神戸大学附属図書館デジタルアーカイブ
入力補助
English
カテゴリ
学内刊行物
ランキング
アクセスランキング
ダウンロードランキング
https://hdl.handle.net/20.500.14094/90003700
このアイテムのアクセス数:
10
件
(
2024-04-20
06:33 集計
)
閲覧可能ファイル
ファイル
フォーマット
サイズ
閲覧回数
説明
90003700 (fulltext)
pdf
2.65 MB
5
メタデータ
ファイル出力
メタデータID
90003700
アクセス権
open access
出版タイプ
Accepted Manuscript
タイトル
Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method
著者
Seya, Hajime ; Yoshida, Takahiro ; Tsutsumi, Morito
著者ID
A1673
研究者ID
1000020584296
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail?systemId=da43e7014c301bd8520e17560c007669
著者名
Seya, Hajime
瀬谷, 創
セヤ, ハジメ
所属機関名
工学研究科
著者名
Yoshida, Takahiro
著者名
Tsutsumi, Morito
収録物名
Journal of Transport Geography
巻(号)
55
ページ
1-10
出版者
Elsevier
刊行日
2016-07
公開日
2018-08-01
抄録
This study proposes an approach for ex-post identification of the geographical extent of an area benefiting from a transportation project, using functional data analysis methods. Our approach focuses on real estate (land) price data for the ex-post spatial evaluation. First, we prepare a panel of land prices observed before, during, and after the project in the areas that are potentially impacted. Second, using functional data analysis, movements of land prices in each observed site during the target period are approximated by continuous functions. Third, using the functional ordinary Kriging technique, the functions for land price movements in each micro district are spatially predicted. Lastly, by employing the functional clustering (functional K-means) technique, potential areas of benefit may be identified. Different from exiting before-and-after methods, including difference-in-differences method, the proposed procedure based on functional data analysis can describe a map with a complex spatial distribution pattern of benefit rather than using distance bands (ring buffer) from transportation cores, such as railway stations, bus stops, and highway interchanges. Then, the proposed procedure is empirically applied to a large-scale Japanese heavy railway project. The obtained result shows so-called redistributive effect, that is, land prices decrease around exiting stations and increase around new stations. In addition, interestingly enough, the spatial distribution pattern of the identified areas of benefit using this procedure are fairly similar to that of ex-ante predicted areas of benefit by the hedonic approach. Thus, capitalization is observationally confirmed with regard to accessibility improvement.
キーワード
Functional data analysis
Functional clustering
Functional ordinary Kriging
Transportation project
カテゴリ
工学研究科
学術雑誌論文
権利
©2016.
This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
詳細を表示
資源タイプ
journal article
言語
English (英語)
ISSN
0966-6923
OPACで所蔵を検索
CiNiiで学外所蔵を検索
eISSN
1873-1236
OPACで所蔵を検索
CiNiiで学外所蔵を検索
関連情報
DOI
https://doi.org/10.1016/j.jtrangeo.2016.07.004
ホームへ戻る