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From phone booths to Wi-Fi kiosks: the spatial inequality of public connectivity in New York City

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  • Wang, Ryan Yang

Abstract

This paper offered the first-ever examination of the spatial patterns of public Wi-Fi hotspots deployment in New York City. It utilized the Spatially Aware Technology Utilization Model to investigate what determinants might impact the spatial distribution of public Wi-Fi hotspots deployment with a Bayesian spatial modeling approach. The hot spot analysis revealed that the public Wi-Fi hotspots deployment is not spatially equal across the five boroughs of New York City. While acknowledging the efforts of the public Wi-Fi deployment to address digital inequalities, particularly in Hispanic communities and areas with high income inequality, the findings indicated that it fell short in rectifying ICT access disparities between digitally marginalized areas and the rest of the city. Importantly, the study introduced a spatial perspective when studying ICT practices, emphasizing that accurately estimating the identified relationships necessitates the incorporation of spatial structure in the theorization and modeling process.

Suggested Citation

  • Wang, Ryan Yang, 2025. "From phone booths to Wi-Fi kiosks: the spatial inequality of public connectivity in New York City," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  • Handle: RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002768
    DOI: 10.1016/j.techfore.2025.124245
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    1. Pick, James B. & Sarkar, Avijit & Johnson, Jeremy, 2015. "United States digital divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 16-32.
    2. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    3. Pick, James B. & Nishida, Tetsushi, 2015. "Digital divides in the world and its regions: A spatial and multivariate analysis of technological utilization," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 1-17.
    4. Grubesic, Tony H., 2006. "A spatial taxonomy of broadband regions in the United States," Information Economics and Policy, Elsevier, vol. 18(4), pages 423-448, November.
    5. Anca Elena-Bucea & Frederico Cruz-Jesus & Tiago Oliveira & Pedro Simões Coelho, 2021. "Assessing the Role of Age, Education, Gender and Income on the Digital Divide: Evidence for the European Union," Information Systems Frontiers, Springer, vol. 23(4), pages 1007-1021, August.
    6. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    7. Mingfeng Wang & Felix Haifeng Liao & Juan Lin & Li Huang & Chengcheng Gu & Yehua Dennis Wei, 2016. "The Making of a Sustainable Wireless City? Mapping Public Wi-Fi Access in Shanghai," Sustainability, MDPI, vol. 8(2), pages 1-15, January.
    8. ., 2021. "The coronavirus pandemic and international trade policy," Chapters, in: Navigating the Free Trade–Fair Trade Fault-Lines, chapter 0, pages 89-107, Edward Elgar Publishing.
    9. Hernan Galperin, 2005. "Wireless Networks and Rural Development: Opportunities for Latin America," Information Technologies and International Development, MIT Press, vol. 2(3), pages 47-56.
    10. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    11. Susmita Dasgupta & Somik Lall & David Wheeler, 2005. "Policy Reform, Economic Growth and the Digital Divide," Oxford Development Studies, Taylor & Francis Journals, vol. 33(2), pages 229-243.
    12. James Pick & Avijit Sarkar & Elizabeth Parrish, 2021. "The Latin American and Caribbean digital divide: a geospatial and multivariate analysis," Information Technology for Development, Taylor & Francis Journals, vol. 27(2), pages 235-262, April.
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