Article
Green & Sustainable Science & Technology
Zhizhen Liu, Hong Chen, Enze Liu, Qi Zhang
Summary: This study aims to establish a dynamic resilience evaluation method and explore the resilience evolution process for multi-mode public transit. The research found that the network's resilience performance was the worst when the subway station was destroyed. By adjusting the capacity control parameters, transport efficiency can be improved.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Hardware & Architecture
Mirna Magdy, Mohamed Grida, Gawaher Hussein
Summary: This paper proposes using public blockchain to solve the bullwhip effect problem in the supply chain and develops a framework to evaluate the readiness of the supply chain for blockchain adoption. The results show that while supply chain executives recognize the benefits of adopting blockchain, they are still unsure about the timing and readiness of the technology for their supply chains.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Transportation Science & Technology
Yu Jiang, Avishai (Avi) Ceder
Summary: This study proposes a novel stochastic transit assignment model that predicts passenger ridership, incorporating personalization and bounded rationality. Numerical studies show that personalized path recommendation can stabilize differences in path choice probability, and the method of successive averages (MSA) works well in finding an approximated fixed point.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Mechanical
Huiqing Xie
Summary: This paper proposes a solution to the partial quadratic eigenvalue assignment problem using a receptance method, which simultaneously minimizes the norms of feedback matrices and the condition number of the closed-loop system. The method only requires receptance matrices and the unwanted eigenpairs of the open-loop system, without needing system matrices and unchanged eigenpairs. Numerical examples illustrate the efficiency of the proposed method.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Civil
Guido Bregoli, George Vasdravellis, Theodore L. Karavasilis, Demetrios M. Cotsovos
Summary: The paper introduces novel structural details for mitigating progressive collapse in steel structures, validated through static and dynamic tests, and proposes an analytical method for evaluation. Results demonstrate that the proposed structural details can enhance tie force capacity and rotational capacity of steel joints, applicable to both new designs and retrofitting existing structures.
ENGINEERING STRUCTURES
(2021)
Article
Multidisciplinary Sciences
Huanwan Chen, Guopeng Chen, Qingnian Zhang, Xiuxia Zhang
Summary: The global COVID-19 epidemic, home quarantine, and blockade of infected areas are crucial measures to prevent the spread of the epidemic, but they have disrupted the fresh and cold chain agricultural products in the region. Using a complex network theory, we constructed an evolutionary model for the Chinese fresh cold chain network based on the multi-layer management model of non-scale agricultural households in China. This model considers various factors such as adaptation degree priority connection, dual local world considering transport distance connection relationship, and superiority and inferiority mechanism. Based on this model, we studied the evolution of fresh cold chain disruption and proposed an optimal design for the disruption and reconnection of the fresh cold chain network from practicality and economy perspectives.
Article
Green & Sustainable Science & Technology
Mateusz Szarata, Piotr Olszewski, Leslaw Bichajlo
Summary: This study presents the methodology and calibration process for dynamic bus lane (DBL) modeling, comparing it to standard exclusive bus lane (XBL) in four selected sites in Rzeszow, Poland. Results show that DBL can provide similar benefits to public transport with only a slight increase in private travel times compared to XBL, making it a promising option for improving transport efficiency.
Article
Green & Sustainable Science & Technology
Qing Zhang, Weiguo Fan, Jianchang Lu, Siqian Wu, Xuechao Wang
Summary: Due to the globalization of supply and production, supply chain management has strengthened the connection between upstream and downstream enterprises. However, the complex relationship between nodes makes the supply chain system more vulnerable, and interruption at any location can cause irreparable damage. Quantitative analysis of interruption events in different locations is essential for formulating effective mitigation strategies to achieve the recovery of node enterprises.
