| id |
caadria2024_81 |
| authors |
Cheng, Sifan and van Ameijde, Jeroen |
| year |
2024 |
| title |
Sensing Streets: Exploring the Association Between Cityscape Qualities and Street Perceptions Using Street View Imagery and Natural Language Processing |
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 139–148 |
| doi |
https://doi.org/10.52842/conf.caadria.2024.2.139
|
| summary |
Assessing the perception of street environments and understanding the relationships between their aesthetic qualities and pedestrian experiences are critical to promoting walking behaviour and enhancing urban residents’ long-term well-being. While Machine Learning-based analysis of Street View Imagery (SVI) has enabled a range of streetscape studies, the relationship between the visual qualities of cityscapes and people’s emotional responses is still under studied. This study used recently developed computational methods to quantify urban street qualities and related sentiments. It collected online reviews and employed Natural Language Processing (NLP) methods to understand how people perceive streets and which environmental features contribute to positive and negative street perceptions. The analytical framework developed in this study can support other high-resolution studies into the spatial-temporal perception of cityscapes in high-density cities across the world. |
| keywords |
Cityscape Quality, Street Perception, Social Media Data, Sentiment Analysis, Natural Language Processing |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (950,820 bytes) |
| references |
Content-type: text/plain
|
Chang, H., Huang, J., Yao, W., Zhao, W., & Li, L. (2022)
 How do new transit stations affect peoples sentiment and activity? A case study based on social media data in Hong Kong
, Transport Policy, 120, 139-155. https://doi.org/10.1016/j.tranpol.2022.03.011
|
|
|
|
|
Ewing, R., & Handy, S. (2009)
Measuring the Unmeasurable: Urban Design Qualities Related to Walkability
, Journal of Urban Design, 14(1), 65-84. https://doi.org/10.1080/13574800802451155
|
|
|
|
|
Han, Y., Qin, C., Xiao, L., & Ye, Y. (2023)
The nonlinear relationships between built environment features and urban street vitality: A data-driven exploration
, Environment and Planning B: Urban Analytics and City Science, 23998083231172984. https://doi.org/10.1177/23998083231172985
|
|
|
|
|
Hutto, C., & Gilbert, E. (2014)
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
, Proceedings of the International AAAI Conference on Web and Social Media, 8(1), 216-225. https://doi.org/10.1609/icwsm.v8i1.14550
|
|
|
|
|
Kaplan, R., Kaplan, S., & Brown, T. (1989)
Environmental Preference: A Comparison of Four Domains of Predictors
, Environment and Behavior, 21(5), 509-530. https://doi.org/10.1177/0013916589215001
|
|
|
|
|
Lin, Y., Wood, S., & Lawler, J. (2022)
The relationship between natural environments and subjective well-being as measured by sentiment expressed on Twitter
, Landscape and Urban Planning, 227. https://doi.org/10.1016/j.landurbplan.2022.104539
|
|
|
|
|
Roth, M.B. (2005)
RoBERTa: A Robustly Optimized BERT Pretraining Approach
, Trends in online landscape architecture: Proceedings at Anhalt University of Applied Sciences (pp.121)
|
|
|
|
|
Tabatabaie, S., Litt, J. S., & Muller, B. H. F. (2023)
Sidewalks, trees and shade matter: A visual landscape assessment approach to understanding peoples preferences for walking
, Urban Forestry & Urban Greening, 84, 127931. https://doi.org/10.1016/j.ufug.2023.127931
|
|
|
|
|
van Ameijde, J., & Cheng, S. (2022)
Regenerating Hong Kongs New Towns: Resilience and Collaboration in the Context of Polycentric Urban Development
, Urbanie and Urbanus, Issue 6, P.48 - P.67
|
|
|
|
|
Wang, R., Browning, M. H. E. M., Qin, X., He, J., Wu, W., Yao, Y., & Liu, Y. (2022)
Visible green space predicts emotion: Evidence from social media and street view data
, Applied Geography, 148, 102803. https://doi.org/10.1016/j.apgeog.2022.102803
|
|
|
|
|
Yang, L., Marmolejo Duarte, C., & Martí Ciriquian, P. (2022)
Quantifying the relationship between public sentiment and urban environment in Barcelona
, Cities, 130, 103977
|
|
|
|
| last changed |
2024/11/17 22:05 |
|
