<abstract xmlns="http://www.w3.org/1999/xhtml">

Renewal, revitalisation, or reconstruction of public spaces is an inevitable part of the urban dynamics process. However, before any decision of future development is made, it is necessary to be acquainted with the given place. Mapping urban spaces is essential for recognizing the specifics of a certain area, while a relevant analysis should be performed on the basis of multiple data sources. Nonetheless, identification of relevant data sources as well as their limits, which need to be considered, represent challenges in the process. The study aims to highlight the importance of socio-spatial analyses as tools which help to familiarize place makers with public space as well as with the small nuances of its everyday functioning. Relevant online data sources for urban space analysis (Instasights, Strava) and their limits were explored, described, and applied to the area of interest - two banks of the Danube riverfront in Bratislava, Slovakia. The method was supplemented by mapping of human movement and behaviour. The combination of the methods is a relatively fast and simple way to get to know the spatial, social, environmental, aesthetic, and other dimensions of the given space. The interpretation of data illustrates possible outcomes that can be gained through mapping of public spaces before changes or development plans are proposed. Hence, the paper contributes to the repertory of the possible sources of online data that can be used for recognizing the specific characteristics of individual public spaces. This contributes to responsible decision-making about the future of the urban environment, built on data-based arguments.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> Online data represents a valuable source of city-related information as well as a relevant addition to other mapping methods.</list-item>
<list-item><label>•</label> Mapping an area of interest is a necessary step of the data-based planning process and should always precede any development of urban spaces.</list-item>
<list-item><label>•</label> A combination of data from various data sources which reflect life in public space can support user-oriented planning and contribute to responsible decision making.</list-item>
</list>

</abstract>

Renewal, revitalisation, or reconstruction of public spaces is an inevitable part of the urban dynamics process. However, before any decision of future development is made, it is necessary to be acquainted with the given place. Mapping urban spaces is essential for recognizing the specifics of a certain area, while a relevant analysis should be performed on the basis of multiple data sources. Nonetheless, identification of relevant data sources as well as their limits, which need to be considered, represent challenges in the process. The study aims to highlight the importance of socio-spatial analyses as tools which help to familiarize place makers with public space as well as with the small nuances of its everyday functioning. Relevant online data sources for urban space analysis (Instasights, Strava) and their limits were explored, described, and applied to the area of interest - two banks of the Danube riverfront in Bratislava, Slovakia. The method was supplemented by mapping of human movement and behaviour. The combination of the methods is a relatively fast and simple way to get to know the spatial, social, environmental, aesthetic, and other dimensions of the given space. The interpretation of data illustrates possible outcomes that can be gained through mapping of public spaces before changes or development plans are proposed. Hence, the paper contributes to the repertory of the possible sources of online data that can be used for recognizing the specific characteristics of individual public spaces. This contributes to responsible decision-making about the future of the urban environment, built on data-based arguments.
Highlights for public administration, management and planning:

• Online data represents a valuable source of city-related information as well as a relevant addition to other mapping methods.
• Mapping an area of interest is a necessary step of the data-based planning process and should always precede any development of urban spaces.
• A combination of data from various data sources which reflect life in public space can support user-oriented planning and contribute to responsible decision making.

Behavioural mapping and online data as tools for socio-spatial analysis of public spaces – Bratislava, Slovakia waterfront case study

Slovak University of Technology in Bratislava

GeoScape

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Renewal, revitalisation, or reconstruction of public spaces is an inevitable part of the urban dynamics process. However, before any decision of future...

Behavioural mapping and online data as tools for socio-spatial analysis of public spaces – Bratislava, Slovakia waterfront case study

Online veröffentlicht: 09. Juli 2022

Seitenbereich: 39 - 54

Eingereicht: 30. Sept. 2021

Akzeptiert: 25. März 2022

DOI: https://doi.org/10.2478/geosc-2022-0004

Schlüsselwörter
Mapping, Waterfront, Public space, Online data, Behavioural mapping

© 2022 Rebeka Petrtýlová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Behavioural mapping and online data as tools for socio-spatial analysis of public spaces – Bratislava, Slovakia waterfront case study

Online veröffentlicht: 09. Juli 2022

Seitenbereich: 39 - 54

Eingereicht: 30. Sept. 2021

Akzeptiert: 25. März 2022

DOI: https://doi.org/10.2478/geosc-2022-0004

SchlüsselwörterMapping, Waterfront, Public space, Online data, Behavioural mapping

© 2022 Rebeka Petrtýlová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Mapping, Waterfront, Public space, Online data, Behavioural mapping