Article
Economics
Guoyuan Li, Anthony Chen
Summary: A frequency-based path flow estimator is proposed in this article to estimate the transit passenger origin-destination (OD) matrix in an urban congested transit network. The model considers the effect of congestion and benefits from being formulated as a single-level model with the route-section-based network representation. Multiple transit data sources are incorporated to improve the estimation accuracy.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Medicine, General & Internal
Mohamad Adam Bujang
Summary: Sample size calculation based on a specified width of 95% confidence interval allows researchers to determine the level of statistical accuracy they want to achieve for a study. This paper provides a conceptual background for sensitivity and specificity analysis and presents sample size tables based on a 95% confidence interval width. The paper also offers recommendations for sample size planning in diagnostic and screening scenarios, as well as discusses other relevant considerations in determining the minimum sample size and drafting the sample size statement for sensitivity and specificity analysis.
Article
Engineering, Civil
Mun Chon Ho, Joanne Mun-Yee Lim, Chun Yong Chong, Kah Keong Chua, Alvin Kuok Lim Siah
Summary: This paper proposes an improved algorithm called MSPSA for the offline calibration of high-dimensional OD parameters in a simulation-based traffic model. The MSPSA algorithm combines the gradient of SPSA with the gradient of a differentiable metamodel function to improve calibration efficiency. Testing on a synthetic toy network and a complex road network in KL, Malaysia, the MSPSA algorithm shows at least 50% improvement compared to SPSA and WSPSA in both synthetic and real-world scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Mathematics
Felix Almendra-Arao, Hortensia Reyes-Cervantes, Marcos Morales-Cortes
Summary: Confidence intervals are important tools for estimating binomial proportions in statistics, with the most well-known being the Wald and Clopper-Pearson intervals. However, these intervals are known to have shortcomings in terms of coverage probability and expected mean length, leading to the proposal of alternative intervals. In this study, we investigate the performance of several of these confidence intervals using a parametric family to estimate the parameter p. Instead of using the confidence intervals approach, our analysis is done through hypothesis tests. Our main goal is to identify values of c that yield better-performing tests and establish an optimal procedure.
Article
Engineering, Electrical & Electronic
Wenjie Qiao, Yinghua Han, Qiang Zhao, Fangyuan Si, Jinkuan Wang
Summary: The increasing penetration of electric vehicles (EVs) leads to the interconnection of urban transportation network (UTN) and power distribution network (PDN). Researchers propose a coupled traffic-distribution (CTD) model to analyze the impact of drivers' behavior on the network. By minimizing the total traveling cost and power service cost, the relationship between the two networks is revealed. The proposed model integrates a stochastic user equilibrium traffic assignment problem (SUE-TAP) with a nonlinear alternative current optimal power flow (ACOPF) model, and a piecewise linear approximation method is introduced to solve the problem.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Thi-Phuong Nguyen, Yi-Kuei Lin
Summary: This study investigates the system reliability evaluation of tourism transport networks, establishes a stochastic multiple-origin-destination tourism transport network with tardiness, identifies minimal travel paths and maximum tardiness vectors for successful passenger delivery, and provides an algorithm to handle time constraints and tardiness with multiple origin-destination pairs, helping travel agencies understand the performance of their networks.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Physics, Multidisciplinary
Xiaoxia Yang, Rui Zhang, Fuquan Pan, Yi Yang, Yongxing Li, Xiaoli Yang
Summary: Evacuation path of pedestrians at subway stations has a direct impact on evacuation efficiency and station service level. This study establishes a Fisk stochastic user equilibrium model considering congestion factors to assist in evacuation path planning. The model can effectively avoid bottleneck areas and dangerous situations. The results show that the model improves evacuation efficiency and reduces evacuation time.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Energy & Fuels
Mihaela Simionescu
Summary: The aim of this paper is to analyze the stochastic convergence in per capita energy use in the EU-15 countries in the period 1970-2019. The research shows that 11 countries in the EU-15 exhibited a convergent pattern, while Ireland and Spain had persistent per capita energy use. The study also indicates that economic growth is a significant factor in per capita energy use for countries with convergent behavior.
