Abstract
Abstract The author attempts to apply a multi-criteria spatial analysis of issues related to urban public transport in terms of optimizing its usage and accessibility. Publicly available spatial and statistical data were used. Desktop GIS computer software was the primary tool and work environment – due to its popularity and wide interdisciplinary application in studying geospatial phenomena, processes, and dependencies. The article consists of two parts. The first identifies the research area, indicates the data used and the methodology of the conducted analysis, while the second presents the results of analyses in optimizing the functioning of public transport in Mińsk Mazowiecki (Mazowieckie Voivodeship, Poland) and recommendations that may contribute to disseminating the use of multi-criteria analyses in medium-sized cities.
Highlights
The development of tools and environments for the description of geographical space has led to the dissemination of spatially oriented analyses
The first identifies the research area, indicates the data used and the methodology of the conducted analysis, while the second presents the results of analyses in optimizing the functioning of public transport in Mińsk Mazowiecki (Mazowieckie Voivodeship, Poland) and recommendations that may contribute to disseminating the use of multi-criteria analyses in medium-sized cities
The results indicated that residents of multi-family housing are more frequent users of public transport than residents of single-family houses
Summary
The development of tools and environments for the description of geographical space has led to the dissemination of spatially oriented analyses. According to Chakhar and Mousseau (2015), multi-criteria analysis is a comprehensive analytical study of the interdependence of spatial data This type of analysis was indicated as a model solution in the discussed topic of optimization analyses in the GIS envir onment. Transport accessibility is one of the significant factors determining the functional, social, cultural, and spatial development of cities striving for sustainable development (Korneć, 2018). The analyses may represent data of different impact scales and complexity, for example, the travel time to a single educational institution (Bielecka & Filipczak, 2010), the availability of many public facilities on a city scale (Burdziej, 2016), evaluation of time availability of the selected rescue service of a large city (Sitek et al, 2020) or an assessment of the availability of a sustainable transport system in a large agglomeration with a regional impact zone (Ford et al, 2015). There is a significant need to analyse the factors determining the decision-making process of its choice as the means of transport and its accessibility
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