Volume 9, Issue 36 (Fall 2021)
IUESA 2021, 9(36): 141-160 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shafiei Nikabadi M, Shambayati H. Identifying Factors Affecting IoT Acceptance in Intelligent Urban Transportation (Case Study: Semnan Province). IUESA 2021; 9 (36) :141-160
URL: http://iueam.ir/article-1-1781-en.html
URL: http://iueam.ir/article-1-1781-en.html
1- Department of Industrial Management, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran , shafiei@semnan.ac.ir
2- Faculty of Economics, Management and Administrative Sciences, Semnan University, Iran
2- Faculty of Economics, Management and Administrative Sciences, Semnan University, Iran
Abstract: (1576 Views)
The performance of transportation systems is essential for individual mobility, commerce and the economic growth of all societies, since transportation is an essential infrastructure for a modern society, improving transportation safety and efficiency is necessary. An intelligent transportation system by using information technology can optimally manage the urban transportation system. The Internet of Things can be used to build an efficient intelligent transportation system using existing infrastructure. This paper discusses the opportunities for new and emerging technology, the internet of things in the urban Intelligent transportation sector. The main purpose of this paper is to investigate and rank the factors affecting adopt the Internet of Things in urban Intelligent Transportation. Based on this, first by reviewing the literature, these factors were identified and after being approved by experts in the field of transportation and information technology based on the technical, organization, environment framework, the most important and most frequent factors were selected. Then, the experts' opinion on the effectiveness of each factor was collected in the form of a questionnaire and after converting linguistic terms into hesitant fuzzy numbers, the ranking of these factors was done using the hesitant fuzzy VIKOR method. The results show that among the 19 identified factors affecting the adoption of the Internet of Things from the experts' point of view, information technology expertise and perceived benefits and Organisational readiness are the most important factors, and complexity and Perceived ease of use the internet of things are the least important factors. Using the Internet of Things will offer many opportunities and benefits to make the process of transportation easier and more efficient.
Keywords: Transportation, Intelligent Urban Transportation, Internet of Things, Uncertainty, Semnan Province
Type of Study: Research |
Subject:
Special
Received: 2019/12/20 | Accepted: 2020/08/1 | Published: 2021/12/6 | ePublished: 2021/12/6
Received: 2019/12/20 | Accepted: 2020/08/1 | Published: 2021/12/6 | ePublished: 2021/12/6
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
