2018
DOI: 10.1007/s10708-018-9882-3
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Spatial analysis of urban digital divide in Kigali, Rwanda

Abstract: Access to Information and Communications Technologies (ICTs) and its potentials for cities are often uneven across geographies and demographics, a condition that has been referred to as the digital divide. Given the invisibility of digital access, certain geo-demographic groups could face the risk of digital exclusion. However, where not aspatial, most studies explore the digital divide at macro-spatial levels (national and regional levels), which makes them less relevant for knowledge generation and policies … Show more

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Cited by 48 publications
(38 citation statements)
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“…Digital divides refer to the gap between demographics and regions that have access to modern ICT and those that do not or have restricted access. This technology can include telephones, televisions, personal computers, and the Internet (Otioma et al 2019). Governments may unintentionally generate fresh electronic divides by eliminating off-line access for services that can utilize online methods, an action that encourages the digital-first method.…”
Section: Worldwide E-government and The Covid-19 Pandemicmentioning
confidence: 99%
“…Digital divides refer to the gap between demographics and regions that have access to modern ICT and those that do not or have restricted access. This technology can include telephones, televisions, personal computers, and the Internet (Otioma et al 2019). Governments may unintentionally generate fresh electronic divides by eliminating off-line access for services that can utilize online methods, an action that encourages the digital-first method.…”
Section: Worldwide E-government and The Covid-19 Pandemicmentioning
confidence: 99%
“…Many governments are making tremendous efforts to achieve high levels of financial inclusion for the benefit of their citizens. There are many success stories on financial inclusion around the World particularly in India (Nimbrayan et al, 2018), Rwanda (Lichtenstein, 2018;Otioma et al, 2019), Kenya (Ndung'u, 2018;Hove and Dubus, 2019) and Peru (Cámara and Tuesta 2015). In India, the PMJDY scheme improved the level of financial inclusion for many of its citizens and became a big success in the early years.…”
Section: Some Foundationsmentioning
confidence: 99%
“…In this study, it is hoped that the spatial changes under a certain scale and the related driving factors can be explored and used to predict urban development. So, through comparing the literature [48,49], the geo-weighted regression analysis is used to describe it, since this analysis takes into account the local effects of spatial objects, it is more accurate than the rest of the space analyses [50].…”
Section: Geospatial Association Analysismentioning
confidence: 99%
“…In other words, the area where the density surface difference is greater than 20% is determined as the city center. For the second target, although the spatial panel model and the minimum binary model used in the previous study could deal with the relationship between different regional spaces and their associated influences, we first need to assume that the relationship would not change with the spatial position, so it is necessary to consider spatial heterogeneity [48]. Geographically weighted regression (GWR) model embeds spatial position regression parameters and reflects the spatially unstable nature of the parameters in different regions, thus it improves the relationship that variables can vary with spatial location [50].…”
Section: Plos Onementioning
confidence: 99%