Article
Environmental Studies
Ali Al-Ramini, Mohammad A. Takallou, Daniel P. Piatkowski, Fadi Alsaleem
Summary: This study uses readily-available crowdsourced data and machine-learning methods to evaluate the impact of signage on cycling ridership. The findings suggest that the addition or replacement of signage may have an effect on bicycle traffic.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Economics
Georgios Grigoropoulos, Axel Leonhardt, Heather Kaths, Marek Junghans, Michael M. Baier, Fritz Busch
Summary: The popularity of utilitarian bicycling is increasing in urban areas, impacting traffic flow and capacity at intersections. This study quantifies the impact of bicycle traffic on signalized intersections and proposes factors for the reduction in vehicular capacity. Empirical studies and traffic simulation models are used to assess the effects of bicycle infrastructure on traffic efficiency.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Environmental Studies
Lindsey Conrow, Sian Mooney, Elizabeth A. Wentz
Summary: This study analyzes the relationship between bicycle infrastructure and single-family home values in Tempe, Arizona, finding that bicycle infrastructure density is positively correlated with home sale price. On the other hand, ridership density around home locations does not have a significant relationship with sale price. The findings suggest that bicycle-friendly design can increase property values and property tax revenue in Tempe.
Article
Green & Sustainable Science & Technology
Margareth Gutierrez, Victor Cantillo, Julian Arellana, Juan de Dios Ortuzar
Summary: People's perception of safety and convenience plays a crucial role in choosing the bicycle as a mode of transportation. In Barranquilla, only 2% of daily trips are made by bicycle, mainly due to concerns over potential accidents or theft, rather than the potential economic savings and health benefits. To encourage cycling, investments in facilities such as bike parking, showers on campus, and planting trees for shade on bike paths and sidewalks could be effective.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Mathematics
Amol Aggarwal
Summary: This paper analyzes the large genus asymptotics for intersection numbers between psi-classes on the moduli space of stable curves through a combinatorial analysis of the recursive relations and comparison with jump probabilities of a certain random walk. The results provide large genus limits for Masur-Veech volumes and area Siegel-Veech constants associated with principal strata in the moduli space of quadratic differentials, confirming predictions from 2019.
INVENTIONES MATHEMATICAE
(2021)
Article
Engineering, Civil
Aikaterini Deliali, Nicholas Fournier, Eleni Christofa, Michael Knodler
Summary: Bicycle treatments, such as protected bike lanes and sharrows, improve bicycle safety and mobility on road segments. However, the presence of these treatments at signalized intersections can lead to higher crash frequencies. The study provides insights for practitioners in selecting appropriate bicycle treatments for road segments and identifying intersections in need of safety improvements.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Economics
Marcus Skyum Myhrmann, Stefan Eriksen Mabit
Summary: Cycling can reduce greenhouse gas emissions and air pollution, and improve public health. Policymakers strive to increase the proportion of cycling, and one of the efforts is to improve cycling safety. However, accurate bicycle flow data is crucial for meaningful safety analysis, which is often sparse or only available at an aggregate level. This paper demonstrates how machine learning can provide detailed bicycle flow predictions, which can significantly improve the accuracy of bicycle traffic estimates and enhance safety analysis and other performance measures.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Civil
Lucas Tito Pereira Sobreira, Bruce Hellinga
Summary: In this paper, existing direct demand (DD) models were evaluated and the spatial transferability of these models for estimating annual average daily pedestrian traffic (AADPT) at signalized intersections was assessed. Six DD models from jurisdictions with varying characteristics were selected and applied to three different jurisdictions. The results showed significant differences in model performance across jurisdictions, with five models performing well for similar suburban Canadian and U.S. jurisdictions. However, the accuracy of the models was poor for jurisdictions with extremely low and high pedestrian volumes.
TRANSPORTATION RESEARCH RECORD
(2023)
Review
Transportation
Debjit Bhowmick, Meead Saberi, Mark Stevenson, Jason Thompson, Meghan Winters, Trisalyn Nelson, Simone Zarpelon Leao, Sachith Seneviratne, Christopher Pettit, Hai L. Vu, Kerry Nice, Ben Beck
Summary: Estimation of bicycling volumes plays a crucial role in transportation planning and policy implementation, but there is limited literature on link-level volume estimation methods due to sparse bicycle data. This paper conducts a scoping review to identify existing methods and provides interesting findings and recommendations for future research.
Article
Green & Sustainable Science & Technology
De Zhao, Ghim Ping Ong, Wei Wang, Wei Zhou
Summary: This study estimated daily trip characteristics of public bicycles using points of interest and smart card data from Nanjing, China, including trip generation, attraction, distribution, and duration. The results showed that factors in the built environment have significant effects on public bicycle usage, with certain points of interest like residence, employment, entertainment, and metro stations having positive impacts while others like shopping and parks having negative impacts. Increased trip distance led to decreased origin-destination trips and increased trip duration, while more nearby stations were associated with a reduction in OD trips.
Article
Engineering, Industrial
Pablo-Ramses Alonso-Martin, Ignacio Montes, Enrique Miranda
Summary: Human Reliability Analysis aims to address the hazardous consequences caused by human factors. We propose an alternative based on distortion models to quantify the influence of human factors and provide robust estimations.
