groups.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Madeleine E. G. Parker, Meiqing Li, Mohamed Amine Bouzaghrane, Hassan Obeid, Drake Hayes, Karen Trapenberg Frick, Daniel A. Rodriguez, Raja Sengupta, Joan Walker, Daniel G. Chatman
Summary: The COVID-19 pandemic has significantly disrupted travel behavior, particularly among transit riders in the United States. Changes in transit service and passenger volume reduction have had lasting impacts, with lower-income riders experiencing the most significant disruptions. Despite concerns about infection risks, reduced service, and shelter-in-place rules, transit riders have shown a significant decrease in their travel, indicating a shift in their behaviors during the pandemic.
Article
Transportation Science & Technology
Mohammad Hesam Hafezi, Naznin Sultana Daisy, Hugh Millward, Lei Liu
Summary: This paper introduces a new modeling framework to simulate temporal information related to travelers' daily activity schedule. By using the Random-Forest model and activity data to predict travel behavior for model individuals, the experiment shows an average accuracy of 81.62%.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Computer Science, Information Systems
Mahmoud Owais, Abdou S. Ahmed
Summary: In this study, two well-known graphical transit assignment models are comprehensively reviewed and formulated in a single mathematical notation framework for the first time, aiming to better understand their inherent differences. These considered models are deficient in their basic assumptions compared to the most used transit assignment models in TNDP, highlighting the need for renewed attention.
Article
Engineering, Civil
Tierra S. Bills
Summary: This study uses a regional activity-based travel model to analyze the equity of transportation and land-use planning scenarios in the Bay Area, California. The findings show that fine-grained distributional measures are crucial in assessing the individual and household-level impacts of regional transportation scenarios. Additionally, applying equity standards for ranking planning scenarios is significant, as different standards and evaluation criteria can affect the ranking results.
Article
Engineering, Civil
Tierra S. Bills, Elizabeth A. Sall, Joan L. Walker
TRANSPORTATION RESEARCH RECORD
(2012)
Article
Engineering, Civil
Daniel Wu, Elizabeth Sall, Stephen Newhouse
TRANSPORTATION RESEARCH RECORD
(2012)
Article
Engineering, Civil
Frank Gallivan, Elizabeth Sall, Eric Hesse, Deborah Salon, Chris Ganson
TRANSPORTATION RESEARCH RECORD
(2012)
Article
Engineering, Civil
Elizabeth M. Brisson, Elizabeth Sall, Jeffrey Ang-Olson
TRANSPORTATION RESEARCH RECORD
(2012)
Article
Engineering, Civil
Teo Wickland, Elizabeth Sall
TRANSPORTATION RESEARCH RECORD
(2014)
Article
Engineering, Civil
Neema Nassir, Jennifer Ziebarth, Elizabeth Sall, Lisa Zorn
TRANSPORTATION RESEARCH RECORD
(2014)
Article
Transportation
M. Bomberg, L. Zorn, E. Sall
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2013)
Article
Engineering, Civil
Kristen Villanueva, Lisa Zorn, David Ory, David Vautin
TRANSPORTATION RESEARCH RECORD
(2018)
Article
Engineering, Civil
Elizabeth A. Sall, Chandra R. Bhat
