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The COVID-19 pandemic that began in the last quarter of 2019 seriously impacted the transportation industry. Countries around the world adopted various restrictions and policies to prevent the spread of the pandemic, which resulted in a sharp drop in the demand for transportation. China was the first country to detect the pandemic and the fastest to recover. Existing policies and impacts were reviewed to analyze the impact of the pandemic on China’s urban transportation sector and propose measures that may be taken to reduce the impact of COVID-19. This study reviews the impact on urban transportation system operations and how government should respond to a viral pandemic. The recovery measures during and after the pandemic and their hierarchical response system are analyzed. Furthermore, to empirically explore the effect of the recovery measures, this study adopted the Event Study Methodology (ESM) to quantitatively analyze the impact of the epidemic as well as anti-pandemic policies on the traffic flow sequence in the resurgence of COVID-19 in Beijing. The research findings provided solid policy implications and experiences for constructing sustainable urban transportation system and improve flexibility, reliability, and resilience of traffic governance in post-pandemic era.
Huiyu Zhou; Yacan Wang; Joseph R. Huscroft; Kailing Bai. Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China. Transport Policy 2021, 110, 135 -149.
AMA StyleHuiyu Zhou, Yacan Wang, Joseph R. Huscroft, Kailing Bai. Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China. Transport Policy. 2021; 110 ():135-149.
Chicago/Turabian StyleHuiyu Zhou; Yacan Wang; Joseph R. Huscroft; Kailing Bai. 2021. "Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China." Transport Policy 110, no. : 135-149.
Peak-avoidance has been suggested as a strategy to ease congestion and improve the travel experience in the road traffic system. However, commuters’ trade-offs when choosing whether to avoid the peak in the context of subway use have not yet been explored. In highly concentrated megacities, high demand during peak hours in the subway leads to long queues waiting to enter stations or platforms, as well as crowded trains, which yields highly negative externalities. This paper contextualizes and incorporates commuters’ perceived value as a theoretical basis to explain how perceived benefits and perceived sacrifices affect commuters’ intentions to avoid the peak in subway systems. A hybrid model was constructed to incorporate the perceived benefits and perceived sacrifices as latent variables to understand peak-avoidance behavior. Social norms, previous habits, and personal subjective feelings have significant impacts on subway commuters’ peak-avoidance decisions. In addition, our combined model improved the explanatory power compared to a traditional ordered logit model. The framework can be used as a theoretical basis for further development of behavioral research into commuters’ decision-making. Finally, these findings provide meaningful guidance for the government and subway companies to encourage travelers to avoid rush hours effectively.
Yu Wang; Yacan Wang; Dick Ettema; Zidan Mao; Samuel G. Charlton; Huiyu Zhou. Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system. Transportation Research Part A: Policy and Practice 2020, 139, 70 -84.
AMA StyleYu Wang, Yacan Wang, Dick Ettema, Zidan Mao, Samuel G. Charlton, Huiyu Zhou. Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system. Transportation Research Part A: Policy and Practice. 2020; 139 ():70-84.
Chicago/Turabian StyleYu Wang; Yacan Wang; Dick Ettema; Zidan Mao; Samuel G. Charlton; Huiyu Zhou. 2020. "Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system." Transportation Research Part A: Policy and Practice 139, no. : 70-84.
With the rapid growth of retailing during the modernization of China, there is an increasing demand to improve the service quality of supermarkets. The supermarket shuttle service can have a direct impact on extending supermarket access, increasing shared transports, and improving customers' satisfaction. However, it is an open problem to probe the exact locations of potential customers and optimize the route for shuttle service. In this paper, we propose a route planning mechanism for supermarket shuttle service based on exploring the pick-up/drop-off information from large scale taxi GPS traces. Taxi GPS traces can inform us the human mobility patterns related to point of interests. Compared with traditional customer survey to collect information, the proposed approach can provide a more easy-to-deploy, efficient and effective solution. Based on the rich locational information of potential customers, we detect the most suitable bus stops of shuttle and optimize the routes to maximize the benefits for all stakeholders. The experimental results on real-life taxi data demonstrate the applicability as well as effectiveness of the proposed approach and exhibit promising performance of improve the quality of supermarket shuttle service.
