Mapping the Transformation Potential of Streets Using Urban Planning Parameters and Open Spatial Datasets

Kaja Pogačar, Andrej Žižek and Peter Šenk
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Kaja Pogačar: Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia
Andrej Žižek: DOBA Faculty of Applied Business and Social Studies, 2000 Maribor, Slovenia
Peter Šenk: Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia

Sustainability, 2022, vol. 14, issue 14, 1-21

Abstract: Streets with an increasingly important place function play a significant role in the contemporary discourse on sustainable cities. The paper addresses urban streets that, observed from the urban planning perspective, have the potential to be transformed into either commercial or residential shared streets. After defining urban planning parameters identified as characteristic of shared streets, streets were quantified based on an analysis of the existing shared streets in Central Europe. By setting up distinctive scenarios that could help to detect specific types of streets, open spatial datasets were used for the mapping and identification of streets that could be transformed into shared streets. The methodology was tested on the example of the city of Maribor in Slovenia. The results of the research show that the selected urban planning parameters can help to identify streets with transformation potential, whereas the basic parameters, such as the building use and the length and width of the street, help us to better understand the urban fabric in which street spaces acquire new functions. The presented mapping method could serve as a testing tool for experts, planners, decision-makers, and the interested public to identify potential street transformations.

Keywords: street transformation potential; urban planning parameters; mapping; shared streets; shared space; open spatial datasets; GIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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