Profile avatar
yuanliao.bsky.social
Visiting postdoc in mobility data science at Technical University of Denmark | postdoc at Chalmers University of Technology. #UrbanBigData & #Transportation | yuan-liao.com
26 posts 89 followers 83 following
Regular Contributor

Glad to share our review paper on socio-spatial segregation and human mobility 📑https://www.sciencedirect.com/science/article/pii/S0198971525000031 Another wonderful collab led by @yuanliao.bsky.social + team work with @sonia-yeh.bsky.social , @jorgealgil.bsky.social & L.Alessandretti

🌏💡 Our review article was published on how mobility data—ranging from traditional surveys to emerging GPS and social media datasets—shifts our understanding of socio-spatial segregation. www.sciencedirect.com/science/arti... #UrbanStudies #SocialIntegration #HumanMobility #BigData #EquityInCities

🚢⚡ Join the POTENT Marie Skłodowska-Curie Actions Doctoral Network to advance ports as clean energy transition hubs in Europe. 🌍 🔍 3 Positions: 1️⃣ Smart Ports Systems Integration 2️⃣ Electrified Ports & Grid Design 3️⃣ Ports Energy Infrastructure & Resilience 📅 Apply now: www.chalmers.se/en/about-cha...

#IC2S2'25 Tutorials deadline is this Friday—Jan 17, 2025. Submit your tutorial proposal now: www.ic2s2-2025.org/submit-tutor...

Don’t miss our poster at #TRBAM! Join us Tue, Jan 07 (10:15 AM–12 PM ET) in Convention Center Hall A. Check out how we combine mobile app data & travel surveys to synthesize realistic activity patterns of a large population. See you there!

Prof. Jennie E. Brand from UCLA will be a keynote speaker for #IC2S22025 in Norrköping, Sweden. 🎙Causal Inference and Machine Learning for Social Science: Uncovering Effect Heterogeneity. Learn more: ic2s2-2025.org. Stay tuned for more keynote speakers and updates!

We look forward to receiving your tutorial proposals!

Attended a webinar yesterday about Socioeconomic Data and Applications Center (SEDAC) at NASA. They have many useful resources for urban studies: www.earthdata.nasa.gov/centers/seda... The webnar slides deck and video can be found here: www.earthdata.nasa.gov/learn/webina...

Day 30 of #30DayMapChallenge: The final map. Visitors travel distances during the first month of the D-Ticket (May 2023). I’m proud to have completed all 30 days of the map challenge. The experience was both immensely fun and deeply rewarding.

Day 29 of #30DayMapChallenge: Overture. Buildings and places in Linköping, Sweden.

Day 28 of #30DayMapChallenge: The blue planet. The largest lake in Sweden by area.

Update on the review article about human mobility and socio-spatial segregation, where we made structural adjustments and clarified key concepts. Check out our preprint here: arxiv.org/abs/2403.06641

Day 27 of #30DayMapChallenge: Micromapping. The building data (marked in yellow) we got from GSD Property map vector in 2019 should be updated, as it missed a few buildings in the area.

Day 26 of #30DayMapChallenge: Map projections. Flight routes in Perters Projection.

Day 25 of #30DayMapChallenge: Heat. Visitation intensity during the 9-Euro Ticket Scheme.

Day 24 of #30DayMapChallenge: Only circular shapes. Varying visiting distances during the 9-Euro Ticket Scheme.

Day 23 of #30DayMapChallenge: Memory. My primary school: Yucai in Xiangtan, Hunan, China. OSM is seriously outdated in terms of the road networks and buildings in this area.

Day 22 of #30DayMapChallenge: Two colors. Travel distance by visitors during the 9-Euro Ticket Scheme in Germany. This is computed from a large amount of mobile phone geolocation data.

Please follow us here @ic2s2.bsky.social and stay tuned!

Day 21 of #30DayMapChallenge: Conflict. Road network and State of Palestine - Subnational Administrative Boundaries. Source: data.humdata.org/dataset/cod-...

Day 20 of #30DayMapChallenge: Data: OpenStreetMap. Playgrounds in Berlin.

Day 19 of #30DayMapChallenge: Typography. This is a labeling exercise.

Day 18 of #30DayMapChallenge: 3D. Job accessibility within 30 minutes by public transit in Gothenburg. The height encodes the population size in grids.

Day 17 of #30DayMapChallenge: Collaborative map. The idea was developed by my partner, and I implemented it. The original idea was to have the spatial distribution of criminal cases by occurrence. Apparently, this kind of data is tricky to get. Source: www.svt.se/nyheter/inri...

Day 16 of #30DayMapChallenge: Choropleth.

Day 15 of #30DayMapChallenge: My data. Part of my commute trip from mobile GPS tracking data.

We are hosting the 11th International Conference on Computational Social Science in Sweden 🚀The IC2S2'25 website is LIVE, and submissions are OPEN! 📍Norrköping | July 21-24, 2025 Call for Abstracts (until Feb 24) Call for Tutorials (until Jan 17) 🔗Explore details & submit: ic2s2-2025.org

Day 14 of #30DayMapChallenge: A world map. Flight routes from openflights.org. Used edge bundling in Datashader.