Agent based simulation model for improving passenger service time at Bangalore airport

Verma, Ashish; Tahlyan, Divyakant; Bhusari, Shubham

doi:10.1016/j.cstp.2018.03.001

Cited by 18 publications

(12 citation statements)

References 10 publications

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“…Hipotesis 8 didasari oleh penelitian sebelumnya yang menjelaskan bahwa Effort Expectancy, tingkat kemudahan penggunaan yang akan dapat mengurangi upaya (tenaga dan waktu) individu dalam melakukan pekerjaannya menjadi perhatian utama bagi para pengguna (Verma et al, 2020). Dalam penelitian (Moon et al, 2021) bahwa Effort Expectancy dapat memberikan signifikansi yang positif terhadap minat penggunaan e-learning application.…”

Section: Hipotesis 7 (H1) : Performance Expectancy Dapat Memberikan S...unclassified

The Factors Affected m-Services Adoption in Airports

Hanantyo

2022

JITE

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This research focus on the factors which affected m-Services utilization in airport from airport’s functionaries point of view. Also, the background of this research is related to some former researches which defined some models that may increase the exertion of electronic mobile based service application (m-Services) such as: TAM, UTAUT, and UTAUT2. However, the former literature reviews only elucidate the factors which affect the increasing of m-Services or mobile technologies/ self service technology exertion from customer point of view. While, there are less of them apprising the factors affected m-Services adoption from airport’s functionaries point of view. The purpose of this study is fulfilling the lack in the literature review by apprising the study towards airport’s functionaries point of view. To reach the purpose of the study, this study applies literature review method. The literature review’s source of this study is originated from some international journals which discuss the factors of airport’s functionaries side. The result of this study are the Explanation of the factors affected m-Service adoption or mobile technologies/ self-services technology from airport’s functionaries point of view and the development of conceptual model related to the factors affected m-Services adoption from airport’s function perspective.

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Section: Hipotesis 7 (H1) : Performance Expectancy Dapat Memberikan S...unclassified

The Factors Affected m-Services Adoption in Airports

Hanantyo

2022

JITE

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“…Meanwhile, more researches on passenger service quality mainly focus on air transport, rail transport, and public bus transport from the perspective of passenger safety, health, and comfort. For example, Yazdani et al 14 proposed a real-time seat allocation algorithm to minimize the boarding/alighting time for passengers with open tickets in rail traffic, aiming at improving quality of service and safety for passengers; Chin et al 15 proposed a methodology for understanding the needs of passengers of high-speed railways in China and found that the comfort level is identified as the major concern of passengers; Berežný and Konečný 16 provided a methodology for measuring and evaluating bus transportation from the perspective of passenger demands; Verma et al 17 developed an agent-based simulation model for Kempegowda International Airport to predict passenger service time; Suárez-Alemán and Jiménez 18 studied quality assessment of airport performance from the passenger perspective, which provides support to airport management; Kim et al 19 proposed a dynamic independent component analysis method to produce an improved indoor air quality level in the metro station and reduce the passenger health risk. Overall, extensive researches have been done on passenger service quality in the fields of air transport, rail transport, public bus transport, etc.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based Fuzzy Multiple Attribute Decision Making framework for an optimal apron layout for aRoll-on/Roll-off/Passenger terminal considering passenger service quality

Tang

Zhao²,

Zhang

et al. 2021

SIMULATION

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The apron of the Roll-on/Roll-off/Passenger (Ro-Pax) terminal is an accident-prone zone with high risk of traffic congestion and vehicle exhaust pollution in the peak season, which brings a bad experience to passengers and even endangers passengers’ health. This study aims to improve the passenger service quality in the peak season by rezoning the Ro-Pax terminal apron and its traffic organization. Thus, we establish a simulation-based Fuzzy Multiple Attribute Decision Making framework to evaluate the passenger service quality and distinguish an optimal layout of the terminal apron. This framework introduces three evaluation indicators (safety, convenience, and comfort and health) and 11 performance indexes to define the passenger service quality, and the values of these indexes are derived from an agent-based simulation model for the Ro-Pax terminal apron operation. Finally, an example of the proposed framework is presented in a case study to show how to select an improved layout of the Ro-Pax terminal apron considering passenger service quality. The result confirms the proposed framework is an effective tool to solve rezoning the Ro-Pax terminal apron and the proposed methodology can also be used to cope with similar problems.

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“…Only in the last decades optimization or hybrid approaches have been introduced. However, many papers highlight that an efficient use of check-in counter operations can be achieved understanding passengers’ behavior and preferences [ 12 – 14 ]. The necessity of modelling passengers behavior and optimizing check-in operational costs calls for the integration of simulation models and optimization techniques to address such problems.…”

Section: Introductionmentioning

confidence: 99%

Optimization of airport check-in service quality focused on operational costs and passengers’ satisfaction

Adacher

Flamini

2021

PLoS ONE

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Passengers’ requirements in relation to the Airport Service Quality is rapidly increasing and forcing companies and airport management to improve the services performances. It is clear that this enhancement can not overlook the implication of competitive issues and economic concerns. In this paper the authors deal with the optimization of the check-in area management in the international airport of Lisbon. The proposed bi-criteria objective function minimizes the operational costs plus the costs measuring the passengers’ discomfort in terms of waiting time in line. The quality of the supplied check-in service is measured and mapped into the Levels of Service system standardized by the International Air Transport Association. The type of passengers and their stochastic behavior and preferences are simulated by a discrete event model. The operational costs and the passengers’ satisfaction are optimized by an algorithm based on the Surrogate Method, the performance of which are compared to those of a greedy heuristic and of a genetic algorithm.

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Agent based simulation model for improving passenger service time at Bangalore airport

Cited by 18 publications

References 10 publications

The Factors Affected m-Services Adoption in Airports

The Factors Affected m-Services Adoption in Airports

Simulation-based Fuzzy Multiple Attribute Decision Making framework for an optimal apron layout for aRoll-on/Roll-off/Passenger terminal considering passenger service quality

Optimization of airport check-in service quality focused on operational costs and passengers’ satisfaction

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