Open AccessResearch Into Demand for Intercepting Parking in the City of Rostov-On-Don
Author(s) -
D N Sorokina
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/988/2/022065
Subject(s) - parking space , ranking (information retrieval) , transport engineering , business , space (punctuation) , parking lot , public transport , car parking , computer science , civil engineering , engineering , operating system , machine learning
Thousands of cars come daily to the city of Rostov-on-Don. During working hours, the city’s street-road network is congested, it’s hard to find a parking space. Quite frequently, out-of-town drivers leave private transport in parking lots of large shopping centers at the entrance to the city and then make a change to public transport. However, this creates parking difficulties for those who actually come to shopping centers. This article discusses one of the possible ways to solve this problem, namely intercepting parking. This is confirmed by the data obtained in an a priori ranking of factors on the basis of a survey covering out-of-town drivers.