Urban transport system changes during and after COVID-19: Łódź and Bratislava (dataset)
Date
2025-12Author
Wiśniewski, Szymon
Masierek, Edyta
Kowalski, Michał
Borowska-Stefańska, Marta
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The repository deposits processed and harmonized datasets underpinning the article “Are the changes in the functioning of urban transport systems arising from the COVID-19 pandemic just temporary change or a permanent transformation? Examples of Lodz and Bratislava” published in Moravian Geographical Reports. The package is designed to support reproducibility of the paper’s empirical steps, while avoiding disclosure of raw operational records.
The deposited files provide analysis-ready tables derived primarily from urban public transport operations in Łódź, prepared consistently for the study timeframe and analytical phases considered in the paper. A core spreadsheet dataset (XLSX) contains day-level service-supply indicators, with observations indexed by date and day-type (weekday/Saturday/Sunday). Key variables describe the structure and intensity of service provision, including the number of bus and tram lines, the daily number of public-transport vehicle journeys, and comparable counts for selected time windows reflecting peak and inter-peak periods (e.g., morning peak, midday, afternoon peak). Complementary outputs are included as a ZIP archive of Excel tables (XLS) summarising ticket validations (“skasowania”) in an aggregated form, provided in three analytical breakdowns: by hour band, by line, and by stop, with counts reported as “paper validations” and “total” to enable reconstruction of temporal profiles and structural shifts without access to individual transactions.
In addition, a macro-enabled workbook (XLSM) organises hourly aggregations and calendar annotations (e.g., date, hour, day-of-week labels and trading/non-trading indicators) and provides descriptive statistics supporting the computation of change indicators and comparative metrics used in the study. Due to third-party data-sharing conditions, only aggregated, non-identifying, replication-focused outputs are released; the raw monitoring and transactional records remain with the source institutions.
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