Guangfei Yang; Erbiao Yuan; Xiang Zhang; Huiyu Zhou. A route planning mechanism for supermarket shuttle service based on taxi traces. Research in Transportation Business & Management 2020, 38, 100502 .
AMA StyleGuangfei Yang, Erbiao Yuan, Xiang Zhang, Huiyu Zhou. A route planning mechanism for supermarket shuttle service based on taxi traces. Research in Transportation Business & Management. 2020; 38 ():100502.
Chicago/Turabian StyleGuangfei Yang; Erbiao Yuan; Xiang Zhang; Huiyu Zhou. 2020. "A route planning mechanism for supermarket shuttle service based on taxi traces." Research in Transportation Business & Management 38, no. : 100502.
As dockless shared bicycles (DSB) have become more commonplace, disorderly parking behaviour has attracted public concern and infringes upon public spaces in urban areas. The current research explored factors that affect users’ decisions regarding where to park their DSB in order to examine the importance of intrinsic and extrinsic factors suggested to influence parking decisions. Following a literature review and focus group study, a survey instrument measuring social demographics, travel behaviour, parking behaviour, planned behaviour and motivation for prosocial behaviour consisting of 20 items was developed and deployed. Using ordered logit model estimation, users’ intentions for orderly parking of DSB was measured and influential factors enhancing or limiting intention were identified. The lack of a shared definition of ‘orderly parking’ is the most noteworthy factor affecting DSB parking. The empirical findings confirm the significant role played by social norms, reciprocity, communication responsibility and institutional environment in regulating and influencing proper DSB parking behaviour and suggest that these factors may represent a more important aspect to be accounted for than financial incentives.
Yacan Wang; Siqi Jia; Huiyu Zhou; Samuel Charlton; Benjamin Hazen. Factors affecting orderly parking of dockless shared bicycles: an exploratory study. International Journal of Logistics Research and Applications 2020, 24, 103 -125.
AMA StyleYacan Wang, Siqi Jia, Huiyu Zhou, Samuel Charlton, Benjamin Hazen. Factors affecting orderly parking of dockless shared bicycles: an exploratory study. International Journal of Logistics Research and Applications. 2020; 24 (2):103-125.
Chicago/Turabian StyleYacan Wang; Siqi Jia; Huiyu Zhou; Samuel Charlton; Benjamin Hazen. 2020. "Factors affecting orderly parking of dockless shared bicycles: an exploratory study." International Journal of Logistics Research and Applications 24, no. 2: 103-125.
As a new travel model, the bike-sharing system (BSS) solves the ‘last kilometer’ problem and has developed rapidly for its convenience. However, many accompanying problems have emerged. In China, parking violation problems—such as severe traffic congestion—are caused by dock-less shared bikes. Furthermore, a large number of shared bikes have to be scrapped early for vandalism. As a special form of public good, bike-sharing also faces the dilemma of negative externalities. Seeking a solution, Mobike has conducted a credit supervision mechanism, which transfers the users’ different behavior to credits for user behavior regulation, but with unsatisfactory results. The goal of the paper is to test the validity of credit supervision mechanism from user’s perspective to regulate the abuse of sharing bike by simulating the use scenario of BSS in real life in a lab experiment based on induced value theory. The behavioral and pre- and post-experiment survey data were thoroughly analyzed. The results show that, within a negative context, the credit supervision system has a more significant effect on inducing proper user behavior, which improves after adding a real-time feedback mechanism. Finally, we provide effective suggestions to policy makers and shared bike companies for inducing positive user behavior.
Yao Yao; Linwei Liu; Zibin Guo; Ziheng Liu; Huiyu Zhou. Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism. Sustainability 2018, 11, 127 .
AMA StyleYao Yao, Linwei Liu, Zibin Guo, Ziheng Liu, Huiyu Zhou. Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism. Sustainability. 2018; 11 (1):127.
Chicago/Turabian StyleYao Yao; Linwei Liu; Zibin Guo; Ziheng Liu; Huiyu Zhou. 2018. "Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism." Sustainability 11, no. 1: 127.
