Modeling of the need for parking space in the districts of Moscow metropolis by using multivariate methods

Abstract

The growth of metropolis cities and consequently the number of vehicles cruising within their boundaries create a permanent problem of dissatisfaction with the amount of parking space and its over-occupancy. The results of continuous observation of parking lots in Moscow and data on registered cars in the city districts was the initial basis for this study. The data was processed by IBM SPSS Statistics 20 statistical program to obtain descriptive statistics indicators of parking space in Moscow, the analysis of cause-and-effect relations and subsequent multivariate modeling using regression analysis; log it regression; discriminant analysis; "classifi cation trees" (decision tree). The results clearly show the possibility of applying the methods of multivariate statistics, log it regression and "classifi cation trees". Both models allow for using the explanatory variables "proportion of parking lots with violations" and "number of parking spaces in the street and road network" to analyze the impact on parking lot occupancy. Also, the descriptive statistics analysis revealed that when the number and proportion of parking lots with violations are 2 times higher on average in the districts with over-occupied parking lots versus the districts where the parking lot occupancy is not so high, and the number of paid parking lots is over 10 times less. The increase in the proportion of parking spaces with violations ranging from 0 to 0.2% entails a sharp increase in parking space occupancy (up to 90%), while a further increase in the proportion of parking spaces with violations does not entail a signifi cant increase in the parking occupancy.

Influence of Passenger Flow at the Station Entrances on Passenger Satisfaction Amid COVID-19

“…In December 2019, passenger traffic was measured during rush hour in the entrance groups of station facilities. The study used the method of observation [ 6 , 71 ]. Measurements of passenger flow were carried out, considering fluctuations of passenger flow during the day and the week.…”

“…The authors have conducted surveys aimed at studying consumer preferences that affect the passengers’ satisfaction and analysis of flows at the entrances and forecasts of the passenger flows. When modeling flows, we used statistical forecasting methods [ 6 ].…”

Access to the Rail Station as a Customer Value: Simulation of Passenger Flows in Rail Stations with Disinfection Gateway Installations

“…Control measurements were repeated in days and peak load times of passenger traffic at key nodes. The survey was conducted from March 03 to March To measure the visitor flow at station entrances, the observation technique was used as described by Malhotra and Birks [13] and Sidorchuk et al [12] based on a sample study of the number of passengers at the train station entrance/exit. The study was performed with regard to differences in passenger flow during a day and on each weekday.…”

“…The simulation is carried out with or without the installation of disinfection gateways. While modeling, we use statistical forecasting methods as described in the literature [12].…”

Multi-criterial analysis of ground public transport passengers satisfaction

“…Было проведено онлайн исследование пассажиров маршрутной сети общественного транспорта в городе Москве. Общий подход к методологии исследования был определен с использованием подходов, описанных в литературе [7].…”