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Peiheng Yu, Esther H. K. Yung, Edwin H. W. Chan, Shujin Zhang, Siqiang Wang and Yiyun Chen
Understanding how public service accessibility is related to housing prices is crucial to housing equity, yet the heterogeneous capitalisation effect remains unknown. This study aims to investigate the spatial effect of public service accessibility on ho...
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Mateusz Tomal
The proportion of tenants will undoubtedly rise in Poland, where at present, the ownership housing model is very dominant. As a result, the rental housing market in Poland is currently under-researched in comparison with owner-occupancy. In order to narr...
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Paolo Rosato, Margaretha Breil, Carlo Giupponi and Raul Berto
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Denisard Cneio de Oliveira Alves,Joe Akira Yoshino,Paula Carvalho Pereda,Carla Jucá Amrein
Pág. 167 - 187
Hedonic modeling has become a benchmark for pricing real assets with several intrinsic characteristics. This work tests also others dimensions for asset pricing: the quality of life in the housing neighborhood and macroeconomic variables. The data is abo...
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Evert Guliker, Erwin Folmer and Marten van Sinderen
With the rapidly increasing house prices in the Netherlands, there is a growing need for more localised value predictions for mortgage collaterals within the financial sector. Many existing studies focus on modelling house prices for an individual city; ...
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Wen-Ching Wang, Yu-Ju Chang and Hsueh-Ching Wang
The main purpose of this paper is to use regression models to explore the factors affecting housing prices as well as apply spatial aggregation to explore the changes of urban space prices. This study collected data in Taitung City from the year 2013 to ...
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This study examines the relationship between residential property values and accessibility indicators derived from transit smart card data. The use of smart card data to estimate accessibility indicators for explaining the housing market has not yet been...
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Sandra Palagi, Marco Stumpf, Andrea Kerm
Pág. Page 87 - 97
The market value of a property is an important parameter for decision making in various sectors of society. The selection and identification of the aspects that most influence the variation of the property value are fundamental, because it is from these ...
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Yadi Wang, David Levinson
Pág. 469 - 496
The traditional mobility-oriented travel-time saving benefit assessment method has been repeatedly questioned for numerous intrinsic flaws, motivating the search for alternative benefit assessment approaches. Although a wealth of literature confirms the ...
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Changro Lee
Pág. 30 - 40
Although clustering analysis is a popular tool in unsupervised learning, it is inefficient for the datasets dominated by categorical variables, e.g., real estate datasets. To apply clustering analysis to real estate datasets, this study proposes an entit...
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Bo Zhang, Weidong Li, Nicholas Lownes and Chuanrong Zhang
Public transit infrastructure may increase residential property values by improving accessibility and reducing commute expenses in urban areas. Prior studies have investigated the impacts of the proximity to public transportation on property values and o...
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Mahmoud Sharaan, Chatuphorn Somphong and Keiko Udo
Coastal erosion and inundation represent the main impacts of climate change and the consequential sea level rise (SLR) on beaches. The resultant deterioration of coastal habitats and decline in beach tourism revenue has been a primary concern for coastal...
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