What is the Best Location of a Smart Airport in Juarez, Mexico?

2021 ◽  
pp. 475-499
Author(s):  
Aida-Yarira Reyes-Escalante ◽  
Alberto Ochoa-Zezzatti ◽  
Diego-Adiel Sandoval-Chávez ◽  
Karla-Stephania Venegas-Ortiz
Keyword(s):  
Smart Airport

Building Information Modeling Implementation Framework for Smart Airport Life Cycle Management

2020 ◽  
Vol 2674 (6) ◽  
pp. 98-112
Author(s):  
Basak Keskin ◽  
Baris Salman
Keyword(s):  
Systems Engineering ◽  
Building Information Modeling ◽  
Life Cycle Management ◽  
Life Cycles ◽  
Information Modeling ◽  
Structured Interviews ◽  
Implementation Framework ◽  
Building Information ◽  
Operations And Maintenance ◽  
Smart Airport

Connectivity is key in this new era of smart infrastructure. Smart airports utilize new connected technologies to improve end-user experience while ensuring operational feasibility in aeronautical and non-aeronautical segments. The increasing need for digitizing the design-build-operate life cycles of airports can be met by implementing building information modeling (BIM) that enables accessing, managing, utilizing, and connecting physical and operational data in a digital collaborative environment. This study investigates the current state of practice in airport BIM (ABIM) and the use of ABIM processes in digital airport operations and maintenance by connecting existing data sources and integrating smart airport systems. The study proposes a comprehensive and adaptive ABIM management framework that depicts the alignment and connectivity of ABIM processes, resources and stakeholders with airport operational requirements by identifying gaps in the industry and literature, and developing a global understanding in ABIM visions. Research data are collected through literature and industry review, online surveys, and semi-structured interviews with aviation professionals. Mixed methods including non-parametric statistical analysis and qualitative analysis are used to determine the elements of the framework. Model-based systems engineering (MBSE) principles and language are used to generate the framework. For framework validation, a proof of concept (POC) is conducted by development and deployment of a web-based application. The developed ABIM framework is expected to guide major airport stakeholders in their BIM implementation processes to enhance airport operational efficiencies and in strategizing digital initiatives on a connected-BIM platform.

scholarly journals Aeropuertos inteligentes: aceptación de la tecnología por parte de los pasajeros

2020 ◽  
pp. 265-287
Author(s):  
Mónica Monge Zamorano ◽  
María Cristina Fernández-Laso ◽  
Javier De Esteban Curiel
Keyword(s):  
Video Games ◽  
New Technologies ◽  
Use Of Self ◽  
Nuevas Tecnologías ◽  
Self Service ◽  
Smart Airport

En este trabajo se analiza la aceptación de las tecnologías que hacen de un aeropuerto un Aeropuerto Inteligente, por parte de los pasajeros españoles. En concreto, se comprueba cómo el uso de tecnologías autoservicio en los procesos de embarque, obtención de etiquetas de equipaje y facturación del equipaje aumenta la satisfacción del pasajero. También se muestra que el deseo de utilización de las nuevas tecnologías en estos procesos y del uso de videojuegos y pasaporte biométrico está relacionada con la edad de los pasajeros.        This paper analyzes the acceptance of the technologies that make an airport an Smart Airport, by Spanish passengers. In particular, it is verified how the use of self-service technologies in the boarding, obtaining luggage tags and baggage check processes increases the passenger's satisfaction. It also shows that the desire to use new technologies in these processes and the use of video games and biometric passports is related to the age of the passengers.

Big Data Analytics for Smart Airport Management

2021 ◽  
pp. 209-231
Author(s):  
Desmond Narongou ◽  
Zhaohao Sun
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Customer Relationship ◽  
Operational Effectiveness ◽  
Airport Management ◽  
International Airport ◽  
Computing Paradigm ◽  
The Impact ◽  
Smart Airport

Smart airport management has drawn increasing attention worldwide for improving airport operational efficiency. Big data analytics is an emerging computing paradigm and enabler for smart airport management in the age of big data, analytics, and artificial intelligence (AI). This chapter will explore big data analytics for smart airport management from a perspective of PNG Jackson's International Airport. More specifically, this chapter first provides an overview of big data analytics and smart airport management and then looks at the impact of big data analytics on smart airport management. The chapter discusses how to apply big data analytics and smart airport management to upgrade PNG Jackson's International Airport in terms of safety and security, optimizing operational effectiveness, service enhancements, and customer experience. The approach proposed in this chapter might facilitate research and development of intelligent big data analytics, smart airport management, and customer relationship management.

IoT-based Smart Airport Solution

2018 ◽  
Author(s):  
Reema AlMashari ◽  
Ghada AlJurbua ◽  
Lama AlHoshan ◽  
Norah Saud Al Saud ◽  
Ola BinSaeed ◽  
...  
Keyword(s):  
Smart Airport

Smart Airport: Evaluation of Performance Standards and Technologies for a Smart Logistics Zone

2021 ◽  
pp. 036119812110197
Author(s):  
Elifcan Göçmen
Keyword(s):  
Object Detection ◽  
Transportation Planning ◽  
Fuzzy Inference ◽  
Performance Standards ◽  
Inference System ◽  
Suggested Approach ◽  
Smart Logistics ◽  
Baggage Handling ◽  
Smart Technologies ◽  
Smart Airport

Owing to the current context of Industry 4.0, the importance of smart technologies in airport systems have increased substantially. State-of-art applications for transportation planning incorporating baggage services, routing, security, and safety are an evolving domain for both practitioners and researchers dealing with aviation applications. In this context, this paper seeks to answer these questions: Which standards are aimed at a smart airport to make the transportation planning sound? Which propositions are made based on the obtained prioritized standards? This study deals with standards including Environmental Effects, Docking & Navigation, Object Detection & Protection, Communications & Integration, and Terminology using a practical decision support system based on an analytical hierarchy process (AHP) and fuzzy inference system (FIS). Computational results reveal that the Object Detection & Protection standard has an effect on a safe and smart system. To give an overview of this standard for a smart logistics zone (SLZ), an architecture of autonomous robot units and a baggage handling system is proposed in this study. The suggested approach analyzes the obstacle photos obtained by cameras and allows the end-user to control the calculations visually. This research could provide advice to airport planners about smart policies and improving operations.

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