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学者姓名：关宏志
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Abstract ：
This paper investigates the latent classes of parking preference for drivers and the economic effects after implementing Parking Space Comprehensive Utilization (PSC) in traditional business districts (TBD), with a particular focus on the parking preferences of electric vehicle users (EVU). Firstly, Exploratory Factor Analysis (EFA) is used to reduce dimensionality and determine the latent structure. Then, based on the Latent Class Model (LCM), the customers are classified, and the proportion of each class under various latent variables is analyzed. Finally, the paper conducts a quantitative analysis of economic effects by considering different psychological factors across different customer classes. With the data obtained from revealed preference (RP) and stated preference (SP) surveys, this paper identifies the customers' preferences for the three scenarios presented. The results show that (1) customers can be classified into four classes: core customers (CCS, 34%), potential customers (PCS, 29%), regular customers (RCS, 22%), and marginal customers (MCS, 15%), among which EVU do not show a significant preference for parking charging facilities in TBD; (2) the potential economic improvements for these four classes are: 9%, 12%, 8%, and 10%; (3) CCS has the greatest potential to increase store revenue by yen 7041, while PCS has the greatest potential to increase store customer flow by 31%. These findings provide a valuable reference for decision-making by TBD store managers.
Keyword ：
latent class model latent class model hidden cost psychology hidden cost psychology potential economy potential economy shared parking shared parking traditional business district traditional business district
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| GB/T 7714 | Guo, Jun , Guan, Hongzhi , Han, Yan et al. Analysis of the Potential Economic Impact of Parking Space Comprehensive Utilization on Traditional Business District [J]. | SUSTAINABILITY , 2024 , 16 (1) . |
| MLA | Guo, Jun et al. "Analysis of the Potential Economic Impact of Parking Space Comprehensive Utilization on Traditional Business District" . | SUSTAINABILITY 16 . 1 (2024) . |
| APA | Guo, Jun , Guan, Hongzhi , Han, Yan , Xue, Yunqiang , Ahn, Hyunchul . Analysis of the Potential Economic Impact of Parking Space Comprehensive Utilization on Traditional Business District . | SUSTAINABILITY , 2024 , 16 (1) . |
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Abstract ：
The primary objective of this paper is to minimize the overall travel costs for passengers while simultaneously maximizing the operational revenue for the transportation company. This is achieved through the optimization and adjustment of various factors, such as the intervals between regular bus and subway services, the duration of vehicle stops at each station, and the pricing structure for subway and shared bicycle usage. By enhancing the efficiency of passenger travel, we have successfully bolstered the company's operational profits. In contrast to prior research, this paper comprehensively considers the dual uncertainties associated with both bus operations and shared bicycle operations within a cooperative system. By establishing a coordinated dual-level optimization model for regular bus, subway, and bike-sharing networks under dual uncertainty conditions, we employed convex combination techniques to unify the dual uncertain variables into a single objective, which was then incorporated into a chance-constrained bilevel programming model. Ultimately, we utilized KKT conditions to transform the model from a bilevel to a single level for resolution. This paper centers its research on the collaborative system comprising the Nanchang Metro Line 1, Bus Route 520, Bus Route 211, and the adjacent region hosting a cluster of shared bicycles. By leveraging Python programming, optimization models, empirical data on traffic flow and stoppage times, and OD data, we conducted an optimization analysis to solve the problem at hand. According to the optimization results, passenger waiting time, passenger transfer time, and passenger on board time are effectively reduced by 6.81%, 18.29%, and 23.92%. At a confidence level of 95%, the resulting time level results in a 12.44% reduction in total travel time. The average subway fare increased by 18.12%, the average shared bicycle fare decreased by 19.12%, and the total cost of travel expenses increased by 16.68%. The final total cost of travel was reduced by 4.06%, and the business operating income was increased by 13.10%. The comprehensive optimization results have effectively fulfilled the objectives of the bilevel optimization model, thereby confirming the rationality and practicality of the optimization approach. The research outcomes hold significant practical implications for facilitating the efficient and cooperative development of urban transportation networks, ultimately enhancing the convenience of residents' travel experiences.
