Article
Transportation Science & Technology
Renxin Zhong, Jianhui Xiong, Yunping Huang, Nan Zheng, William H. K. Lam, Tianlu Pan, Biao He
Summary: Recent research shows that trip-based models are more accurate at capturing network hyper-congestion compared to conventional macroscopic fundamental diagram (MFD) dynamics, but analyzing dynamic user equilibrium of departure time choice remains a challenge due to the complex mathematical structure. The study highlights significant differences in information support between basic trip-based models and traditional MFD models.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Wen-Long Jin
Summary: This paper introduces a new dynamical system that can adjust drivers' departure times and verifies its stability. The study also examines the impact of symmetrical and asymmetrical coefficients on the model.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation Science & Technology
Mehmet Yildirimoglu, Mohsen Ramezani, Mahyar Amirgholy
Summary: This paper proposes an optimal staggered work schedules problem to minimize network total travel time and prevent delays in commuter trips during morning peaks in a bicentric network. By using a multi-objective optimization program and macroscopic fundamental diagrams, the method's accuracy and effectiveness are analyzed through solving the optimization problem for a test network. Results demonstrate that implementing this strategy can significantly reduce traffic congestion in urban networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Takashi Akamatsu, Kentaro Wada, Takamasa Iryo, Shunsuke Hayashi
Summary: This paper presents a systematic approach for analyzing the departure-time choice equilibrium problem in a single bottleneck with heterogeneous commuters. The study shows that the essential condition for emerging equilibrium sorting patterns is the Monge property of schedule delay functions, and equilibrium problems with this property can be solved analytically. The proposed approach can be applied to more general problems with multiple types of heterogeneities.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation Science & Technology
Qiumin Liu, Rui Jiang, Wei Liu, Ziyou Gao
Summary: This study extends existing stochastic bottleneck model studies by considering a more general distribution of the bottleneck capacity. The results show that the mean travel cost and the mean total travel time may vary with the capacity degradation probability and level. It is also found that the mixed capacity distribution outperforms the binary capacity distribution in evaluating the departure/arrival pattern and mean travel cost.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Operations Research & Management Science
Mostafa Ameli, Mohamad Sadegh Shirani Faradonbeh, Jean-Patrick Lebacque, Hossein Abouee-Mehrizi, Ludovic Leclercq
Summary: Departure time choice models are crucial for determining traffic load in transportation systems. This study introduces a new framework based on mean field games theory to model and analyze the departure time user equilibrium (DTUE) problem without making assumptions on user characteristics or dynamic traffic models. The proposed continuous and discrete departure time choice models are compared with existing models, showing better solutions and faster convergence.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Xiao-Shan Lu, Hai-Jun Huang, Ren-Yong Guo, Fen Xiong
Summary: This paper extends the work of Zhang et al. (2008) to investigate daily commuting patterns in a linear city, allowing for late arrival and early departure. A combined regime is proposed to reduce total social cost, with analytical results showing the impact of different factors on commuters' departure time choices.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Hongxing Ding, Hai Yang, Hongli Xu, Ting Li
Summary: Based on the status quo-dependent route choice model in Xu et al. (2017), this study integrates the model into traffic assignment modeling and establishes a Status quo-dependent User Equilibrium (SDUE) model. The SDUE model considers cognitive limitations, satisficing behavior, inertial behavior, and variation in value of time (VOTs) in route choice behavior. The study also demonstrates that equilibrium solutions from previous UE models can be included in the SDUE solution set by varying VOTs among users and scenarios.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation
Xiaoyan Sun, Chengjie Gong, Jianxin Tan
Summary: This paper presents an experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions. The results show that achieving user equilibrium is easy in medium-capacity conditions, but difficult in low- and high-capacity scenarios. A reinforcement learning model is constructed to reproduce experimental results and uncover subjects' learning mechanism. The findings provide theoretical support for developing measures for transportation management and control during the morning rush hours.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Engineering, Civil
Markus Friedrich, Matthias Schmaus, Jonas Sauer, Tobias Zundorf
Summary: This paper investigates existing departure time models for a schedule-based transit assignment and their parametrization. It suggests using 1-minute intervals and introduces the concept of adaptation time. The study found that longer time intervals led to arbitrary run volumes, indicating the need for a nonlinear evaluation function to better describe passenger behavior.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Computer Science, Artificial Intelligence
