Correlating Land-Use Characteristics and Parking Demand Conditions: A Case Study in Yeka Sub City, Addis Ababa-Ethiopia
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Date
2024-10
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Addis Ababa University
Abstract
The increasing car ownership in Addis Ababa is causing increased parking issues, leading to traffic and impacts. Current parking lots are high in traffic and population density but cannot meet city needs due to their location and capacity. A more effective parking system is needed, requiring a thorough examination of existing conditions and analysis of suitable locations for new parking lots. This study investigates parking conditions and land use characteristics in Yeka sub city, Addis Ababa, focusing on on-street parking areas and available off street parking. It assesses the city's current parking issue in terms of available supply and required demand in terms of land use.
A Multi-Criteria Decision Analysis (MCDA) approach is used to solve the parking location selection analysis problem. The weightage of criteria used in the analysis is estimated, and potential parking solutions or site selections for new parking areas are identified using a combination of GIS & Analytic Hierarchy Process (AHP) techniques, identifying primary & sub-criteria, with a focus on travel absorption centers (land use), parking, and transportation as the primary criteria for selecting parking lots. The combination of GIS and AHP provides an efficient and optimal strategy for site selection & locating suitable parking locations. The AHP approach, when applied to criteria, established relative weights, whilst GIS enabled spatial analysis to discover ideal parking spaces. The MCDA results indicate that the most suitable parking lot.
The study identifies accessibility to main roads as the criterion carrying the greatest weight (0.6472), while accessibility to church and mosque facilities (0.0205). The study area, primarily in the south-west of the sub city, has high suitability for public parking, with 0.924 square kilometers (1.057%) being extremely suitable. The remaining areas are suitable, moderately suitable, less suitable, and unsuitable covers 6.972, 9.52, 1.507, and 80.945 percent of the study area. To summarize, the integration of GIS with sophisticated aggregation and suitability analysis methodologies has a high potential to integrate and evaluate several geographical data sets at the same time, particularly in site selection studies. The study identified the suitable area for parking having 1.057% being extremely suitable with different suitability ranges. The study is a critical resource for sustainable urban management and decision-making, offering insights into future urban planning and identifying ideal parking lot sites.
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Parking, Land use, Multi-Criteria Decision Analysis (MCDA), Analytic Hierarchy Process (AHP), GIS, suitable parking location, Yeka sub city.