Projecting of Urban Transport Infrastructure Considering the Human Factor

Abstract

Projecting of urban transport infrastructure, which forms a comfortable habitat and development of territories, is impossible without forecasting the parameters of transport and passenger flows. These parameters are formed under the influence of the subjective choice of urban residents on the routes along the road and route network. The study aims to identify factors affecting the distribution of transport and passenger flows through the existing urban transport network. It is revealed that the gravity function of employees of city-forming enterprises, which determines the emergence and absorption of transport and passenger flows of the city districts, can be described by parameters of urban structure, socio-economic factors and parameters that characterize zones of residence and main area of employment. The developed model was tested on real data from Kharkov - the second largest city in Ukraine.

Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

“…The premise of a smart city is that with the right information at the right time, citizens, service providers, and municipalities will be able to make better decisions that will improve the quality of life of inhabitants and the overall urban sustainability [10,27,[29][30][31][32].…”

“…When estimating transport and passengers' urban trips, researchers use three groups of mathematical models: deterministic, probabilistic, and heuristic, as well as their possible combinations. One of the most common types of deterministic models is the gravity model trip distribution function, which describes the number of trips between transport zones with their known capacity for departures (origins) and arrivals (destinations) [10]. In this case, the probability that a population chooses a transit route between origin-destination nodes (zones) is described by the gravity function, which, according to researchers, also depends on the distance or time of travel between the urban zones.…”

“…This will give a more adequate type of trip distribution function. Previous studies have formalized the trip distribution function of employees of city-service enterprises [10]. For other groups of the urban population, the trip distribution function has not yet been estimated.…”