Article
Engineering, Civil
Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo
Summary: We propose a probabilistic model of pedestrian behavior that estimates population at each road using observed populations and routes. The model incorporates pedestrian dependence on road congestion and derives transition probabilities between roads using a Gaussian distribution. Parameters are estimated through gradient-based optimization methods, and experiments show accurate estimation of road populations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Joseph Broach, Sirisha Kothuri, Md Mintu Miah, Nathan McNeil, Kate Hyun, Stephen Mattingly, Krista Nordback, Frank Proulx
Summary: This study integrated and evaluated various user data sources with traditional demand determinants to estimate annual average daily bicycle traffic. The findings showed that combining different data sources improved the model's performance, particularly for sites with lower volumes. City-specific models exhibited better fit and prediction performance, and the transfer of model specifications without re-estimating the parameters resulted in increased error rates. It was concluded that old small data sources are important for big data sources like Strava and StreetLight to achieve their potential for predicting bicycle traffic.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Physics, Multidisciplinary
David Alaminos, Fernando Aguilar-Vijande, Jose Ramon Sanchez-Serrano
Summary: The study estimates currency crises using neural network methods, finding that Quantum-Inspired Neural Network and Deep Neural Decision Trees are the most accurate, with around 90% accuracy. These results are of great importance in predicting speculative pressures on currencies facing price crises in the markets.
Article
Engineering, Electrical & Electronic
Taoyong Li, Nele Noels, Kamil Yavuz Kapusuz, Sam Lemey, Hendrik Rogier, Heidi Steendam
Summary: This paper investigates the design of efficient algorithms for adaptive orthogonal pilot allocation in uplink MIMO-OFDM communication systems. By optimizing the number and positions of pilot subcarriers, unnecessary overhead is reduced, and system performance is improved.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Civil
Robert J. Schneider, Lingqian Hu, Joseph Stefanich
Article
Engineering, Civil
Farah J. Al-Mahameed, Xiao Qin, Robert J. Schneider, Mohammad Razaur Rahman Shaon
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Julia B. Griswold, Aditya Medury, Robert J. Schneider, Dave Amos, Ang Li, Offer Grembek
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Aditya Medury, Julia B. Griswold, Louis Huang, Offer Grembek
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Robert J. Schneider
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Engineering, Civil
Robert J. Schneider, Andrew Schmitz, Xiao Qin
Summary: This study developed pedestrian intersection crossing volume models for the seven-county Milwaukee metropolitan region and used negative binomial regression to analyze factors associated with annual pedestrian volumes. The models have fair accuracy and can be used to estimate pedestrian crossing totals on state highways and major thoroughfares.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Engineering, Civil
Robert J. Schneider, Andrew Schmitz, Greg Lindsey, Xiao Qin
Summary: The study used data from 197 crossings and found that pedestrians and cyclists are at risk of encountering vehicle traffic at trail crossings, identifying factors such as traffic volume, roadway motor vehicle volume, three-way intersections, and total crossing length that are significantly associated with trail crossing crashes.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Environmental Studies
Rebecca L. Sanders, Robert J. Schneider
Summary: This study analyzed six years of pedestrian fatality data in the US and found notable differences in fatal crash patterns between different races, with Black, Native American, Hispanic, and Asian pedestrians being more likely to be killed in certain circumstances.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Rebecca L. Sanders, Robert J. Schneider, Frank R. Proulx
Summary: This paper examines the correlation between severe pedestrian injuries in darkness and variables related to roadway design, operations, alcohol usage, and sociodemographic characteristics. The findings indicate that roadway design and operations play a significant role in the likelihood of pedestrian fatalities or serious injuries occurring in darkness. Alcohol usage and sociodemographic characteristics are also positively associated with severe injuries in darkness.
Article
Regional & Urban Planning
Carolyn McAndrews, Robert J. Schneider, Yicong Yang, Genevieve Kohn, Andrew Schmitz, Forrest Elliott, Jessica Pittner, Hans Purisch
Summary: Research shows that Complete Streets can serve as an implementation system to advance gender equity by implementing gender-specific tools and data, addressing social environments and infrastructure, and establishing a gender-inclusive agenda to reform transportation policy.
JOURNAL OF PLANNING LITERATURE
(2022)
Article
Transportation
Hayley Wiers, Robert J. Schneider
Summary: This study reveals a strong correlation between parking and anger among University of Wisconsin-Milwaukee (UWM) campus users, particularly among those with lower household incomes, bus pass holders, and residents outside of the immediate UWM neighborhood. The study also summarizes qualitative themes from angry comments, including frustrations about parking price, supply, and duration, as well as questioning the motivations for university parking policies and a sense of entitlement among campus users. These findings are important for understanding the complex relationship between parking and anger and informing future policies.
JOURNAL OF TRANSPORT AND LAND USE
(2022)
Article
Transportation
Robert J. Schneider, Rebecca L. Sanders, Frank R. Proulx, Hamideh Moayyed
Summary: Pedestrian fatalities in the US have reached a nearly three-decade high and account for an increasing share of total traffic fatalities. The study identified characteristics of hot spot corridors where fatal pedestrian crashes occurred frequently, such as multilane roadways with high speed limits, high traffic volumes, commercial land use, and low-income neighborhoods. These corridors have the potential to produce high numbers of pedestrian fatalities and may require different safety strategies based on their classification.
JOURNAL OF TRANSPORT AND LAND USE
(2021)
Article
Urban Studies
Kristina M. Currans, Gabriella Abou-Zeid, Kelly J. Clifton, Amanda Howell, Robert Schneider
Article
Psychology, Applied
Robert J. Schneider, Josie L. Willman
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2019)