Severe traffic congestion is now a common problem in major cities worldwide, causing huge economic, environmental, and social losses to overall welfare. Governments are now considering congestion charging as an effective way to manage congestion. However, since congestion charging has not yet been implemented widely, the public remains uncertain about it. Few scholars have explored public uncertainty about congestion charging. This paper examined how the public perceived uncertainty toward fairness and efficiency affects willingness to accept congestion charging. Through an experimental study of stated preference, this paper analyzes the influence of observable variables and unobserved latent variables on public acceptability and compares the results with a traditional discrete choice model. The results indicated that the public’s perceived uncertainty about congestion charging will have significant negative effect on acceptability and that the perception of fairness has an even larger effect. As for uncertainty about the effectiveness of congestion charging on alleviating congestion, the implementation efficiency of the government is the most significant. For uncertainty about fairness, whether charge collection and revenue allocation are reasonable is the most significant. These findings provide an empirical basis for reducing public uncertainty and increasing public acceptance of congestion charging.
Yacan Wang; Yu Wang; Luyao Xie; Huiyu Zhou. Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China. Sustainability 2018, 11, 129 .
AMA StyleYacan Wang, Yu Wang, Luyao Xie, Huiyu Zhou. Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China. Sustainability. 2018; 11 (1):129.
Chicago/Turabian StyleYacan Wang; Yu Wang; Luyao Xie; Huiyu Zhou. 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China." Sustainability 11, no. 1: 129.
With the rapid trend of motorization in metropolis, building a harmonious urban transportation system to ease traffic pressure is a common issue faced by many countries in urban development process. Since urban form has a significant impact on urban transportation, how to build a mutually reinforcing relationship between urban form and urban traffic modes has attracted many interests. As the outcome of urban development, urban agglomeration changes the demographic structure of employment and industry, which prompts the urban morphology changes. Thus, the travel demand becomes increasingly diversified and complicated which bring forth new challenges to urban transportation supply. Similarly, the urban transport will also influence the travel cost, accessibility, therefore affect urban function, land use intensity, population density, and other characteristics of land use in urban morphology. This study will summarize the experiences of urban development and explore the impact of urban form on the urban traffic mode. Great Tokyo Area, as the largest mega-region and urban agglomeration economy in the world so far (Parilla and Trujillo, 2014), has experienced a rapid growth in the twentieth century. As a typical eastern Asia region, Tokyo area has been facing challenges of high population density and traffic pressure, thus undergo massive urban transformation and rapid traffic mode development. The study provides a historical review perspective on great Tokyo area using a large set of data on economic factors, population, land use policies and urban traffic modes. How the urban form transformation interacted with development of traffic mode is investigated and divided to different evolving phases. The associations between urban form and traffic mode are studied in each phase accordingly.
Huiyu Zhou; Hongwei Gao. The impact of urban morphology on urban transportation mode: A case study of Tokyo. Case Studies on Transport Policy 2018, 8, 197 -205.
AMA StyleHuiyu Zhou, Hongwei Gao. The impact of urban morphology on urban transportation mode: A case study of Tokyo. Case Studies on Transport Policy. 2018; 8 (1):197-205.
Chicago/Turabian StyleHuiyu Zhou; Hongwei Gao. 2018. "The impact of urban morphology on urban transportation mode: A case study of Tokyo." Case Studies on Transport Policy 8, no. 1: 197-205.
The rapid development of intelligent transportation systems and the emergence of the sharing economy have given rise to vast amounts of spatiotemporal data. Consequently, spatiotemporal traffic network analysis has become a crucial approach to traffic managers in traffic control, route guidance, traffic policy adjustment, and transportation network planning. This study provides a comprehensive survey of recent developments in spatiotemporal traffic network analysis and reviews the latest research ranging from 2000 to 2016. This paper focuses on overall methods and general characteristics involved in traffic network analysis. First, we introduce some potential applications of spatiotemporal traffic network analysis. Second, we discuss data sources and corresponding pretreatment methods. Then, we investigate various existing methodologies to examine the state of the art in traffic network analysis. At the end of this survey, we provide more detailed discussions on future research challenges and new research points.
