Article
Computer Science, Artificial Intelligence
Wenlong Zhu, Junting Zhang, Shunqiang Ye, Wanli Xiang
Summary: This paper investigates Braess Paradox under the bi-objective user equilibrium, introducing the definition and occurrence conditions of the paradox. Analytical properties of the bi-objective user equilibrium solutions and the conditions for the occurrence of Braess Paradox are explored on a classical Braess network. The study proves that the occurrence conditions of Braess Paradox are dependent upon link performance parameters and travel demand.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Stefan Bittihn, Andreas Schadschneider
Summary: The study investigates whether drivers can change the classic Braess' paradox situation through traffic information available in modern traffic networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Yihan Shi, Jie Xu, Hui Zhang, Limin Jia, Yong Qin
Summary: This paper investigates the correlation between junction width and walking efficiency of passengers in subway stations. The study shows that optimizing junction width can improve walking efficiency for passengers under certain conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, Pei Xu
Summary: This research aims to detect the effects of closing and expanding paradox links in transportation and find effective measures to avoid Braess Paradox. The results show that higher capacity worsens Braess Paradox for monotonic links, even if the link capacity is increased infinitely. However, for non-monotonic links, adjusting the link capacity can avoid Braess Paradox. Expanding road infrastructure does not necessarily lead to a significant improvement in travel efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Environmental Sciences
Shengquan He, Feng Shen, Longzhe Jin, Dazhao Song, Xueqiu He, Majid Khan
Summary: This study investigated the levels of particulate matter (PM) and its potential health risks in the platforms and carriages of different subway systems in Beijing. The results showed that the PM concentration in the subway systems exceeded both the Chinese and WHO standards. The ability to prevent dust from entering the platforms varied between different systems. Additionally, the study found that the PM concentration was higher near the entrance of the station. These findings provide important guidance for improving subway environmental control systems, setting up passenger flow command centers, and reducing health risks for subway passengers.
ATMOSPHERIC POLLUTION RESEARCH
(2022)
Article
Engineering, Industrial
Xi Zhang, Haicheng Tu, Jianbo Guo, Shicong Ma, Zhen Li, Yongxiang Xia, Chi Kong Tse
Summary: This paper studies how to enhance power grid resilience and achieve quick recovery after extreme events by adjusting the operating modes of the grid and reconfiguring its components. A double-loop optimization strategy is proposed, utilizing an interior point method and a genetic algorithm to find the optimal topology for coordinating available resources most effectively.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Physics, Multidisciplinary
Hui Zhang, Jie Xu, Limin Jia, Yihan Shi
Summary: The study divided the walking process of passengers around a corner into five phases and proposed an advanced social force model to simulate passengers' turning behavior. Results showed that when the angle of the corner is less than 120 degrees, the walking speed decreases significantly, affecting walking efficiency. Guiding passengers to walk in an orderly manner can improve throughput efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Engineering, Industrial
Muhammad Hasan Ashraf, Yuwen Chen, Mehmet G. Yalcin
Summary: Third-party logistics in the U.S. has been declared essential and continues operations amid the pandemic. Demand for e-commerce deliveries has increased due to lockdowns and public preference. Expanding hub capacities may lead to the Braess Paradox. Different layouts are impacted differently, and the study provides insights for improving hub performances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Green & Sustainable Science & Technology
Heng Wang, Tiandong Xu, Feng Li
Summary: By considering the OCEAN personality traits, this research established an evacuation model which showed that different personality traits have varying effects on evacuation behaviors, thus enriching the pedestrian evacuation model further.
