Nishi Hayato 西颯人

Researcher Number	10962235
Other IDs	https://orcid.org/0000-0002-3195-4638
Affiliation (Current)	2024: 東京大学, 大学院工学系研究科(工学部), 特任講師
Affiliation (based on the past Project Information) *help	2024: 東京大学, 大学院工学系研究科(工学部), 特任講師 2023: 一橋大学, 大学院ソーシャル・データサイエンス研究科, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 25010:Social systems engineering-related Except Principal Investigator Basic Section 07040:Economic policy-related
Keywords	Principal Investigator 地理的荷重回帰モデル / 地理情報システム / 空間回帰モデル Except Principal Investigator 東京 / スケーラブル / 確率的勾配 / 地理的加重回帰分析 / 非線形性 / 駅価値 / 中心駅 … More / 不動産価格 / 東京圏 / 物件特性 / 市場分割 / 市場滞留期間 / 賃貸住宅市場 Less

Methodology to estimate various large-scale spatial regression modelsPrincipal Investigator
- Principal Investigator
  
  西颯人
- Project Period (FY)
  2024 – 2028
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 25010:Social systems engineering-related
- Research Institution
  The University of Tokyo
A study on the time-on-market of rental housing in the Tokyo metropolitan area
- Principal Investigator
  
  浅見泰司
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 07040:Economic policy-related
- Research Institution
  The University of Tokyo

All 2023

All Journal Article

[Journal Article] The central station in Tokyo 23 wards for land transaction prices2023
- Author(s)
  西颯人, 浅見泰司
- Journal Title
  
  Journal of the City Planning Institute of Japan
  
  Volume: 58 Issue: 3 Pages: 501-507
- DOI
  10.11361/journalcpij.58.501
- ISSN
  0916-0647, 2185-0593
- Year and Date
  2023-10-25
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22H00245, KAKENHI-PROJECT-23K25507
[Journal Article] Stochastic gradient geographical weighted regression (sgGWR): scalable bandwidth optimization for geographically weighted regression2023
- Author(s)
  Nishi Hayato、Asami Yasushi
- Journal Title
  
  International Journal of Geographical Information Science
  
  Volume: 38 Issue: 2 Pages: 354-380
- DOI
  10.1080/13658816.2023.2285471
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H04376, KAKENHI-PROJECT-22H00245, KAKENHI-PROJECT-23K25507, KAKENHI-PROJECT-23K26219

1. 浅見泰司 (10192949)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results

Nishi Hayato 西颯人

Research Projects

Research Products

Co-Researchers

Methodology to estimate various large-scale spatial regression modelsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A study on the time-on-market of rental housing in the Tokyo metropolitan area

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] The central station in Tokyo 23 wards for land transaction prices2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Stochastic gradient geographical weighted regression (sgGWR): scalable bandwidth optimization for geographically weighted regression2023

Author(s)

Journal Title

DOI

Data Source

Nishi Hayato 西 颯人

Research Projects

Research Products

Co-Researchers

Methodology to estimate various large-scale spatial regression modelsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A study on the time-on-market of rental housing in the Tokyo metropolitan area

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] The central station in Tokyo 23 wards for land transaction prices2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Stochastic gradient geographical weighted regression (sgGWR): scalable bandwidth optimization for geographically weighted regression2023

Author(s)

Journal Title

DOI

Data Source

Nishi Hayato 西颯人