IF 12.9 1区 管理学 Q1 BUSINESS
Jonas Franken , Thomas Reinhold , Timon Dörnfeld , Christian Reuter
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引用次数: 0

摘要

海底数据电缆(SDC)网络传输大部分国际和洲际数据交换。经过三十年的海底光缆横跨大洋的安装,几乎所有沿海国家和岛国都可以接入这个唯一的全球固定基础设施网络。然而,可用 SDC 接入点的数量仍存在相当大的不平等,给连接较少的国家造成冗余不足。以往的研究假设了影响互联网基础设施建设的多种因素,但未能通过推理统计来验证这些假设。这项研究强调了国家层面的因素,这些因素使得骨干网接入服务对 SDC 项目决策者的吸引力更大或更小。我们对全球国家年数据(n = 4916)进行回归分析后发现,社会经济(人口、国内生产总值)、政治(国家脆弱性、冲突)和地理因素(地震灾害、邻近领土)对正在进行和计划进行的接入数量有显著影响。这项工作可作为进一步研究的基础,利用定量统计揭示物质互联网基础设施建设中的隐藏结构,并支持未来国际基础设施发展资源分配的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hidden structures of a global infrastructure: Expansion factors of the subsea data cable network

Hidden structures of a global infrastructure: Expansion factors of the subsea data cable network
The network of subsea data cables (SDC) transmits the majority of international and intercontinental data exchanges. After thirty years of fiber-optic SDC installation across the oceans, almost all coastal and island countries gained access to the only global fixed infrastructure network. Still, there is considerable inequality in the number of available SDC accesses, creating deficits in redundancy for less connected states. Previous research hypothesized multiple factors that influenced the build-up of internet infrastructures but failed to verify these assumptions through inferential statistics. This work highlights the national-level factors that made backbone access provision more – or less – attractive to SDC project decision-makers. Our regression analysis of global country-year data (n = 4916) found that socio-economic (population, GDP), political (state fragility, conflict), and geographic factors (seismic hazard, neighboring territories) significantly influenced the number of active and planned accesses. This work can serve as a foundation for further research leveraging quantitative statistics to unveil hidden structures in the construction of material internet infrastructures and support sustainability in the future allocation of international infrastructure development resources in general.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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