| Github | https://github.com/miladmzdh |
🚨 New paper out! 🚨
We tracked 587 workers.
🏡 Improving just residential walkability isn’t enough.
🏢 Commercial, leisure, and other daily destinations also shape how people travel, and how much carbon they emit.
🔍 We also identified distinct “emitter profiles” based on car access, job type & gender.
🧭 Urban climate policy needs to move beyond the 15-minute city ideal.
📄 Open access in Cities: https://doi.org/10.1016/j.cities.2025.106321
We wrote a small piece on our open #Erasmus #StudentMobility data for a Finnish GIS professional magazine, Positio, with @miladmzdh, Oula Inkeröinen and Olle Järv. It is in #Finnish though.
#GIScience #Paikkatieto #Positio #Opiskelu #Tutkimus #Tiede #Vaihto #Research #AvoinData #OpenData
Ihmisten liikkuvuus on saanut paljon huomiota paikkatietoalalla viime vuosina eikä syyttä. Liikkuvuutta kuvaavia aineistoja käytetään laajalti eri
Ever wish you knew who already collected the GPS data you need?
We propose OpenGPS—a platform to share, store & process human mobility tracking data.
🌍 Phase I: metadata sharing, find out who has what
📦 Phase II: data storage & sharing
🧠 Phase III: privacy-aware cloud-based analysis tools
✅ Prototype already live
With @jedalong, @udemsar, Katarzyna Sila-Nowicka, Vanessa Brum-Bastos, Jinhyung Lee & Hui Jeong Ha.
✨ NEW TOOL FOR #MOBILITY DATA #DATAVIZ ✈️🚚🚗🏃
Do your visualisations of origin-destination matrices look like a mess of criss-crossing hairs? Maybe you could benefit from our #EdgeBundling tool by me, Oula Inkeröinen, @miladmzdh and Olle Järv!
🛠️ The tool: https://doi.org/10.5281/zenodo.14532547
This tool is an output from the #MobiTwin project funded by the #EuropeanUnion through the #HorizonEU programme.
Edge-bundling tool for regional mobility flow data This repository hosts the scripts to perform edge-path bundling (Wallinger et al. 2022) for flow data. It's primary use case is to support visualization of complex mobility data, and has been used to bundle human mobility flows across NUTS regions in Europe. The tool's inputs are two CSV files, one for point feature data and associated coordinates, and another for flows (edges) to be bundled. After bundling, the tool outputs a GeoPackage file. The script expects the data to be in WGS84 coordinate reference system. The scripts in this repo are repurposed versions of the original scripts written by Peterka (2023). The updates to the original code aim to make the code more usable for analytical purposes. This tool is an additional output of the Mobi-Twin research project. Requirements The scripts within the repo require Python 3.10 or newer version with the following packages: pandas geopandas tqdm shapely On top of these Python requirements, the script expects the input CSV data (centroids and edges) to have a certain structure. Data structure for input files Centroid file | ID_COLUMN | X | Y | | ---- | :----- | :---------- | | Unique identifier for centroid (e.g., NUTS code) | X coordinate (WGS84) of the centroid | Y coordinate (WGS84) of the centroid | N.B.: The ID_COLUMN in the above is an example name, use the column name you have in your data. Edge file | ORIGIN | DESTINATION | OD_ID | COUNT | | ---- | :----- | :---------- | :---------- | | ID code of origin | ID code of destination | ID made of origin and destination codes joined by an underscore (_) | Integer/floating point number of flow strength | N.B.: The ID codes of origins and destinations have to match the IDs of your centroid file. Usage Clone this repository, and run the tool by typing in the following command: python bundle_edges.py -c /path/to/centroids.csv -id ID_COLUMN -ew /path/to/edges.csv -o /path/to/output.gpkg If you want to adjust some parameters of the bundling, such as weights or bundling threshold use the flags -ew for edge weights (default is 2), and -t for bundling threshold (default is 2). The edge weights dictate how powerful the "gravity" of long edges are. The bundling threshold sets the distance limit for how many times longer the bundled edges can be compared to straight line distances, flows that are longer than the threshold are not bundled but remain as straight line geometries in the output. Please note, the script expects the coordinates to be in WGS84 (EPSG:4326) Test files We have provided two test CSV files that demonstrate the data structure of the required CSV files. These files can be found under the example_data directory. References Wallinger, M., Archambault, D., Auber, D., Nöllenburg, M., & Peltonen, J. (2022). Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. IEEE Transactions on Visualization and Computer Graphics, 28(1), 313–323. https://doi.org/10.1109/TVCG.2021.3114795 Peterka, O. (2024). Xpeterk1/edge-path-bundling. https://github.com/xpeterk1/edge-path-bundling (Original work published 2023). Related links Mobi-Twin project official webpage Digital Geography Lab webpage
🚨🌍 NEW ARTICLE 🌍🚨
We geocoded the #mobility of over 2 million #Erasmus students across #Europe from 2014 to 2022 with @miladmzdh Oula Inkeröinen & Olle Järv. The data descriptor article is published in #ScientificData, and is an output from the #MobiTwin project.
https://doi.org/10.1038/s41597-025-04789-0
#GIScience #Geospatial #GIS #MobiTwin #OpenData #OpenScience
I am truly honored to share that I have been appointed to the Board of Directors of the International Professional Association for #Transport & #Health.
It is both a privilege to contribute to this incredible community at the intersection of transport and #public_health.
Enough is enough!
The #funding policies for early career #researchers are unfair, especially for those starting out.
The Marie Curie #Postdoctoral #Fellowship, mandates mobility by excluding researchers who can't move due to family or other ties.
Mobility should be encouraged, not enforced.
I’ve started a #petition to address this issue.
Please read, sign, and share it!
Together, we can create a fairer #academic landscape!
Enough is enough!
The #funding policies for early career #researchers are unfair, especially for those starting out.
The Marie Curie #Postdoctoral #Fellowship, mandates mobility by excluding researchers who can't move due to family or other ties.
Mobility should be encouraged, not enforced.
I’ve started a #petition to address this issue.
Please read, sign, and share it!
Together, we can create a fairer #academic landscape!
Hi everyone! FINALLY, I’m happy to join Mastodon!
I’m a #Postdoc at the University of Helsinki, working on #UrbanPlanning, #Transportation, #HumanMobility, and #AI.
Excited to connect, explore your work, and share mine!
Let’s talk #Science, #BigData, #SmartCities, #Sustainability, and more.
Hi everyone! FINALLY, I’m happy to join Mastodon!
I’m a #Postdoc at the University of Helsinki, working on #UrbanPlanning, #Transportation, #HumanMobility, and #AI.
Excited to connect, explore your work, and share mine!
Let’s talk #Science, #BigData, #SmartCities, #Sustainability, and more.
@miladmzdh Welcome! Looking forward to see your takes on #MobilityDataScience and #MovementDataAnalytics
#GISChat also talks about cities and mobility from time to time
@miladmzdh @underdarkGIS Holy crap, how did I miss this package.
Best two follows of the year right here!
@miladmzdh Welcome!
The more science, the better. :)
Welcome
yo @miladmzdh, as an artist guy and new myself, i warmly welcome you here with new personality, new ideal, and new member of this app. ❤️. i hope your experience here is going to be one best and good one ever you had.
looking forward for your contributes. ❤️
Hienoa. Mukava kun olet mukana
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