Huiyu Zhou; Kotaro Hirasawa. Spatiotemporal traffic network analysis: technology and applications. Knowledge and Information Systems 2018, 60, 25 -61.
AMA StyleHuiyu Zhou, Kotaro Hirasawa. Spatiotemporal traffic network analysis: technology and applications. Knowledge and Information Systems. 2018; 60 (1):25-61.
Chicago/Turabian StyleHuiyu Zhou; Kotaro Hirasawa. 2018. "Spatiotemporal traffic network analysis: technology and applications." Knowledge and Information Systems 60, no. 1: 25-61.
Congestion is a major problem for peak-hour commuters in the Beijing subway system, as it leads to long queuing times and overcrowded vehicles. This paper explores to what extent peak travel can be reduced by providing incentives for peak avoidance. In a stated preference study, travellers’ responses to two financial and two non-financial incentives were measured, and factors increasing or limiting the response were identified. Our results suggest that all four incentives can be reasonably effective tools and the financial incentives seem to have a slightly stronger effect than the services and credit-for-gifts-based scenarios. Ordered logit models indicate that various factors influence people’s receptiveness of incentives for peak avoidance which relate to the ease of change or presence of alternatives and receptiveness to incentives. Both theoretical and policy implications are concluded that the proposed factors and incentive system can help solving the subway congestion in Beijing.
Yacan Wang; Dick Ettema; Huiyu Zhou; Xiangrui Sun. Understanding peak avoidance commuting by subway: an empirical study in Beijing. International Journal of Logistics Research and Applications 2018, 21, 597 -613.
AMA StyleYacan Wang, Dick Ettema, Huiyu Zhou, Xiangrui Sun. Understanding peak avoidance commuting by subway: an empirical study in Beijing. International Journal of Logistics Research and Applications. 2018; 21 (6):597-613.
Chicago/Turabian StyleYacan Wang; Dick Ettema; Huiyu Zhou; Xiangrui Sun. 2018. "Understanding peak avoidance commuting by subway: an empirical study in Beijing." International Journal of Logistics Research and Applications 21, no. 6: 597-613.
This research involves implementation of genetic network programming (GNP) and ant colony optimization (ACO) to solve the sequential rule mining problem for commercial recommendations in time-related transaction databases. Excellent recommender systems should be capable of detecting the customers’ preference in a proactive and efficient manner, which requires exploring customers’ potential needs with an accurate and timely approach. Due to the changing nature of customers’ preferences and the differences with the traditional find-all-then-prune approach, the interesting temporal association rules are extracted by the metaheuristics, genetic algorithms-based method of GNP. Additionally, a useful model is constructed using the obtained rules to forecast future customer needs and an ACO approach to evolve the online recommender system continuously. The methodology is experimentally evaluated in a real-world application by analysing the customer database of an online supermarket.
Huiyu Zhou; Kotaro Hirasawa. Evolving temporal association rules in recommender system. Neural Computing and Applications 2017, 31, 2605 -2619.
AMA StyleHuiyu Zhou, Kotaro Hirasawa. Evolving temporal association rules in recommender system. Neural Computing and Applications. 2017; 31 (7):2605-2619.
Chicago/Turabian StyleHuiyu Zhou; Kotaro Hirasawa. 2017. "Evolving temporal association rules in recommender system." Neural Computing and Applications 31, no. 7: 2605-2619.
With the development of industrial automation, assembly line is widely used in manufacturing system. Assembly line balancing problem directly affects the productivity of the whole manufacturing system. Since equilibrium rate is a quantitative index to evaluate assembly line, the main indexes of the equilibrium in the assembling line are analyzed, and three classifications of assembly line balancing problem are summarized. In the actual situation of assembly process, optimizing a certain goal may cause the neglect of relevance of other goals, so a dual-objective optimization model is proposed. SA algorithm is applied to solve the assembly line balancing problem. The simulation results show the feasibility and availability of the assembly line balancing optimization based on simulated annealing (SA) algorithm..
