Editorial Material
Immunology
Barsha Dash, Patrick G. G. Hogan
Summary: The first thorough examination of CD8(+) tumor-infiltrating T cell differentiation within hours of entering a tumor has revealed an unexpected discovery. Naive T cells deviate from their expected effector fate and begin the process of exhaustion much earlier than anticipated.
Article
Engineering, Multidisciplinary
Ozge Canli Usta, Serkan Gunel
Summary: This paper presents a method for reconstructing unidirectional chaotic synchronized networks based on average integrated causation entropy. By injecting random information into the individual systems and predicting the network structure during the process of re-synchronization, the algorithm successfully reconstructs the structure of chaotic dynamical systems.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Business, Finance
Chang Xu, Jianguang Hu
Summary: “This paper explores the significant impact of the Belt and Road Initiative on financial reporting quality. The study finds that the B&R Initiative can enhance financial reporting quality, and this effect is achieved by alleviating financial constraints and the masking effect of media coverage. Heterogeneity analysis reveals that the effects of the B&R Initiative on financial reporting quality are mainly observed in key industries involved in the Initiative and in companies with lower capital intensity.”
FINANCE RESEARCH LETTERS
(2023)
Article
Public, Environmental & Occupational Health
Yide Sun, Jiajun Yu, Ya-Ling Chiu, Yuan-Teng Hsu
Summary: This study explores the impact of internet information on health decision-making. The findings suggest that individuals who find doctors through online sources tend to have lower patient satisfaction. The study also reveals that doctor popularity and patient involvement have moderating effects on the relationship between online information sources and patient satisfaction.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Management
Sanjay Banerjee
Summary: Competition among analysts for forecast accuracy can have varying effects on forecast informativeness. If prior uncertainty of the economic state is high and analysts' private signals are positively correlated, competition may impair informativeness. The intensity of competition and the number of competing analysts are important factors influencing the informativeness of forecasts.
MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Jiayi Huang, Pritam Majumder, Sungkeun Kim, Troy Fulton, Ramprakash Reddy Puli, Ki Hwan Yum, Eun Jung Kim
Summary: The article introduces Active-Routing, a near-data processing architecture that utilizes memory and network concurrency optimizations to improve system performance and energy efficiency.
IEEE TRANSACTIONS ON COMPUTERS
(2021)
Article
Transportation Science & Technology
Fatima Afifah, Zhaomiao Guo, Mohamed Abdel-Aty
Summary: This study investigates the potential of connected and automated vehicles (CAVs) and infrastructure-to-vehicle (I2V) communication to improve traffic safety and mobility at both intersection and road segment levels. The impact of en-route locational information updates on system-level safety and mobility is studied using a two-stage stochastic traffic equilibrium model. Real traffic and accident data from the Orlando transportation network are used to test the proposed methodology. Different I2V information sharing strategies are analyzed to gain insights on the optimal design of traffic information sharing systems.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Computer Science, Information Systems
Han Zheng, Xiaoyu Chen, Shaohai Jiang, Luming Sun
Summary: Cyberchondria refers to excessive online searches for medical information, often accompanied by emotional distress or anxiety. This study proposes a theoretical framework to explain why cyberchondria develops when seeking medical information from different online sources. Findings from a panel survey suggest that using online search engines for health information increases online information overload, while seeking health information from social media platforms and health-specific websites increases online information trust. Both online information overload and online information trust are related to the development of cyberchondria.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Economics
Vahid Akbari, Davood Shiri, F. Sibel Salman
Summary: This article studies post-disaster road restoration problem, analyzing the performance of online algorithms against offline optimal solutions using competitive ratio. An optimal online algorithm is proposed, utilizing mixed integer programming model and a novel polynomial time online algorithm, showing superior performance in experiments.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Business
Abubakr Saeed, Hammad Riaz, Muhammad Saad Baloch
Summary: Drawing on the resource-based view, this study examines the impact of big data use on firm legitimacy. Using panel data from Chinese firms over the period 2012-2019 and employing Tobit instrumental variable regression, the results show a positive association between big data utilization and firm legitimacy, with an increase of one point in big data utilization leading to a 27.4% increase in firm legitimacy. This effect is stronger for firms operating in highly competitive industries. Overall, this study contributes to the emerging literature on big data and provides insights on how firms can leverage data-driven insights to manage their organizational environment.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Transportation Science & Technology
Ziang Liu, Gang Xiao, Jizhi Mao
Summary: This paper proposes an innovative operational framework for strategic online en-route operations, capturing the interactions of traffic flow and strategic conflict managements in a more harmonized way. The framework includes a traffic situation awareness method based on digital airspace and a trajectory selection model. Numerical experiments show that integrating traffic flow and strategic conflict managements significantly improves airspace capacity utilization and reduces the number of trajectory conflicts. This method provides a new reference for developing operational frameworks in high-density en-route airspace.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Caiqi Bu, Kaixia Zhang, Daqian Shi, Shuyu Wang
Summary: This study explores how to improve corporate energy efficiency from the perspective of informal environmental regulation. The findings show that environmental information disclosure not only reduces pollution, but also significantly improves corporate energy efficiency, especially for exporting, large-scale, non-state-owned, and growing firms. The study further discusses the mechanism for this effect, including improving energy structure, increasing investment efficiency, and inhibiting innovation in polluting industries.
