Analysis Of Urban Road Network Structural Parameters The Case Of Adama City:

Abstract

This research modeled the transport system to estimate the land use transport interaction to ultimately determine the level of infrastructure that is required to support the economic activity in the study area. It is well understood that, infrastructure is a profound determinant of nationhood, a measure of a country’s success on the world stage. The true goal of an urban road network is to have access and link to destination places. To investigate road transport network and urban land use interaction, the research employed QGIS techniques and Remote Sensing for the cross-sectional efficiency of the system. The objectives of this study have to provide information on urban land use patterns, assess potential travel demand, and identify which network-based indicators can be used to identify inadequate infrastructure. Types of data obtained through methods such as socio-economic data, land use map, current road network, and satellites data. And also this study used QGIS as a tool for analyzing, integrating and displaying information about the road network of Adama city. To demonstrate the use of road network analysis, this project focused on determining the best route between two destinations, the closest facility from a given incident, and a service area for a given facility. For this purpose the database is created using linear referencing tables. Data used by this project included public data and data generated using a Global Positioning System (GPS). Once the analysis is completed, a route representing the (the best route) shortest travel distance, the route representing the closest facility and the polygons representing the service area were developed. The result of this project indicated that road density, higher trip production, and attraction are exhibited in the central areas (characterized by high population and important socioeconomic activities of the city including jobs, service centers, and schools). Residential proximity to the roads within the central areas is 300m, allowing more people to access these roads. However, in the periphery, people have to travel more than 1km to access the existing road infrastructure, indicating the inadequacy of the system. The overall conclusion obtained from the indicators shows that there is less road infrastructure in the peripheral regions of the city and the central area clearly has a capacity limitation.