Agent-based Model of Broadband Adoption in Unserved and Underserved Areas

Agent-based Model of Broadband Adoption in Unserved and Underserved Areas
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Total Pages : 52
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ISBN-10 : OCLC:1262322156
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Book Synopsis Agent-based Model of Broadband Adoption in Unserved and Underserved Areas by : Ankit Agarwal

Download or read book Agent-based Model of Broadband Adoption in Unserved and Underserved Areas written by Ankit Agarwal and published by . This book was released on 2021 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In the last two decades, demand for broadband internet has far outpaced its availability. The Federal Communications Commission's (FCC) 2020 Broadband Deployment report suggests that at least 22 million Americans living in rural areas lack access to broadband internet. With the COVID-19 pandemic affecting normal life, there is an overwhelming need to enable unserved and underserved communities to adapt to the 'new normal'. To address this challenge, federal and state agencies are funding internet service providers (ISPs) to deploy infrastructure in rural communities. However, policymakers and ISPs need open-source tools to predict take-rates of broadband service and formulate effective strategies to increase the adoption of high-speed internet. We propose using an agent-based model grounded in 'The Theory of Planned Behavior' - a long-established behavioral theory that explains the consumer's decision-making process. The model simulates residential broadband adoption by capturing the interaction of a broadband service's attributes with consumer preferences. We demonstrate the model's performance, present a case study of an unserved area, and perform a sensitivity analysis. The major findings support the appropriateness of using theoretically based agent-based models to predict take-rates of broadband service. We also find that the take-rates are highly influenced by presence of existing internet users in the area as well as affordable or subsidized prices. In the future, this model can be extended to study the impact of online education, telecommuting, telemedicine, and precision agriculture on a rural economy. This type of simulation can guide evidence-based decision-making for infrastructure investment based on demand as well as influence the design of market subsidies that aim to reduce the digital divide"--Abstract, page iii.


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