Technology-Enhanced Airport Services—Attractiveness from the Travelers’ Perspective
Open Access
- 13 January 2021
- journal article
- research article
- Published by MDPI AG in Sustainability
- Vol. 13 (2) , 705
Abstract
The rapid emergence of automation brings new opportunities for airport development. Airports strive to maximize passenger satisfaction as well as optimize their operation. However, the lack of knowledge of consumer preferences might be an important barrier to achieve these objectives. Therefore, our study aims to unveil the potential of service development alternatives based on artificial intelligence (AI). For this, a systematic literature review (SLR) and a quantitative analysis of a survey have been conducted. The results of the empirical research are based on 593 responses; most of the subjects belong to generation Z (digital natives) and Y (millennials). The analysis revealed attitudes towards different AI-based transport solutions and AI robots that provide information at the airports. Based on the perceived attractiveness of such services, the environmentally conscious behaviour of consumers, and sociodemographic data, subjects were classified into three different clusters (Negligents, AV Enthusiasts, and Robot Fanatics). Results proved the attractiveness of AI-based transport services that can be used in the air-side zone. Among the millennials, the idea of self-driving buses running between airport terminals is the most appealing. Greater interest in AI-based communication solutions can be perceived among generation Z. For both generations, environmentally conscious consumption is also of paramount importance. The attractiveness of AI-based solutions has been analyzed in a tourist environment, which might be a good starting point for further research into the technology acceptance of AI-based services.Keywords
This publication has 24 references indexed in Scilit:
- Assessing the self-service technology usage of Y-Generation in airline servicesJournal of Air Transport Management, 2018
- On sceptics and enthusiasts: What are the expectations towards self-driving cars?Transport Policy, 2018
- Cost-based analysis of autonomous mobility servicesTransport Policy, 2018
- Meeting the needs of the Millennials and Generation Z: gamification in tourism through geocachingJournal of Tourism Futures, 2018
- Artificial Intelligence and Collaborative Robot to Improve Airport Operations2017
- An Airport Experience Framework from a Tourism PerspectiveTransport Reviews, 2015
- Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendationsTransportation Research Part A: Policy and Practice, 2015
- Fitting facilities to self-service technology usage: Evidence from kiosks in Taiwan airportJournal of Air Transport Management, 2013
- How to Write a Literature ReviewJournal of Criminal Justice Education, 2013
- Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry—Method and applicationsAtmospheric Environment. Part A. General Topics, 1992