Understanding house price appreciation using multi-source big geo-data and machine learning
Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …
estate market analyses. Although large amounts of interests have been paid in the house …
Exploring preferences and sustainable attitudes of Airbnb green users in the review comments and ratings: A text mining approach
The sharing economy platforms for accommodation have emerged as a disruptive model
that has revolutionized the tourist lodging sector and modified tourist consumption patterns …
that has revolutionized the tourist lodging sector and modified tourist consumption patterns …
Multi-level differentiation of short-term rental properties: A deep learning-based analysis of aesthetic design
This study aims to test the effects of differentiation on short-term rental performance along
the dimension of aesthetic design. Online platforms display listing cover photos as search …
the dimension of aesthetic design. Online platforms display listing cover photos as search …
Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
J Wang, YS Chow, F Biljecki - Cities, 2023 - Elsevier
There is a growing interest in deriving insights about cities from crowdsourced data. We
advance the discourse by employing homestay guest experience to sense urban …
advance the discourse by employing homestay guest experience to sense urban …
[HTML][HTML] Stochastic detection of interior design styles using a deep-learning model for reference images
This paper describes an approach for identifying and appending interior design style
information stochastically with reference images and a deep-learning model. In the field of …
information stochastically with reference images and a deep-learning model. In the field of …
Incorrect data in the widely used Inside Airbnb dataset
A Alsudais - Decision Support Systems, 2021 - Elsevier
Several recently published papers in Decision Support Systems discussed issues related to
data quality in Information Systems research. In this short research note, I build on the work …
data quality in Information Systems research. In this short research note, I build on the work …
[HTML][HTML] Mining real estate ads and property transactions for building and amenity data acquisition
X Chen, F Biljecki - Urban Informatics, 2022 - Springer
Acquiring spatial data of fine and dynamic urban features such as buildings remains
challenging. This paper brings attention to real estate advertisements and property sales …
challenging. This paper brings attention to real estate advertisements and property sales …
[HTML][HTML] Understanding the implementation of Airbnb in urban contexts: Towards a categorization of European cities
The sharing economy has experienced exponential growth in recent years, especially in the
short-term rentals (STRs) tourist accommodation sector. This growth has caused disruptive …
short-term rentals (STRs) tourist accommodation sector. This growth has caused disruptive …
DeepSSN: A deep convolutional neural network to assess spatial scene similarity
Spatial‐query‐by‐sketch is an intuitive tool to explore human spatial knowledge about
geographic environments and to support communication with scene database queries …
geographic environments and to support communication with scene database queries …
Creating spatial visualizations using fine-tuned interior design style models informed by user preferences
This study examines the automated creation of spatial visualizations for interior design,
emphasizing user preferences over precision. Recognizing design as a reflection of …
emphasizing user preferences over precision. Recognizing design as a reflection of …