2011 19th International Conference on Geoinformatics 2011
DOI: 10.1109/geoinformatics.2011.5980846
|View full text |Cite
|
Sign up to set email alerts
|

The effects of land's proximity to river on spatial pattern of land prices in Tokyo metropolitan area using GIS: An analytical assessment

Abstract: This paper investigates the effects of land's proximity to river at a distance of 200 meters on land prices in Tokyo metropolitan Area (TMA) using Geographic Information System (GIS). Line Density Function was employed to estimate the effects of distance and Geographically Weighted Regression (GWR) was applied for assessing the effects of land's proximity to river. The result of GWR demonstrated that there have been different effects of land's proximity to river in areas near Tokyo Bay and suburbs. In the firs… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 4 publications
0
1
0
Order By: Relevance
“…Information on property prices is one of the key factors that determine decisions in various types of activities, in particular those based on spatial data. Maps showing land prices are created using various methods and tools, most of which depend on correlations between land prices associated with other variables such as centralities (Eshliki, Angherabi, 2011;Cellmer et al 2014;Chung et al 2018;Burian et al 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Information on property prices is one of the key factors that determine decisions in various types of activities, in particular those based on spatial data. Maps showing land prices are created using various methods and tools, most of which depend on correlations between land prices associated with other variables such as centralities (Eshliki, Angherabi, 2011;Cellmer et al 2014;Chung et al 2018;Burian et al 2018).…”
Section: Literature Reviewmentioning
confidence: 99%