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PHYGITAL REAL ESTATE: EXPLORING THE FUSION OF BLOCKCHAIN, NFTS, AND GIS IN COMMERCIAL REAL ESTATES

    Rajesh Soundararajan, Dr. V. M. Shenbagaraman

Abstract

Digital technologies such as Blockchain, Non-Fungible Tokens (NFTs), and Geographic Information Systems (GIS) are generating previously unheard-of prospects. Commercial real estate is one sector which can benefit vastly because of this digital wave. This paper examines the idea of "phygitalization," a term used to describe the merging of the digital and physical domains, in commercial real estate. We explore how Blockchain provides a transparent and safe environment for real estate transactions and how NFTs bring distinct, verifiable ownership structures. Simultaneously, GIS offers improved spatial analysis and visualisation capabilities, which support better informed decision-making. The paper offers a fresh framework for modernising commercial real estate, addressing issues with conventional methods, and clearing the path for a more effective, safe, and transparent market through a thorough analysis of these technologies. The suggested integration streamlines operations and also opens new avenues for value creation and investment in the real estate sector.

Keyword : Phygitalization, Blockchain, Real Estate, NFT, GIS

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February 15, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References


1. Adam, M. F., & Fazekas, I. (2021, September 15). Are emerging technologies helping win the fight against corruption? A review of the state of evidence. Information and Economics Policy. Advance online publication. https://doi.org/10.1016/j.infoecopol.2021.100950 2. Ahmad, M. A., Alqarni, A. A., Almazroi, A. L., & Alam, L. (2021). Real estate management via a decentralized blockchain platform. Computers, Materials & Continua, 66(2), 1813-1822. https://doi.org/10.32604/cmc.2020.011925 3. Akhmetbek, Y., & Špaček, D. (2021). Opportunities and barriers of using blockchain in public administration: The case of real estate registration in Kazakhstan. NISPAcee Journal of Public Administration and Policy, 14(2), 41-64. 4. Alketbi, A., Nasir, Q., & Abu Talib, M. (2020). Novel blockchain reference model for government services: Dubai government case study. International Journal of Systems Assurance Engineering and Management, 11(6), 1170-1191. https://doi.org/10.1007/s13198-019-00945-w 5. Allessie, D., Sobolewski, M., Vaccari, L., Pignatelli, F., European Commission, Joint Research Centre. (2019). Blockchain for digital government: An assessment of pioneering implementations in public services. Luxembourg: Publications Office of the European Union. 6. Balaji, L., & Muthukannan, M. (2021). European Journal of Remote Sensing; Cagiari, Vol. 54, Iss. sup2, (Mar 2021): 167-175. 7. Bennett, R. M., Pickering, M., & Kara, A. K. (2021). Hybrid approaches for smart contracts in land administration: Lessons from three blockchain proofs-of-concept. Land, 10(2), 220. https://doi.org/10.3390/land10020220 8. Benbunan-Fich, R., & Castellanos, A. (2018). Digitalization of land records: From paper to blockchain. In San Francisco (p. 10). 9. Bouraga, S. (2021). On the Popularity of Non-Fungible Tokens: Preliminary Results. Conference on Blockchain Research & Applications for Innovative Networks and Services, 49-50. 10. Chirtoaca, D., Ellul, J., & Azzopardi, G. (2020). A Framework for Creating Deployable Smart Contracts for Non-fungible Tokens on the Ethereum Blockchain. IEEE International Conference on Decentralised Applications and Infrastructures, 100-105. 11. Dinesh Kumar, R., & Manaswini, V. N. S. (2021). Chapter 6 - Applications of blockchain in smart cities: Detecting fake documents from land records using blockchain technology. In S. Krishnan, V. E. Balas, E. G. Julie, Y. H. Robinson, & R. Kumar (Eds.), Blockchain for Smart Cities (pp. 105-117). Elsevier. 12. Karandikar, N., Chakravorty, A., & Rong, C. (2021). Blockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure. Sensors, 21(3822). 13. Saginor, J., Simons, R., & Throupe, R. (2011). A meta-analysis of the effect of environmental contamination on non-residential real estate values. Journal of Property Investment and Finance, 29(4), 460–478. 14. Singh, J., & Singh, P. (2021). Distributed Ownership Model for Non-Fungible Tokens. Smart and Sustainable Intelligent Systems, 22, 309-321. 15. Shtan, M. V. (2016). Application of GIS methods in the framework of a comparative approach to real estate valuation. Property Relations in the Russian Federation, 11(182), 41–46. 16. Springer, T. M., & Ambrose, B. W. (1993). Spatial Variation of Nonmetropolitan Industrial Location. Journal of Real Estate Finance and Economics, 7(1), 17–27.