Article
Transportation
Dong Wang, Feixiong Liao, Ziyou Gao, Harry Timmermans
Summary: This paper investigates the impact of travel time uncertainty on route choice behavior and proposes a user equilibrium model based on GMV. An effective traffic assignment algorithm is developed to solve the problem.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Mathematics
Alaa Ghanaiem, Evgeny Kagan, Parteek Kumar, Tal Raviv, Peter Glynn, Irad Ben-Gal
Summary: This paper presents a method for unsupervised classification of entities by a group of agents with unknown domains and levels of expertise. The suggested method determines the agents' expertise levels and weights their opinions accordingly, reducing incorrect classifications and effectively solving the problem of unsupervised collaborative classification under uncertainty. The algorithm outperforms other known methods based on verification and testing.
Article
Economics
Kit Pong Wong
Summary: This paper examines the optimal investment timing in a principal-agent model with asymmetric information and considers the impact of regret aversion. The study finds that regret aversion affects the trade-off between investment efficiency and information rent, resulting in different outcomes for the manager and owner.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Psychology, Biological
Jarno Tuominen
Summary: Conviction Narrative Theory (CNT) suggests that when faced with radical uncertainty, people rely on narratives rather than probabilities to make choices. Narratives are structured representations of causal, temporal, analogical, and valence relationships. CNT proposes that individuals adopt a narrative that feels right to explain available data, imagine plausible futures, and make choices based on affective evaluation.
BEHAVIORAL AND BRAIN SCIENCES
(2023)
Article
Economics
Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
Summary: This paper proposes a path recommendation model to mitigate congestion during public transit disruptions by recommending different paths for passengers with different origins, destinations, and departure times. The model is formulated as an optimal flow problem and uncertainties are handled using robust optimization. Results show that the robust model can further reduce system travel times.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Mogens Fosgerau, Mads Paulsen, Thomas Kjaer Rasmussen
Summary: This paper proposes a route choice model that represents traveler behavior as a utility maximizing assignment of flow across a network. The model considers substitution between routes and can be estimated quickly using linear regression. It can also make predictions using convex optimization, even for large networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Civil
Zhuangbin Shi, Wenqin Pan, Mingwei He, Yang Liu
Summary: This study investigates the route choice behavior of metro passengers using automated fare collection (AFC) data and a data-driven approach. The findings reveal that considering dynamic segmented travel time and train load status in the route choice model leads to better fit performance. The study also highlights the similar sensitivity of walking time and in-vehicle time for passengers, as well as their stronger aversion to waiting or queuing time. Crowding-related attributes negatively affect route choice, but Nanjing Metro passengers show a higher tolerance for crowding compared to passengers in developed countries.
Article
Computer Science, Information Systems
Jun Gao, Jie Wang
Summary: This study focuses on optimizing routes for dry bulk shipping fleets using robust optimization approach to minimize total transportation costs while ensuring navigation risks remain under a certain threshold. The results show that this approach effectively balances navigation risks and transportation costs.
Article
Business
Alexey Rubtsov, Wei Xu, Aleksandar Sevic, Zeljko Sevic
Summary: This study finds that climate uncertainty leads to a decrease in stock investment, affecting investor welfare. Even when climate risk hedging instruments are available, an increase in climate uncertainty still reduces investor welfare.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Mathematics
Lin Li, Qiangwei Zhang, Tie Zhang, Yanbiao Zou, Xing Zhao
Summary: This paper addresses the issue of multimodal transport path planning under uncertain environments. It establishes a multi-objective fuzzy nonlinear programming model considering mixed-time window constraints. To solve the model, a de-fuzzification process is conducted using the fuzzy expectation value method and fuzzy chance-constrained planning method. A cooperative game theory-based multi-objective optimization method is proposed by combining game theory with the weighted sum method. The algorithm's effectiveness is verified through experiments in a real intermodal network, showing improved performance in terms of transportation costs and carbon emissions compared to other methods.