Wenlong Zhu, Junting Zhang, Shunqiang Ye, Wanli Xiang
Summary: This paper investigates Braess Paradox under the bi-objective user equilibrium, introducing the definition and occurrence conditions of the paradox. Analytical properties of the bi-objective user equilibrium solutions and the conditions for the occurrence of Braess Paradox are explored on a classical Braess network. The study proves that the occurrence conditions of Braess Paradox are dependent upon link performance parameters and travel demand.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Civil
Shijun Yu, Siyuan Zhang, Shejun Deng, Tao Ji, Peng Zhou, Lang Peng
Summary: This study analyzed tourists' travel behavior based on a survey conducted in Yangzhou city and established a prediction model for tourists' departure time choice. The results indicated that synchronized traffic information and other tourism-related factors determine tourists' departure time choice, distinguishing it from the daily travel behavior of urban residents. This research can provide suggestions for the urban tourism management department to formulate more targeted and efficient policies while creating a more comfortable tourism environment for tourists.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Engineering, Multidisciplinary
A. Rasaizadi, S. Seyedabrishami
Summary: This study employed a joint model using copula functions to explore the interdependency between departure time and destination choices. Results suggested that there were common unobserved factors and observed factors between these decisions.
Article
Engineering, Civil
Sanjana Hossain, Md Sami Hasnine, Khandker Nurul Habib
Summary: This paper introduces a closed-form Latent Class Model (LCM) of joint mode and departure time choices, and conducts an empirical investigation on commuters in the Greater Toronto and Hamilton Area. The study reveals that commuters are more likely to switch modes than departure times, and the average Subjective Value of Travel Time Savings (SVTTS) is estimated to be around 27 dollars in the area.
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
Transportation
Dong Liu, Mei-Po Kwan, Jianying Wang
Summary: The 15-minute city concept has been adopted by many cities worldwide to create compact and livable urban environments where residents can access essential urban functions within a 15-minute active travel radius. However, there is a lack of comprehensive measures and understanding of the 15-minute city status. This study proposes a 15-minute city index that incorporates accessibility to five categories of POI locations using the latest population census and POI data in Hong Kong.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Stephen Greaves, Matthew Beck, Alec Cobbold, Christopher Standen, Chris Rissel, Melanie Crane
Summary: This study examines the impact of COVID-19 on working from home, active travel, physical health, and wellbeing. Based on a survey of workers in Sydney, Australia, the study identifies three distinct segments with different outcomes in terms of active travel, physical activity, and quality of life.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Xuan Li, Jaehyun Ha, Sugie Lee
Summary: This study investigates the functions of public bikes as both transportation and leisure tools, as well as their interactions with the public transit system. By utilizing real-world data, data mining techniques, and spatial feature engineering, the authors identify four categories of public bike trips and analyze their characteristics, spatial-temporal distribution, and determining factors. The findings reveal significant heterogeneity among these categories and suggest the importance of considering the diverse needs of citizens when planning and operating bike-sharing systems.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Shanshan Sun, Yiik Diew Wong, Xueqin Wang, Andreas Rau
Summary: This study examines the causality of travel-based multitasking behavior using three theoretical frameworks. The results show that habit has the strongest impact on multitasking behavior, and norm significantly affects habit formation and smart device addiction. Policy-makers should consider the differences among intention, habit, and addiction in designing interventions.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Yinhua Tao, Maarten van Ham, Ana Petrovic
Summary: Emerging longitudinal research in urban China shows that car and active commuting are associated with lower levels of psychological stress, while long-duration motorized commuting trips by car or public transport predict higher stress levels. Moreover, high-urbanicity areas with more active commuting trips and short motorized commuting trips have better long-term psychological wellbeing. In contrast, medium urbanicity areas with long-duration public transport commuting face higher commuting-related stress risks.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Weiying Wang, Toshihiro Osaragi
Summary: In this paper, daily activity sequences from datasets collected in the Tokyo Metropolitan Area over thirty years were examined using a time-varying Markov Chain model. It was found that the model can generate individual-level activity sequences with high accuracy, comparable to neural network models. A new mechanism for activity planning was proposed, based on cost and utility.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Elyse Comeau, Siobhan Kelly, Yani Hamdani, Timothy Ross