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| GB/T 7714 | Xue, Yunqiang , He, Tong , Li, Tao et al. Bilevel Optimization of Regular Bus-Subway-Shared Bicycle Cooperative Operation considering Dual Uncertainties [J]. | JOURNAL OF ADVANCED TRANSPORTATION , 2024 , 2024 . |
| MLA | Xue, Yunqiang et al. "Bilevel Optimization of Regular Bus-Subway-Shared Bicycle Cooperative Operation considering Dual Uncertainties" . | JOURNAL OF ADVANCED TRANSPORTATION 2024 (2024) . |
| APA | Xue, Yunqiang , He, Tong , Li, Tao , Guan, Hongzhi , Qiu, Yang . Bilevel Optimization of Regular Bus-Subway-Shared Bicycle Cooperative Operation considering Dual Uncertainties . | JOURNAL OF ADVANCED TRANSPORTATION , 2024 , 2024 . |
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Abstract ：
In the context of aging, community has become the main activity place for the elderly, and their daily travel is closely related to their health. This paper aims to understand the overall travel and activity characteristics, health level of the elderly with different attributes in the old residential areas, the relationship between travel conditions and health level, the difficulties faced by daily travel and suggestions to improve the travel environment and health level of the elderly. Three old residential areas in Chaoyang District, Beijing were selected to investigate 15 elderly people on their daily travel, activities and health in the form of observation, questionnaire and interview. The survey results show that the daily travel modes of the elderly mainly include walking, cycling and public transportation. About 1 / 3 of the elderly need auxiliary tools. About 80% of the elderly suffer from diseases and 20% of the elderly have normal body mass index(BMI). The self-rated mental health (MSH) of the elderly is the best. The relationship between the average activity duration of the elderly and their health level under different travel conditions is mainly shown as follows: with the increase of travel time per trip, the outdoor activity duration of the elderly shows a trend of "first increase and then decrease", the number of diseases decreases, and the average BMI fluctuate. The next step is to expand the research scope and explore the travel and health status of the elderly in different community types, so as to provide basis for improving the travel environment and the health of the elderly.
Keyword ：
Health Health Travel Condition Travel Condition Elderly Elderly Old Residential Areas Old Residential Areas
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| GB/T 7714 | Liang, Weiwei , Guan, Hongzhi . Investigation and Analysis on Travel and Health of the Elderly in the Old Residential Areas in Beijing [J]. | INTERNATIONAL REVIEW FOR SPATIAL PLANNING AND SUSTAINABLE DEVELOPMENT , 2023 , 11 (1) : 85-103 . |
| MLA | Liang, Weiwei et al. "Investigation and Analysis on Travel and Health of the Elderly in the Old Residential Areas in Beijing" . | INTERNATIONAL REVIEW FOR SPATIAL PLANNING AND SUSTAINABLE DEVELOPMENT 11 . 1 (2023) : 85-103 . |
| APA | Liang, Weiwei , Guan, Hongzhi . Investigation and Analysis on Travel and Health of the Elderly in the Old Residential Areas in Beijing . | INTERNATIONAL REVIEW FOR SPATIAL PLANNING AND SUSTAINABLE DEVELOPMENT , 2023 , 11 (1) , 85-103 . |
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Abstract ：
In order to optimize the bus departure time considering uncertain factors, this paper constructed an uncertain bi-level programming model for departure frequency and scheduling of a bus line. The uncertainty of passenger arrival and bus operation time were taken into account, combined with actual operation conditions. Nanchang 207 bus line was taken as an example to optimize the departure frequency and scheduling in the morning peak hour. The optimal departure frequency in the morning peak hour is 12 times. The overall index value of the route's non-uniform scheduling during peak hours increased by 0.06 and 9.23% compared with uniform scheduling. The analysis results show that the effect of the non-uniform scheduling is obvious. The issue of bus line departure frequency and scheduling has a positive effect on improving the efficiency of public transportation, reducing operating costs and promoting the sustainable development of the public transportation system. This paper provides a theoretical support for bus operators to optimize route operations.