Article
Economics
Xiao Han, Yun Yu, Zi-You Gao, H. Michael Zhang
Summary: This paper examines the impact of uncertainty on transportation systems and travel costs, as well as the welfare effects of providing travel information in different scenarios. The results show that providing accurate information can improve welfare under certain traffic conditions, but may reduce welfare in specific situations. Factors such as the correlation between traffic conditions, frequency and severity of bottleneck drops, and the relationship between free-flow travel time and bottleneck capacity significantly affect the welfare effects of providing pre-trip information.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Computer Science, Artificial Intelligence
Yong Ge, Huayu Li, Alexander Tuzhilin
Summary: The paper explores route recommendations for drivers using vehicle GPS data, proposing a new Route Recommendation with Relaxed Assumptions (RR-RA) problem to recommend locations based on the driver's current position. The study also addresses the destination-oriented route recommendation (DORR) problem to provide a comprehensive approach for route recommendations to drivers.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Management
Alcino Azevedo, Paulo J. Pereira, Artur Rodrigues
Summary: The study shows that higher depreciation rate or subsidy, as well as lower tax rate, can accelerate investments. Fixed subsidies induce smaller size investments, while variable subsidies encourage larger size investments. Tax and depreciation rates do not affect the size of the investment.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Civil
Xinyi Zhang, Peng Wu, Chengbin Chu, Mengchu Zhou
Summary: This study addresses the problem of lane reservation and route design by considering uncertain road travel time. The objective is to maximize transportation service reliability by deciding which road segments should implement reserved lanes and designing routes for time-crucial tasks. Experimental results demonstrate that a two-stage hierarchical heuristic algorithm based on second-order cone programming is more effective and efficient than an adapted sample average approximation-based approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Construction & Building Technology
Yasuhiko Azegami, Mineko Imanishi, Kunihiko Fujiwara, Hiroyuki Kusaka
Summary: There is a hypothesis that pedestrians choose routes based on solar radiation on hot weather days, but it has not been verified. Hence, this study experimentally explained the impact of solar radiation on pedestrian route choice. Participants walked freely in a commercial area around Tokyo Station and were asked to explain their route choices at every diverging point. The results showed that most participants chose shaded routes and the main reason was to protect their health. This understanding of the effect of solar radiation on route choice is valuable for building design and urban planning.
BUILDING AND ENVIRONMENT
(2023)
Article
Biodiversity Conservation
Gengzhe Wang, Qi Han, Bauke de Vries
Summary: This study implemented spatial optimization in Eindhoven, Netherlands, classified land use patterns into six categories, and found that vegetation geographic features are crucial factors affecting carbon emissions. Through a multi-objective spatial optimization model, carbon emissions were successfully reduced, and the impact of different land use categories on carbon emissions was analyzed.
ECOLOGICAL INDICATORS
(2021)
Article
Green & Sustainable Science & Technology
Li Dai, Qi Han, Bauke de Vries, Yang Wang
Summary: This study combines the perspectives of the public, government, and project management to examine factors influencing community acceptance of nature-based solutions. Government- and project-related factors are found to have a greater impact on community acceptance, with personal experiences being the most significant public-related factor.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Shahryar Sarabi, Qi Han, A. Georges L. Romme, Bauke de Vries, Rianne Valkenburg, Elke den Ouden, Spela Zalokar, Laura Wendling
Summary: The study found that political and institutional barriers significantly limit the adoption of ULLs, while knowledge brokers and cross-sectoral collaboration play a key role in promoting ULLs. The findings from this study can help cities overcome the main barriers for ULL adoption.
Article
Green & Sustainable Science & Technology
Nuo Zhang, Qi Han, Bauke de Vries
Summary: This study proposes a new framework for Building Circularity (BC) assessment in the Architecture, Engineering, and Construction (AEC) industries, including a material flow model, a Material Passport (MP), and a BC calculation method, to support the coherent and consistent implementation of Circular Economy (CE).
