The City Real-Estate Administration Law of the People’s Republic of China (hereinafter referred to as Real-Estate Administration Law) was adopted at the Eighth Session of the Standing Committee of the Eighth National...The City Real-Estate Administration Law of the People’s Republic of China (hereinafter referred to as Real-Estate Administration Law) was adopted at the Eighth Session of the Standing Committee of the Eighth National People’s Congress, and will come into force on January 1, 1995. For the public, especially overseas investors, to understand the law, the reporter had an interview with Mr. Hou Jie, Minister of Construction. Q: Real estate has been an展开更多
Searching for a property is inherently a multicriteria spatial decision.The decision is primarily based on three high-level criteria composed of household needs,building facilities,and location characteristics.Locatio...Searching for a property is inherently a multicriteria spatial decision.The decision is primarily based on three high-level criteria composed of household needs,building facilities,and location characteristics.Location choice is driven by diverse characteristics;including but not limited to environmental factors,access,services,and the socioeconomic status of a neighbourhood.This article aims to identify the gap between theory and practice in presenting information on location choice by using a gap analysis methodology through the development of a sevenfactor classification tool and an assessment of international property websites.Despite the availability of digital earth data,the results suggest that real-estate websites are poor at providing sufficient location information to support efficient spatial decision making.Based on a case study in Dublin,Ireland,we find that although neighbourhood digital earth data may be readily available to support decision making,the gap persists.We hypothesise that the reason is two-fold.Firstly,there is a technical challenge to transform location data into usable information.Secondly,the market may not wish to provide location information which can be perceived as negative.We conclude this article with a discussion of critical issues necessary for designing a spatial decision support system for real-estate decision making.展开更多
文摘The City Real-Estate Administration Law of the People’s Republic of China (hereinafter referred to as Real-Estate Administration Law) was adopted at the Eighth Session of the Standing Committee of the Eighth National People’s Congress, and will come into force on January 1, 1995. For the public, especially overseas investors, to understand the law, the reporter had an interview with Mr. Hou Jie, Minister of Construction. Q: Real estate has been an
基金Hamidreza Rabiei-Dastjerdi is a Marie Skłodowska-Curie Career-FIT Fellow at the UCD School of Computer Science and CeADAR(Ireland’s National Centre for Applied Data Analytics&AI)Career-FIT has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.713654.
文摘Searching for a property is inherently a multicriteria spatial decision.The decision is primarily based on three high-level criteria composed of household needs,building facilities,and location characteristics.Location choice is driven by diverse characteristics;including but not limited to environmental factors,access,services,and the socioeconomic status of a neighbourhood.This article aims to identify the gap between theory and practice in presenting information on location choice by using a gap analysis methodology through the development of a sevenfactor classification tool and an assessment of international property websites.Despite the availability of digital earth data,the results suggest that real-estate websites are poor at providing sufficient location information to support efficient spatial decision making.Based on a case study in Dublin,Ireland,we find that although neighbourhood digital earth data may be readily available to support decision making,the gap persists.We hypothesise that the reason is two-fold.Firstly,there is a technical challenge to transform location data into usable information.Secondly,the market may not wish to provide location information which can be perceived as negative.We conclude this article with a discussion of critical issues necessary for designing a spatial decision support system for real-estate decision making.