Keyword ：
departure time departure time uncertain bi-level programming model uncertain bi-level programming model regular bus regular bus uncertainty theory uncertainty theory
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| GB/T 7714 | Xue, Yunqiang , Cheng, Lin , Jiang, Haoran et al. The Optimization of Bus Departure Time Based on Uncertainty Theory-Taking No. 207 Bus Line of Nanchang City, China, as an Example [J]. | SUSTAINABILITY , 2023 , 15 (8) . |
| MLA | Xue, Yunqiang et al. "The Optimization of Bus Departure Time Based on Uncertainty Theory-Taking No. 207 Bus Line of Nanchang City, China, as an Example" . | SUSTAINABILITY 15 . 8 (2023) . |
| APA | Xue, Yunqiang , Cheng, Lin , Jiang, Haoran , Guo, Jun , Guan, Hongzhi . The Optimization of Bus Departure Time Based on Uncertainty Theory-Taking No. 207 Bus Line of Nanchang City, China, as an Example . | SUSTAINABILITY , 2023 , 15 (8) . |
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Abstract ：
Demand responsive transit (DRT) service is reemerging as a flexible and sharable strategy to mitigate the ever-growing car ownership and environmental pollution. Nevertheless, encouraging passengers to accept spatiotemporal aggregation remains an often-overlooked but critical problem. In this paper, two strategies for aggregating passenger demand are proposed to improve the performance of the DRT system. The discount incentive mechanism is to induce passengers toward long-term use. A solution approach based on variable neighborhood descent is developed to accelerate the computational performance and enhance the solution quality. In addition, a Beijing case study offers support for the impact of spatiotemporal aggregation strategies on DRT system. The results reveal that two strategies drastically improve the profit while reducing the average fare. Therefore, spatiotemporal aggregation strategies with a discount as an incentive facilitate constructing a flexible DRT service.
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| GB/T 7714 | Wang, Hongfei , Guan, Hongzhi , Qin, Huanmei . Spatiotemporal Aggregation Strategies with Discount as an Incentive for Demand Responsive Transit [J]. | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 : 482-491 . |
| MLA | Wang, Hongfei et al. "Spatiotemporal Aggregation Strategies with Discount as an Incentive for Demand Responsive Transit" . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION (2023) : 482-491 . |
| APA | Wang, Hongfei , Guan, Hongzhi , Qin, Huanmei . Spatiotemporal Aggregation Strategies with Discount as an Incentive for Demand Responsive Transit . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 , 482-491 . |
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Abstract ：
In order to improve bus service level after installing exclusive bus lanes, this paper evaluates the satisfaction of bus service using based on the collected data in Xining City. First, considering passengers' needs, a satisfaction evaluation system is constructed from four aspects of comfort, convenience, reliability, and security, and an evaluation model of entropy weight method is established. Second, combined with the field survey data, the weight of each index was determined, and the satisfaction evaluation result of each index was calculated. The overall satisfaction of bus lanes was 3.78, which was between "general satisfaction" and "satisfaction." Finally, impacts of personal attributes, travel attributes, and other variables on satisfaction were analyzed. The results show that comfort and reliability are the focus of travelers, intersection delays and epidemic causes have a great impact on public satisfaction, and the level of public transport service needs to be further improved.
