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Takeshi Kinoshita

Biographic Data

ID6309640
NAMETakeshi Kinoshita
GIVEN NAMESTakeshi
FAMILY NAMEKinoshita
SIGNATUREKINOSHITA T
AFFILIATIONSChiba University
ORCID0000-0002-1290-0650
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification

    Open Access•Xiaoqi Yang, Takeshi Kinoshita et al.•ARTICLE•Sustainable Development•2025•References: 2

    As an early concept in Green Infrastructure (GI) research, landscape‐scale GI (LGI) has faced challenges due to its large spatial scale, limiting its application compared to smaller‐scale GI. However, its efficiency and multifunctionality in supporting Sustainable Development Goals (SDGs) are gaining attention. To address knowledge fragmentation and research gaps, this study integrates meta‐analysis with a systematic review to examine key factors…

  • What promotes residents’ donation behavior for adaptive reuse of cultural heritage projects? An application of the extended theory of planned behavior

    Open Access•Hongyu Li, Takeshi Kinoshita et al.•ARTICLE•Sustainable Cities and Society•2024

  • How heritage promotes social cohesion

    Open Access•Hongyu Li, Konomi Ikebe et al.•ARTICLE•Cities•2024•References: 105

  • Toward green equity

    Open Access•Jie Chen, Takeshi Kinoshita et al.•ARTICLE•Sustainable Cities and Society•2023

  • Magnification rate of objects in a perspective image to fit to our perception

    Open Access•KAZUMI NAGATA, ATSUSHI OSA et al.•ARTICLE•Japanese Psychological Research•2008

    A landscape photograph may give a different impression from that formed at the real scene, with respect to the size and distance of objects. Researchers have reported that the perceived sizes and distances of objects in a photograph are not identical to those in a real space. In order to develop a method to create a graphic image that is close to our visual impression as seen in the real space, two experiments were conducted. In Experiment 1, we …

No prominent works on this page.

  • Magnification rate of objects in a perspective image to fit to our perception

    Open Access•KAZUMI NAGATA, ATSUSHI OSA et al.•ARTICLE•Japanese Psychological Research•2008

    A landscape photograph may give a different impression from that formed at the real scene, with respect to the size and distance of objects. Researchers have reported that the perceived sizes and distances of objects in a photograph are not identical to those in a real space. In order to develop a method to create a graphic image that is close to our visual impression as seen in the real space, two experiments were conducted. In Experiment 1, we …

  • Toward green equity

    Open Access•Jie Chen, Takeshi Kinoshita et al.•ARTICLE•Sustainable Cities and Society•2023

  • What promotes residents’ donation behavior for adaptive reuse of cultural heritage projects? An application of the extended theory of planned behavior

    Open Access•Hongyu Li, Takeshi Kinoshita et al.•ARTICLE•Sustainable Cities and Society•2024

  • How heritage promotes social cohesion

    Open Access•Hongyu Li, Konomi Ikebe et al.•ARTICLE•Cities•2024•References: 105

  • Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification

    Open Access•Xiaoqi Yang, Takeshi Kinoshita et al.•ARTICLE•Sustainable Development•2025•References: 2

    As an early concept in Green Infrastructure (GI) research, landscape‐scale GI (LGI) has faced challenges due to its large spatial scale, limiting its application compared to smaller‐scale GI. However, its efficiency and multifunctionality in supporting Sustainable Development Goals (SDGs) are gaining attention. To address knowledge fragmentation and research gaps, this study integrates meta‐analysis with a systematic review to examine key factors…

Political science (4 works) · Geography (3 works) · Business (2 works) · Computer Science (2 works) · Ecology (2 works) · Economics (2 works) · Engineering (2 works) · Perception (2 works) · Psychology (2 works) · Sustainable development (2 works)

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