Optimal Configuration of the Metro Rail Transit Station Service Facilities by Integrated Simulation-Optimization Method Using Passengers’ Flow Fluctuation

Khattak, Afaq; Jiang, Yangsheng; Abid, Malik Muneeb

doi:10.1007/s13369-018-3194-2

Cited by 14 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the current study conceptualizes what is referred to as the transit area in the tourist movement literature. Extant literature has discussed transit areas often in relation to passenger movement in transportation and occasionally in events as a way to improve the design and capacity in transit centers or the efficiency of the transport system (e.g., Khattak, Yangsheng, and Abid 2018; Ruan et al 2016), but how such transit areas are conceptualized in tourist movement literature remain under-developed. In fact, transit area, as a concept, has been traditionally linked to transit tourism, where a stopover occurs between tourist generation region and destination region based on Leiper’s (1979) Tourism System (Poon and Ho 2021).…”

Section: Discussionmentioning

confidence: 99%

A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event

Cheng

Jin

Wang

et al. 2022

Journal of Travel Research

View full text Add to dashboard Cite

The movement of tourists has important economic and social implications for destination management. However, tracking and analyzing such movement can be a challenge both conceptually and methodologically. Using four different sequential pattern mining algorithms, this study investigates the movement of international visitors during the Gold Coast Commonwealth Games (GC2018) at the level of a specific destination through Twitter data. Results indicate that sequential pattern mining is a powerful technique to reveal complex travel patterns and provides insights into the potential associated destinations of visitors beyond the current point-to-point analysis. This approach can assist destination management and event organizers in identifying the event’s contribution to tourists’ local visitation.

show abstract

Section: Discussionmentioning

confidence: 99%

A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event

Cheng

Jin

Wang

et al. 2022

Journal of Travel Research

View full text Add to dashboard Cite

show abstract

“…In order to obtain the performance measures, such as the blocking probability and the average number of vehicles on the highway section, we can use Equations ( 12) and (13), which are based on the state probabilities from Equation (11).…”

Section: Mathematical Modeling Based On Birth-death Process (Bdp)mentioning

confidence: 99%

“…Several queuing models were developed by different researchers for the analysis and design of transportation systems due to the inherent characteristics of urban transit systems, namely, the connection between the service facilities (walkways, stairs, ticket machines at transit stations, etc.) and the flow of entities (pedestrians) [7][8][9][10][11][12][13][14][15]. Similarly, Jain and MacGregor Smith [16] established state-dependent queuing models for simulating vehicle traffic flows and revealed that they are more realistic in extremely congested conditions.…”

Section: Introductionmentioning

confidence: 99%

Two-Level Full Factorial Design Approach for the Analysis of Multi-Lane Highway Section under Saturated and Unsaturated Traffic Flow Conditions

et al. 2023

Self Cite

View full text Add to dashboard Cite

Oversaturation of highways occurs due to their inadequate assessment and design. In this paper, we propose both a mathematical queuing model and a Discrete-Event Simulation (DES) framework based on Newell’s triangular flow-density relationship for the performance analysis of a multi-lane highway section. The proposed framework is a finite capacity queuing system, which captures an increase in the flow with the vehicle density up to the capacity of the section in an unsaturated condition and a decrease in the flow in the case of a saturated condition, depicting the actual traffic conditions on the highway section. First, the Birth–Death Process is used to build the mathematical queuing model (BDP), and the average number of vehicles (average queue length) and blocking probability on the highway section are estimated. Then, the accuracy of the mathematical queuing model is verified by the proposed DES framework. The “significance and effects” of different design factors are evaluated using the two-level full factorial design technique. The analysis of the experimental results reveals that the length of the highway section and the number of lanes are the most significant factors affecting the average queue length and blocking probability, while the jam density only has a significant effect on the average queue length and does not affect the blocking probability. In case of a two-way interaction, the combined effect of the “length-lanes” significantly affects the average queue length. In the end, a multiple-factor linear regression model is also developed for the prediction of the average number of vehicles on the highway section based on the design factors.

show abstract

“…As the original layout of a subway station can become unsuitable as the number of passengers, type of passengers and surrounding environment change, a study by Lee (Lee, 2012) proposed an integrated model with simulations to estimate the total walking time for passengers and obtain the optimal layout through ant colony optimization. In contrast, a recent study by Khattak et al ( Khattak et al, 2018 ) proposed a phase-based distribution and optimization method based on integrated discrete event simulation (DES) for performance evaluation and determining the optimal configuration of service facilities in metro stations. The facilities such as ticketing facilities and elevators are represented as a queuing system, and a genetic algorithm is used to obtain the optimal configuration for service facilities using facility utilization, average ridership, and passenger waiting time in the facility as performance indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

Prevention and control of COVID-19 in subway stations: An optimization strategy for placing location QR codes

Dong

Chen²,

Ding³

et al. 2022

Tunnelling and Underground Space Technology

View full text Add to dashboard Cite

Optimal Configuration of the Metro Rail Transit Station Service Facilities by Integrated Simulation-Optimization Method Using Passengers’ Flow Fluctuation

Cited by 14 publications

References 39 publications

A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event

A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event

Two-Level Full Factorial Design Approach for the Analysis of Multi-Lane Highway Section under Saturated and Unsaturated Traffic Flow Conditions

Prevention and control of COVID-19 in subway stations: An optimization strategy for placing location QR codes

Contact Info

Product

Resources

About