Infrastructure Data Management Research Articles

Real Estate Data Marketplace

Real estate financing, construction, and management are being revolutionised by the data science and infrastructure technologies of Artificial Intelligence (AI), Internet of Things (IoT), Big Data, Digital Object Identifiers (DOI) and Blockchain. The key to automation and integration is a Real Estate Data Marketplace across the lifespan of finance, planning, construction, regulation, management, even refurbishment and demolition. Integration of digital 4.0 and industry 4.0. Real estate is becoming increasingly digital, automated and integrated; embracing connected-buildings, wearable personal devices, integrated transportation systems, buildings and infrastructure data management and smart cities. The key to promoting the use of data-driven techniques in the real estate sector is the introduction of a Data Marketplace that promotes validation of data and tokenisation to create value for the owners of the data, Blockchain security and governance for users of the data, the application of Artificial Intelligence for data analytics and ethics for governance. The technical capability exists today for a complete end-to-end reshaping of the real estate market based on data and ethics. This is data-driven real estate (cf. Google, Amazon, Alibaba, Tencent). The contributions of this review paper are fourfold: (a) to provide a vision of a fully digital real estate marketplace; (b) to brief the industry on digital technology and also stimulate engagement with the computer science community; (c) to encourage debate amongst professionals, academics and politicians of the benefits of full automation and integration of real estate; (d) present ethics for the Real Estate Data Marketplace based on lawfulness, fairness and transparency.

Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities

The smart city adopts information and communication technology (ICT), contributing to the growth, implementation, and advancement of sustainable development practices to address growing challenges to urbanization. The demanding factor in smart city applications is privacy, security, confidentiality, and authenticity, which are considered a prominent factor in smart city infrastructure's data management interface. Hence In this paper, to resolve such issues, Holistic Big Data Integrated Artificial Intelligent Modeling (HBDIAIM) has been proposed to improve the privacy and security aspects of data management interface in various smart city applications. In HBDIAIM, a differential evolutionary algorithm has been incorporated to build adequate security for the confidential data management interface in smart city applications. Furthermore, the Big Data analytics assisted decision privacy scheme has been used in the differential evolutionary algorithm, which improves the scalability and accessibility of the information in a data management interface based on their corresponding storage location. In addition, the Adaptable interference method is designed and developed to optimize the scalability and privacy issues data management interface of various smart city applications. The simulation analysis is performed based on security, accuracy, performance, and scalability proves the reliability of the proposed framework.

Real Estate Data Marketplace

The Real estate financing, construction, and management are being revolutionised by the data science and infrastructure technologies of Artificial Intelligence (AI), Internet of Things (IoT), Big Data, Digital Object Identifiers (DOI) and Blockchain. The key to automation and integration is a real estate data marketplace across the lifespan of finance, planning, construction, regulation, management, even refurbishment and demolition. An integration of digital 4.0 and industry 4.0. Real estate is becoming increasingly digital, automated and integrated; embracing connected-buildings, wearable personal devices, integrated transportation systems, buildings and infrastructure data management and smart cities. The key to promoting the use of data driven techniques in the Real Estate sector is the introduction of a Data Marketplace which promotes validation of data and tokenisation to create value for the owners of the data, Blockchain security and governance for users of the data and the application of Artificial Intelligence for data analytics. The technical capability exists today for a complete end-to-end reshaping of the Real Estate Market based on data. This is data-driven real estate (cf. Google, Amazon, Alibaba, Tencent). The contributions of this review paper are three-fold: a) to provide a vision of a fully digital real estate marketplace; b) to brief the industry on digital technology and also stimulate engagement with the Computer Science community; and c) to encourage debate amongst professionals, academics and politicians of the benefits of full automation and integration of real estate

A Note on Assessment of Transportation Infrastructure Data Management Practices

The amount of data being maintained by state departments of transportation (DOTs) and local transportation agencies is increasing steadily. Although data provide opportunities to facilitate decision making at transportation agencies, there are challenges involved in managing large and diverse data. This article provides an assessment of the maturity of three data management practice (stewardship, storage and warehousing, and integration) for 16 transportation data groups based on a survey of 43 DOTs in the United States. The assessment results show that data management practices at the monitoring and operations phases of transportation infrastructure life cycle are likely more mature than those at other phases. Inventory data, in particular, has the most mature data management practices. On the other end, real estate data and travel modeling data have the least mature data management practices. A comparison of the practices indicates that data stewardship is more mature than data integration and storage and warehousing practices.