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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.show moreshow less

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Metadaten
Document Type:Article
Author: Li Xin, Ihab Hamzi Hijazi, Dr. Reinhard KönigORCiDGND, Zhihan Lv, Chen Zhong, Gerhard SchmittGND
DOI (Cite-Link):https://doi.org/10.3390/ijgi5110218Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20170401-30995Cite-Link
Parent Title (English):ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Language:English
Date of Publication (online):2017/04/01
Year of first Publication:2016
Release Date:2017/04/01
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Architektur und Urbanistik [bis 2014 Fakultät Architektur] / Juniorprofessur Computational Architecture
Tag:urban form; Geographical Information System;walking experience; isovists; logistic regression
GND Keyword:Stadt; Gefühl; Geoinformationssystem
Dewey Decimal Classification:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
BKL-Classification:74 Geographie, Raumordnung, Städtebau / 74.12 Stadtgeographie, Siedlungsgeographie
74 Geographie, Raumordnung, Städtebau / 74.72 Stadtplanung, kommunale Planung
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)