Binyu Lei

PhD Researcher | NUS | Urban Analytics Lab. Master of Urban Planning from UniMelb

[Climate Change AI @ClimateChangeAI]

Join us on Oct 11 for our next @ClimateChangeAI Discussion Seminar "Multimodal AI Approaches for Urban Microclimate Prediction and Building Analysis", featuring @urbanalyticslab (@KunihikoFujiwar, @BinyuLei & Xiucheng Liang)🌆

Learn more & sign up here: https://t.co/3BIHYRI58Q

[Urban Analytics Lab @urbanalyticslab]

The 18th 3D GeoInfo conference 2023 was hosted by the @TUMgis in Munich. After we organised its 2019 edition in Singapore (in collaboration with SLA), this time, our research group was represented by @BinyuLei & @fbiljecki https://t.co/Xfhe5VTlvW

[Filip Biljecki @fbiljecki]

It was a great honour to give a keynote at #3dgeoinfo2023 at TU Munich 🇩🇪 & receive the best paper award for our work led by @BinyuLei @urbanalyticslab 🏆. Many thanks to @TUMgis for the splendid organisation! I hope to see everyone again in Vigo 🇪🇸 in July 2024 for the next one!

[Urban Analytics Lab @urbanalyticslab]

Congratulations to our @winstonyym and @BinyuLei on passing their PhD qualification exams this week. 💫

[King's Arts & Humanities @kingsartshums]

🏙️ On 4 July, join the @CuspLondon online workshop on visualisation methods and future trends in 3D city models.

Hear from @binocularity, @BinyuLei, @fbiljecki, @skeiron_llc, @peterbaudains, @SandorPetroczi and researchers from @kingsdh & @KingsNMES ⬇️ https://t.co/Kx6im1jJvR

[Binyu Lei @BinyuLei]

We are happy to share this cover story in @gim_intl Check out the article if you have an interest 😄

[Urban Analytics Lab @urbanalyticslab]

The article of our PhD researcher @BinyuLei is the cover story of the latest issue of @gim_intl, a leading magazine for geospatial professionals. It features her research on uncovering the challenges of urban digital twins. Read more: https://t.co/lUuCeeL91f

[Urban Analytics Lab @urbanalyticslab]

Sustainable Cities and Society publishes our novel work on spatio-temporal-explicit GeoAI to predict human outdoor comfort. The study was authored by @Neil_Liu_2017, @Tianhong_zhao, @JunjieLuo21, @BinyuLei, @mariofrei, @ClaytonMillers & @fbiljecki. https://t.co/seqQSpqIqa

[Binyu Lei @BinyuLei]

@binocularity @CuspLondon Absolutely! Our lab also have several ongoing projects related to the field of urban digital twins. We are more than happy to have an online sharing. Would be wonderful to discuss it further

[Binyu Lei @BinyuLei]

3) The severity of challenges is further indicated by expert participants:

[Binyu Lei @BinyuLei]

In this new Automation in Construction paper (Open Access: https://t.co/r8tcPQqjrK), co-authored with Patrick Janssen, @jantienstoter, and @fbiljecki, we investigate what challenges hinder the implementation of urban digital twins.

[Binyu Lei @BinyuLei]

2) We identified 14 technical and 9 non-technical challenges, mapping them into the lifecycle of urban digital twins:

[Binyu Lei @BinyuLei]

1) The research approach includes a systematic review and a 3-round Delphi expert survey. We analysed 34 academic papers to review challenges in the research landscape. In the Delphi survey, 29 international panellists with diverse backgrounds in this domain completed the survey:

[Filip Biljecki @fbiljecki]

Helsinki, Amsterdam and Espoo have the best open 3D city models worldwide 🏙. @BinyuLei established an approach (3D City Index) to assess and benchmark 3D datasets across 47 characteristics. (1/3)

[Binyu Lei @BinyuLei]

We also prepared a website to deposit the links of assessed 3D city models: https://t.co/NhCaPSckao
You are welcome to pay a virtual visit to different cities 🌏!

[Binyu Lei @BinyuLei]

How can we help people understand the properties and usability of 3D city models🏙? With @fbiljecki and Rudi Stouffs, we propose a 4-category framework with 47 criteria and evaluate 40 city models worldwide. This new work is published online: (@ijgis - https://t.co/t2mf7v3AZu)

[Binyu Lei @BinyuLei]

An example of visualising Linz’s 3D model via Azul, including attribute content of each building. The semantics of data plays an important role. In this work, dozens of datasets have been inspected for the presence of particular attributes that are key to several use cases

[IJGIS @ijgis]

New paper: Assessing and benchmarking 3D city models by Lei B, Stouffs R & @fbiljecki #ijgis #GIScience #3Dmodels #CityModels #DigitalTwins
https://t.co/glUA52cZi9

[Filip Biljecki @fbiljecki]

Check out this new short video which highlights some of the work done in our @urbanalyticslab. Glad to be featured by NUS CDE alongside representatives from the team @BinyuLei, @KoichiIto12, @winstonyym & Abraham. Thanks to CDE for the support! https://t.co/rQ9PoFwui9