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Examining the tradeoff between residential broadband service coverage and network connectivity using a bi‐objective facility location model

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  • Gunhak Lee
  • Ningchuan Xiao

Abstract

The spatial distribution of current telecommunication infrastructures has led to the inequality of broadband access in residential areas. Addressing such inequality requires the consideration of many criteria that are often conflicting. In this paper, we focus on two important factors using a bi‐objective model that maximizes the overall broadband coverage and the services quality as measured by network connectivity. This model is applied to the DSL services in Fairfield County, Ohio. We explore the tradeoffs among different facility location scenarios and discuss their implications to the location of residential broadband services. Resumen La distribución espacial de la infraestructura de telecomunicaciones actual ha conllevado una desigualdad en el acceso a banda ancha en áreas residenciales. El tratar dicha desigualdad requiere el considerar muchos criterios que a menudo están en conflicto. En este artículo nos centramos en dos factores importantes utilizando un modelo biobjetivo que maximiza la cobertura en general de banda ancha y la calidad de servicios medidos mediante la conectividad de red. Este modelo se aplica a servicios de DSL en el condado de Fairfield, Ohio. Exploramos las ventajas relativas entre diferentes escenarios de localización de servicios y discutimos sus implicaciones en la localización de servicios residenciales de banda ancha.

Suggested Citation

  • Gunhak Lee & Ningchuan Xiao, 2009. "Examining the tradeoff between residential broadband service coverage and network connectivity using a bi‐objective facility location model," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 547-562, August.
    • Handle: RePEc:bla:presci:v:88:y:2009:i:3:p:547-562
    DOI: 10.1111/j.1435-5957.2008.00206.x
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    Cited by:

    1. Ming Zhao & Qiuwen Chen, 2015. "Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 163-189, January.
    2. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.
    3. Gunhak Lee & Morton E O'Kelly, 2011. "Competitive Location Modeling with a Rank Proportional Allocation," Environment and Planning B, , vol. 38(3), pages 411-428, June.
    4. Yu Wang & Bindong Sun & Sixu Wu & Wan Li & Tinglin Zhang, 2021. "Can the internet reshape the national city size distribution? Cross‐country evidence," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1254-1272, October.

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