Xiao-Mei Hu; Jun-Jun Hu; Yu-Bin Wang; Xin-Ran Shi; Huiyu Zhou. A NOVEL ASSEMBLY LINE BALANCING OPTIMIZATION ALGORITHM BASED ON SA. Material Engineering and Mechanical Engineering 2016, 74 -81.
AMA StyleXiao-Mei Hu, Jun-Jun Hu, Yu-Bin Wang, Xin-Ran Shi, Huiyu Zhou. A NOVEL ASSEMBLY LINE BALANCING OPTIMIZATION ALGORITHM BASED ON SA. Material Engineering and Mechanical Engineering. 2016; ():74-81.
Chicago/Turabian StyleXiao-Mei Hu; Jun-Jun Hu; Yu-Bin Wang; Xin-Ran Shi; Huiyu Zhou. 2016. "A NOVEL ASSEMBLY LINE BALANCING OPTIMIZATION ALGORITHM BASED ON SA." Material Engineering and Mechanical Engineering , no. : 74-81.
Damping performance of metal rubber material has been found through a lot of experiments at room temperature, in order to improve the applicable circumstances of metal rubber damper, connect temperature controller with PC, PC as a PC control temperature control system, design and build high temperature experiment system, for experimental research of metal rubber high temperature environment, lay a foundation of high temperature experiment.
Yue-Guang Li; Wei Liang; Yu Wang; Wei-Dong Zhao; Huiyu Zhou. THE ESTABLISHMENT OF THE METAL RUBBER HIGH TEMPERATURE EXPERIMENT ENVIRONMENT. Material Engineering and Mechanical Engineering 2016, 1367 -1376.
AMA StyleYue-Guang Li, Wei Liang, Yu Wang, Wei-Dong Zhao, Huiyu Zhou. THE ESTABLISHMENT OF THE METAL RUBBER HIGH TEMPERATURE EXPERIMENT ENVIRONMENT. Material Engineering and Mechanical Engineering. 2016; ():1367-1376.
Chicago/Turabian StyleYue-Guang Li; Wei Liang; Yu Wang; Wei-Dong Zhao; Huiyu Zhou. 2016. "THE ESTABLISHMENT OF THE METAL RUBBER HIGH TEMPERATURE EXPERIMENT ENVIRONMENT." Material Engineering and Mechanical Engineering , no. : 1367-1376.
Underwater connector as a part of the Christmas tree or underwater oil and gas pipeline, it is mainly used for wellhead manifolds connection and quick repair [1] when Connector at work, In the internal, there is high temperature and high pressure liquid, gas or vapor liquid mixture, external for the low temperature water. So the temperature performance is the core of performance, the test of temperature performance must be done [2]. This paper analyzes the ISO and API standard, it is concluded that the temperature test requirements of underwater connector, and according to the temperature test requirements, designed Temperature test device consisting of The heating unit, refrigeration unit and heat preservation unit, and the temperature test process of underwater connector has carried on the theoretical calculation and Ansys simulation, obtained reliable temperature gradient, and the temperature control difficulty in the process of temperature test are proposed.
Zhi-Gang Li; Yu-Chen Wang; Zhuo Chen; Jun Liu; Yong-Tao Li; Li-Quan Wang; Huiyu Zhou. THE STUDY OF UNDERWATER CONNECTOR TEMPERATURE TEST EQUIPMENT. Material Engineering and Mechanical Engineering 2016, 20 -31.
AMA StyleZhi-Gang Li, Yu-Chen Wang, Zhuo Chen, Jun Liu, Yong-Tao Li, Li-Quan Wang, Huiyu Zhou. THE STUDY OF UNDERWATER CONNECTOR TEMPERATURE TEST EQUIPMENT. Material Engineering and Mechanical Engineering. 2016; ():20-31.
Chicago/Turabian StyleZhi-Gang Li; Yu-Chen Wang; Zhuo Chen; Jun Liu; Yong-Tao Li; Li-Quan Wang; Huiyu Zhou. 2016. "THE STUDY OF UNDERWATER CONNECTOR TEMPERATURE TEST EQUIPMENT." Material Engineering and Mechanical Engineering , no. : 20-31.