Article
Engineering, Electrical & Electronic
Chao Sun, Haodong Jing, Taolue Chen, Menghui Li, Peng Zhang
Summary: In this paper, a traffic assignment algorithm called the route-based incremental equilibrium assignment (IEA) method is proposed to achieve a less complex methodology and implementation than current algorithms. The IEA method iteratively performs incremental assignment and new origin-destination (O-D) demand extraction. It is further extended to solve the stochastic user equilibrium (SUE) and reliability-based user equilibrium (RUE) models, demonstrating its effectiveness.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Environmental Sciences
Akio Tada, Haruya Tanakamaru
Summary: Accurate estimation of riverine constituent loads is crucial for water pollution control and erosion control. However, there is currently no established method for accurately estimating loads using commonly employed water quality monitoring strategies. In this study, we propose methods for unbiased load estimation and confidence interval construction based on limited samples collected with commonly used monitoring strategies. The effectiveness of the proposed methods was verified using multiple datasets, demonstrating unbiased load estimates and appropriate confidence intervals. This research is important for evaluating and improving water quality monitoring strategies to achieve more accurate load estimation.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Chao Sun, Peng Zhang, Yuji Shi, Yulin Chang
Summary: This study introduces a two-stage optimization model for determining sensor locations and stochastic scaling rates. The first stage minimizes variability in scaling rates to identify optimal sensor locations, while the second stage uses a Bayesian-based model to infer stochastic scaling rates based on prior information and observed data.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Biology
Ying Jin, Dominik Rothenhaeusler
Summary: Parameters of finite populations with known attributes can be accurately estimated and have conditionally valid confidence intervals using a statistical inference framework. This allows for more relevant analysis of specific subpopulations and their effects, rather than generalizing from superpopulations. The proposed methods also extend to new populations with differing covariate distributions, providing conditionally valid confidence intervals.
Article
Management
Muqing Du, Heqing Tan, Anthony Chen
Summary: This paper explores a novel step size determination scheme, the Barzilai-Borwein step size, and applies it to solving the stochastic user equilibrium problem. Experimental results demonstrate that the BB step size outperforms current step size strategies in terms of computational efficiency and robustness.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Multidisciplinary Sciences
Ali Alhajraf, Ali Yousef, Hosny Hamdy
Summary: This paper discusses triple sampling inference procedures for the mean of a symmetric distribution, specifically the normal distribution with known coefficient of variation. The Searls' estimator is used as an initial estimate for the unknown population mean instead of the classical sample mean. The normal distribution is widely studied and applied in various fields. The paper focuses on the minimum risk point estimation problem and the construction of a fixed-width confidence interval, both under a unified optimal framework. The theoretical results show that the performance of the triple sampling procedure depends on the numerical value of the coefficient of variation.
Article
Statistics & Probability
M. S. Kotb, M. Z. Raqab
Summary: This paper focuses on estimating the reliability of a multi-component stress-strength model in an s-out-m system under progressively type-II censored modified Weibull data. Maximum likelihood and Bayes estimators are used, along with the development of confidence and credible intervals. The Lindley's approximation and Markov chain Monte Carlo methods are applied for computing approximate Bayes estimates and analyzing two real data sets.
STATISTICAL PAPERS
(2021)
Article
Transportation
Zhanhong Cheng, Jia Yao, Anthony Chen, Shi An
Summary: This paper investigates the conditions and characteristics of stochastic traffic assignment paradoxes in three models: multinomial logit, multinomial weibit, and multiplicative hybrid, finding that the multiplicative hybrid model fits the data the best. The study suggests that the other two models exhibit inherent tendencies, and the paradoxical links identified by the multiplicative hybrid model are a compromise of the other two models.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Transportation
Rong Zhao, Xiangdong Xu, Anthony Chen
Summary: This paper introduces a more efficient and time-saving counting method to calculate the number of efficient paths between each origin-destination pair in a transportation network, and provides numerical examples to demonstrate the validity and efficiency of the proposed method.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Transportation
Guangchao Wang, Kebo Tong, Anthony Chen, Hang Qi, Xiangdong Xu, Shoufeng Ma
Summary: This study investigates the impacts of the least perceived travel cost on the stochastic user equilibrium problem. The Weibit SUE models with a positive location parameter reduce perception variances route-specifically and resolve the scale insensitivity issue. Numerical results confirm the analytical results and demonstrate the efficiency and robustness of the proposed solution algorithm.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Management
Guoyuan Li, Anthony Chen
Summary: This paper proposes a strategy-based transit stochastic user equilibrium (SUE) model that considers capacity and number-of-transfers constraints in an urban congested transit network. The model uses a route-section-based method for network representation and assumes passengers' route choice behavior obeys the logit model. The transit line capacity and maximum number-of-transfers constraints are considered, and the problem is formulated as a variational inequality (VI) problem. A transit path-set generation procedure is proposed, and the asymmetric cost function is solved using the diagonalization method.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Transportation
