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Studies in Housing and Urban Analysis in Japan
- Available as
- Online
Details
- Creator
- Yasushi Asami [and three others], editors
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- First edition
- Singapore : Springer, [2024]
- ©2024
- Physical Details
-
- 1 online resource (295 pages)
- ISBNs
- 9789819980277, 9819980275, 9819980267
- Includes bibliographical references.
- Intro -- Preface -- References -- Contents -- Part I Housing Analysis -- 1 Demand -Supply Relationship in the Resale Housing Market in the Suburbs of Tokyo -- 1.1 Introduction -- 1.2 Target Area and Data -- 1.3 Empirical Methods -- 1.4 Empirical Results -- 1.4.1 Overall Trends -- 1.4.2 Suburbs Close to Central Tokyo -- 1.4.3 Outskirts Farther Away from Central Tokyo -- 1.5 Conclusion -- References -- 2 Old Condominiums and Their Tendency to Be Rebuilt: A Case Study of the Tokyo Metropolitan Area -- 2.1 Introduction -- 2.1.1 Background and Research Aim -- 2.1.2 Current Situation of Rebuilding Condominiums -- 2.2 Data and Method -- 2.2.1 Data -- 2.2.2 Method -- 2.3 Results -- 2.3.1 Geographic Distribution of Floor Area Available for Expansion -- 2.3.2 Difference in Averaged Characteristics Values of Condominiums with Old Earthquake Resistance Standards and Rebuilt Ones -- 2.3.3 Statistical Difference Between Condominiums with Old Earthquake Resistance Standards and the Rebuilt Ones -- 2.3.4 Geographical Distribution of the Predictive Probability of Rebuilding -- 2.4 Conclusion -- References -- 3 Significance of "Living Environment Score" in Quantifying Attractiveness of Regions During Residence Selection -- 3.1 Era of Declining Population and Compact Cities -- 3.2 Concept and Features of Living Environment Score -- 3.2.1 Conceptualization and Calculation of Living Environment Score -- 3.2.2 Living Environment Indices Used for Calculating Living Environment Score -- 3.3 Setting of Target Regions and Definition of Population Increase in This Study -- 3.3.1 Setting of Target Regions -- 3.3.2 Definition of Population Increase and Method of Proportional Division by Population -- 3.4 Calculation of Living Environment Score -- 3.4.1 Cross-Tabulation of Population Growth Tendencies and Living Environment Levels
- 3.5 Relationship Between Living Environment Score and Actual Population Increase -- 3.6 Relationship Between Residential Promotion by Living Environment Score and Disaster Risk -- 3.7 Conclusion -- References -- 4 Relationship Between Participation of Older Adults in Hobby Clubs and Sports Groups and Density of Neighborhood Facilities: A Case of Nagoya City Using JAGES Panel Data -- 4.1 Introduction -- 4.2 Materials and Methods -- 4.2.1 Dataset -- 4.2.2 Neighborhood Environment -- 4.2.3 Frequency and Changes in Activity Participation -- 4.3 Analytic Method -- 4.4 Results and Discussion -- 4.4.1 Change in the Frequency of Activity Participation Between 2010 and 2016 -- 4.4.2 Relationships Between Participation and Facility Density -- 4.5 Conclusion -- References -- 5 Environmental Factors Causing Inconvenience of Store Accessibility for Older Adults in Tokyo: Objective Indicators of Road Environments for Estimating People's Inconvenience -- 5.1 Introduction -- 5.1.1 Background and Purpose of Study -- 5.1.2 Literature Review -- 5.2 Materials and Methods -- 5.2.1 The Survey Area and Overview -- 5.2.2 Analysis Flow -- 5.3 Analysis 1: Dissatisfaction of Elderly People with Various Road Elements -- 5.3.1 Dissatisfaction Ratio for Each Road Elements -- 5.3.2 Influence of "Tolerance Level" and the "Amount" of the Road Elements on the Respondent's Dissatisfaction -- 5.4 Analysis 2: What Kind of Elements' Dissatisfaction Constitutes the Inconvenience of Accessibility? Objective Conditions that Define Dissatisfaction with Road Elements -- 5.4.1 Dissatisfaction with Road Elements Related to the Inconvenience of Accessibility -- 5.4.2 Developing Decision Tree Models Describing Objective Conditions that the Dissatisfaction of the Road Elements Appear -- 5.4.2.1 Preparation of Quantitative Indicators of Road Elements' Distribution on the Route of Each Respondent