Keyword ：
service level service level exclusive bus lane exclusive bus lane entropy weight method entropy weight method satisfaction satisfaction city bus city bus
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| GB/T 7714 | Zhu, Haiyan , Guan, Hong-Zhi , Ma, Hou-Qiang . Study on the Evaluation of Bus Satisfaction in Exclusive Bus Lane Environment Based on Entropy Weight Method [J]. | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 : 2067-2077 . |
| MLA | Zhu, Haiyan et al. "Study on the Evaluation of Bus Satisfaction in Exclusive Bus Lane Environment Based on Entropy Weight Method" . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION (2023) : 2067-2077 . |
| APA | Zhu, Haiyan , Guan, Hong-Zhi , Ma, Hou-Qiang . Study on the Evaluation of Bus Satisfaction in Exclusive Bus Lane Environment Based on Entropy Weight Method . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 , 2067-2077 . |
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With the rapid growth of urban motor vehicle ownership, parking difficulties and increased carbon emissions have emerged in many cities. Parking is an important part of the transportation system, and reducing carbon emissions during the parking process has become an important topic. This paper focuses on reducing carbon emissions in the parking process and aims to propose a parking space arrangement method which considering lower carbon emissions. First the size and number of parking spaces of different parking methods are studied, and the carbon emissions generated by different parking processes are analyzed. For nine different parking space layouts, the number of parking spaces and carbon emissions were calculated. The results show that the combined parking space can achieve the optimal balance between parking space and carbon emissions.
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| GB/T 7714 | Ma, Bochang , Guan, Hongzhi , Cao, Yangliu et al. Lower Carbon Emissions or More Parking Spaces? A Study on the Design of Low Carbon Parking Lot [J]. | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 : 111-122 . |
| MLA | Ma, Bochang et al. "Lower Carbon Emissions or More Parking Spaces? A Study on the Design of Low Carbon Parking Lot" . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION (2023) : 111-122 . |
| APA | Ma, Bochang , Guan, Hongzhi , Cao, Yangliu , Miao, Hao . Lower Carbon Emissions or More Parking Spaces? A Study on the Design of Low Carbon Parking Lot . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 , 111-122 . |
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To investigate citizens' participation behavior in the lottery under the influence of the license plate lottery policy (LPLP) and to guide them to participate in the lottery rationally, this paper, based on social psychology and combined with the theory of planned behavior, divides citizens into citizens with cars in their households and citizens without cars in their households. This study then separately constructs structural equation models, sets perceived car necessity (PCN), perceived behavioral control (PBC), attitude toward car ownership (ATT), and subjective norms (SN), respectively. These four psychological latent variables were used to analyze the participation behavior of different categories of citizens in the car lottery from the perspective of psychological factors. Our empirical study found that there are significant differences in age and the number of people living together. The mechanism of their intention to participate in the car lottery and the psychological factors are different. The psychological factors affecting the intention of people with a car and people without a car to participate in the car lottery are SN > ATT > PCN > PBC and ATT > SN > PBC, respectively. Our research results can help to identify the internal factors and mechanisms that influence citizens' intention to participate in the car lottery and help government administrators to optimize the LPLP.
Keyword ：
license plate lottery license plate lottery Amos Amos vehicle purchase restriction policy vehicle purchase restriction policy structural equation model structural equation model theory of planned behavior theory of planned behavior psychological factor psychological factor
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| GB/T 7714 | Zhu, Junze , Guan, Hongzhi , Yan, Hai et al. Social Psychology and the Willingness of Different Citizens to Participate in a Car Lottery [J]. | SUSTAINABILITY , 2022 , 14 (2) . |
| MLA | Zhu, Junze et al. "Social Psychology and the Willingness of Different Citizens to Participate in a Car Lottery" . | SUSTAINABILITY 14 . 2 (2022) . |
| APA | Zhu, Junze , Guan, Hongzhi , Yan, Hai , Wang, Hongfei . Social Psychology and the Willingness of Different Citizens to Participate in a Car Lottery . | SUSTAINABILITY , 2022 , 14 (2) . |
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The rapid development of intelligent transportation systems and high-speed railways has shortened the waiting time of passengers and the demand for waiting areas. Large-scale stations not only increase the difficulty for passengers when traveling but also waste a great deal of land resources and construction funds. Therefore, this research analyzes passenger waiting area demand according to the characteristics of urban development, passenger travel characteristics and station departure passenger flow. This paper establishes a prediction model for the number of passengers spending time in the waiting room, taking into account passenger traffic and train departure timetables. We used Beijing South Railway Station, Xi'an North Railway Station, Hefei South Railway Station and Zhoukou East Railway Station as examples to predict the numbers of passengers spending time in waiting rooms of different types and scales of station. Research results show that shortening the length of passengers' early arrival times can effectively reduce the number of passengers gathered in medium-sized stations, which are located in new first-tier cities. Under the influence of the urban traffic environment and passenger flow, the uncertainties regarding travel time and passenger flow in first-tier cities are lower than those in new first-tier cities and higher than those in third-tier and fourth-tier cities. Therefore, the waiting area demand of passengers departing from medium-sized stations in new first-tier cities is lower than that of passengers from large stations in first-tier cities, and higher than that of passengers from small stations in third-tier and fourth-tier cities.
