Article
Thermodynamics
Bo Sun, Boyang Fan, Chun Wu, Jingdong Xie
Summary: This study explores incentive mechanisms to promote the development of Carbon capture, utilization and storage (CCUS) projects in China's coal-fired power plants (CFPPs). The findings suggest that financial incentives, such as clean electricity price subsidy and initial investment subsidy, have different impacts on CFPPs, with the government preferentially implementing the latter. Non-financial incentives, such as extra electricity quota, have a larger impact on CCUS project development. The frequency and magnitude of policy and subsidy adjustments also affect the success of CCUS projects.
Article
Computer Science, Information Systems
Zhou Chen, Yukun Cheng, Xiaotie Deng, Qi Qi, Xiang Yan
Summary: This article discusses the Sybil attack in a sharing-based economic system and examines the robustness of the market equilibrium mechanism against such an attack. By measuring the incentive ratio, it is found that no participant can increase their share by more than root 2 times in the market equilibrium solution.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Yunshu Liu, Shulin Ke, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
Summary: In current blockchain systems, the storage sustainability issue arises due to the heterogeneous storage costs of miners and low-intensity fee competition among users. To address this problem, a Fee and Transaction Expiration Time (FTET) mechanism is proposed, which achieves storage sustainability in the blockchain without any social welfare loss.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Zhicheng Liu, Jiangtian Nie, Victor C. M. Leung
Summary: Advances in communications and networking technologies are driving the computing paradigm towards the end-edge-cloud collaborative architecture. Hierarchical Federated Learning (HFL) balances system overhead and model performance through an incentive mechanism, addressing limitations that could degrade mechanism performance.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry
Summary: In mobile crowdsourcing, the majority voting mechanism is commonly used to incentivize workers to provide high-quality solutions. However, prior work assumes that workers' solution accuracy levels are public knowledge, which may not be true in practice. We propose an online mechanism that allows the platform to learn the distribution of workers' solution accuracy levels by asking them to report their private accuracy levels. We show that our mechanism induces workers to truthfully report their accuracy levels, and the empirical accuracy distribution converges to the actual distribution faster when workers are more capable.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Chao Huang, Haoran Yu, Randall A. Berry, Jianwei Huang
Summary: This study proposes a novel rewarding mechanism based on truth detection technology to effectively mitigate worker collusion in mobile crowdsourcing platforms. The study also introduces a filtered majority rule for aggregating workers' solutions, outperforming the conventional simple majority rule. Additionally, the impact of truth detection accuracy and workers' imperfect estimation of it on platform decisions are examined.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Construction & Building Technology
Shuhua Zhang, Jinghuan Li, Yu Li, Xiaoling Zhang
Summary: This paper introduces a new swing option method to model revenue risk allocation contracts in PPP projects, integrating minimum revenue guarantees and excess revenue sharing while embedding incentives and flexibility through granting swing rights. Through a demonstration case of a highway in China, contract values for different allocation parameters are obtained, providing a reference for negotiations and optimal strategies for exercising swing rights. The new revenue risk allocation mechanism developed by the swing option method enriches the theory of revenue risk allocation in PPP projects.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Chenrui Wu, Yifei Zhu, Rongyu Zhang, Yun Chen, Fangxin Wang, Shuguang Cui
Summary: In this article, we propose FedAB, an incentive and client selection strategy for federated learning, which ensures the effectiveness, fairness, and reciprocity of data contribution while preserving user privacy. Extensive experiments on real datasets demonstrate the superiority of FedAB in terms of total reward, final accuracy, and convergence speed compared to state-of-the-art solutions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Theory & Methods
Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong
Summary: Blockchain-based federated learning (BCFL) has gained attention for its advantages, but the resource allocation for clients in the BCFL system has been overlooked. This paper proposes an incentive mechanism to assign appropriate rewards to clients and uses a two-stage Stackelberg game to determine the amount of computing power allocated for each subtask. Experimental results demonstrate the effectiveness of the proposed schemes.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Rasool Esmaeilyfard, Mahsa Moghisi
Summary: This paper presents an incentive mechanism design for a multitask and multi-publisher mobile crowdsensing system based on game theory and Stackelberg game. The optimal rewards for tasks and the existence of a unique Nash equilibrium have been studied, and a distributed algorithm has been proposed to specify this equilibrium point.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Environmental Studies
Yuanyuan Wang, Ruguo Fan, Kang Du, Jinchai Lin, Dongxue Wang, Yitong Wang
Summary: This study develops an incentive mechanism for solving the challenge of private charger installation based on an evolutionary game model and system dynamics. The results show that increasing property companies' support and implementing dynamic incentives can promote the installation of private chargers, while controlling management costs and safety hazards is crucial for the incentive effect.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Management
Jonathan Chamberlain, Eran Simhon, David Starobinski
Summary: For an M/G/1 queuing system with advance reservations, customers can strategically decide whether to reserve a server in advance and choose from different priority-based preemption policies. Analysis shows that only the HPR policy can have an equilibrium where all customers make reservations, and the system load and service distribution affect the Nash equilibria.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Hongyu Jin, Shijing Liu, Jun Li, Chunlu Liu
Summary: The research aims to determine the optimal levels of government guarantee and revenue cap to achieve a reasonable financial risk allocation between governments and private investors. The determination process combines expanded net present value analysis and bargaining game theory. The study validates the proposed process using a real PPP project in Australia and finds that government preferences influence the optimal levels.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Haiyan He
Summary: Users in utility tunnel PPP projects are productive corporate entities with limited quantity and strong bargaining power. Conflicts of interest arise among the government, construction contractors, and users due to their different interests and dual information asymmetry. Principal-agent theory is used to construct incentive models, examine the impact of user involvement, and design a reasonable incentive mechanism to ensure truthful reporting and optimal efforts. This research provides insights for promoting sustainable development of tunnel PPP projects, as demonstrated by case analysis.
Article
Management
Hongyu Jin, Shijing Liu, Jide Sun, Chunlu Liu
Summary: The study fills the research gap in the interaction between concession periods and MRG in PPP contract design, proposing a synthetic measure to determine their values. By using an imperfect information bargaining model and Monte Carlo simulation, the study successfully found the equilibrium return rate on investment and validated the applicability of the proposed method through a numerical example.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(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)