Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt: An Analysis
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| Autores principales: | , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2007
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| _version_ | 1866901873196269568 |
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| author | Mahmoud, Amira El-Gamal, Ahmed Abdel-Hamid, Hussein Ibrahim, Nourah |
| author_facet | Mahmoud, Amira El-Gamal, Ahmed Abdel-Hamid, Hussein Ibrahim, Nourah |
| contents | <p>The urban environment of Cairo, Egypt is characterized by rapid population growth and increasing demand for services such as transportation, housing, and healthcare. The research employed a mixed-methods approach combining qualitative interviews with quantitative analysis of existing data sets related to urban services in Cairo. Analysis revealed significant disparities in public transportation use (35% using the metro, less than 10% using buses) and identified areas where service delivery could be optimised for better citizen engagement. Big data analytics has highlighted key inefficiencies that can inform targeted interventions to enhance urban services and infrastructure in Cairo. Implementing a predictive maintenance system for public transport vehicles based on usage patterns and reducing wait times at bus stops by reallocating resources could improve service delivery. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18848238 |
| institution | Zenodo |
| language | eng |
| publishDate | 2007 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt: An Analysis Mahmoud, Amira El-Gamal, Ahmed Abdel-Hamid, Hussein Ibrahim, Nourah Cairo GIS IoT Spatial Analysis Data Mining Urban Informatics Smart Cities <p>The urban environment of Cairo, Egypt is characterized by rapid population growth and increasing demand for services such as transportation, housing, and healthcare. The research employed a mixed-methods approach combining qualitative interviews with quantitative analysis of existing data sets related to urban services in Cairo. Analysis revealed significant disparities in public transportation use (35% using the metro, less than 10% using buses) and identified areas where service delivery could be optimised for better citizen engagement. Big data analytics has highlighted key inefficiencies that can inform targeted interventions to enhance urban services and infrastructure in Cairo. Implementing a predictive maintenance system for public transport vehicles based on usage patterns and reducing wait times at bus stops by reallocating resources could improve service delivery. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| title | Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt: An Analysis |
| topic | Cairo GIS IoT Spatial Analysis Data Mining Urban Informatics Smart Cities |
| url | https://doi.org/10.5281/zenodo.18848238 |