Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

[HTML][HTML] Impacts of perceived safety and beauty of park environments on time spent in parks: Examining the potential of street view imagery and phone-based GPS …

H Zhou, J Wang, K Wilson - … Journal of Applied Earth Observation and …, 2022 - Elsevier
Much research shows that urban parks can benefit human health. Research has shown that
perceptions of park environments are an important determinant of park usage. Most …

Measuring human perceptions of a large-scale urban region using machine learning

F Zhang, B Zhou, L Liu, Y Liu, HH Fung, H Lin… - Landscape and Urban …, 2018 - Elsevier
Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …

[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax

L Wang, X Han, J He, T Jung - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …

Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing

X Ma, C Ma, C Wu, Y Xi, R Yang, N Peng, C Zhang… - Cities, 2021 - Elsevier
Ubiquitous and up-to-date geotagged data are increasingly employed to uncover the visual
traits of the built environment. However, few prior studies currently link this theoretical …

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

T Gebru, J Krause, Y Wang, D Chen… - Proceedings of the …, 2017 - National Acad Sciences
The United States spends more than $250 million each year on the American Community
Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race …

Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China

C Wu, Y Ye, F Gao, X Ye - Sustainable Cities and Society, 2023 - Elsevier
There is a high correlation between the physical environment, human perception, and urban
vitality. However, fine-scale variations in urban vitality are complex, and human perceptions …

A human-machine adversarial scoring framework for urban perception assessment using street-view images

Y Yao, Z Liang, Z Yuan, P Liu, Y Bie… - International Journal …, 2019 - Taylor & Francis
Though global-coverage urban perception datasets have been recently created using
machine learning, their efficacy in accurately assessing local urban perceptions for other …

Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment

AS Miranda, Z Fan, F Duarte, C Ratti - Computers, Environment and Urban …, 2021 - Elsevier
The experience of walking through a city is influenced by amenities and the visual qualities
of its built environment. This paper uses thousands of pedestrian trajectories obtained from …

Computer vision uncovers predictors of physical urban change

N Naik, SD Kominers, R Raskar… - Proceedings of the …, 2017 - National Acad Sciences
Which neighborhoods experience physical improvements? In this paper, we introduce a
computer vision method to measure changes in the physical appearances of neighborhoods …