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EN
The analysis presented herein is aimed at indicating disparities in accessibility to some selected travel destinations by means of private and public transport in the city of Szczecin. Accessibility is a simple measure of potential interactions between two points in space. For the purpose of the study, an original model of an individual transportation system has been developed using Google Maps API data. In order to do so, some GTFS and pedestrian-related data have been downloaded. To calculate source-destination travel times at certain times of the day for four different parameters of pedestrian motion speed, ArcGIS Network Analyst software has been used. Five research methods have been applied: the proximity measure, the population percentage measure, the cumulative accessibility measure, the potential accessibility index and the potential accessibility quotient. In order to develop an ultimate accessibility rating for housing estates in Szczecin, a synthetic accessibility measure has been developed. The synthetic accessibility measure consists of 9 standardised components/values for both public and private (car) transport. The potential accessibility to the population is part of the synthetic accessibility sub-measure. The isochrones have been drawn in order to analyse the workplaces and secondary schools. Moreover, data concerning accessibility to the nearest kindergarten, primary school, hospital, cinema, shopping centre and indoor swimming pool have also been taken into consideration when calculating the synthetic measure. In the case of potential accessibility measures, it is usually the highest in the city centre. Obviously, the nearer a particular facility, the higher its accessibility measure is. The only disparities between the measures for public and private transport are observed in areas which are not covered by the public transportation network.
EN
The article presents issues related to public transport time accessibility to some selected services, including indoor swimming pools, cinemas, hospitals and shopping centres. In order to measure the above-mentioned accessibility the short distance method was used in the following time periods: 7:00-9:00 am for the hospitals; 5:00-7:00 pm for the shopping centres; 6:00-8:00 pm for the cinemas and 6:00-8:00 pm for the swimming pools. For each time period the measures were taken every 15 minutes. The main purpose of the article is to determine temporal accessibility for various purposes, the number of people living at a certain time distance and the diversity of accessibility by public transport. The public transport accessibility to the selected services indicates areas where the accessibility is limited. Time deviations in the operation of the public transport were calculated for all the selected time periods. The results of both measurements and calculations are presented in graphic form. Moreover, the graph includes the number of Szczecin citizens living in different time accessibility areas and in places with the highest time deviations.
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