A global index for level of service evaluation at airport passenger terminals

Purpose: This study proposes a conceptual model of level of service evaluation to a small-sized airport with a focus on departing passengers.Design/Methodology: The variables selected to compose the model were chosen according to their adequacy to departing passengers and the airport’s characteristics. A survey was conducted, and, posteriorly, exploratory factor analysis was used in order to verify the adequacy of the conceptual model proposed and also to improve it according to the results obtained.Findings: The results show that the level of service of the airport is composed of three dimensions: airport characteristics, passenger processing, and prices. The relative importance of the dimensions according to their contribution to the composition of the airport’s overall level of service was also determined.Originality/value: The paper combines theoretical and practical findings in a model for level of service evaluation to a small-sized airport from an air transportation management perspective.

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Review of research methods for evaluating passenger level of service at airports

WUT Journal of Transportation Engineering ◽

10.5604/01.3001.0014.4247 ◽

2020 ◽

Vol 129 ◽

pp. 81-99

Author(s):

Robert Szymczak

Keyword(s):

Research Methods ◽

Automatic Detection ◽

Level Of Service ◽

Service Research ◽

Target Level ◽

Advantages And Disadvantages ◽

Service Characteristics ◽

Qualitative Measure ◽

Passenger Terminals

The passenger level of service is a qualitative measure used to relate the quality of passenger services provided by the airport. The level of service can be perceived in correlation with both quantified and unquantified service characteristics. The global IATA Level of Service (LoS) standards are based on the maximum queuing time and space required per passenger for various terminal sub-systems. The provided level of service by the airport influences passenger experience and therefore is an important factor of airport attractiveness for airlines. The level of service is correlated with terminal facilities size so it is necessary to take it into account when designing new airports. Decrease of the LoS below acceptable standard is a trigger for operational and physical improvements of existing processes. Moreover defining the target level of service is necessary to determine terminal capacity and set coordination parameters. This paper discusses the importance of level of service at airport passenger terminals and presents methods for LoS assessment. Advantages and disadvantages were identified of each level of service research: manual observation, automatic detection, calculation and simulation. The paper includes recommendations for evaluating level of service during airport planning and operations phase.

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Understanding Pedestrian Interactive Behaviors under the Different Level of Services on Stairways

Journal of Advanced Transportation ◽

10.1155/2019/2015671 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13

Author(s):

Jianhong Ye ◽

Xiaonian Shan ◽

Xiaohong Chen ◽

Mengxiao Yu

Keyword(s):

Service Evaluation ◽

Level Of Service ◽

Field Observations ◽

Highway Capacity ◽

Metro Station ◽

Highway Capacity Manual ◽

Pedestrian Traffic ◽

Similarities And Differences ◽

Interactive Behaviors ◽

Main Factor

Stairways serve as important walking facilities for pedestrians, especially in metro stations, but researches of pedestrian traffic on stairways are not sufficient. This paper investigates pedestrian interactive behaviors (PIBs) under the different level of services (LOS) on stairways, including overtaking behavior and evasive behavior on stairways. Macro and micro indicators are proposed and calculated based on field observation collected from two stairway flights in a certain metro station in Shanghai, China. Results of macro indicators reveal that the characteristics of overtaking behavior and evasive behavior have both similarities and differences. As for similarities, neither of these two types of behaviors would occur under extremely low or high densities, representing LOS A or LOS F. Under other ranges of density, occurrence intensities of pedestrian interactive behaviors on stairways are different. Overtaking behavior intensity shows a rapid increase trend with the density from low to medium, while evasive behavior intensity keeps a certain value. Results of micro indictors show that the available space for overtaking behavior and evasive behavior is the main factor contributing to the above similarities and differences. Characteristics of PIBs under the different LOS present in highway capacity manual are discussed based on field observations. Findings of this research are helpful to understand the knowledge of PIBs on stairways for a better stairway traffic design and level of service evaluation.

