A Study of Intention to Use for Intelligent Road-side Parking System in Tainan Taiwan

Abstract

In recent years Taiwan has promoted “smart city” to improve the serious parking problem in the current urban areas through the combination of big data artificial intelligence and the Internet of Things However intelligent parking system has not been promoted in such a large scale in other countries in the world Therefore in this research we expect to improve the efficiency of the use of Intelligent Road-side Parking Systems Tainan by exploring the public's willingness to use intelligent smart parking systems In this study a structural equation model is used to design a questionnaire A total of 385 valid questionnaires were collected of which 284 were online questionnaires and 101 were paper questionnaires The questionnaire contained 13 facets previous experience and social and economic attributes In this research we use exploratory factor analysis to reduce the facets to 8 facets and the model find that social impact and perceived security will affect people's perceived usefulness to the intelligent road-side parking systems while privacy attitude is contrary to previous literature assumptions having the positive impact The other facets verify the assumptions of the previous literature Finally we make recommendations based on the research results to the government units and private companies which are for developing policy and market strategies for referencing in future

Date of Award	2019
Original language	English
Supervisor	Tzuoo-Ding Lin (Supervisor)