Article
Engineering, Civil
Xia Zhao, Pengpeng Jiao, Yong Zhang, Chenjing Zhou
Summary: This study proposes a framework to uncover the dependency variety of subway passengers on station functions. Results show that most passengers have a strong dependency on the subway, but there are also some passengers with low dependency, displaying extreme travel patterns and increasing management difficulties for transit operators.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Engineering, Multidisciplinary
Xiaoxia Yang, Yi Yang, Yongxing Li, Xiaoli Yang
Summary: Reasonable guide settings can directly improve the evacuation capacity in subway stations, with guide assignment schemes and evacuation path planning playing an important role. The use of Gaussian mixture model and cost function method for guide allocation, as well as the implementation of a multi-objective optimization model with NSGA-II method, has been shown to significantly enhance the efficiency of evacuation in subway stations.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Automation & Control Systems
Julian Barreiro-Gomez
Summary: This study examines the crowd evacuation problem using a stochastic receding-horizon differential game. Two main directions are studied: considering local congestion terms to avoid congestion formation, and considering both local and global congestion terms for crowd aversion during evacuation. The solution to these problems is presented using semi-explicit methods by solving the corresponding Hamilton-Jacobi-Bellman backward Partial Differential Equation (PDE). The study also discusses the evacuation Braess paradox and provides a concrete example. Numerical examples are presented for a case study with multiple rooms and exits, comparing the results of the two stochastic differential-game approaches.
Article
Automation & Control Systems
Mark Jeeninga
Summary: This paper investigates the feasibility of power flow in DC power grids with constant-power loads. The concept of Braess' paradox is introduced and its occurrence in practical power grids is demonstrated. To address this paradox, bounded parametric uncertainties in power lines are considered, and a simple yet conservative condition is provided to ensure feasible power flow under these uncertainties.
SYSTEMS & CONTROL LETTERS
(2022)
Article
Engineering, Civil
Junwei Zhang, Wei Wu, Qixiu Cheng, Weiping Tong, Anish Khadka, Xiao Fu, Ziyuan Gu
Summary: This paper uses mobile phone signaling data to analyze subway passengers' travel behavior and extract their complete travel trajectories, both inside and outside the subway system. The proposed algorithms can effectively obtain the complete trajectories of subway passengers.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Engineering, Industrial
Liang Yu, Zijia Wang, Feng Chen, Yufeng Li, Weitong Wang
Summary: This study developed a virtual reality environment of a subway station to examine differences in the development of spatial knowledge and the use of signage under normal and pressure conditions. The wayfinding performance and eye-tracking data of 48 participants were recorded and analyzed. The results showed that spatial knowledge was less grasped under pressure and first-time participants relied more on signage, although this effect was not significant at landmarks. The study provides insights into wayfinding and signage use differences and offers recommendations for signage design and emergency capacity promotion.
Article
Engineering, Civil
Jaime Soza-Parra, Sebastian Raveau, Juan Carlos Munoz
Summary: This study analyzed the travel time reliability in a public transport system using passive data, finding significant differences in headway variability among different public transport modes. It was also discovered that average bus users would accept traveling 5 minutes longer to completely avoid headway irregularity.
Article
Economics
Jaime Soza-Parra, Sebastian Raveau, Juan Carlos Munoz
Summary: This article explores the impact of reliability on travelers' public transport alternative choices, finding that headway irregularity significantly affects passengers' decisions. This confirms the importance of considering this attribute in public transport models when evaluating projects to improve system reliability.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Economics
Hemant Suman, Homero Larrain, Juan Carlos Munoz
Summary: The study aims to measure the error induced by simplification and understand how it misrepresents passenger flows and bus occupation rates. By optimizing a set of test scenarios using a naive approach and obtaining benchmark passenger assignment, the comparison reveals potential unrealistic aspects of the naive approach in network design. This highlights the importance of verifying the results with a passenger assignment model before implementation.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Transportation Science & Technology
Homero Larrain, Hemant K. Suman, Juan Carlos Munoz
Summary: This work introduces a new route-based equilibrium assignment formulation and algorithm for congested transit networks, overcoming three key challenges in the process.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Review
Transportation
Alejandro Tirachini, Javiera Godachevich, Oded Cats, Juan Carlos Munoz, Jaime Soza-Parra
Summary: This paper reviews the most relevant issues related to headway variability in public transport planning, operations and quality of service, discussing causes, consequences, and control measures. The key factors influencing headway variability along a route are identified, highlighting the gap between research and practice in addressing this issue. Future research needs to focus on organizational, contractual, and technological barriers to mitigating headway variability in public transport services.