- 5.4.2.2 Extraction of Evaluation Bifurcation Points of Dissatisfaction for Each Road Elements by Decision Tree Models -- 5.4.3 Applications of the Developed Models -- 5.5 Conclusion -- 5.5.1 Summary of the Study -- 5.5.2 Future Research Directions -- References -- 6 Relationship Between Crime Rate of Residential Burglary and Local Context -- 6.1 Introduction -- 6.1.1 Background and Purpose -- 6.1.2 Literature Review -- 6.1.3 "Safer Places" -- 6.2 Methodology -- 6.2.1 Target Area -- 6.2.2 Residential Burglary Rate-Dependent Variable -- 6.2.3 Neighborhood Characteristics-Explanatory Variables -- 6.2.4 Statistical Analysis -- 6.3 Results -- 6.3.1 Multiple Regression Analysis -- 6.3.2 Structural Equation Modeling -- 6.4 Discussion -- 6.4.1 Effects of Each Variable on Crime Rate -- 6.4.2 Main Findings and Implications -- References -- 7 A Spatial Analysis of the Effects of Neighborhood Socio-economic Status on Residential Burglaries in Tokyo: Focusing on the Spatial Heterogeneity and the Interactions with Built Environment -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 Data -- 7.2.2 Variables -- 7.2.3 Analysis Method -- 7.3 Relationship Between Crime Rate and Neighborhood SES -- 7.4 Spatial Heterogeneity in the Relationship Between Crime Rate and Neighborhood SES -- 7.5 Neighborhood SES Effects on the Relationships Between Crime Rates and Built Environment -- 7.6 Conclusion -- References -- 8 Factors Affecting Installation of Residential Photovoltaics in Housing Estates in Kakegawa City, Shizuoka: Focusing on Housing and Surrounding Environment Characteristics -- 8.1 Introduction -- 8.2 Research Methods -- 8.2.1 Research Subjects -- 8.2.2 Data -- 8.2.2.1 Building Polygons -- 8.2.2.2 Building Height -- 8.2.2.3 Presence or Absence of Residential PV Installations -- 8.2.3 Process of the Study
- 8.3 Presence or Absence of Residential PV Installations (Analysis 1) -- 8.3.1 Analysis Method -- 8.3.2 Analysis results -- 8.4 Comparison of Housing Estates and Neighboring Areas (Analysis 2) -- 8.4.1 Analysis Method -- 8.4.2 Analysis Results -- 8.5 Discussion -- 8.5.1 House Characteristics -- 8.5.1.1 Relationship with Building Area and Height -- 8.5.1.2 Relationship with Changes in Building Form -- 8.5.1.3 Relationship with Building Agreements -- 8.5.2 Characteristics of the Surrounding Environment (Relationship with the Interval Between Adjacent Buildings) -- 8.6 Conclusion -- References -- Part II Urban Analysis -- 9 Statistical Multi-dimensional Scaling with a Geographical Penalty: Development of Bayesian Multi-dimensional Scaling and Its Application to Time-Space Mapping -- 9.1 Introduction -- 9.2 Multi-dimensional Scaling -- 9.3 Bayesian Geographical Multi-dimensional Scaling -- 9.4 Inference on BGMDS -- 9.5 Time-Space Map Among Prefectures in Japan -- 9.6 Comparison to MDS -- 9.7 Discussion and Conclusion -- References -- 10 Factors that Influence Estimation of Building Location in City Blocks in Tokyo Commercial Zones -- 10.1 Introduction -- 10.1.1 Background -- 10.1.2 Summary of Previous Research -- 10.1.3 Purpose -- 10.2 Research Method -- 10.2.1 Data Analysis -- 10.2.2 Construction of Model for Estimating City-Block Buildings -- 10.3 Classification of City Blocks -- 10.3.1 Method for Calculating Estimation Accuracy (Error Rate) in Model for Estimating City-Block Building Location -- 10.3.2 City-block Classification -- 10.3.3 Results -- 10.4 Estimation of City-block Building Locations -- 10.5 Discussion -- 10.6 Conclusion -- References -- 11 A Diagnostic Approach to the Multicollinearity Problem for Better Model Selection in the Hedonic Pricing Method -- 11.1 Introduction -- 11.2 Methods -- 11.2.1 Construction of Regression Models
- 11.2.1.1 Generation of Explanatory Variables -- 11.2.1.2 Generation of the Dependent Variable (Realized Value) -- 11.2.1.3 Construction of Regression Models -- 11.2.2 Indicators Representing the Impact of Multicollinearity -- 11.2.2.1 Calculation of Indicators -- 11.2.2.2 Basic Statistics of the Indicator Values -- 11.3 Results -- 11.3.1 Impact on Estimated Regression Coefficients -- 11.3.1.1 Relationship Between VIF and Deviation C of Regression Coefficients: GLM-I -- 11.3.1.2 Concepts of Severity and Probability of Deviation -- 11.3.1.3 Degree of Regression Coefficient Deviation and Probability of Regression Coefficient Deviation Occurrence -- 11.3.1.4 Robustness of GLM-I -- 11.3.1.5 Comparison and Test for Differences -- 11.3.2 Impact on the Estimated Values of the Dependent Variable -- 11.3.2.1 Relationship Between VIF and Deviation B of Estimates: GLM-II -- 11.3.2.2 Relationship Between Deviation C of Regression Coefficients and Deviation B of Estimates: GLM-III -- 11.4 A Method for Diagnosing the Risk of Multicollinearity -- 11.5 Discussion -- References -- 12 Theoretical Relationships Between Building Setback, Plot Frontage, and Plot Depth in Terms of Road and Building Densities -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Mathematical Formulation of the Average Plot Frontage, Depth, and Allowance for Building Setback in a District -- 12.3.1 Semi-Gross Building Density -- 12.3.2 Average Plot Frontage as the Function of Building Density and Road-network Density -- 12.3.3 Average Plot Depth and Average Plot Depth to Frontage Ratio -- 12.3.4 Average Allowance for Building Setback -- 12.4 Empirical Case Analyses in the Tokyo Metropolitan Region -- 12.4.1 Computing the Empirical Area of the Road Networks
- 12.4.2 Frequency Distribution of the Average Plot Frontage, Depth, and the Average Plot Depth to Frontage Ratio and Their Geographical Distribution in Tokyo