Article
Construction & Building Technology
Li Dai, Qi Han, Bauke de Vries, Yang Wang
Summary: This study investigated how different socio-psychological factors affect citizens' willingness to participate in EIA decision-making and found that social influence, perceived benefits, and perceived enablers are key factors directly influencing willingness to participate. Additionally, the negative effects of social influence mediate the impact of information acquisition and consultation channels on perceived benefits and perceived enablers, resulting in a low willingness to participate.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Review
Construction & Building Technology
Hua Du, Qi Han, Bauke de Vries
Summary: This paper provides a systematic review of the influences and modelling of Energy-Efficient Renovation (EER) adoption and diffusion, highlighting the significant factors of socio-economics, housing, social influences, and environmental attitudes in EER adoption. Agent-Based Modelling (ABM) is emphasized for adoption decision-making and energy efficiency diffusion in EER.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Industrial
Hua Du, Qi Han, Jun Sun, Cynthia Changxin Wang
Summary: This study evaluates the effectiveness of different prefabricated construction policies in Wuhan, considering the local context. Simulation results show that with policy incentives, carbon emission reduction can be increased, and achieving the target of 30% prefabricated construction in all new buildings in China by 2026 is feasible. Optimizing subsidy policies can reduce the level of subsidy needed, while carbon credit policy has little influence on prefabricated construction development, and project procurement restriction policy is not recommended.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Shahryar Sarabi, Qi Han, Bauke de Vries, A. Georges L. Romme
Summary: Cities are increasingly adopting Nature-Based Solutions (NBS), but current planning processes are not adequately collaborative. Planning support systems (PSS) can help facilitate collaborative planning, and the NBS-PSS system is a flexible and actionable tool that positively impacts stakeholder engagement and awareness.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Studies
Zhongqi Wang, Qi Han, Bauke De Vries
Summary: This study aims to integrate land use and transport considerations to support urban land use planning. The concept of maximizing accessibility fitness and the development of accessibility maps are introduced, and a decision support system is built, emphasizing urban renewal and upgrading.
APPLIED SPATIAL ANALYSIS AND POLICY
(2022)
Article
Business
Benedict G. C. Dellaert, Eric J. Johnson, Shannon Duncan, Tom Baker
Summary: This article examines the interaction of two choice architecture tools in improving consumer health insurance decisions and finds that when options are ordered from best to worst and partitioned, the quality of health insurance decisions can be greatly improved.
JOURNAL OF MARKETING
(2022)
Article
Transportation
Xiaoming Lyu, Qi Han, Bauke de Vries
Summary: This paper introduces an urban layout generation (ULG) model that can generate virtual city layouts based on land use measurements, and it has the potential for conducting simulation research on travel behavior.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Environmental Sciences
Shahryar Sarabi, Qi Han, Bauke de Vries, A. Georges L. Romme, Dora Almassy
Summary: Deriving knowledge from past experiences is crucial for the successful adoption of NBS. However, extracting knowledge from the vast amount of information provided by repositories is challenging. This paper introduces an expert system called NBS-CBS, which combines a black-box artificial neural networks model with a white-box case-based reasoning model to provide intelligent, adaptive, and explainable recommendations and information for NBS planning and design.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Jing Zhao, Linyu Shi, Jiayu Li, Haonan Li, Qi Han
Summary: This study quantified the time-delay characteristics of radiant air conditioning systems and established short-term load forecasting and system regulation models based on predictive modeling. The results showed that the system controlled by model predictive control had higher stability in indoor temperature and lower energy consumption.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Environmental Studies
Zhongqi Wang, Qi Han, Bauke de Vries, Li Dai
Summary: The study focuses on the relationship between land use and rail-based transport, using structural equation modeling (SEM) to analyze the causal relationship between heavy railway transit (HRT) services and land use patterns in the Netherlands. The results strengthen the scientific basis for rail transit operations management and propose that the SEM model and modified node place model can be used as analytical and decision-making tools for rail transit-oriented regional development.
APPLIED SPATIAL ANALYSIS AND POLICY
(2021)
Article
Business
Sesil Lim, Bas Donkers, Patrick van Dijl, Benedict G. C. Dellaert
Summary: Digital technology in financial services is enabling consumers to access investment funds more widely, at lower costs, and customize their investments. However, direct digital access also poses challenges as consumers may make suboptimal investment decisions. This research introduces two behavioral effects and a new choice architecture to help consumers overcome these challenges.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
(2021)
