Geographically Weighted Regression for the Post Carbon City and Real Estate Market Analysis: A Case Study

2018 ◽  
pp. 142-149 ◽  
Author(s):  
Domenico Enrico Massimo ◽  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Fabiana Forte ◽  
Mariangela Musolino ◽  
...  
Keyword(s):  
Real Estate ◽  
Geographically Weighted Regression ◽  
Real Estate Market ◽  
Market Analysis ◽  
Weighted Regression

scholarly journals Exploring Housing Rent by Mixed Geographically Weighted Regression: A Case Study in Nanjing

2019 ◽  
Vol 8 (10) ◽  
pp. 431 ◽  
Author(s):  
Shiwei Zhang ◽  
Lin Wang ◽  
Feng Lu
Keyword(s):  
Real Estate ◽  
Spatial Variability ◽  
Geographically Weighted Regression ◽  
Spatial Differentiation ◽  
Scientific Basis ◽  
Weighted Regression ◽  
Utility Value ◽  
Real Estate Management ◽  
Group Pattern

In China, the housing rent can clearly reveal the actual utility value of a house due to its low capital premium. However, few studies have examined the spatial variability of housing rent. Accordingly, this study attempted to determine the utility value of houses based on housing rent data. In this study, we applied mixed geographically weighted regression (MGWR) to explore the residential rent in Nanjing, the largest city in Jiangsu Province. The results show that the distribution of residential rent has a multi-center group pattern. Commercial centers, primary and middle schools, campuses, subways, expressways, and railways are the most significant influencing factors of residential rent in Nanjing, and each factor has its own unique characteristics of spatial differentiation. In addition, the MGWR has a better fit with housing rent than geographically weighted regression (GWR). These research results provide a scientific basis for local real estate management and urban planning departments.

scholarly journals The Use of the Geographically Weighted Regression for the Real Estate Market Analysis

2012 ◽  
Vol 11 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Radosław Cellmer
Keyword(s):  
Real Estate ◽  
Geographically Weighted Regression ◽  
Real Estate Market ◽  
Weighted Regression ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Market Transaction ◽  
Grading Scale

Abstract The article presents a method for developing geographically weighted regression models for analyzing real estate market transaction prices and evaluating the effect of selected property attributes on the prices and value of real estate. The property attributes were evaluated on a grading scale to determine the relative (percentage) indicators characterizing the relationships on the real estate market. The market data were analyzed to evaluate the influence of infrastructure availability on the prices of land in Olsztyn. The results were used to assess the effect of every utility service on the property transaction prices.

Second-hand housing batch evaluation model of zhengzhou city based on big data and MGWR model

2021 ◽  
pp. 1-20
Author(s):  
Chaojie Liu ◽  
Jie Lu ◽  
Wenjing Fu ◽  
Zhuoyi Zhou
Keyword(s):  
Real Estate ◽  
Geographically Weighted Regression ◽  
Euclidean Distance ◽  
Evaluation Model ◽  
Housing Prices ◽  
Information Criterion ◽  
Access Point ◽  
Least Square ◽  
Weighted Regression ◽  
Spatial Error

How to better evaluate the value of urban real estate is a major issue in the reform of real estate tax system. So the establishment of an accurate and efficient housing batch evaluation model is crucial in evaluating the value of housing. In this paper the second-hand housing transaction data of Zhengzhou City from 2010 to 2019 was used to model housing prices and explanatory variables by using models of Ordinary Least Square (OLS), Spatial Error Model (SEM), Geographically Weighted Regression (GWR), Geographically and Temporally Weighted Regression (GTWR), and Multiscale Geographically Weighted Regression (MGWR). And a correction method of Barrier Line and Access Point (BLAAP) was constructed, and compared with three correction methods previously studied: Buffer Area (BA), Euclidean Distance (ED), and Non-Euclidean Distance, Travel Distance (ND, TT). The results showed: The fitting degree of GWR, MGWR and GTWR by BLAAP was 0.03–0.07 higher than by ND. The fitting degree of MGWR was the highest (0.883) by BLAAP but the smallest by Akaike Information Criterion (AIC), and 88.3% of second-hand housing data could be well interpreted by the model.

scholarly journals Chosen statistical methods for the detection of outliers in real estate market analysis

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Beata Śpiewak ◽  
Anna Barańska
Keyword(s):  
Real Estate ◽  
Statistical Methods ◽  
Residue Analysis ◽  
Functional Model ◽  
Real Estate Market ◽  
Market Analysis ◽  
Parameters Estimation ◽  
Estimation Of Parameters ◽  
Before And After ◽  
Detection Of Outliers

