Understanding house price appreciation using multi-source big geo-data and machine learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Understanding house price appreciation using multi-source big geo-data and machine learning
Authors
Keywords
House price appreciation rate, Street view images, House photos, Human mobility patterns, Geographically weighted regression
Journal
LAND USE POLICY
Volume 111, Issue -, Pages 104919
Publisher
Elsevier BV
Online
2020-07-21
DOI
10.1016/j.landusepol.2020.104919
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatial-Temporal Variation in the Impacts of Urban Infrastructure on Housing Prices in Wuhan, China
- (2020) Fan Liu et al. Sustainability
- Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
- (2020) Liujia Chen et al. ISPRS International Journal of Geo-Information
- Inside 50,000 living rooms: an assessment of global residential ornamentation using transfer learning
- (2019) Xi Liu et al. EPJ Data Science
- Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns
- (2019) Fan Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning
- (2019) Xiao Fu et al. PLoS One
- Towards feasibility of photovoltaic road for urban traffic-solar energy estimation using street view image
- (2019) Ziyu Liu et al. JOURNAL OF CLEANER PRODUCTION
- Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing
- (2018) Yonglin Zhang et al. ISPRS International Journal of Geo-Information
- Measuring human perceptions of a large-scale urban region using machine learning
- (2018) Fan Zhang et al. LANDSCAPE AND URBAN PLANNING
- Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices
- (2018) Chao Wu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Image-Based Appraisal of Real Estate Properties
- (2017) Quanzeng You et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
- (2017) Timnit Gebru et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy
- (2016) Yang Yue et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modeling of Geographic Dependencies for Real Estate Ranking
- (2016) Yanjie Fu et al. ACM Transactions on Knowledge Discovery from Data
- Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA
- (2015) Xiaojiang Li et al. URBAN FORESTRY & URBAN GREENING
- Gradient boosting machines, a tutorial
- (2013) Alexey Natekin et al. Frontiers in Neurorobotics
- Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai
- (2012) Yu Liu et al. LANDSCAPE AND URBAN PLANNING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search