Antecedents of Waze Mobile Application Usage as a Solution for Sustainable Traffic Management among Gen Z

Author:

Gumasing Ma. Janice J.1ORCID,Bermejo Frances Jeann Charlize S.2,Elpedes Keisha Taranee C.2,Gonzales Lady Fatima E.2,Villajin Aaron Chastine V.2

Affiliation:

1. School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines

2. Senior High School Department, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines

Abstract

The study aimed to investigate Gen Z’s intentions to utilize the Waze mobile application as a solution for sustainable traffic management in Metro Manila. The extended technology acceptance model (TAM) was used to define user behavior and technology usage to determine the factors influencing Filipino drivers’ acceptance of the Waze application. The study utilized a survey given to 300 Filipino drivers travelling within the National Capital Region to accurately measure various factors and their connections to usage intention and actual use. The analytical approach used for this investigation was partial least squares structural equation modelling (PLS-SEM). The study’s data results revealed that system quality, perceived location accuracy, perceived usefulness, and perceived ease of use affect Gen Z’s intentions to use traffic navigation applications, particularly Waze. The study’s results can be applied as a theoretical framework for future researchers of Waze mobile applications, Waze route accuracy, and Waze overall application performance, as well as the features of the Waze application, to evaluate how the use of the Waze mobile application could help in the effective management of traffic situations in Metro Manila. The study assessed the effectiveness of the Waze navigation app as a platform for efficiently managing traffic situations in Metro Manila and highlighted the application performance of Waze and its acceptance by Gen Z users in Metro Manila. The study also highlighted the need a critical review of Waze’s application performance. The study recommends that similar future studies must consider samples from a more diverse geographic backgrounds to obtain a more accurate representation of Filipino users. Future researchers are also advised to adopt a qualitative research design to gain more detailed insights into Filipinos regarding their experience with the Waze application.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference75 articles.

1. Applying the TAM to travelers’ usage intentions of GPS devices;Chen;Expert Syst. Appl.,2011

2. Traffic impact assessment for sustainable traffic management and transportation planning in urban areas;Diliman;Proc. East. Asia Soc. Transp. Stud.,2005

3. Urban traffic congestion in twelve large metropolitan cities: A thematic analysis of local news contents, 2009–2018;Huang;Int. J. Sustain. Transp.,2022

4. Shopping centers in Metro Manila and necessity for traffic impact study;Palmiano;J. East. Asia Soc. Transp. Stud.,2015

5. Brotoisworo, P., and Sunio, V. (2019). Exploring the Utilization of Crash Data from Waze and Twitter for Official National Crash Database. Proc. East. Asia Soc. Transp. Stud., 12.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart Traffic Management using Convolutional Neural Networks;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3