Abstract
This article presents the results of public and private (car) transport accessibility modelling, which gives the room for the comparison of two types of transport throughout the whole day as well as the rush hours. Both public and private transport models are based on public available data, accessible via the Internet which is downloaded using a programming language and processed using the GIS tools. The public transport model is based on the GTFS data (General Transit Feed Specification), while the car model has been created from data on driving times derived from Google Maps® API. Both models presented in the article have been constructed for a specified period of time, namely from 5.00 am to 10.00 pm in 15-min intervals. The analysis of the above-mentioned models has allowed the comparison of differences in potential accessibility and its deviations at different times of the day. The disparities revealed by the study have indicated that there are certain times of the day when public transport is actually competitive with the private means of transport. The results of potential accessibility analysis are visualised with the use of maps, including the choropleth ones.
Highlights
Potential accessibility is a significant scientific concept used in transport research
The research method used in this particular paper is the potential accessibility index, which is characterised by the fact that the longer the distance or travel time, the lower the attractiveness of the destination, e.g. population or GDP (Geurs and van Wee 2004)
The visible differences in the potential accessibility maps created for public and private transport systems in Szczecin results mainly from travel times included in the model
Summary
Potential accessibility is a significant scientific concept used in transport research. The two aforementioned activities (O’Kelly and Niedzielski 2009; O’Kelly et al 2012) do cause the afternoon rush hours that makes people to use the public transport means. Researchers are spending more and more time studying and describing operation of public and private transport during the morning (Goliszek 2017) and afternoon rush hours. Such analyses allow to formulate recommendations to avoid wasting time when travelling at different times of the day (Niedzielski and Boschmann 2014; Shearmur 2006; Shirgaokar 2014; Wang and Chen 2015; Yongling and Guonan 2009)
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