• Treffer 1 von 3
Zurück zur Trefferliste

Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique

  • Finding a method to evaluate people’s emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introducesFinding a method to evaluate people’s emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people’s emotional responses and urban space. This method can evaluate the degree to which people’s emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people’s emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people’s emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization.zeige mehrzeige weniger

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar
Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben: Li Xin, Ihab Hamzi Hijazi, Dr. Reinhard KönigORCiDGND, Zhihan Lv, Chen Zhong, Gerhard SchmittGND
DOI (Zitierlink):https://doi.org/10.3390/ijgi5110218Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20170401-30995Zitierlink
Titel des übergeordneten Werkes (Englisch):ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Sprache:Englisch
Datum der Veröffentlichung (online):01.04.2017
Jahr der Erstveröffentlichung:2016
Datum der Freischaltung:01.04.2017
Veröffentlichende Institution:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Fakultät Architektur und Urbanistik / Junior-Professur Computational Architecture
Freies Schlagwort / Tag:urban form; Geographical Information System;walking experience; isovists; logistic regression
GND-Schlagwort:Stadt; Gefühl; Geoinformationssystem
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
BKL-Klassifikation:74 Geographie, Raumordnung, Städtebau / 74.12 Stadtgeographie, Siedlungsgeographie
74 Geographie, Raumordnung, Städtebau / 74.72 Stadtplanung, kommunale Planung
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)