Ruiya Chen, Xiangdong Xu, Anthony Chen, Xiaoning Zhang
Summary: This paper presents a conservative expected travel time approach, called MCET, for reporting reliable waiting time information in app-based transportation services, addressing the issues of existing information provision forms.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation
Ruiya Chen, Xiangdong Xu, Anthony Chen, Chao Yang
Summary: Travel time variability poses challenges to reporting travel time information. This paper proposes a conservative expected travel time approach to enhance information reliability and simplicity.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Economics
Yu Gu, Anthony Chen, Xiangdong Xu
Summary: This study proposes an optimization-based approach to rank the importance of link combinations and analyze network vulnerability in extreme and near-extreme cases of disruption. A vulnerability envelope concept is used, which considers the worst and best network performance under multiple-link disruptions. The results demonstrate that the consideration of near-extreme cases yields additional valuable information that is not generated by the traditional vulnerability analysis.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Yu Gu, Anthony Chen
Summary: This study proposes an advanced equilibrium mode choice model to analyze the mode choice behavior of emerging customized bus (CB) services. The model considers the unique characteristics of CB services, including seat reservation and loyalty scheme. The results demonstrate the importance of considering passenger loyalty and managing mode similarity and heterogeneity when modeling emerging CB services.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Environmental Studies
Zhuowei Wang, Jiangbo Yu, Guoyuan Li, Chengxiang Zhuge, Anthony Chen
Summary: This study investigates the feasibility and policy implications of achieving carbon neutrality in Hong Kong's public transportation through a competitive bus-market mechanism. A dynamic bus-market evolution model is established using the system dynamics method, which incorporates a generalized Lotka-Volterra model and discrete choice model. The results suggest that relying on business-as-usual policies and market evolution may not be sufficient to achieve the desired level of zero-emission buses, and long-term subsidies for hydrogen buses and support for hydrogen stations are effective measures to promote the hydrogen bus market.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Muqing Du, Jiankun Zhou, Anthony Chen, Heqing Tan
Summary: This paper develops a novel transportation network capacity model to evaluate the effects of new urban transport modes on transportation networks. The model is verified through numerical experiments, which demonstrate the impacts of intermodal transportation, e-hailing, and ridesharing on multimodal transportation network capacity.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Zhiao Ma, Xin Yang, Jianjun Wu, Anthony Chen, Yun Wei, Ziyou Gao
Summary: This paper focuses on the resilience of urban rail transit (URT) systems in the event of breakdowns or deliberate damages. A multi-dimensional evaluation model is proposed to measure the resilience by analyzing multiple sources of data. A case study based on real-world data from the Beijing Subway network is presented to demonstrate the effectiveness and applicability of the model. The findings can help identify critical stations, measure emergency recovery abilities, and provide necessary information support for reducing the risk of URT incidents.
Article
Geography
Ho-Yin Chan, Yingying Xu, Anthony Chen, Xintao Liu, Kason Ka Ching Cheung
Summary: This article introduces a proof-of-concept designer-in-the-loop schematic map drawing tool, which combines manual and automated approaches to provide technical interactivity between the user and the computer. Compared to existing methods, the proposed approach is more compatible with the framework of effective map design from psychological and aesthetic perspectives, and offers a range of options based on user preferences.
TRANSACTIONS IN GIS
(2023)
Article
Environmental Studies
Shiqi Wang, Yuze Li, Anthony Chen, Chengxiang Zhuge
Summary: This paper develops a data-driven micro-simulation optimization model for deploying charging infrastructure for a large-scale electric bus network. The model considers both traditional charging posts and wireless charging lanes. The results show that deploying both charging posts and WCLs leads to higher levels of service, energy savings, and reduced emissions compared to deploying only charging posts, although the total costs are slightly higher. Sensitivity analysis confirms that parameters associated with electric buses and charging facilities significantly influence the model outputs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Zhandong Xu, Anthony Chen, Xiaobo Liu
Summary: This paper presents a continuous time surplus maximization bi-objective user equilibrium (C-TSmaxBUE) model, in which the users' variability toward the time and toll trade-off in a tolled road network is explicitly considered. The model assigns different users with different ratios of the time saved per unit of money (RTSMs), and infinite indifference curves are generated by considering continuously distributed RTSMs in the population. A path-based single-boundary adjustment (SBA) algorithm is developed to solve the problem, which adjusts RTSM boundaries and path flows simultaneously. Numerical results demonstrate the equilibrium flow pattern and the efficiency of the SBA algorithm in obtaining high-quality equilibrium solutions.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Umer Mansoor, Arshad Jamal, Junbiao Su, N. N. Sze, Anthony Chen
Summary: Motorcycle crashes cause a significant number of fatalities and severe injuries worldwide, especially in developing countries. Machine learning methods have been found to provide better prediction performance, but with weaker interpretability. This study aims to compare the consistency of risk factors identified by statistical models and machine learning methods in analyzing motorcycle crash severity.
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
