Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies

Sepasgozar, Samad M. E.; Hawken, Scott; Sargolzaei, Sharifeh; Foroozanfa, Mona

doi:10.1016/j.techfore.2018.09.012

Cited by 186 publications

(129 citation statements)

References 79 publications

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“…The technological part of a smart city refers to the use of information systems for planning, controlling, and managing critical infrastructure [35,36]. Recently, a wide range of tools and applications have been introduced to facilitate implementing smart cities and capturing user behaviour from different social and managerial perspectives [37]. A wider range of geo-spatial technologies are required for smart cities in order to generate data and monitor changes over time in the city.…”

Section: Smart Cities Including Smart Elementsmentioning

confidence: 99%

Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities

Shirowzhan

Tan

Sepasgozar

2020

IJGI

107

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Smart technologies are advancing, and smart cities can be made smarter by increasing the connectivity and interactions of humans, the environment, and smart devices. This paper discusses selective technologies that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This raises the question of assessing the impact of a new infrastructure project on the community prior to its commencement—what type of technologies can potentially be used for creating a virtual representation of the city? How can a smart city be improved by utilizing these technologies? There are a wide range of technologies and applications available but understanding their function, interoperability, and compatibility with the community requires more discussion around system designs and architecture. These questions can be the basis of developing an agenda for further investigations. In particular, the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities is discussed. In line with smart city technology development, this Special Issue includes eight accepted articles covering trending topics, which are briefly reviewed.

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Section: Smart Cities Including Smart Elementsmentioning

confidence: 99%

Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities

Shirowzhan

Tan

Sepasgozar

2020

IJGI

107

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“…According to some similar research, TAM and its extended theories are reliable ways to predict the acceptance behavior of the IT user [46]. Although there have been many empirical studies on the smart construction technology forecasting and change based on the TAM in the construction industry [47][48][49], they all obey the assumption of complete volitional control.…”

Section: Technology-to-performance Chainmentioning

confidence: 99%

An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China

Gong

Zeng

et al. 2019

Sustainability

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The engineering-procurement-construction (EPC) method has the potential to help construction projects achieve sustainable performance, e.g., the contractor’s early involvement, cost savings, and a reduced schedule. However, high uncertainties and complexities are contained in EPC projects. 4D BIM (Building Information Modeling) with abilities to simplify the time and space relationships of construction activities and support multi-party information sharing is beneficial to EPC project management. The behavior pattern of the project personnel toward accepting 4D BIM information systems or tools needs to be explored. Therefore, a research model of the acceptance of 4D BIM in EPC projects with eight latent constructs is proposed through a literature review of technology acceptance theories. Data is collected from a questionnaire survey and interviews. Research hypotheses are examined using PLS-SEM (partial least squares-structural equation modeling). Empirical evidence is collected from China, and implications to the developing countries facing the challenge of developing a technology-intensive construction industry are provided: (1) Adopting 4D BIM in the EPC project is beneficial; (2) the task-technology fit plays a leading role in technology acceptance; (3) the management incentive is inefficient at the operational stage. Suggestions for future research on 4D BIM acceptance in complex construction projects with abundant data and alternative models are provided.

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“…In the previous study of Ignacio et al [19], the TAM model was protracted by external variables (i.e., political climate, anxiety, and user demand). TAM was widely used to study the potential adoption of various types of technologies: smart watches [20], digital education technologies [21], and citizen centric technology [22]. Although TAM could potentially…”

mentioning

confidence: 99%

A Perception Study of an Integrated Water System Project in a Water Scarce Community in the Philippines

Ignacio

Malenab

Pausta

et al. 2019

Water

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The Integrated Water System (IWS) offers alternative water and sanitation services that can potentially benefit rural communities experiencing water scarcity. The IWS described in this study comprises three systems: The Rainwater Harvesting System (RWHS), Water Treatment System (WTS), and Eco-Toilet System (ETS). RWHS and WTS make use of rainwater, which can be utilized for several domestic uses, especially during wet season. ETS has several benefits to users including promotion of environmental and public health, as well as food security. Despite the potential benefits of the IWS components, the perceived acceptance of its users threatens the success of its implementation. This study focuses on determining the significant factors that can influence the social acceptance of IWS in the Municipality of Mulanay, Quezon Province, Philippines. This study considers behavioral intention as an indicator of social acceptance of the IWS components. The framework of this study is based on the combined technology acceptance model and theory of planned behavior (C-TAM-TPB) concept. C-TAM-TPB was analyzed using Partial Least Square–Structural Equation Modeling (PLS–SEM). The result of the C-TAM-TPB evaluation reveals that the user’s attitude towards use (ATU), including its significant predictors, can promote behavioral intention towards use of the IWS components. This study can further improve the development of IWS projects.

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Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies

Cited by 186 publications

References 79 publications

Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities

Digital Twin and CyberGIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities

An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China

A Perception Study of an Integrated Water System Project in a Water Scarce Community in the Philippines

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