Enhancing Accessibility of Rural Populations through Vehicle-based Services
<|reference_start|>Enhancing Accessibility of Rural Populations through Vehicle-based Services: Improving access to essential public services like healthcare and education is crucial for human development, particularly in rural Sub-Saharan Africa. However, limited reliable transportation and sparse public facilities present significant challenges. Mobile facilities like mobile clinics offer a cost-effective solution to enhance spatial accessibility for the rural population.Public authorities require detailed demand distribution data to allocate resources efficiently and maximize the impact of mobile facilities. This includes determining optimal vehicle service stop locations and estimating operational costs. Our integrated approach utilizes GIS data and an accessibility scaling factor to assess spatial accessibility for rural populations. We tailor demand structures to account for remote and underserved populations. To reduce average travel distances to 5 km, we apply a clustering algorithm and optimize vehicle service stop locations. In a case study in rural Ethiopia, focusing on four key public services, our analysis demonstrates that mobile facilities can address 39-62\% of unmet demand, even in areas with widely dispersed populations. This approach aids decision-makers, including fleet operators, policymakers, and public authorities in Sub-Saharan Africa, during project evaluation and planning for mobile facilities. By enhancing spatial accessibility and optimizing resource allocation, our methodology contributes to the effective delivery of essential public services to underserved populations.<|reference_end|>
@article{pizzinini2024enhancing,
    title={Enhancing Accessibility of Rural Populations through Vehicle-based
  Services},
    author={Clemens Pizzinini, Nils Justen, David Ziegler, Markus Lienkamp},
    journal={arXiv preprint arXiv:2402.05118},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.05118},
    primaryClass={cs.CY}
}