Keyword ：
passenger waiting area demand passenger waiting area demand maximum number of passengers spending time in station waiting rooms maximum number of passengers spending time in station waiting rooms passenger arrival habits passenger arrival habits
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| GB/T 7714 | Cao, Yangliu , Guan, Hongzhi , Li, Tao et al. Research on a Prediction Method for Passenger Waiting-Area Demand in High-Speed Railway Stations [J]. | SUSTAINABILITY , 2022 , 14 (3) . |
| MLA | Cao, Yangliu et al. "Research on a Prediction Method for Passenger Waiting-Area Demand in High-Speed Railway Stations" . | SUSTAINABILITY 14 . 3 (2022) . |
| APA | Cao, Yangliu , Guan, Hongzhi , Li, Tao , Han, Yan , Zhu, Junze . Research on a Prediction Method for Passenger Waiting-Area Demand in High-Speed Railway Stations . | SUSTAINABILITY , 2022 , 14 (3) . |
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Abstract ：
Based on uncertainty theory, this paper proposed a vehicle scheduling method considering the dynamic departure interval and vehicle configuration of electric buses (EBs). An uncertain bi-level programming model (UBPM) is established, which takes the total cost of passenger travel (CP) as the upper and total cost of EBs (CB) as the lower. A chance constrained programming model (CCPM) based on the randomness of passenger waiting time and the uncertainty of interstation running time is proposed as the upper model. With a certain confidence level of service level as constraints, the goal is to minimize the total cost of passenger travel. Then, an expected value model (EVM) based on the fluctuation of energy consumption is proposed as the lower model. Taking the number of EBs as the constraint condition, the goal was to minimize the energy consumption of EBs. Finally, a practical bus route is taken as an example to verify the effectiveness of the proposed method. The results demonstrated that the optimal scheduling plan considering the uncertain variables can reduce the passenger travel cost. Collaborative optimization of EBs vehicle configuration can reduce energy consumption, delay, and the number of EBs.
Keyword ：
Electric buses Electric buses timetable optimization timetable optimization bi-level programming bi-level programming uncertainty theory uncertainty theory vehicle configuration vehicle configuration
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| GB/T 7714 | Guo, Jun , Xue, Yunqiang , Guan, HongZhi . Research on the combinatorial optimization of EBs departure interval and vehicle configuration based on uncertain bi-level programming [J]. | TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH , 2022 , 15 (7) : 623-633 . |
| MLA | Guo, Jun et al. "Research on the combinatorial optimization of EBs departure interval and vehicle configuration based on uncertain bi-level programming" . | TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH 15 . 7 (2022) : 623-633 . |
| APA | Guo, Jun , Xue, Yunqiang , Guan, HongZhi . Research on the combinatorial optimization of EBs departure interval and vehicle configuration based on uncertain bi-level programming . | TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH , 2022 , 15 (7) , 623-633 . |
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