The paper contains the comparison of mechanism of two separately constructed statistical methods for the detection of outliers in real estate market analysis. For this purpose, databases with various types of real estate from local markets were created. Then the estimation of parameters of functional models describing dependencies prevailing on the examined markets was carried out. Subsequently, statistical tools called Baarda method and model residue analysis were used to detect outliers in the collected datasets. The last stage was a comparison of the obtained results of the parameters' estimation of the analyzed models and the measures of their quality, before and after the removal of outliers. The obtained results indicate that algorithms of chosen statistical methods, detecting outliers, allow to eliminate a smaller number of them, at the same time obtaining an improvement of the parameters of the functional model and its adjustment to the analyzed dataset. This gives the premise for the development of criteria for the selection of statistical methods that look for gross errors in the analyzed databases, among others, depending on functional model used, type of property and number of properties.

scholarly journals Analysis of the real estate market for business activities

2021 ◽  
pp. 60-68
Author(s):  
O. A. Zemlyanskiy
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Market Analysis ◽  
Entrepreneurial Activity ◽  
Market Segments ◽  
The Real ◽  
The Real Estate ◽  
Doing Business ◽  
The Real Estate Market ◽  
The Subject

Effective business activities conducting in the real estate market is impossible without an objective analysis of the real estate market, its individual segments, comparing the possibilities and efficiency of doing business in different market segments. Based on the generalization of various methods, the author proposes an analysis of the real estate market to determine the possibility of effective business activity, including setting goals for the analysis of the real estate market and its individual segments, determining the subject, conditions and opportunities for entrepreneurial activity in the real estate market, analysing the market in accordance with the factors of market analysis, its characteristics and identification of the most attractive market segments and areas of activity in order to achieve these goals. The analysis of the real estate market determines the opportunities, conditions and prospects of presence on the market for various companies and types of business related to the creation and sale of real estate objects, as well as credit and financial, legal, insurance, valuation, commercial and other types of business.

Local Investments Site Selection and the Behavior of the Real Estate Market – Case Study in Poland

2017 ◽  
Author(s):  
Monika Siejka
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Negative Impact ◽  
Real Estate Market ◽  
The European Union ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Real Estate Management

One of the main tasks of real estate management in the area of the municipality is making decisions concerning the location of investments on a local scale. These decisions should be taken with the principle of sustainable development. For such an action obliges Poland's membership in the European Union. Poland as a member of the EU is obliged to implement the rules in force in the Member States. Bearing in mind that any investment impact directly or indirectly on the economic development of the municipality, is therefore a significant impact on the local real estate market. Investments that have a negative impact on the environment can contribute to a reduction in the activity of the local real estate market. While performing tasks related to the economic development of the region and the increase in quality of life, increases the activity of the local real estate market. The work was carried out research on the dynamics of changes in the local real estate market in the area of the municipality Skrzyszow in the Malopolska province in Poland, in connection with the construction of the reservoir.

Defining a corporate real estate management's (CREM) brand

2014 ◽  
Vol 16 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Abdul Jalil Omar ◽  
Christopher A. Heywood
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Relationship Building ◽  
Content Type ◽  
Study Approach ◽  
Brand Development ◽  
Corporate Real Estate ◽  
Multiple Case ◽  
Business Functions

Purpose – This paper aims to explore how branding theory can be used to understand corporate real estate management's (CREM's) relationships with its customers. Specifically, the perspectives of CREM executives and customers are used to develop a statement of a CREM brand. Design/methodology/approach – A multiple case study approach from four industry sections that consist of telecommunications, logistic, retail, and education from an emerging real estate market (Malaysia) and a mature real estate market (Australia). CREM executives and CREM customers from each case were interviewed to obtain information on CREM within organisations. Findings – The findings indicate that CREM supports the business by managing organisations' strategic real estate resources as its brand. CREM executives focus more on the technicality of real estate functions, while CREM customers expect corporate real estate (CRE) to support their business functions. Research limitations/implications – A CREM brand is important to CREM relationship building with the targeted customers. Successful brand development is able to increase CREM visibility to customers and at the same time gain appreciation of its contributions to the organisations. Originality/value – This is the first study that investigates CREM from a branding perspective. The mechanism for communicating CREM contributions using branding helps to increase acceptance from the customers.

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