Browsing by Author "Shingiro, Clement"

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    Strategic Transportation Planning: Co-Site Planning at Coolwood SA Company
    (East African Nature and Science Organization, 2024-05-23) Tukashaba, Shafan; Shingiro, Clement
    This technical report presents a meticulous exploration of the site planning endeavours undertaken by CoolWood SA, a distinguished entity in wood furniture production, as it endeavours to relocate its operations to Hasselt, Belgium. With over 15 years of industry expertise, CoolWood SA seeks to optimize spatial utilization and operational efficiency through strategic site planning. The report delves into the intricacies of site location, area adjustment, department allocation, external flow access to the warehouse, and current road infrastructure analysis. Utilizing a multifaceted approach, CoolWood SA collaborated with Afro International Transport Planning Consultants to employ various software tools and adhere to international standards throughout the planning process. Key findings include detailed area adjustments, department allocations aimed at enhancing operational efficiency, and analyses of internal circulation, parking requirements, and external traffic movement. Notable measures such as prioritizing employee safety, accommodating diverse transportation modes, and promoting cleanliness and hygiene within the facility are meticulously outlined. The report concludes with insights gleaned from sight distance analyses, swept analysis simulations, and overarching recommendations for CoolWood SA to elevate safety standards and facilitate industry growth. By implementing the proposed strategies and measures, CoolWood SA stands poised to navigate its relocation journey with precision and foresight
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    Strategic Transportation Planning: Soft Mobility Network Planning Technical Report
    (East African Nature and Science Organization, 2024-05-21) Tukashaba, Shafan; Shingiro, Clement
    This technical report presents a comprehensive approach to soft mobility network planning, focusing on assessing the potential for growth in bicycle infrastructure. Utilizing GIS-based analysis and multi-criteria decision-making, the study aims to identify and prioritize areas for new bike infrastructure development. The methodology involved defining influential factors, selecting variables from available datasets, assigning value levels, weighting parameters, and generating cycling infrastructure potential maps. Factors such as connectivity, safety, and attractiveness are considered, with each variable assessed and scored based on current conditions and ideal benchmarks. The results highlight high-potential areas for infrastructure improvement and propose desired lines to enhance the existing network. Limitations of the study, including data currency and grid dimensions, are acknowledged, suggesting avenues for future research and improvement. Overall, the study underscores the importance of integrated planning approaches and the utilization of spatial analysis tools in promoting cycling as a sustainable and accessible mode of transportation