Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

Year 2024, , 34 - 48, 15.02.2024

Ahmet Şirin , Arzu Erener

https://doi.org/10.26833/ijeg.1261677

Abstract

Means of transportation are a large part of our daily life. Along with the development of technology, we encounter different types of vehicles, but we also encounter different problems. For electric scooters, which are one of the new types of vehicles that are seen to be used in vehicle traffic, it seems that there are question marks among the public about the use of vehicles and the rules. It is seen that the legal regulations and rules in this field are not sufficiently standardized in Turkey yet. Among these question marks, safety, comfort, and vehicle characteristics draw attention to which roads electric scooters should choose during their use. In the research, various applications and examinations were made on the parameters of the slope, road class, length of the road, and land cover, among the parameters considered in the optimal road preferences for electric scooters, where there is a starting point and an ending point. For the research, Dijkstra's Algorithm, QGIS GIS software, python programming language, and various modules were used to use the shortest path problem, cost calculations, and various data processing methods. These applications were compared within the Work titles and the effects of different parameters on the optimal route preferences were compared and discussed. The results of the research were discussed in terms of relevance, and it was determined what improvements could be added and what effects it could have on other research that could be done on this subject. As a result, it has been seen that the parameters in the research directly affect the results in the applications in different works, bringing diversity, and the expected results achieved. It has been determined that the addition of additional parameters such as the maximum distance or time that can be traveled for vehicles such as electric scooters, and the use of more sensitive and various sources will further develop this research and its importance in this type of research.

Keywords

GIS, Python, Network Analysis, Shortest Path, Electric Scooter

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