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Urbani izziv Volume 17, No. 1–2, December 2006 : 200–204

(Thematic articles)
doi: 10.5379/urbani-izziv-en-2006-17-01-02-007

 

   Article in PDF format

 

Author

Matej NIKŠIČ

Urban Planning Institute of the Republic of Slovenia, Ljubljana, Slovenia
matej.niksic@uirs.si

 

Title

The dimensions of urban public space in user’s mental image

 

Abstract

The article presents a method for recognising qualitative and quantitative dimensions of open urban space in the user’s perceptual image. It stems from the hypothesis that the open urban space in mental perception isn’t a uniform continuum, which in general applies to its physical phenomenon. It discloses where and how users experience the limits of real open public space that they occupy and what they perceive as the neighbourhood of such a place. Therefore it researches rules applied by the user to mentally structure physically continuous space into smaller units and then reassemble these into a network. Knowledge of such rules enables expansion of open urban public spaces, which user’s experience as positive, into the wider area, thus revitalising those neighbouring spaces that are perceived as negative or are completely absent in the mental image and consequentially unused. The presence of people is in fact the essential component of quality public spaces.

 

Key Words

classification, experiencing space, mental perception of space, micro-space linkage, physical properties of space, programmatic properties of space, public open spaces

 

 

 

PUBLISHER

Urbanistični inštitut RS
Urbani izziv - Editorial Board
Trnovski pristan 2, 1000 Ljubljana, SLO

  + 386 (0)1 420 13 10
  urbani.izziv@uirs.si

ISSN

Print edition: 0353-6483
Web edition: 1855-8399
Professional edition: 2232-481X

INDEX

GOOGLE SCHOLAR
h5-index: 14
h5-median: 20
INDEX COPERNICUS
ICI Journals master list 2022: 121,34
CLARIVATE ANALYTICS
Indeksirano v ESCI

 

SCOPUS ELSEVIER

SCImago Journal & Country Rank

1.7
2021CiteScore
 
88th percentile
Powered by  Scopus

SNIP (2020): 0.79
CiteScoreTracker (2022): 1.8

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