December 2024
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Publications (42)
October 2024
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30 Reads
European Journal of Transport and Infrastructure Research
As more and more large-scale winter events are held in different areas, a reasonable configuration of service facilities is crucial for ensuring the successful execution of these events. Based on an analysis of the passenger flow for large-scale events in outer suburbs, this study has developed a dynamic evolution model to well simulate passenger arrival distribution among nodes and queue performance over time. Subsequently, an optimization model for service facility configuration based on node linkage is proposed. Using a large-scale winter event as a case study, we conclude that assigning a higher objective weight to spectators’ queuing time cost in the optimization model leads to an increase in the number of configured service facilities among nodes, thereby enhancing service quality. Different facility layouts for security checks and ticket checks have no significant effects on the optimal number of configured service facilities and spectator queuing time costs. However, implementing a remote security check can alleviate passenger congestion at downstream nodes and reduce the overall queuing time cost. The dynamic evolution model and the service facilities configuration model are suitable for coordinating passenger flow under limited-service facility provision along with measures such as adjusting facility layouts and controlling passenger flow. Thus, a good match between passenger flow distribution and facility service capacity can be achieved. The research conclusions can provide a reference for the analysis of passenger flow, service facility configuration, and passenger flow organization for large-scale events held in the outer suburbs.
October 2024
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13 Reads
Journal of Cleaner Production
August 2024
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82 Reads
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1 Citation
Transportation
With the rapid development of autonomous driving technology and the sharing economy, autonomous driving has significant potential to offer a broader range of travel choices for travelers. To explore different commuters’ autonomous vehicles—related behavioral decisions and choice preference, this study designed a personalized travel experience survey and established travel choice models incorporating individual perceptions and attitudes for two groups. It was found that commuters’ perceptions of autonomous vehicles were significantly improved by travel experience. Travel time is the most concerned factor in travel mode choice for private car commuters, while travel cost is the most important factor for public transport commuters. Therefore, enhancing operational efficiency and reducing the energy consumption of autonomous vehicles could effectively encourage commuters to adopt new travel modes. Improving travelers’ travel experiences and positive attitudes towards using autonomous vehicles is conducive to the adoption of private autonomous vehicles by private car commuters and the choice of shared autonomous vehicles by public transport users. By promoting people’s acceptance of ride-sharing and awareness of its benefits through user experience, publicity, and guidance, a substantial increase in the adoption of shared autonomous vehicles can be achieved among both commuter groups. Suitable thresholds for crucial factors, including travel time and cost, perception, and attitudes towards ride-sharing, were determined for both groups to facilitate their mode transfer among traditional travel modes and autonomous vehicles. The research findings can provide a reference for anticipating travel demand and guiding the formulation of transport policies for future transportation systems.
March 2024
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17 Reads
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1 Citation
Transportation Research Record Journal of the Transportation Research Board
Demand-responsive transit (DRT) with smartphone-based applications is emerging as a flexible and sustainable mobility service, transforming urban transportation. Nevertheless, to satisfy the real-time and inconsistent demand, it is becoming increasingly important to capture the decision-making psychology of order cancellations. In this study, a two-phase optimization framework is presented in response to real-time disruptions, including order cancellations and the insertion of new real-time passengers. In contrast to random real-time demand, this paper is more concerned about the impacts of the feedback information on order cancellations. Bounded rationality is incorporated into the model to discuss the decision-making process of cancellation behaviors. With regard to the soft window, a compensation strategy is proposed to promote the profit while encouraging passengers for a long-term use. Additionally, solution algorithm based on variable neighborhood search (VNS) and rolling horizon is constructed to approach the Pareto solutions set. To testify the validity of the proposed algorithm, small-scale experiments in simplified Sioux Falls network are investigated for multiple runs. Meanwhile, a real-world case study in Beijing is explored to evaluate the system performance considering real-time disruptions. The results indicate that the dynamic DRT service can substantially improve the system profit but increase the penalty cost. The profit presents a significant improvement to 940 (renminbi) RMB as a result of the insert of real-time passengers. This study, therefore, not only provides a deeper insight into the analysis of passenger cancellation behavior but also contributes to construct a more flexible DRT service.
March 2024
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30 Reads
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1 Citation
Energy
August 2023
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7 Reads
August 2023
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6 Reads
August 2023
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7 Reads
June 2023
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28 Reads
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3 Citations
Journal of Urban Planning and Development
Citations (22)
... Complex economic interactions and potential financial impacts under various market scenarios are modeled by DRL, allowing for the development of robust strategies that balance economic viability with environmental sustainability [28]. This modeling includes the strategic integration of DRPs, which are optimized to shift energy usage to off-peak times, thus balancing the grid and reducing costs [29]. ...
- Citing Article
March 2024
Energy
... SP surveys, on the other hand, involve presenting respondents with hypothetical travel scenarios and requesting that they express their preferences or expected behavior in various circumstances (Fujiwara et al., 2023;Rudloff and Straub, 2021). Researchers have used SP surveys to look into things like how people might use self-driving cars (Azizi Soldouz et al., 2023;Moreno et al., 2018;Qin et al., 2023), how much they value time saved while traveling (Cherry et al., 2023;Miguel Figueroa-Medina et al., 2022), and how congestion pricing affects the choice of transportation modes Li et al., 2023;. Stated preference (SP) surveys enable researchers to manipulate the characteristics of hypothetical situations and determine the relative significance of various elements in influencing travel behavior. ...
