Yichen Mo

selected papers

1. Journal

   ArchIndex: 基于多源数据的城市街区检索引擎

   Mo, Yichen, Ludger, HOVESTADT, Li, Biao, and Tang, Peng

   新建筑, 2024(1):15-21

   Abs Bib PDF

   城市街区检索引擎是一种城市认知智能，通过整合和呈现多源城市数据，建立城市空间检索模型，从而简化城市设计前期的认知和调研。文章通过动态网页提供城市街区检索引擎ArchIndex，在可定期更新的空间关系数据库的基础上，采集街区实例数据，建立形态、功能、活力三个方面的向量化指标，用于城市街区的检索与可视化。最终方案实现了分布式运行部署，可对任意城市建立索引，用云端计算与网页应用，为城市形态学研究提供了易用的工具和新的方法。

   @article{MoArchIndex2024,
     abbr = {Journal},
     selected = {true},
     bibtex_show = {true},
     title = {ArchIndex: 基于多源数据的城市街区检索引擎},
     author = {Mo, Yichen and Ludger, HOVESTADT and Li, Biao and Tang, Peng},
     year = {2024},
     journal = {新建筑},
     volume = {1},
     number = {15-21},
     pdf = {archindex-na.pdf}
   }

2. Journal

   Case-Based Reasoning Strategy for Urban Morphological Generative Design: A Case Study of Block Scale

   Zhang, Baizhou,  Mo, Yichen, and Li, Biao

   South Architecture, 2023(01):09-18

   Bib PDF

   @article{zhangMorphological2023,
     abbr = {Journal},
     selected = {true},
     bibtex_show = {true},
     author = {Zhang, Baizhou and Mo, Yichen and Li, Biao},
     journal = {South Architecture},
     number = {09-18},
     title = {Case-Based Reasoning Strategy for Urban Morphological Generative Design: A Case Study of Block Scale},
     volume = {01},
     year = {2023},
     pdf = {morphological.pdf}
   }

3. CDAC 2022

   Research on Light Weight JSON based Exchange Format for Architectural Design

   Mo, Yichen, and Li, Biao

   In Proceedings of 2022 Computational Design Symposium and the Annual Conference of Computational Design Academic Committee of Architectural Society of China, 2022

   Abs Website

   ArchiJSON is a light weight web data exchange format for architectural design. It mainly work with ArchiWeb, which is an open source web-based 3D editor for exhibiting computational design.

4. Journal

   Automatic Generation of High-rise Residential Facades from the Perspective of Building Industrialisation

   Wu, Jiaqian, Li, Biao, and Mo, Yichen

   South Architecture, 2022(04):25-31

   Bib PDF

   @article{wuResidentialFacades2022,
     abbr = {Journal},
     selected = {true},
     bibtex_show = {true},
     author = {Wu, Jiaqian and Li, Biao and Mo, Yichen},
     journal = {South Architecture},
     number = {25-31},
     title = {Automatic Generation of High-rise Residential Facades from the Perspective of Building Industrialisation},
     volume = {04},
     year = {2022},
     pdf = {residential-facades.pdf}
   }

5. CUPUM 2021

   ArchIndex : A Web-based and Data-driven Retrieval System for City Blocks

   Mo, Yichen, Zhang, Baizhou, and Li, Biao

   In Proceedings of the 17th International Conference on Computational Urban Planning and Urban Management (CUPUM),, 2021

   PDF Website
6. CAADRIA 2021

   Archibase: A City-Scale Spatial Database for Architectural Research

   Mo, Yichen, Li, Biao, Wu, Jiaqian, and Tang, Peng

   In PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, Hong Kong, 29 March - 1 April 2021, pages 519–528, 2021(2)

   Abs Bib PDF Video

   The explosion of geolocation data and data-based algorithms has the potential to analyze sophisticated urban areas and foster a more robust urban model. To better collect and organize the city data, this paper introduces a city-scale spatial database called ArchiBase, built upon Java and web APIs of open source databases. With hierarchical, layered, and regularly-updated spatial data defined by relation table, ArchiBase allows indexing and geometric searching of the entire city and supports applications and extensions for different cities. This research is from a graduate urban design course aiming to renew Prato, an industrial city in Italy. ArchiBase first creates the base version of Prato from multiple data sources, then illustrates the usability and expandability through three simple applications. The use of ArchiBase can better interpret future cities and demonstrate the unparalleled opportunities of collaboration and remote work for urban researchers and designers.

   @inproceedings{moArchiBase2021,
     abbr = {CAADRIA 2021},
     selected = {true},
     bibtex_show = {true},
     title = {Archibase: {{A City-Scale Spatial Database}} for {{Architectural Research}}},
     author = {Mo, Yichen and Li, Biao and Wu, Jiaqian and Tang, Peng},
     booktitle = {PROJECTIONS - Proceedings of the 26th <strong>CAADRIA</strong> Conference - Volume 2, Hong Kong, 29 March - 1 April 2021, pages 519–528},
     volume = {2},
     pages = {519-528},
     year = {2021},
     pdf = {archibase.pdf},
     video = {https://caadria2021.org/session-2C#135}
   }