9791221502893_35.pdf

A significant challenge has long persisted in the construction industry: the lack of a robust incentive system to encourage and motivate workers to prioritize safety. While safety culture has been recognized as crucial, traditional approaches to incentivizing safe behaviours often encounter roadbloc...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_35
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spelling oapen-20.500.12657-890972024-04-03T02:23:29Z Chapter iSafeIncentive: Transforming Construction Safety Culture through Blockchain Incentives Kim, Dohyeong Soltani, Mehrtash Pedro, Akeem Yang, Jaehun Tran, Si Lee, Doyeop Park, Chansik Safety Culture Incentive Programs Blockchain Technology Computer Vision Construction Industry Workplace Safety thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization A significant challenge has long persisted in the construction industry: the lack of a robust incentive system to encourage and motivate workers to prioritize safety. While safety culture has been recognized as crucial, traditional approaches to incentivizing safe behaviours often encounter roadblocks, such as heavy documentation processes, recognition delays, and resource allocation difficulties. This paper addresses this problem by introducing an innovative approach to incentivize and cultivate a safety culture in the construction industry. iSafeincentive integrates blockchain technology and computer vision to develop a novel solution revolutionizing safety monitoring and incentive distribution. Computer vision technology is employed for real-time analysis of safety conditions based on on-site images, ensuring the immediate identification of safe practices. Simultaneously, blockchain technology safeguards the incentive distribution process's integrity and transparency, addressing traditional methods' shortcomings. The findings suggest that iSafeincentive offers an efficient and secure method for rewarding safe activities among workers. Furthermore, the integrated platform offers a promising pathway to enhance job site safety practices, ultimately reducing accidents and incidents within the construction sector 2024-04-02T15:46:26Z 2024-04-02T15:46:26Z 2023 chapter ONIX_20240402_9791221502893_66 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89097 eng Proceedings e report application/pdf n/a 9791221502893_35.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_35 Firenze University Press 10.36253/979-12-215-0289-3.35 10.36253/979-12-215-0289-3.35 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 8 Florence open access
institution OAPEN
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language English
description A significant challenge has long persisted in the construction industry: the lack of a robust incentive system to encourage and motivate workers to prioritize safety. While safety culture has been recognized as crucial, traditional approaches to incentivizing safe behaviours often encounter roadblocks, such as heavy documentation processes, recognition delays, and resource allocation difficulties. This paper addresses this problem by introducing an innovative approach to incentivize and cultivate a safety culture in the construction industry. iSafeincentive integrates blockchain technology and computer vision to develop a novel solution revolutionizing safety monitoring and incentive distribution. Computer vision technology is employed for real-time analysis of safety conditions based on on-site images, ensuring the immediate identification of safe practices. Simultaneously, blockchain technology safeguards the incentive distribution process's integrity and transparency, addressing traditional methods' shortcomings. The findings suggest that iSafeincentive offers an efficient and secure method for rewarding safe activities among workers. Furthermore, the integrated platform offers a promising pathway to enhance job site safety practices, ultimately reducing accidents and incidents within the construction sector
title 9791221502893_35.pdf
spellingShingle 9791221502893_35.pdf
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title_full 9791221502893_35.pdf
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title_full_unstemmed 9791221502893_35.pdf
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publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_35
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