Study at TCU

Reseacher

Name SUESHIGE Yuichi
Official Title Associate Professor
Affiliation Urban Planning, Architectural Planning
E-mail suey@tcu.ac.jp
Web
  1. https://www.risys.gl.tcu.ac.jp/Main.php?action=profile&type=detail&tchCd=5601012
  2. http://www.toshiseikatsu-gakubu.jp/staff/index.html#sueshige
Profile My specialty is human-centered urban planning and its management. I work with stakeholders in urban planning, including governments, local governments, shopkeepers, businesses, and citizens. I think that sustainable cities need public spaces where people can walk, interact, and spend their leisure time. In order to find ways to create such public spaces, I focus on the relationship between urban space and human behavior. As a concrete example, I define an urban landscape that includes human activities as an "Activity-scape”, and conduct research on what human activities contribute to improving the "Activity-scape”. In another example, I conduct research on the urban environmental factors that cause visitors to take active strolling in urban areas, and research on the affinity between future personal mobility and human activities in the public space. These results are clarified through presentations at domestic and international conferences and publications in journals.
Research Field(Keyword & Summary)
  1. (1) The influence of human activities on impression of urban landscape

    The field of urban landscape design includes cases such as the preservation of existing streetscapes and the creation of new landscapes. However, most of the subjects were hardware-centric, and the urban landscape including human activities was not treated. The purpose of this study is to clarify the effect of human activities on impression evaluation for urban landscapes through experiments. The results revealed that social activities created by interactions with people have a greater influence on liveliness and attractiveness than do single activities; thus, it is important to create spaces where people can interact with each other.

  2. (2) The effectiveness of considering human activities in building consensus on public space planning

    The objective of this study was to clarify the effectiveness of expressing activities in a VR system for public space planning to support consensus building with citizens, based on the idea that it is important to consider people's activities when creating attractive public spaces. We constructed a VR system comprising a background expressed in 3DCG and activities expressed in real video image. As a result of the evaluation experiment, it became easier to visualize the utilization of space by expressing an activity. Although its effectiveness was clarified, some problems regarding the functioning of the system were highlighted.

Representative Papers
  1. (1) A Classification of Avoidance Behavior Considering of Pedestrian's Acceleration, Transactions of Japan Society for Interior Studies, Issue 31th, pp.5-10, 2021.3
  2. (2) Influence of People's Activities in Public Spaces on Impression Evaluation of Urban Landscape, AIJ Journal of Technology and Design, Vol.27, No.65, pp.464-468, 2021.2
  3. (3) Effectiveness of Activity Expression in VR System to Build Consensus for Public Space Planning, Journal of Civil Engineering and Architecture (JCEA), Volume14(#154), No.9, pp.487-497, 2020.9
  4. (4) A Study on Interregional Differences in Elderly Person’s Remote Care in Terms of Traveling Time and Expense - Comparative Consideration in TOKYO area and OSAKA area -, Journal of Civil Engineering and Architecture (JCEA), Volume14(#153), No.8, pp.433-451, 2020.8
  5. (5) Research on Improvement of Utilization of Open Space: Through Demonstration Experiment Focusing on Spatial Elements, Journal of Civil Engineering and Architecture (JCEA), Volume14(#148), No.3, pp.153-159, 2020.8
  6. (6) Relationship between the Strolling Activity of Visitors with Babies and their Breastfeeding Activity in a Shopping District -The Environmental Factors that Encourage People with Children to Stroll-, Journal of the City Planning Institute of Japan, Vol.54(2019), No.3, pp.1161-1168, 2019.10
  7. (7) The Future Prediction for a Shopping District through Surveys of Shopkeepers' Intentions to Remain in Business -A Case Study of the Oyamadai District, Setagaya Ward, Tokyo-, Journal of the City Planning Institute of Japan, Vol.53(2018), No.3, pp.618-624, 2018.10
  8. (8) A Study on Town Management Following the Development of the Land Readjustment Project -Case Study of Shinyurigaoka District Land Readjustment Project Carried Out by Landowners-, Journal of the City Planning Institute of Japan, Vol.51(2016), No.3, pp.230-236, 2016.10
  9. (9) The Visual Information which Encourage or Restain Citizen's Strolling Activities in Urban Space -On the Relationship of Strolling Activities and Visual Information Given by the Eenvironment in Downtown Kumamoto Part II-, Journal of Architecture and Planning(Transactions of AIJ), Vol.72(2007), No.614, pp.191-197, 2007.4
  10. (10) Assessment of the Linked QTVR Simulator for Observing Strolling Activities of Citizens -On the Relationship of Strolling Activities and Visual Information Given by the Eenvironment in Downtown Kumamoto-, Journal of Architecture and Planning(Transactions of AIJ), Vol.70(2005), No.597, pp.119-125, 2005.11
Award TCU Best Lecture Award(2017)
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS) https://nrid.nii.ac.jp/ja/nrid/1000040386785/
Research Grants/Projects including subsidies, donations, grants, etc. (1)Join Research Fund of Tokyu Corporation., 2016-2017
(2)Join Research Fund of Kawasaki New City Foundation., 2011-2015
Recruitment of research assistant(s) No
Affiliated academic society (Membership type) (1) Architectural Institute of Japan:AIJ (Senior Member)
(2) The City Planning Institute of Japan:CPIJ (Senior Member)
(3) Japan Society for Interior Studies: JASIS (Senior Member)
Education Field (Undergraduate level) Urban Planning, Urban Digital Simulation, BIM
Education Field (Graduate level) Human Behavior Analysis, Action Research for Cities

Affiliation