Academic Journal
Factor Analysis for Land Value Index in Urban Areas Using Agent Analysis Indicator
| العنوان: | Factor Analysis for Land Value Index in Urban Areas Using Agent Analysis Indicator |
|---|---|
| المؤلفون: | Ota, Akira, Kobayashi, Junya, Kaneda, Toshiyuki |
| بيانات النشر: | CORP – Competence Center of Urban and Regional Planning |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | GB Physical geography, HA Statistics, HD Industries. Land use. Labor, geo, archi |
| الوصف: | The factors affecting a land value index such as land assessments are important for the development and growth of urban areas. Ota and Kaneda (2018) conducted a comparative analysis of a land value index in the central Nagoya area of Japan and reported that the factor structure could be explained by three factors: distance from the nearest station as an accessibility factor; the concentration of neighborhood commercial and business uses as a facility volume factor; and the integration value of the entire area as an indicator of the street network centrality of the vis graph analysis of space syntax theory, or “VGA”, as a space configuration factor. In an urban area, a busy street’s land value index is considered to be higher. The integration value of the VGA indicator, which represents the street network centrality as a space configuration, has been used as a busy street factor. However, high street network centrality is not always needed for a busy street. Therefore, it is a possible that simulating actual pedestrians from the space configuration is a stronger factor for a busy street than a high street network centrality. Simulating actual pedestrians from the space configuration can be conducted using agent analysis, or “AA.” In this paper, we examine a multiple regression model for the factors and a land value index of the Kanayama area of Nagoya City using a VGA indicator and then replacing the VGA indicator with the AA indicator as a new factor. By comparing the two models, we explore the potential for using the AA indicator as a land value index factor. In conclusion, the global integration value of the VGA indicator was selected as a factor for a busy street with a multiple correlation coefficient of 0.750, a coefficient of determination of 0.562, and an Akaike information criterion (AIC) of 352.093 with a standard partial regression coefficient of 0.362 in the conventional factor structure. On the other hand, when the number of AA footprints (station occurrences) of the AA indicator was selected as a . |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | http://repository.corp.at/900/1/CORP2022_60.pdf; http://repository.corp.at/900/ |
| الاتاحة: | http://repository.corp.at/900/1/CORP2022_60.pdf http://repository.corp.at/900/ |
| Rights: | undefined |
| رقم الانضمام: | edsbas.B4C29207 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |