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学者姓名：关宏志
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Abstract ：
The resurgence of demand-responsive transit (DRT) has been pushed toward a more sharable and user-friendly mobility service to reshape the urban mobility ecosystem. Nevertheless, to fulfill the swiftly growing diversified and personalized demand, how to depict the cancellation behavior of passengers remains an often overlooked but extremely significant challenge. This paper attempts to discuss the cancellation behavior in the two-phase optimization process. With regard to the unconfirmed reservation cancellation, bounded rationality is incorporated to portray the decision-making process of passengers. Bernoulli random variable is utilized to discuss the stochastic possibility of order cancellation. Simultaneously, a two-phase biobjective model considering the cancellation behavior is constructed to balance the inherent trade-off between passengers and operators. In addition, the algorithm based on multidirectional local search is constructed to achieve the Pareto front for the proposed model. Small-scale experiments in the Nguyen-Dupuis network are illustrated to validate the effectiveness of the algorithm. Subsequently, the Beijing case is further exemplified to evaluate the performance of DRT service considering the cancellation behavior. A reasonable penalty mechanism contributes to ensuring operating profit while substantially diminishing the penalty cost. Therefore, this paper facilitates not only capturing the cancellation behavior of passengers but also developing a more flexible and cost-effective DRT service.
Keyword ：
Demand-responsive transport Demand-responsive transport Bounded rationality Bounded rationality Pareto front Pareto front Cancellation behavior Cancellation behavior Two-phase model Two-phase model
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| GB/T 7714 | Wang, Hongfei , Guan, Hongzhi , Qin, Huanmei et al. Two-Phase Model for Demand-Responsive Transit Considering the Cancellation Behavior of Boundedly Rational Passengers [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2023 , 149 (5) . |
| MLA | Wang, Hongfei et al. "Two-Phase Model for Demand-Responsive Transit Considering the Cancellation Behavior of Boundedly Rational Passengers" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 149 . 5 (2023) . |
| APA | Wang, Hongfei , Guan, Hongzhi , Qin, Huanmei , Li, Wanying , Zhao, Pengfei . Two-Phase Model for Demand-Responsive Transit Considering the Cancellation Behavior of Boundedly Rational Passengers . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2023 , 149 (5) . |
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Abstract ：
Bus passengers' boarding and alighting behavior is important content when researching bus operation efficiency. This paper uses an improved cellular automata (CA) model and introduces four dynamic parameters to study individual behavioral characteristics of bus passengers' boarding and alighting behavior. The research on the relationship between the macro pedestrian flow formed by the interaction between the individual passengers and the stop time of the bus station was realized. Then it was modeled for different situations, and the general update rules of CA were set based on realistic situations. The passenger boarding and alighting behaviors of the No. 245 bus route in Nanchang, China were simulated, and the simulation results of four different door layouts and passenger boarding and alighting modes were compared. It was found that when the passenger loading rate in the bus reaches 65%, the passenger boarding rate has an obvious tendency to slow down; the width of the door has a direct relationship with the passenger alighting efficiency, and the bus stopping time can be reduced by adjusting the width of the alighting door; a strategy which allows passengers board on the bus via the alighting door may effectively reduce the bus stopping time when there are many passengers boarding on the bus. Using strategy four, simulation research found that Bus No. 245 can reduce the stopping time by 40-50% in some station scenarios. Research results show that the CA model has certain practical value and can provide a theoretical reference for public transportation control and management.
Keyword ：
cellular automata cellular automata pedestrian traffic flow pedestrian traffic flow bus load factor bus load factor stopping time stopping time dynamic parametric model dynamic parametric model
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| GB/T 7714 | Xue, Yunqiang , Zhong, Meng , Xue, Luowei et al. Simulation Analysis of Bus Passenger Boarding and Alighting Behavior Based on Cellular Automata [J]. | SUSTAINABILITY , 2022 , 14 (4) . |
| MLA | Xue, Yunqiang et al. "Simulation Analysis of Bus Passenger Boarding and Alighting Behavior Based on Cellular Automata" . | SUSTAINABILITY 14 . 4 (2022) . |
| APA | Xue, Yunqiang , Zhong, Meng , Xue, Luowei , Zhang, Bing , Tu, Haokai , Tan, Caifeng et al. Simulation Analysis of Bus Passenger Boarding and Alighting Behavior Based on Cellular Automata . | SUSTAINABILITY , 2022 , 14 (4) . |
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Abstract ：
汽车共享以其分时租赁、移动便捷支付等优势,逐渐成为可供城市居民选择的中短途自驾出行方式.为了探究汽车共享服务的存在对城市居民购车意愿的影响,以技术接受模型为理论框架,引入政策制度支持和汽车共享服务品质建立了可描述城市居民购车行为意愿的实证模型,并依据受访者居住城市类型及家庭有无购车进行分组,深入探讨各主观因素对城市居民购车意愿的影响方向和程度.实证结果表明:政策制度支持对接受态度的正向促进作用最强烈,接受态度、服务品质会对居民放弃或推迟购车的意愿产生显著促进影响,而感知有用性会产生抑制作用.其中,一线城市群体及未购车群体的购车意愿更容易受到汽车共享服务品质的影响,而非一线城市群体及已购车群体的购车意愿受汽车共享服务感知易用性和政策制度支持的影响更明显.
Keyword ：
结构方程模型 结构方程模型 技术接受模型(TAM) 技术接受模型(TAM) 汽车共享 汽车共享 购车意愿 购车意愿 分时租赁汽车 分时租赁汽车
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| GB/T 7714 | 张荣花 , 关宏志 , 赵磊 et al. 汽车共享背景下城市居民购车意愿影响因素分析 [J]. | 科学技术与工程 , 2021 , 21 (2) : 793-800 . |
| MLA | 张荣花 et al. "汽车共享背景下城市居民购车意愿影响因素分析" . | 科学技术与工程 21 . 2 (2021) : 793-800 . |
| APA | 张荣花 , 关宏志 , 赵磊 , 朱海燕 . 汽车共享背景下城市居民购车意愿影响因素分析 . | 科学技术与工程 , 2021 , 21 (2) , 793-800 . |
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Abstract ：
居住区共享停车场运营策略
Keyword ：
线性规划 线性规划 交通工程 交通工程 车位共享 车位共享 停车时间冲突 停车时间冲突 交通管理与控制 交通管理与控制
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| GB/T 7714 | 关宏志 , 聂楚濠 , 赵鹏飞 et al. 居住区共享停车场运营策略 [J]. | 关宏志 , 2021 , 21 (12) : 5124-5132 . |
| MLA | 关宏志 et al. "居住区共享停车场运营策略" . | 关宏志 21 . 12 (2021) : 5124-5132 . |
| APA | 关宏志 , 聂楚濠 , 赵鹏飞 , 科学技术与工程 . 居住区共享停车场运营策略 . | 关宏志 , 2021 , 21 (12) , 5124-5132 . |
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Abstract ：
汽车共享背景下城市居民购车意愿影响因素分析
Keyword ：
分时租赁汽车 分时租赁汽车 汽车共享 汽车共享 购车意愿 购车意愿 技术接受模型(TAM) 技术接受模型(TAM) 结构方程模型 结构方程模型
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| GB/T 7714 | 张荣花 , 关宏志 , 赵磊 et al. 汽车共享背景下城市居民购车意愿影响因素分析 [J]. | 张荣花 , 2021 , 21 (2) : 793-800 . |
| MLA | 张荣花 et al. "汽车共享背景下城市居民购车意愿影响因素分析" . | 张荣花 21 . 2 (2021) : 793-800 . |
| APA | 张荣花 , 关宏志 , 赵磊 , 朱海燕 , 科学技术与工程 . 汽车共享背景下城市居民购车意愿影响因素分析 . | 张荣花 , 2021 , 21 (2) , 793-800 . |
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Abstract ：
本文在自动驾驶环境下,考虑交通网络中自动驾驶车辆(autonomous vehicles,AVs)的载人和空载状态在路段上相互影响,研究AVs路径选择和停车选择的组合均衡问题.首先,提出自动驾驶环境下考虑停车需求的交通均衡条件,建立网络均衡模型,证明模型的等价性以及解的唯一性;其次,采用网络变换法,将原问题变换为经典的用户均衡问题,使用相继平均法求解模型;最后,通过算例分析停车场费用对均衡的影响.结果表明:随着中心停车场费用的降低,个人总出行成本总体呈下降趋势,且局部路段流量变化幅度大;当中心停车场费用在一定范围内降低时,该停车场的需求量显著上升,其余停车场需求量总体上均有不同程度的下降;当中心停车场费用超出这个范围时,停车费的降低不影响停车选择结果.
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| GB/T 7714 | 刘诗序 , 贺朝阳 , 关宏志 et al. 自动驾驶环境下考虑停车需求的交通均衡模型 [J]. | 贵州大学学报（自然科学版） , 2021 , 38 (4) : 104-111 . |
| MLA | 刘诗序 et al. "自动驾驶环境下考虑停车需求的交通均衡模型" . | 贵州大学学报（自然科学版） 38 . 4 (2021) : 104-111 . |
| APA | 刘诗序 , 贺朝阳 , 关宏志 , 王智煜 , 朱建超 . 自动驾驶环境下考虑停车需求的交通均衡模型 . | 贵州大学学报（自然科学版） , 2021 , 38 (4) , 104-111 . |
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Abstract ：
The shared parking scheme improves the utilization rate of existing parking resources and contributes to the sustainable development of cities, but many private parking spaces that are not included in the shared parking scheme have a low utilization rate in China. In order to better promote the shared parking scheme, it is necessary to study the intention of the owners of private parking spaces to share their parking spaces. Therefore, this paper used the Unified Theory of Acceptance and Use of Technology (UTAUT) and Benefit-Risk Analysis Model (BRA) as the combined theoretical framework (C-UTAUT-BRA). Hypothesis testing using the Multiple Indicators and Multiple Causes (MIMIC) model was performed using an empirical assessment of the shared parking scheme in China. The results show that (1) the sharing behavioral intention (BI) is directly affected by perceived benefit (PB), perceived risk (PR), social influence (SI), and facilitating condition (FC) and indirectly affected by effort expectancy (EE), of which the total effect of PB is the largest; (2) exogenous variables have an indirect effect on BI through other psychological latent variables; among them, different sociodemographic and economic characteristics have a significant influence on different latent variables, while the built environment has no significant effect on latent variables. This research contributes to theory building in shared parking participation intention and informs business and government leaders on how to promote the shared parking scheme through the action mechanism of influencing factors on BI.
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| GB/T 7714 | Wang, Ange , Guan, Hongzhi , Han, Yan et al. Private Parking Space Sharing Intention in China: An Empirical Study Based on the MIMIC Model [J]. | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2021 , 2021 . |
| MLA | Wang, Ange et al. "Private Parking Space Sharing Intention in China: An Empirical Study Based on the MIMIC Model" . | DISCRETE DYNAMICS IN NATURE AND SOCIETY 2021 (2021) . |
| APA | Wang, Ange , Guan, Hongzhi , Han, Yan , Cao, Yangliu . Private Parking Space Sharing Intention in China: An Empirical Study Based on the MIMIC Model . | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2021 , 2021 . |
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Abstract ：
With the help of accurate parking navigation systems, sharing vacant private parking spaces with public travelers may have the potential of reducing the number of cruising vehicles and contribute to traffic emission reduction. However, the quantitative effects of such a measure are still relatively unknown in traffic management. In this article, we firstly established an optimal allocation model of shared parking spaces, which is a pure integer linear programming model of maximizing the number of served public vehicles to avoid cruising for parking. Further, the parking space allocation model was expanded to an estimation model that quantifies the effect of emission reduction. Secondly, a branch-and-cut algorithm was introduced as the core algorithm to solve the proposed models. Finally, detailed sensitivity analysis, based on empirical data collected by electronic parking toll collections and questionnaire surveys in Beijing, China, evaluated the proposed model and algorithm. The results indicate that shared parking can not only effectively reduce the cruising time and the number of vehicles, but also has significantly a positive effect on emission reduction. This research is helpful to provide theoretical support for alleviating parking pressure and environmental problems.
