ASSESSMENT OF AUTO-ATTRACTIVENESS OF MICRO-DISTRICTSIN A LARGE CITY (ON THE EXAMPLE OF IZHEVSK)

Aim. The paper analyzes traffic flows and assesses the auto-adaptability of micro-districts of large Russian cities. The object of this study is the capital of the Udmurt Republic-Izhevsk, the twentieth most populous city of the Russian Federation with the population of more than 646 thousand inhabitants. The subject of the study is the auto-attractiveness of point and area objects on the territory of Izhevsk within the framework of the concept of a single parking space of the city, including the determination of locations of paid parking lots. Methodology. The study is based on the materials of the previously conducted analysis of traffic flows in Izhevsk, as well as statistical data obtained directly during the work in August and September of 2021. The assessment of auto-attractiveness is performed using both traditional (in their original form) and modified indicators and methods. A modified gravity coefficient is used to calculate the auto-attractiveness. Results. Auto-attractive sites on the territory of Izhevsk are identified, the capacity of car parks is estimated for individual districts of the city, and the most ‘problematic’ districts are outlined. Research implications. The possibility of applying a gravitational coefficient for calculating auto-attractiveness has been proved. The subsequent comparison of the car parking capacity and auto-attractiveness of medium and large objects of car attraction has made it possible to reveal the most problematic districts on the territory of Izhevsk, which require special approaches and priority measures from the city authorities. The results were reported at a meeting of the Public Chamber of Izhevsk, which supported the concept of creating a single parking space in the city.

traffic flows, autocentrism, assessment of auto-attractiveness, concept of a single parking space, transport of Izhevsk

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