Article
Business, Finance
Zhihui Du, Xiaojia Zheng, Chenye Zhang, Rongxi Zhou
Summary: This paper examines the impact of online interactions between retail investors and firm management on financial leverage using a sample of Chinese A-share listed companies from 2010 to 2021. The findings show that retail investors' interaction with management significantly decreases firms' financial leverage by reducing information asymmetry. Moreover, the negative relationship is stronger for firms with more opaque information environments, indicating the importance of information disclosure reform in emerging capital markets.
FINANCE RESEARCH LETTERS
(2023)
Article
Ergonomics
Laura Mills, Verity Truelove, James Freeman
Summary: Advancements in technology have had a significant impact on road safety and communication. However, the emergence of Facebook police location pages and groups raises concerns about the potential for illegal and dangerous driving behaviors to go unpunished. This study examined two Facebook police location groups and three pages from Queensland, Australia, and found that some users had personal experiences of evading punishment for drug driving and lacked knowledge about safe time intervals between drug consumption and driving. The findings highlight the need for greater responsibility from Facebook and the government to address these issues.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Business
Jian Lu, Xiang Su, Yajing Diao, Nianxin Wang, Bin Zhou
Summary: The information presented on a product sales page plays a crucial role in consumers' purchasing decisions, with factors such as historical cumulative sales, shop service quality, and time saved influencing customer choice significantly. The impact of these factors varies for different types of products, and the influence of online observation learning on product sales is moderated by a combination of product type and market age.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Transportation
Mohammad Hossein Chinaei, Taha Hossein Rashidi, Travis Waller
Summary: This paper introduces a distributed architecture for a MaaS digital network using blockchain technology, which integrates multiple service providers to deliver multimodal mobility services. The paper proposes crypto-tickets as a means of service ownership and evaluates the efficacy of the blockchain-based ownership scheme against traditional membership plans. Finally, the potentials of blockchain in personalizing service ownership, congestion management, and data trading between stakeholders of a comprehensive MaaS platform are discussed.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Transportation
Chi Xie, Jue Hou, Ti Zhang, Travis Waller, Xiqun Chen
Summary: This paper examines the impact of electricity-charging prices on the routing choice and flow pattern of electric vehicles in a home-workplace commute traffic network. It proposes a convex programming model to characterize commuters' charging behavior under different prices and designs a path-based solution algorithm to solve this problem.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Transportation
Chi Xie, Yanjie Wan, Min Xu, Xiqun Chen, Travis Waller
Summary: This article reinvestigates the mathematical formulations of traffic assignment problems with perception stochasticity and demand elasticity, proposing a pair of dual general formulations. The equilibrium or optimality conditions of these problems can be redefined as a combination of equations, and the solutions of the primal and dual formulations have been proven to be equivalent and unique. Algorithmic analysis and numerical tests suggest that the dual formulation-based algorithm, the Cauchy algorithm, is more suitable for large-scale problems and converges faster than the primal formulation-based Frank-Wolfe algorithm.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Engineering, Civil
Siroos Shahriari, Edward N. Robson, Jason Wang, Vinayak V. Dixit, S. Travis Waller, Taha H. Rashidi
Summary: Traditional transport models often do not account for broader changes in the economy, so there is a need for an integrated CGE and transport model to quickly assess the economic impacts of transport projects and policies.