Article
Transportation
Soumela Peftitsi, Erik Jenelius, Oded Cats
Summary: With the growth of travel demand in cities worldwide, overcrowding in public transport has become a major issue. Different measures ranging from investments to real-time operational measures have been proposed to address congestion. This study focuses on evaluating the impact of these measures by considering the distribution of passengers among train cars, finding that it can significantly affect user costs.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2021)
Article
Transportation
Yi Shen, Gang Ren, Bin Ran
Summary: This paper analyzes the metro cascading failure induced by load fluctuation and presents a robust station capacity assignment method. By studying the actual case of Nanjing metro, it is found that small station tolerance and larger load fluctuation can easily lead to global network failure. The coupling effects of station capacity, station tolerance, and load fluctuation strength on network robustness are investigated to obtain optimal model parameters for robust station capacity assignment.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Abdulrahman Al Ayidh, Yusuf Sambo, Muhammad Ali Imran
Summary: This paper proposes two novel schemes for pilot assignment and pilot power control design based on the matching technique to maximize the spectral efficiency in the uplink of cell-free massive MIMO systems. Genetic algorithm and Hungarian matching algorithm are utilized to optimize the pilot assignment problem, while a minimum-weighted assignment problem and the Hungarian algorithm are used for power control design. Simulation results show a 15% improvement in spectral efficiency compared to state-of-the-art techniques.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Multidisciplinary
Kun Jin, Wei Wang, Xinran Li, Xuedong Hua, Shaoyang Qin
Summary: A highly robust urban public transportation network is crucial for the stable and sustainable development of a city. This paper presents a robustness analysis framework for public transportation systems, using a large-scale bus-rail hybrid network in Nanjing as a case study. The results demonstrate the significant impact of initial station capacities on cascading failures.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Economics
Md Tabish Haque, Faiz Hamid
Summary: The unprecedented spread of SARS-CoV-2 has had severe impacts on economies and societies. This paper discusses the significance of seat inventory management in long-distance passenger trains for controlling virus transmission and economic operations. A novel seat assignment policy is proposed and tested using real-life data, showing effective control of virus diffusion and improved revenue even under 100% capacity utilization.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Management
Elad Michael, Tony A. Wood, Chris Manzie, Iman Shames
Summary: In assignment problems, decision makers are interested in both the optimal assignment and the sensitivity of the optimal assignment to perturbations in the assignment weights. A novel extension of traditional sensitivity analysis is presented in the article, allowing for simultaneous variations in all assignment weights. Two methods of quantifying the sensitivity of the optimal assignment for the bottleneck assignment problem are provided, along with algorithms and numerical examples.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Nuclear Science & Technology
Jiali Liang, Marc Ernoult, Xavier Doligez, Sylvain David, Sandra Bouneau, Nicolas Thiolliere, Guillaume Krivtchik, Fanny Courtin, Weifeng Zhou, Stephanie Tillement
Summary: The future of nuclear power depends on interests and decisions, a new methodology of robustness analysis has been developed for fuel cycle strategies. The status of plutonium is contradictory in different scenarios, two methods of identifying robust strategies were tested, one is static and the other is adaptive. The comparison of two approaches shows the temporality of adaptation relative to immediate actions under uncertain disruption.
ANNALS OF NUCLEAR ENERGY
(2021)
Article
Engineering, Civil
Jonas Hatzenbuhler, Oded Cats, Erik Jenelius
Summary: The study compares potential changes in network design and frequency settings when autonomous vehicle systems are deployed on fixed-route networks to conventional public transport systems using a multi-objective optimization and multi-agent simulation framework. Results show that the deployment of autonomous buses leads to a network design that increases service ridership, likely substituting walking. The study provides insights into the implications for network design and level of service brought about by integrating autonomous buses into route-based public transport systems.
Article
Engineering, Civil
Erik Jenelius
Summary: This paper proposes a linear mixed model to analyze the variability of route speed distributions. By separating the variability between travellers and the variability within travellers, the paper draws conclusions on the intratraveller variability. The study finds that intratraveller variability is higher in the commute direction and on routes with high congestion levels.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Engineering, Civil
Haoye Chen, Jonas Hatzenbuhler, Erik Jenelius
Summary: This study introduces a variant of the pick-up and delivery problem with features like multiple depots, partial recharging strategies, and fleet sizing, considering both multi-purpose vehicles (MV) and single-purpose vehicles (SV). By developing an adaptive large neighborhood search (ALNS) algorithm with problem-specific heuristics, the efficiency of urban transportation is improved, as shown by time-efficient and robust high-quality solutions in testing. The study compares results for pure SV, pure MV, and mixed fleets, demonstrating that the introduction of MVs can lead to smaller fleet sizes while maintaining similar total travel distances as pure SVs.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Transportation Science & Technology
Erik Almlof, Xiaoyun Zhao, Anna Pernestal, Erik Jenelius, Mikael Nybacka
Summary: This paper provides an overview of previous frameworks used to study the societal impacts of automated driving (AD) technology, highlighting their strengths and limitations. It introduces the Total Impact Assessment (TIA) framework developed by the Swedish Transport Administration and applies it to evaluate three scenarios for AD bus services in Stockholm. The study concludes that existing frameworks cover different aspects of AD technology, but areas such as cybersecurity and biodiversity are often neglected. Additionally, most frameworks assume homogeneous effects, disregarding potential variations in factors like perceived security. While the TIA framework does not encompass all societal aspects of AD technology, it offers valuable insights into the diverse impacts experienced by different actors.