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Evaluation on Urban Public Transit Operational Level of Service Based on Public Transportation Priority Strategy

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.253-255.1900 ◽

2012 ◽

Vol 253-255 ◽

pp. 1900-1905

Author(s):

Yang Bian ◽

Lin Zhao ◽

Jian Rong ◽

Jian Cheng Weng

Keyword(s):

Development Strategy ◽

Public Transportation ◽

Public Transit ◽

Service Evaluation ◽

Level Of Service ◽

The Public ◽

Operational Level ◽

Passenger Satisfaction ◽

The Index System ◽

Implementation Effect

This paper started from the perspective of the implementation effect of public transportation priority development strategy, and studied on the evaluation of urban public transit operational level of service, then whether the strategy was well put into effect could be examined. On the basis of the existing research on the evaluation index of public transit operational level of service, this paper carried out a microscopic level of service evaluation on public transportation priority strategy. Then the effect of the strategy was analyzed from the level of passengers’ satisfaction. At last, the result of this strategy was examined by the increasing of proportion of the public transportation travelers. Finally, according to the establishment of the index system, it was analyzed respectively from the two aspects of objective and subjective with the combination of AHP and passenger satisfaction survey. Then the grade of urban public transit operational level of service could be obtained.

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Development of Safety-Based Level-of-Service Parameters for Two-Way Stop-Controlled Intersections

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1635-17 ◽

1998 ◽

Vol 1635 (1) ◽

pp. 127-132

Author(s):

Soo-Beom Lee ◽

William D. Berg

Keyword(s):

Service Evaluation ◽

Evaluation Framework ◽

Level Of Service ◽

Pavement Condition ◽

Intersection Safety ◽

Sight Distance ◽

Traffic Composition ◽

Safety Considerations ◽

Intersection Geometry ◽

Acceptance Research

Current methods for evaluating level of service at two-way stop-controlled intersections do not account for safety considerations. One of the most important factors influencing intersection safety is the availability of adequate sight distance. However, current recommended intersection sight distance criteria do not explicitly consider variability in traffic composition, vehicle characteristics, pavement conditions, or driver characteristics such as perception-reaction time and minimum gap acceptance. Research was therefore undertaken to develop and validate a method where the safety of a two-way stop-controlled intersection could be estimated based on parameters such as intersection geometry, traffic volume, pavement condition, traffic composition, and available sight distances. Simulation modeling was used to estimate the frequency of potential conflicts or collisions resulting from sight distance restrictions. The potential severity of the collisions was modeled using kinetic energy principles. A method for incorporating the results into a level-of-service evaluation framework was then developed.

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Mamdani Model Based Adaptive Neural Fuzzy Inference System and its Application in Traffic Level of Service Evaluation

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.76 ◽

2009 ◽

Cited By ~ 12

Author(s):

Yuanyuan Chai ◽

Limin Jia ◽

Zundong Zhang

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Service Evaluation ◽

Level Of Service ◽

Inference System ◽

Model Based ◽

Traffic Level ◽

Neural Fuzzy

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Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions

Transportation ◽

10.1007/s11116-021-10194-4 ◽

2021 ◽

Author(s):

Alvaro Rodriguez-Valencia ◽

Jose Agustin Vallejo-Borda ◽

German A. Barrero ◽

Hernan Alberto Ortiz-Ramirez

Keyword(s):

Performance Indicators ◽

Explanatory Power ◽

Service Evaluation ◽

Active Transportation ◽

Urban Environments ◽

Level Of Service ◽

Individual Perceptions ◽

Scale Spaces ◽

Perceived Qos

AbstractMore and more cities worldwide are striving for sustainability and livability. Measuring the service or performance of local-scale spaces for pedestrians and bicyclists to better understand how to provide “walkable” and “bikeable” environments is key in this endeavor to enhance active transportation. These pedestrian and bicycle service or performance indicators, such as Level of Traffic Stress or Level of Service, relate measurable characteristics with a perceived proxy of the performance or service, such as comfort, satisfaction, or quality of service (QoS). The purpose of this study is to propose and validate a framework that integrates user-oriented inputs to the existing traditional supply-oriented variables to explain the QoS in segment roadways in urban environments for active modes. The conceptual framework underlying this study considers the contribution of individual perceptions, in addition to the traditionally considered operational and geometry variables, to explain the perceived QoS of pedestrian and bicyclist infrastructure. The framework is tested via two separate and independent surveys for pedestrians and bicyclists. Evidence determined the relative importance of these supply-oriented and user-oriented factors to explain the QoS. The superior explanatory power of the perception variables and in terms of the variables that explain the individuals’ perceived QoS justify the framework for both pedestrians and bicyclists.

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