Article
Computer Science, Interdisciplinary Applications
Haoning Xi, Yili Tang, S. Travis Waller, Amer Shalaby
Summary: Mobility-as-a-Service (MaaS) is an emerging business model that integrates various travel modes into a single on-demand mobility service. This study proposes a MaaS ecosystem that provides both mobility and instant delivery services by sharing the same multimodal transport system. A bilaterial surcharge-reward scheme (BSRS) is introduced to manage the integrated mobility and delivery demand, and a solution algorithm is developed to optimize the system equilibrium costs.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Transportation Science & Technology
Ali Najmi, Taha H. Rashidi, Travis Waller
Summary: This paper proposes a generalized multi-modal multi-provider market equilibrium model to evaluate the operation of transport systems. The model includes various modes of transportation such as private vehicles, walking, public transport, ride-sourcing, and ridesharing. The economic behaviors of service providers and a network operator are modeled using optimization problems and user equilibrium conditions, forming a complementarity formulation for the market at equilibrium. Extensive computational experiments demonstrate the model's applicability in handling various market responses to technological improvements, demand changes, emissions restrictions, and cultural barriers.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Construction & Building Technology
Zixuan Chen, Ahmed W. A. Hammad, Steven Travis Waller, Assed Naked Haddad
Summary: This paper presents a novel multi-objective mixed integer linear programming model that considers the selection of suitable suppliers, inventory management practices, and order quantities to optimize the trade-off between procurement cost and material delay impacts. The proposed model treats material prices, supplier capacities, and delays as fuzzy scenario-based parameters and is validated through numerical testing. The sensitivity analysis shows the importance of accurate estimation for uncertain parameters. The paper also demonstrates the higher performance of the proposed model compared to deterministic market conditions.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Construction & Building Technology
Cecilia Gravina da Rocha, Kasun Wijayaratna, Kase Jong, David Haller
Summary: This study examines the theoretical connections between off-site construction (OSC) and lean, and investigates the impact of OSC strategies on flow, completion times, and simplification in construction. The findings show that OSC can significantly reduce schedule durations and minimize the number of parts on-site, but flow variability remains unchanged compared to traditional construction. This study contributes to the existing knowledge by quantifying the impact of OSC strategies on flow and empirically examining their benefits from a simplification perspective.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Economics
Haoning Xi, Wei Liu, S. Travis Waller, David A. Hensher, Philip Kilby, David Rey
Summary: In the context of Mobility-as-a-Service (MaaS), the transportation sector is shifting towards user-centric business models that prioritize user experience and customized mobility solutions. This study proposes an auction-based mechanism and optimization models for the demand-side management of MaaS systems. The mechanism allows users to bid for mobility services based on their willingness to pay and experience-related preferences, and the optimization models aim to maximize social welfare by optimally allocating mobility resources in real-time. Extensive simulations using realistic mobility data demonstrate the benefits of the proposed mechanism.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Environmental Studies
Bangyang Wei, Bo Du, Meead Saberi, S. Travis Waller, Wei Liu
Summary: This study investigates the strategy of allocating road space as parking for electric ride-sourcing vehicles (ERVs) to reduce cruising. The results show that providing parking increases ride-sourcing demand, reduces charging demand, and increases profit and social welfare.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Engineering, Civil
Navid Kalantari, Hamid Mirzahossein, Pooyan Najafi, Travis Waller, Xiang Zhang
Summary: Although demand management has been proven to be effective in managing congestion, many organizations still focus on network modification and capacity increase as congestion relief measures. The network design problem plays a significant role in shaping urban transportation networks. This study proposes an efficient solution algorithm for the continuous network design problem and shows that it can solve the problem in a shorter time with high accuracy.
TRANSPORTATION RESEARCH RECORD
(2023)
Review
Transportation
Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu
Summary: Transportation is crucial for the economy and urban development, but it faces challenges in terms of efficiency, sustainability, resilience, and intelligence. Reinforcement Learning (RL) has emerged as a useful approach for smart transportation applications, allowing autonomous decision-makers to learn from experiences and make optimal actions in complex environments. This paper conducts a bibliometric analysis to understand the development of RL-based methods in transportation applications and provides a comprehensive literature review on the specific topics. Future research directions for RL applications and developments are also discussed.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Engineering, Civil
Chence Niu, Sisi Jian, Divya Nair, Vinayak Dixit
Summary: Extreme events, such as disasters and severe road accidents, have become common and pose a threat to many lives. Efficient evacuation is crucial, necessitating planning and development of transport infrastructure resiliency. This study formulates a bi-level multi-objective model to optimize pre-disaster investment in the road network considering different levels of disaster damage. Using realistic speed data, the study explores the relationship between vulnerability and reliability to make informed investment decisions. The findings provide a theoretical basis for authorities to make pre-disaster road network investments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Education, Scientific Disciplines
Kasun P. Wijayaratna, Taha Hossein Rashidi, Lauren Gardner
Summary: Civil engineering, particularly transport engineering, is a dynamic profession that has been influenced by recent advancements in technology. Teaching undergraduate students the fundamental principles of transport planning and design is crucial to the sustainability of the profession. In this paper, a series of blended learning initiatives were implemented in a large class-size transport planning and geometric design subject, which were well received by students and offered tailored learning opportunities. This case study adds to the growing body of literature that highlights the potential value of blended learning initiatives in large class-size university subjects.
JOURNAL OF CIVIL ENGINEERING EDUCATION
(2023)
