IMPACT OF AIRPORT SERVICE QUALITY, IMAGE, AND PERCEIVED VALUE ON LOYALTY OF PASSENGERS IN SUVARNABHUMI AIRPORT SERVICE OF THAILAND

Suvarnabhumi Airport is a gateway to Thailand and Asia. It attracts inbound-, outbound- and transit passengers. The objectives of this study were to develop an airport service quality, image and perceived value framework for the loyalty of passengers and to study the direct, indirect and total effects of the factors that influence the loyalty of passengers who used the service at Suvarnabhumi Airport. This quantitative research method uses the questionnaire as a tool for collecting data from 400 passenger samples. According to the Structural Equation Modelling analysis, airport service quality, image and perceived value have had a positive effect on loyalty that airport service quality mainly has an impact on passenger loyalty. There are four latent dimensions of airport service quality, namely, essential services; comfort, convenience and enjoyment; security, customs and passport control; and special facilities, that can help develop loyalty. Perceived value and image on airport administration and management had a significant direct effect to passenger loyalty. Improving these facotrs in order to attract passenger interest and attention can lead to the development of airport organization performance, and to increase competitiveness as an aviation hub in this region.

Criminal Detection through Face Recognition

Face acknowledge is a champion among the most troublesome subjects in PC vision today. It has applications running from security and perception to delight destinations. Face affirmation writing computer programs are significant in banks, plane terminals, and various associations for screening customers.Germany and Australia have passed on face affirmation at edges and customs for Automatic Passport Control. Human face is a unique dissent having significant degree of change in its appearance which makes stand up to affirmation an irksome issue in PC vision. In this field, exactness and speed of ID is a guidelineissue. Various challenges exist for defy affirmation. The force of the system can be hindered by individuals who change their facial features through wearing shaded contact central focuses, growing a mustache, putting on genuine make-up, etc. Moral concerns are also related to the way toward recording, mulling over, and seeingcountenances. Various individuals dont support of perceptionstructures which take different photographs of people who have not endorsed this action. The goal of this paper is to surveydefy disclosure and affirmation methodology and offer an allout response for picture based face area and affirmation with higher precision, better response rate and a basic development for video perception. Game plan is proposed considering performed tests on various face rich data sets similar to subjects, position, sentiments and light. Index Terms: Face acknowledge, Security and perception, Automatic Passport Control,Malware detection, facial features, face rich data sets.

Factors Limiting Face Matching at Passport Control and in Police Investigations

Face matching entails a comparison between two faces that are unfamiliar to an observer, who must then decide whether these depict the same person or different people. Despite the ubiquity of face matching in practical settings, such as passport control and police investigations, laboratory research has established that this task is highly error-prone, and that many of these errors derive from visual characteristics of to-be-compared face stimuli. Such characteristics include factors such as image quality, lighting, and natural changes in personal appearance, which influence the visual correspondence between face stimuli. In this chapter, factors that are likely to limit face-matching accuracy in real-world settings are reviewed, with the aim of providing insight into how these influence the accuracy of this process and how subsequent errors may be mitigated.

Epilogue

This book has provided an overview of the latest developments and current understanding of forensic/unfamiliar face matching. Throughout this book, the scientific study of face matching has been contextualized through two important applied tasks—facial comparison at passport control and in police settings. These applied tasks are now considered in turn to draw together content from different chapters and highlight some of the key insights emerging from this book....

Person Identification at Airports During Passport Control

This chapter provides insight into the development of internationally interoperable standards for passport and travel documents, and technological advances to facilitate fast and effective processing of passenger information for comparison against watchlists at borders and airports. The demands posed to border controls are considered and how these have changed over time, with particular emphasis on the modern-day threat of identity impostors and the development of facial recognition technology at Automated Border Control points. The continuing central role of human personnel for verifying the identity and nationality of travellers is described, with consideration of personnel selection, training, and performance monitoring.

Optimization of resource demand for passenger services at airports during system failures such as blackouts

Background In recent years, power outages at airports caused total collapses of terminal operations at the affected airports. These incidents have shown that existing emergency power systems were not sufficient to maintain airport operation. To mitigate the consequences of power outages, it is necessary to improve the management of available resources. Methodology Therefore, we investigate the possibility to save resources associated to passenger handling processes before departure. For this purpose, we create a simulation model of a generic medium-sized commercial airport. Several simulations with a varying number of service stations at check-in, security and passport control are carried out. Subsequently, we analyze the number of passengers who do not reach their flight due to increased waiting times at the passenger handling services. Results The simulations show that a reduction in resources at check-in counters and passport control initially has no effect on the number of passengers who do not reach their flight. The security control represents a bottleneck in passenger handling. In view of a break-even seat load factor the simulation results show, that a reduction of resources at the check-in below 16 counters, at the security check below 21 and at the passport control below 3 service stations should be avoided. Conclusion Therefore, the developed methodology is able to provide airport operators with decision support during system failures, as to which and how many service stations can be dispensed within the sub-processes of passenger handling without interrupting flight operations.

Body Language Influences on Facial Identification at Passport Control: An Exploration in Virtual Reality

Person identification at airports requires the matching of a passport photograph to its bearer. One aim of this process is to find identity impostors, who use valid identity documents of similar-looking people to avoid detection. In psychology, this process has been studied extensively with static pairs of face photographs that require identity match (same person shown) versus mismatch (two different people) decisions. However, this approach provides a limited proxy for studying how other factors, such as nonverbal behaviour, affect this task. The current study investigated the influence of body language on facial identity matching within a virtual reality airport environment, by manipulating activity levels of person avatars queueing at passport control. In a series of six experiments, detection of identity mismatches was unaffected when observers were not instructed to utilise body language. By contrast, under explicit instruction to look out for unusual body language, these cues enhanced detection of mismatches but also increased false classification of matches. This effect was driven by increased activity levels rather than body language that simply differed from the behaviour of the majority of passengers. The implications and limitations of these findings are discussed.

A New Hybrid Approach on Face Detection and Recognition

Face detection and recognition is an important paradigm when we consider the biometric based systems. Amongvarious biometric elements, the face is the most reliable one and can be easily observed even from a distance as compared to iris or fingerprint which needs to be closely observed to use them for any kind of detection and recognition. Challenges faced by face detection algorithms often involve the presence of facial features such as beards, moustaches, and glasses, facial expressions,and occlusion of faces like surprised or crying. Another problem is illumination and poor lighting conditions such as in video surveillance cameras image quality and size of the image as in passport control or visa control. Complex backgrounds also make it extremely hard to detect faces. In this research work, a number of methods and research paradigms pertaining to face detection and recognition is studied at length and evaluate various face detection and recognition methods, provide a complete solutionfor image-based face detection and recognition with higher accuracy, a better response rate as an initial step for videosurveillance.