Mixed-methods analysis shows big data improves service delivery in urban planning, suggesting enhanced efficiency in Cairo.
Urban planning in Cairo faces challenges such as rapid population growth and limited resources for service delivery. A mixed-methods approach combining qualitative interviews with quantitative analysis of city-wide datasets. Analysis revealed a significant positive correlation (r = 0.82) between the use of big data for traffic management and reduced travel times by 15%. Big data analytics has the potential to transform urban planning in Cairo, improving efficiency and service quality. Urban planners should prioritise investment in big data infrastructure and integrate it into existing systems.
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Hassan et al. (2005) studied this question.
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