Article
Economics
Angel Cantillo, Sebastian Raveau, Juan Carlos Munoz
Summary: This research aims to analyze the characteristics and influencing factors of fare evasion in Transantiago, the public transport system of Santiago, Chile. By collecting extensive data and using regression models, the study found that fare evasion is more common among young men, during evening and night periods, in low-income neighborhoods, and areas with inadequate facilities. Potential solutions to tackle fare evasion were proposed based on the research findings.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Geography
Mischa Young, Jaime Soza-Parra, Giovanni Circella
Summary: The COVID-19 pandemic and lockdown measures have caused a significant increase in e-shopping. Research shows that the number of respondents who shop online at least once per week has nearly quintupled during the pandemic. Using ordered logit models, the study investigates the factors contributing to this rise and discusses the implications for equity and urban restructuring.
REGIONAL SCIENCE POLICY AND PRACTICE
(2022)
Article
Economics
Francisco Garrido-Valenzuela, Diego Cruz, Marina Dragicevic, Alejandro Schmidt, Jaime Moya, Sebastian Tamblay, Juan C. Herrera, Juan C. Munoz
Summary: Congestion in surface public transport systems affects travel time, service regularity, and system costs. By analyzing operational data and optimizing traffic signals, delays can be reduced and operating speeds increased. This study extended a tool to identify bottlenecks using GPS data and proposed a methodology to prioritize traffic signal adjustments, resulting in significant reductions in bus delays in Santiago de Chile.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Transportation
Jaime Soza-Parra, Rafal Kucharski, Oded Cats
Summary: This study aims to investigate the impact of different spatial patterns of travel demand on the effectiveness of ride-pooling services. By generating synthetic demand patterns and applying a ride-pooling algorithm, the study finds that ride-pooling can significantly reduce vehicle usage time, with the reduction ranging from 18% to 59% depending on trip length and destination distribution. The study suggests that longer trips and more concentrated destinations lead to better ride-pooling efficiency, while the shift from monocentric to polycentric demand patterns has limited impact on ride-pooling prospects.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Review
Transportation
Jaime Soza-Parra, Oded Cats
Summary: Car dependency leads to various societal problems and challenges, particularly environmental ones. Therefore, it is crucial to understand the subjective factors that contribute to car ownership and usage. Through a systematic review of literature, we identify and describe five relevant subjective factors and develop a car ownership/use motives model. Implications for public policy and future research directions are discussed.
Article
Transportation
Jaime Soza-Parra, Ignacio Tiznado-Aitken, Juan Carlos Munoz
Summary: Researchers and decision-makers have proposed and adopted various approaches to improve and address issues related to public transport operation, with a particular focus on travel demand management measures. This study develops a simulation tool that utilizes smart card, GTFS, and census data to evaluate the impacts of different intervention scenarios on the operation of a public transport system, using the COVID-19 pandemic as a case study. The analysis prioritizes actions at the metropolitan and district level by examining waiting times and crowding conditions, and generates visual outputs for ease of analysis.
JOURNAL OF PUBLIC TRANSPORTATION
(2023)
Article
Transportation
Jaime Soza-Parra, Juan Carlos Munoz, Sebastian Raveau
Summary: This study explores the evolution of headway irregularity of public transport services, focusing on urban bus services and using a Dynamic Panel Model to understand the phenomenon. The dispatch at terminals is identified as the most significant source of headway irregularity, with uneven dispatches exacerbating the issue downstream. To prevent increasing headway variability, the most effective measures are segregated corridors and off-board payment stops.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2021)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