TRANSPORTATION PLANNING AND TECHNOLOGY
(2022)
Article
Economics
Erik Almlof, Mikael Nybacka, Anna Pernestal, Erik Jenelius
Summary: Self-driving technology may have diverse societal impacts on the transportation system. The impacts vary depending on geography and time, with a larger increase in non-commuting trips and limited impact on public transport ridership. Policies that are sensitive to geography and time are needed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Economics
Soumela Peftitsi, Erik Jenelius, Oded Cats
Summary: Overcrowding is a major challenge for public transport systems, affecting passengers' travel experience. Providing real-time crowding information about individual train cars can help passengers make informed decisions to avoid crowded cars, leading to a more even distribution of passengers inside trains. This improvement in travel experience increases with demand levels but reaches a saturation point.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Computer Science, Artificial Intelligence
Qi Zhang, Zhenliang Ma, Pengfei Zhang, Erik Jenelius, Xiaolei Ma, Yuanqiao Wen
Summary: Understanding human mobility in urban areas is crucial for transportation planning, operations, and online control. This paper introduces the concept of user-station attention to understand user interest and dependency on specific stations, which is valuable for individual mobility prediction and location recommendation. However, estimating the real user-station attention is challenging due to unsupervised learning characteristics and untrustworthy observation data.
APPLIED INTELLIGENCE
(2023)
Article
Transportation
Matej Cebecauer, Erik Jenelius, David Gundlegard, Wilco Burghout
Summary: Recognition of spatio-temporal traffic patterns is crucial for intelligent transport systems (ITS). Common practice relies on unsupervised machine learning methods for clustering, but they have limitations in evaluating the quality of clustering. This paper compares internal and external validation methods using short-term prediction, finding that internal evaluation tends to underestimate the number of representative day-types needed. The paper also explores the use of dimensionality reduction in clustering, achieving similar performance with lower computational costs.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Economics
Joanne Yuh-Jye Lin, Erik Jenelius, Matej Cebecauer, Isak Rubensson, Cynthia Chen
Summary: This paper explores the distribution and equity of crowding exposure in public transport across socioeconomic groups. It presents a framework for assessing equity based on automatic data sources and proposes two metrics to quantify crowding exposure. The results show that crowding exposure varies across the service area, with wealthier and higher educated individuals from rental housing or lower vehicle ownership areas being more exposed. The paper provides tools to support public transport planners in reducing crowding exposure and achieving urban equity and sustainability.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Review
Transportation
Hugo Badia, Erik Jenelius
Summary: Recently, a new shared micromobility service, supplied by electric scooters, has gained popularity in cities. This unregulated proliferation by the private sector has raised research questions about its implications. This paper reviews existing literature and evaluation reports to provide insights about mobility, consumer perception, and environmental issues related to shared e-scooter services. The findings highlight the need for a better understanding of usage patterns, integration with the transport system, and the development of appropriate policies and designs for sustainable services.
Article
Economics
Jonas Hatzenbuhler, Erik Jenelius, Gyozo Gidofalvi, Oded Cats
Summary: This study explores the potential of modular vehicle concepts and consolidation to enhance the efficiency of urban freight and passenger transport. Modularity is achieved by connecting multiple vehicles to form a platoon, while consolidation integrates passenger and freight demand in the routing problem. A novel modular multi-purpose pickup and delivery problem (MMP-PDP) model is proposed and solved using CPLEX and Adaptive Large Neighborhood Search (ALNS), demonstrating significant cost savings and reduced trip duration.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Civil
Yu Sun, Erik Jenelius, Wilco Burghout, Binglei Xie
Summary: This study explores the impact of lane control strategies on road capacity in mixed AV/HV traffic flow. It investigates the significance and sensitivity of different strategies under varying AV rates and demands. The results show that lane strategies can improve traffic capacity, especially under high demand and at low to medium AV rates.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Economics
Lukas Kolkowski, Oded Cats, Malvika Dixit, Trivik Verma, Erik Jenelius, Matej Cebecauer, Isak Jarlebring Rubensson
Summary: While static data about residential areas is commonly used to assess social segregation, this study uses public transport smart card data to measure activity-based social segregation between different groups. The study applies the ordinal information theory index to quantify income group mix at public transport journey destination zones in Stockholm County, Sweden. The analysis shows significant differences in segregation between income groups along radial public transport corridors following the opening of a major rail project in 2017. There is a slight decrease in segregation over the years, particularly in the city center, but an increase in suburban and rural zones with commuter train stations.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Transportation
Soumela Peftitsi, Erik Jenelius, Oded Cats
Summary: Increasing the operating speed in public transport systems can improve system capacity, reduce passenger travel time, and enhance comfort. This paper investigates the effectiveness of skip-stop operation and identifies the most suitable stopping scheme for a given line. The study shows that a simple decision rule may not reliably determine a beneficial skip-stop scheme.
JOURNAL OF PUBLIC TRANSPORTATION
(2023)
Article
Computer Science, Artificial Intelligence
W. E. ZHANG, E. R. I. K. JENELIUS, H. U. G. O. BADIA
Summary: The paper investigates the efficiency of using connected semi-autonomous bus platoons to serve high demand transit corridors in both bus and BRT services. The problem is formulated as a constrained optimization problem to minimize total system cost. The results show that semi-autonomous platooning is competitive and can reduce user costs and operating costs in high-demand scenarios.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
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)
