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The usability of the Internet of Things (IOT) is accelerated by making intelligent and equipping different machines and devices with smart sensors. IOT is used in smart cities, transportation, construction cases. IOT has the capability to provide real-time information for drivers and citizens to design their routes to avoid traffic and reduce fuel consumption. However, there is a significant number of IOT barriers to IOT utilization such as the distrust of users and managers in sharing information, suspicion to privacy and the ease of using the relevant applications. Despite the importance of these factors, a model for predicting the use of this technology for specific disciplines has not yet been developed, especially for developing countries. Therefore, this research attempts to propose a model for prediction of application, taking into account the increased security of IOT in intelligent transportation. To this end, influential constructs on user trust were collected and tested by questionnaire from 62 experts. The data were analyzed using Smart PLS using confirmatory factor analysis. The results show that 11 hypotheses in the research have been confirmed. The results of this study are very important for technology specialists and urban managers to establish the IOT in the field of urban transport.

Technology, particularly over the past decades, has affected the cities and their components, such as building sectors. Consequently, smart building that has currently utilized various technologies which is incorporated into buildings is the core of the present chapter. It provides a comprehensive overview on smart cities, smart buildings and smart home to address what systems and technologies have been incorporated so far. The aim is to review the smart concepts in built environment with the main focus on smart cities, smart buildings, and smart homes. State-of-the-art and current practices in smart buildings were also reviewed to enlighten a set of directions for future studies. The Chapter is primarily focuses on 51 articles in smart buildings/homes, as per collected from various datasets. It represents a summary of systems utilized and incorporared into smart buildings and homes over the past decade (2010–2020). Additional to different features of smart buildings and homes, is the discussion around various fields and system performances currently utilized in smart buildings/homes. Limitations and future trends and directions is also discussed. In total, such building/home systems were categorized into 6 groups, including: security systems, healthcare systems, energy management systems, building/home management systems, automation systems, and activity/movement recognition systems. Furthermore, there are a number of surveys which investigated the user’s acceptance and adoption of the new smart systems in homes and buildings, as presented and summarized thereafter in Tables. The present Chapter is a contribution to a better understanding of the functions and performances of such buildings/homes for further implementation and enhancement so that varying demands of smart citizens are fulfilled and eventually contribute to the development of smart cities.

Technology adoption concept refers to a complicated process covering people, technology and the implementation context. In this paper, we (1) review some of the most reliable technology acceptance models such as Technology Acceptance Model (TAM) and its recent versionsTAM2 and 3; (2) review their constructs, and finally (3) discuss differences of those models. The review shows that TAM still needs further development to be applied to transportation and urban planning disciplines. The models are thoroughly discussed how they can be extended in a way to cover transportation, urban planning and infrastructure management disciplines. TAM is extended by additional variables to produce TAM3 as a comprehensive model in information systems, but there is not any evidence showing that the model can be a reliable predictive model for other disciplines. MOJ Civil Engineering Mini ReveiwOpen Access Developing technology acceptance models for decision making in urban management Constructs of technology acceptance modelsIn this section, definitions of constructs which are used in the above mentioned modelsare presented in Table 1. Table 1 Definition of constructs using in different models ModelReference Construction Definition TAM basic construction 10Perceived Ease of Use The degree to which a person believes that using a particular system would be free of effort. 10Perceived UsefulnessThe degree to which a person believes that using a particular system would enhance his or her job performance.10 TAM2 additional constructs 26Subjective Norm Individual's perception that most people who are important to him think he should or should not perform the behavior in question. 15Image The degree to which use of an innovation is perceived to enhance one's image or status in one's social system. 18Job Relevance An individual's perception regarding the degree to which the target system is applicable to his or her job. 26Output Quality The degree to which those tasks match their job goals, people will take into consideration how well the system performs those task. 26Result Demonstrability The tangibility of the results of using the innovation including their observability and communicability. 18TAM3 additional constructs 25Computer Selfefficacy The ability of user to perform a specific task/job using the computer based if the user's belive. 7 Perceptions of External ControlThe degree to which an individual believes that organizational and technical resources exist to support the use of the system. 27Computer AnxietyThe degree of "an individual's apprehension, or even fear, when she/he is faced with the possibility of using computers". 10Computer Playfulness The degree of cognitive spontaneity in microcomputer interactions. Perceived EnjoymentThe extent to which "the activity of using a specific system is perceived to be enjoyable in its own right, aside from any performance consequences resulting from system use". 10Objective Usability A comparison of systems based on the actual level (rather than perceptions) of effort required...