- Citing Article
June 2023
Journal of Urban Planning and Development
... In a study analyzing parking policies in 12 cities on five continents, it becomes clear that parking problems are similar everywhere; however, urban planners frequency, while the most critical factors are determined as the parking cost, parking search time, parking duration, and walking time between the parking spot and the final destination [14]. A study conducted in China found that individuals pay more attention to the walking distance after parking, driving time, and parking price when making their parking choices [29]. Moreover, a study in Israel showed that drivers who park for long durations are less likely to change their behavior in response to parking restriction policies [27]. ...
- Citing Article
- Full-text available
April 2023
... Current studies focus on the following two aspects: independent bridging bus scheduling and combined bridging bus scheduling [9]. The former studies have assumed that buses circulate back and forth along interrupted sections [10], and that the vehicle travel routes are fixed [11], a bus can only run on a specific route and is not allowed to run across routes [12]. ...
- Citing Article
- Full-text available
March 2023
... Based on (Hao et al. 2019) research, a dynamic pricing system for shared parking can increase space utilization and occupancy rates 60 − 80% , promoting sustainable urban transportation. Qin et al. (2022) also recommends a target occupancy rate of 60 − 80% and price adjustments of 2 Yuan per hour to balance effectiveness and operating costs. Vuchic (2017) analyzed impact of parking pricing in regulating the dynamic traffic demands and shown that a typical car trip pays a parking fee of more than $5 on average and 70% of the direct total travel cost. ...
- Citing Article
- Full-text available
January 2022
IEEE Access
... Recent studies such as Alomrani et al. (2023) proposed graphbased bipartite optimization for real-time dispatching, improving matching efficiency, but without differentiating service levels between passengers [29]. Wang et al. (2022) simulated soft time windows and compensation policies to examine service differentiation, but implemented these within a fixed optimization context, limiting reusability across alternative strategies or geographic contexts [30]. Table 1 offers a comparative summary of these representative works. ...
- Citing Article
- Full-text available
May 2022
... Scalability extends beyond physical or digital realms to intellectual domains, as seen in [22], where systems discern management policy weaknesses and suggest improvements. Similarly, [23] proposes solutions for potential parking issues in On-street systems, adaptable to standard smart parking systems. ...
- Citing Article
- Publisher preview available
February 2021
... The main contributions of this study are as follows: on the one hand, there are few studies on mechanical parking planning. Some studies have analyzed the internal organization, control strategy, site selection and cost, mechanical structure [7][8][9][10][11][12], and the design of the device and intelligent system optimization of the single facilities, while there is a lack of regional planning studies that provide theoretical and practical support for the spatial layout planning of mechanical parking. On the other hand, very few studies have addressed the relationship between car parks and the built environment, especially mechanical parking lots, and there is a lack of analysis of the impact of factors. ...
- Citing Article
August 2020
Transportation Planning and Technology
... Research on individual decision-making processes is fundamental to discovering macroscopic behavioral rules in travel mode selection. Qin et al. [30] designed a behavioral experiment with a process-tracing method to obtain data on repeated travel mode choices under different contexts. A stochastic and dynamic model based on Decision Space Theory has been proven to be reliable and is used to reproduce and analyze the repeated decision-making processes. ...
- Citing Article
April 2019
Transport Policy
... The conclusions drawn by the authors was that time headway is a measure of potential risk, i.e., short time headway could be maintained without a crash; whereas, TTC measures impending risk, i.e., a short TTC will result in a crash (Bella et al., 2014). Ben-Yaacov, Maltz, & Shinar, 2002;Fu, Gasper, & Kim, 2013;Li, Xing, Wang, & Dong, 2017;Maltz et al., 1899;Mamdoohi et al., 2014;Navarro et al., 2018;Ni, Kang, & Andersen, 2010;Peng, Lu, He, & Gu, 2017;Risto & Martens, 2014;Rosey et al., 2017;Tscharn, Naujoks, & Neukum, 2018;Vogel, 2003 Economou et al., 2020;Fitch et al., 2014;Fleming et al., 2019;Gao et al., 2020;Ha, Kang, & Park, 2003;Hogema & Van Der Horst, 1997;Jamson et al., 2005;Kaber, Liang, Zhang, Rogers, & Gangakhedkar, 2012;Lansdown, 2019;McGehee et al., 1994;Morris & Pilcher, 2016;Pampel et al., 2015;Pantangi et al., 2020;Probst, Brandt, & Degner, 1986;Qin, Yang, & Zheng, 2018;Rakauskas et al., 2008;Risto & Martens, 2013;Rudin-Brown, 2006;Seacrist et al., 2018;Shangguan, Wang, Liu, & Wang, 2019;Shino, Kamata, Nagai, Michitsuji, & Mora, 2008;Wang et al., 2011;Yang, Wong, & McDonald, 2015;Ye & Zhang, 2009;Zheng, Zhu, He, He, & Liu, 2019;Zokaei et al., 2020 Total 110 ...
- Citing Conference Paper
January 2018