The economic value of urban landscapes in a suburban city of Tokyo, Japan: A semantic segmentation approach using Google Street View images-Reference-Cited by-同舟云学术

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The economic value of urban landscapes in a suburban city of Tokyo, Japan: A semantic segmentation approach using Google Street View images

Published:2022-07-14 Issue:3 Volume:22 Page:1110-1125
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Suzuki Masatomo¹^ORCID,Mori Junichiro²^ORCID,Maeda Takashi Nicholas³^ORCID,Ikeda Jun²

Affiliation:

1. Center for the Promotion of Social Data Science Education and Research, Hitotsubashi University, Tokyo, Japan

2. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

3. Department of Information System Engineering, School of System Design and Technology, Tokyo Denki University, Tokyo, Japan

Funder

JSPS KAKENHI

Google Cloud Platform Credit Coupon

The University of Tokyo

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2022.2070492

Reference33 articles.

1. Street view imagery in urban analytics and GIS: A review

2. Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

3. The Cityscapes Dataset for Semantic Urban Scene Understanding

4. Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning

5. The External Effects of Local Attributes on Living Environment in Detached Residential Blocks in Tokyo

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