Summary: This paper presents findings from a study on how disabled people experience accessible taxi services. The study analyzed customer complaint reports and driver-reported incident reports, highlighting the temporal experiences of disabled riders and the ableist aspects of accessible taxi services that contribute to barriers faced by disabled passengers.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Cheng-Kai Hsu
Summary: This study investigates the effects of weather on road injury frequency under different climatic conditions, with a focus on non-temperate areas. The findings suggest that adverse weather conditions contribute to increased road injury frequency, and these effects are influenced by the prevailing seasonal conditions.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Wenyan Hu, Mengya Li, Mei-Po Kwan, Haifeng Luo, Bingkun Chen
Summary: This paper presents a novel taxi anomaly detection framework called TAPS, which is based on real-time vehicle trajectory prediction. By training and predicting the positions of taxis, it detects their anomalous trajectories. Experimental results demonstrate that TAPS achieves high accuracy and precision, making it a useful tool for taxi passengers and companies.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Michael B. Lowry
Summary: Three surveys and an intervention experiment were conducted among university students to investigate the relationship between past experience with multimodal transportation and current travel behavior. The results showed that participating in a multimodal exposure tour increased students' use of bus, bike, and walking. This study provides insights into understanding and shaping travel behavior.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Xiao Han, Qiuxia Sun, Yingying Xing, Zi-You Gao, H. Michael Zhang
Summary: This paper experimentally investigates the impact of routing advice on strategic uncertainty and finds that user-optimal recommendation can reduce strategic uncertainty and stabilize traffic flow, while system-optimal recommendation has the opposite effect. Participants with faster decision-making are more likely to comply with the advice and have lower travel costs.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Corey Dickinson, Kevin Manaugh, Prasad Pathak, Raja Sengupta
Summary: Walkability, a popular concept across disciplines, faces challenges due to its conceptual incoherence and lack of standardization. This study explores the perceptions of walkable space in two groups in Canada and India, finding that while there are differences in the conception of walkability in terms of built environment elements, a common understanding of general walkability exists between the two groups.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Felita Ong, Patrick Loa, Khandker Nurul Habib
Summary: This paper analyzes the post-COVID19 modal preferences among residents of the Greater Toronto Area. The study finds that a return to pre-pandemic levels of public transit can be expected, while private vehicles and active modes will continue to increase post-pandemic. Ride-sourcing and taxi services are likely to play a diminished role. Policies promoting active modes are crucial in maintaining the increased role of walking and cycling and potentially attracting car users post-pandemic.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Huaxiong Jiang, Haoran Xu, Qingfang Liu, Liang Ma, Jinping Song
Summary: With increasing concerns for environmental sustainability and the need to reduce greenhouse gas emissions, electric vehicles have emerged as a promising solution. However, successful adoption and widespread use of electric vehicles depend not only on technological advancements but also on the availability and effectiveness of supporting facilities and conducive environments. This research employs structural equation models to examine the influential factors related to urban planning that impact individuals' willingness to adopt electric vehicles. Data were collected from a diverse sample of 4011 Beijing residents. The study underscores the pivotal role of urban conditions and travel patterns in driving people's preference for electric vehicles, with influential factors including access to green spaces, high-rise buildings, parking availability, loan accessibility, commute time, and housing ownership. Then, variations in willingness and influencing factors between urban and suburban residents are observed, with urban residents being more susceptible to the impact of motorized travel modes and suburban property ownership directly affecting electric vehicle usage. Additionally, certain variables exhibit mediating and moderating effects on electric vehicle preferences. The study highlights the multi-factorial nature of electric vehicle adoption from a planning view, distinguishing itself from prior research focused on isolated elements and simplistic associations. The outcomes provide policymakers and urban planners with effective strategies to facilitate widespread electric vehicle adoption and promote sustainable transportation practices.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Younshik Chung, Sanggi Nam
Summary: This study explores the concept of travel time expenditure using mobile phone signaling data and achieves better spatiotemporal precision than traditional household survey data. However, collecting and cleaning the raw data requires tremendous effort.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)