[HTML][HTML] Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …
[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond
Recent progress in Artificial Intelligence (AI) techniques, the large-scale availability of high-
quality data, as well as advances in both hardware and software to efficiently process these …
quality data, as well as advances in both hardware and software to efficiently process these …
A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …
datasets. These models are typically evaluated using automated measures. However, recent …
Uncovering inconspicuous places using social media check-ins and street view images
Highlights•A framework to characterize places regarding type, human activity, group and
locale using multi-source big geo-data.•Deriving place group information from individual …
locale using multi-source big geo-data.•Deriving place group information from individual …
Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling
A better formalization of place-where people live, perceive, and interact with others-is crucial
for understanding socioeconomic environment and human settlement. The widely used …
for understanding socioeconomic environment and human settlement. The widely used …
[PDF][PDF] Natural language processing for urban research: A systematic review
M Cai - Heliyon, 2021 - cell.com
Natural language processing (NLP) has shown potential as a promising tool to exploit under-
utilized urban data sources. This paper presents a systematic review of urban studies …
utilized urban data sources. This paper presents a systematic review of urban studies …
Do landscape amenities impact private housing rental prices? A hierarchical hedonic modeling approach based on semantic and sentimental analysis of online …
Real estate premium associated with landscape amenities is a well-studied topic with a
primary focus on housing prices. Presumably, the willingness-to-pay for landscape …
primary focus on housing prices. Presumably, the willingness-to-pay for landscape …
The coordination relationship between urban development and urban life satisfaction in Chinese cities-An empirical analysis based on multi-source data
X He, Y Zhou, X Yuan, M Zhu - Cities, 2024 - Elsevier
Achieving balanced development in both urban development level and urban life
satisfaction is a key focus in the people-oriented guideline of the national New Type …
satisfaction is a key focus in the people-oriented guideline of the national New Type …
[HTML][HTML] Quantifying the relationship between public sentiment and urban environment in Barcelona
Public sentiment provides an important social reference for urban management and
planning. The relationship between public sentiment and a single type of land use has …
planning. The relationship between public sentiment and a single type of land use has …