Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda

Abstract

The prevalence of mobile technology has been significant in transport research. Despite a growing application spectrum of smartphone uses and interests in mobility inference, little effort has been put into discussing theories, models, and research topics based on a systematic study of scholarly sources rooted in the interdisciplinary area of mobile technology and transport. Therefore, a timely and comprehensive synthesis of the current state of research is deemed to be required. A literature analysis, following PRISMA guidelines, aims to identify the successful development and implementation of the mobile technology that can be employed for behavior studies in transport. A review of the Web of Science Core Collections, JSTOR and SAGE databases, is performed. A rigorous screening process is used to collect key articles to construct the general image of existing knowledge. In addition, this study suggests an integrated research model to summarize how previous studies attain behavioral outcomes and a research agenda to identify unresolved research questions that future research can address. Two hundred fourty-eight papers meet the inclusion criteria. This study demonstrates that mobile technology is helpful for a better understanding of the various types of transport behaviors. They can be categorized according to their system designs and research topics: (1) Smartphone apps in sustainable transport and travel planning were studied in a remarkable collection of articles. (2) As individual’s mobility was under question, cellular signaling data were prominent for the formulation of analytical models. (3) CDRs, WiFi, and GPS data have increasingly been used, but the share of the modeling techniques for all mobile information systems has remained low. It shows that system designers could supply more desirable and appealing features in most areas. However, applications for the movement of goods are limited, although freighting has moved toward digitalization.

Data-Driven Insights in Higher Education: Exploring the Synergy of Big Data Analytics and Mobile Applications

“…In today's quickly expanding educational scene, the incorporation of technology has become a key aspect in molding the future of higher education [26]. Big data analytics and mobile-driven processes are seen as significant drivers of innovation and informed decision-making within the realm of disruptive technology [27]. In this study, we have engaged in a thorough examination of the study aim and a collection of relevant research inquiries related to the topic of "Empowering Higher Education: A Big Data Analytics Approach to Mobile-Driven Decision-Making."…”

On a City Guide App Model

“…Behavioral intention to use travel apps is a subject of study for accommodation reservations and other types of reservations-airline tickets, car rental, and cruise reservations [55], visits to national parks [56], restaurants reservations [55,56], natural habitats tours [29]. Research concerns on the use of mobile applications for urban tourism we also found in articles addressing the use of mobile applications for local transport [57][58][59][60][61][62][63][64][65]. Tour guide apps assist travelers while waiting in airports [66].…”

Mobile Public Transportation Application: Factors Influencing Urban Rail Transit Passengers' Use

“…Due to this situation, the awareness of journey planning and learning about waiting time, commuting time, numbers of transfers, trip distance, and cost has disintegrated among urban rail passengers. It could also be because there is a lack of clear frameworks of data gathered through mobile technology users that work for transport sectors (Sun et al, 2021). Previous studies concerning mobile app adaptation in different contexts can affect mobile app users' behaviour (Matyas, 2020;Siuhi & Mwakalonge, 2016).…”