Ondrej Kolodziej
Research Subjects
Ondrej Kolodziej has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Jiří Horák
VŚB-Technical University of Ostrava
2 shared publications - Lucie Orlíková
Department of Geoinformatics, Faculty of Mining and Geology, VŠB Technical University of Ostrava, 708 00 Ostrava, Czech Republic
2 shared publications - Pavel Kukuliac
Department of Geoinformatics, VSBTechnical University of Ostrava, Ostrava, Czech Republic
2 shared publications - Petra Maresova
University of Hradec Králové Hradec Králové Czech Republic
2 shared publications - David Fojtik
The Department of Control Systems and Instrumentation, VSB-Technical University of Ostrava, Ostrava, Czech Republic
1 shared publication - Igor Ivan
Faculty of Mining and Geology, VŠB - Technical University of Ostrava, Ostrava, Czech Republic
1 shared publication
Latest Publications
- Open Access
- 1 January 2023
- Published by Pavol Jozef Safarik University in Kosice in Geographia Cassoviensis
- Vol. 17 (1) , 73-92
Post COVID-19 public transport accessibility changes: Case study of Ostrava and Hradec Králové regions
Public transport faced various challenges during the COVID-19 period due to a large ebb in passengers during the pandemic waves, COVID-related restrictions, em-ployee sickness, and economic pressure to balance transport supply and demand. The study assesses the impact of the timetable changes on the accessibility between 2019 and 2021 in the hinterlands of two Czech cities – Hradec Králové and Ostrava. The research question is if there are considerable changes in public transport accessibility during this period which were influenced by the pandemic. Municipal accessibility is determined by the share of inaccessible municipalities, average travel time, population weighted average travel time, and average number of transfers under conditions suitable for seniors. Optimal trips to all municipalities are established with a local OpenTripPlanner server using all public urban and regional timetables including peak and off-peak hours, workdays, and non-working days. Unlike Ostrava, the pattern of accessibility of the Hradec Králové hinterland is influenced by the railway networks and bus transport corridors. Mean accessibility in 2021 slightly improved in the Hradec Králové region and slightly worsened in the Os-trava region. Some municipalities, however, showed grave decline. The most sensitive in-dicator is the share of inaccessible municipalities adapted for seniors' needs. The study confirms the importance of choosing a time of departure/arrival for the results of accessi-bility assessment. The most significant differences in the accessibility of municipalities are visible only for one of the selected departure times. Only a few municipalities show differences for both departure times, indicating variable effects on accessibility depending on the time of day-situation. The results did not confirm the anticipated general deterioration of public transport accessibility in the hinterlands of regional capitals during the pandemic period. URL: https://www.gcass.science.upjs.sk/
- 1 January 2023
- Published by Pavol Jozef Safarik University in Kosice in Geographia Cassoviensis
- Vol. 17 (1) , 73-92
Open AccessPost COVID-19 public transport accessibility changes: Case study of Ostrava and Hradec Králové regions
Public transport faced various challenges during the COVID-19 period due to a large ebb in passengers during the pandemic waves, COVID-related restrictions, em-ployee sickness, and economic pressure to balance transport supply and demand. The study assesses the impact of the timetable changes on the accessibility between 2019 and 2021 in the hinterlands of two Czech cities – Hradec Králové and Ostrava. The research question is if there are considerable changes in public transport accessibility during this period which were influenced by the pandemic. Municipal accessibility is determined by the share of inaccessible municipalities, average travel time, population weighted average travel time, and average number of transfers under conditions suitable for seniors. Optimal trips to all municipalities are established with a local OpenTripPlanner server using all public urban and regional timetables including peak and off-peak hours, workdays, and non-working days. Unlike Ostrava, the pattern of accessibility of the Hradec Králové hinterland is influenced by the railway networks and bus transport corridors. Mean accessibility in 2021 slightly improved in the Hradec Králové region and slightly worsened in the Os-trava region. Some municipalities, however, showed grave decline. The most sensitive in-dicator is the share of inaccessible municipalities adapted for seniors' needs. The study confirms the importance of choosing a time of departure/arrival for the results of accessi-bility assessment. The most significant differences in the accessibility of municipalities are visible only for one of the selected departure times. Only a few municipalities show differences for both departure times, indicating variable effects on accessibility depending on the time of day-situation. The results did not confirm the anticipated general deterioration of public transport accessibility in the hinterlands of regional capitals during the pandemic period. URL: https://www.gcass.science.upjs.sk/
- Open Access
- 27 April 2022
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 11 (5) , 279
Spatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly
Contemporary cities require excellent walking conditions to support human physical activity, increase humans’ well-being, reduce traffic, and create a healthy urban environment. Various indicators and metrics exist to evaluate walking conditions. To evaluate the spatial pattern of objective-based indicators, two popular indices were selected—the Walkability Index (WAI), representing environmental-based indicators, and Walk Score (WS), which applies an accessibility-based approach. Both indicators were evaluated using adequate spatial units (circle buffers with radii from 400 m to 2414 m) in two Czech cities. A new software tool was developed for the calculation of WS using OSM data and freely available network services. The new variant of WS was specifically designed for the elderly. Differing gait speeds, and variable settings of targets and their weights enabled the adaptation of WS to local conditions and personal needs. WAI and WS demonstrated different spatial pattern where WAI is better used for smaller radii (up to approx. 800 m) and WS for larger radii (starting from 800 m). The assessment of WS for both cities indicates that approx. 40% of inhabitants live in unsatisfactory walking conditions. A sensitivity analysis discovered the major influences of gait speed and the β coefficient on the walkability assessment.
- 27 April 2022
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 11 (5) , 279
Open AccessSpatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly
Contemporary cities require excellent walking conditions to support human physical activity, increase humans’ well-being, reduce traffic, and create a healthy urban environment. Various indicators and metrics exist to evaluate walking conditions. To evaluate the spatial pattern of objective-based indicators, two popular indices were selected—the Walkability Index (WAI), representing environmental-based indicators, and Walk Score (WS), which applies an accessibility-based approach. Both indicators were evaluated using adequate spatial units (circle buffers with radii from 400 m to 2414 m) in two Czech cities. A new software tool was developed for the calculation of WS using OSM data and freely available network services. The new variant of WS was specifically designed for the elderly. Differing gait speeds, and variable settings of targets and their weights enabled the adaptation of WS to local conditions and personal needs. WAI and WS demonstrated different spatial pattern where WAI is better used for smaller radii (up to approx. 800 m) and WS for larger radii (starting from 800 m). The assessment of WS for both cities indicates that approx. 40% of inhabitants live in unsatisfactory walking conditions. A sensitivity analysis discovered the major influences of gait speed and the β coefficient on the walkability assessment.