Analysis of the Nanded City Transportation Network Using Geographic Information Systems and Remote Sensing

Abstract

Beginning with the medieval period and continuing up to the present day, history unequivocally reveals that the expansion of a region was and continues to be a consequence of the development of a transportation network that is comprehensive and well-developed. Having seen important concerns or difficulties such as traffic congestion, delays, pollution, increased vehicle operating expenses, and road accidents, society has requested an efficient and unobstructed road network in contemporary times. This demand has been made in response to the issues that have been witnessed. When taking into consideration the aforementioned constraints and criteria, it is possible that one of the most efficient ways to address the issues at hand would be to conduct an investigation into the digitalized road network of the city or town in question. ArcGIS, which is a Geographic Information System (GIS) software package, is the most suitable tool for this sort of research. It is used for the purpose of making, analyzing, and building maps for the goal of obtaining information. The purpose of this study was to construct a road network map of Nanded City and to identify the fastest route between the two sites. This was accomplished by undertaking a comprehensive analysis and digitization of the city's existing road network system. The goal of this research was to significantly reduce the amount of traffic congestion that exists in the city. In ArcGIS, the Network Analyst is a specific analytical tool that is used to not only explore the nearest facility that is accessible in the network of digitized connecting lines, but it also help in optimizing the path during floods and other emergency scenarios. Furthermore, it is used to examine the facility that is closest to the network. One of the most helpful models that can be constructed via the use of Network Analysis is the shortest route link between the required origin and destination locations, which is shown in the following diagram. On the basis of the input of a number of different network characteristics, such as the crossing distance, the journey duration, and cost, the impediments, the vehicle constraints, and so on, the analysis is carried out. Using the Geographic Information System (GIS) environment, each of the primary roads that connect the various parts of the city of Nanded were digitized, and then they were used to further serve the objectives of the project.