GIS modelling of the public transport loading in city morning rush hour

Geoinformatics

UDC:

528.9

DOI:

10.22389/0016-7126-2025-1020-6-23-33

1 Romakh E.A.

2 Karpachevskiy A.M.

Year:

2025

№:

1020

Pages:

23-33

Lomonosov Moscow State University (MSU)

1,

2,

Abstract:

This research was made for passenger flow modelling in urban transport system. There are some new methods to solve this task, but they require some special programs like ArcGIS or some data like phone cells usage. This is a matter of privacy, and sometimes it is not desired to be used in research due to financial reasons. This study is focused on publicly distributed information like master plan materials. There are five steps to perform the result. The first is a building category prediction through logistic regression. The next one is construction elevation modelling through linear regression. Its levels were used as elevation metrics. After that is population distribution across the city using volume of building. The fourth is workplace distribution across buildings in the city using their volume and category. Finally, there is loading estimation which consists of creating correspondence matrix. This methodology was probed in Kazan and Nizhniy Novgorod cities, RF. As a result, overloaded places were identified. They are near city center in the route from outskirts

Keywords:

cartography, GIS based mapping, GTFS, machine learning, network analysis, open data, OpenStreetMap, public transport

The research was carried out within the state budgetary theme 121051400061-9 "Development of methods and technologies of cartography, geoinformatics and aerospace sensing in nature and society research"

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Citation:

Romakh E.A.,

Karpachevskiy A.M.,

(2025) GIS modelling of the public transport loading in city morning rush hour. Geodesy and cartography = Geodeziya i Kartografiya, 86(6), pp. 23-33. (In Russian). DOI: 10.22389/0016-7126-2025-1020-6-23-33