Keyword ：
pure integer linear programming model pure integer linear programming model branch-and-cut algorithm branch-and-cut algorithm optimal parking space allocation optimal parking space allocation shared parking shared parking Potential emission reduction Potential emission reduction
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| GB/T 7714 | Zhao, Pengfei , Guan, Hongzhi , Wang, Pengfei et al. Evaluation of Environmental Benefits Caused by Reservation-Based Shared Parking: A Case Study of Beijing, China [J]. | IEEE ACCESS , 2021 , 9 : 3744-3751 . |
| MLA | Zhao, Pengfei et al. "Evaluation of Environmental Benefits Caused by Reservation-Based Shared Parking: A Case Study of Beijing, China" . | IEEE ACCESS 9 (2021) : 3744-3751 . |
| APA | Zhao, Pengfei , Guan, Hongzhi , Wang, Pengfei , Yan, Hai . Evaluation of Environmental Benefits Caused by Reservation-Based Shared Parking: A Case Study of Beijing, China . | IEEE ACCESS , 2021 , 9 , 3744-3751 . |
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Abstract ：
The implementation of shared parking program can effectively increase the utilization rate of existing parking space resources. At present, shared parking program has not been widely practiced in China, and the prerequisite for this prospect to be implemented is whether the private parking space owner group can quickly and widely accept shared parking program. In this study, considering the differences in the economic development, urban planning, and parking pressure in cities of different levels, the theory of planned behavior and the benefit-risk perception model (C-TPB-BRA) are combined as the theoretical framework to explore the intention to share parking space from the perspective of the owners of private parking spaces in cities of different levels. Based on China's empirical data, structural equation models are built to verify the hypotheses proposed. Our results show that (a) the intention of private parking space owners in different levels of cities to participate in shared parking and the mechanism of action of the psychological factors are different, and not all psychological factors have a direct impact on the intention to share. In first-tier, second-tier, and third-tier cities, Subjective Norm (SN) and Perceived Behavioral Control (PBC) indirectly affect Behavior Intention (BI) through Attitude (ATT), Perceived Benefit (PB), and Perceived Risk (PR). In the fourth-tier cities, SN and PBC directly affect BI. Except for BI, other psychological factors influence each other significantly; (b) the psychological factors affecting the intention to supply shared parking spaces in first-tier, second-tier, third-tier, and fourth-tier cities, respectively, are PB > ATT > PR, PB > PR > ATT, PB > PR > ATT, and PB > SN > PBC > ATT > PR. Our research results could help determine the internal factors that affect the intention of parking space suppliers and their mechanisms of action to participate in shared parking, and on that basis, our findings could also help governments and platform operators to promote shared parking development plans.
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| GB/T 7714 | Wang, Ange , Guan, Hongzhi , Qin, Zhengtao et al. Study on the Intention of Private Parking Space Owners of Different Levels of Cities to Participate in Shared Parking in China [J]. | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2021 , 2021 . |
| MLA | Wang, Ange et al. "Study on the Intention of Private Parking Space Owners of Different Levels of Cities to Participate in Shared Parking in China" . | DISCRETE DYNAMICS IN NATURE AND SOCIETY 2021 (2021) . |
| APA | Wang, Ange , Guan, Hongzhi , Qin, Zhengtao , Zhu, Junze . Study on the Intention of Private Parking Space Owners of Different Levels of Cities to Participate in Shared Parking in China . | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2021 , 2021 . |
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Abstract ：
This paper aims to deeply analyze the regularity of residents' daily activity-travel behaviors to help traffic management departments predict travel demand and evaluate transportation policies. Taking time use data in American as empirical analysis, the influencing factors such as residents' activity pattern, duration and competition were discussed and analyzed based on the competing risk model. Results can be concluded that: a) people feel happy and meaningful during most of the activities, while they feel sad or pain in relatively rare occasions; b) there is no significant difference between young people and the elderly as for the total number of activities during one day; c) estimation results show that personal, household and activity characteristics have significant influence on activity duration and pattern, and the pattern of last activity (N) has a great influence on the occurrence of next activity (N+1); d) the competition between residents' daily activities is confirmed based on the competing risk model, and travel is closely related to various activities and can be seen as the derived demand of various activities. In all combinations of activity-travel chain schedule, personal - household (30.0%), household - recreation (25.9%), work - travel (45.2%), purchase - travel (33.7%), recreation - travel (22.5%), volunteer - travel (55.3%) and travel - purchase (28.4%) have the highest proportion respectively.
Keyword ：
Activity duration Activity duration Competing risk model Competing risk model Survival analysis Survival analysis Activity-travel behavior Activity-travel behavior Time allocation Time allocation
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| GB/T 7714 | Li, Wanying , Guan, Hongzhi , Han, Yan et al. Exploring Resident's Daily Activity-Travel Behavior: Activity Pattern, Duration and Competition [J]. | KSCE JOURNAL OF CIVIL ENGINEERING , 2021 , 25 (8) : 3121-3135 . |
| MLA | Li, Wanying et al. "Exploring Resident's Daily Activity-Travel Behavior: Activity Pattern, Duration and Competition" . | KSCE JOURNAL OF CIVIL ENGINEERING 25 . 8 (2021) : 3121-3135 . |
| APA | Li, Wanying , Guan, Hongzhi , Han, Yan , Zhu, Haiyan , Zhao, Pengfei . Exploring Resident's Daily Activity-Travel Behavior: Activity Pattern, Duration and Competition . | KSCE JOURNAL OF CIVIL ENGINEERING , 2021 , 25 (8) , 3121-3135 . |
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