From 5e3d012aa424a55540121289a88b60c0fffa4d70 Mon Sep 17 00:00:00 2001 From: Filip Biljecki Date: Sat, 11 May 2024 19:14:40 +0800 Subject: [PATCH] Two new papers --- .../1.png | Bin .../featured.png | Bin .../index.md | 0 .../page-one.png | Bin content/post/2024-05-pt-g2viz/1.png | Bin 0 -> 558545 bytes content/post/2024-05-pt-g2viz/featured.png | Bin 0 -> 131159 bytes content/post/2024-05-pt-g2viz/index.md | 63 ++++++++++++++ content/post/2024-05-pt-g2viz/page-one.png | Bin 0 -> 256257 bytes .../2024-05-tfsc-dt-maturity/featured.png | Bin 0 -> 538661 bytes .../post/2024-05-tfsc-dt-maturity/index.md | 71 ++++++++++++++++ .../2024-05-tfsc-dt-maturity/page-one.png | Bin 0 -> 335421 bytes .../2024-pt-g-2-viz/2024-pt-g-2-viz.bib | 7 ++ .../2024-pt-g-2-viz/2024-pt-g-2-viz.pdf | Bin 0 -> 4743846 bytes content/publication/2024-pt-g-2-viz/cite.bib | 7 ++ .../publication/2024-pt-g-2-viz/featured.png | Bin 0 -> 131159 bytes content/publication/2024-pt-g-2-viz/index.md | 78 ++++++++++++++++++ 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+pager: true + +# Featured image +# To use, add an image named `featured.jpg/png` to your page's folder. +# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. +image: + caption: "" + focal_point: "" + preview_only: false + +# Projects (optional). +# Associate this post with one or more of your projects. +# Simply enter your project's folder or file name without extension. +# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. +# Otherwise, set `projects = []`. + +--- + +We are glad to share a new collaborative paper: + +> Para S, Wirotsasithon T, Jundee T, Demissie MG, Sekimoto Y, Biljecki F, Phithakkitnukoon S (2024): G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data. _Public Transport_. [ 10.1007/s12469-024-00362-x](https://doi.org/10.1007/s12469-024-00362-x) [ PDF](/publication/2024-pt-g-2-viz/2024-pt-g-2-viz.pdf) + +This research was led by the group of [Santi Phithakkitnukoon](https://cpemis.eng.cmu.ac.th/~santi/) from Chiang Mai University. + +The paper is [available freely](https://rdcu.be/dHocM). + +G2Viz can be accessed [here](https://g2viz.citycontext.info). + +![](1.png) + +### Abstract + +> Public transit agencies have amassed substantial data through on-board and off-board sensors over the years. While data collection was the primary focus, there is now a shift towards deriving actionable insights from this wealth of information. As data-driven decision making becomes increasingly vital, there is a growing need for effective ways to visualize and convey complex insights to decision makers. This study addresses this need by introducing G2Viz, a visualizer for public transit operations. The development process of G2Viz spans requirement gathering, planning, and design, encompassing software architecture, data models, user interfaces, and system components. Rigorous implementation and testing ensure the tool’s functionality and effectiveness. G2Viz, designed to dynamically visualize public transit operations using General Transit Feed Specification (GTFS) data, is a web application accessible globally via any web browser. Its open-source nature, robustness, and versatility facilitate communication among transit agencies, users, researchers, and city authorities. G2Viz empowers transit planners to make well-informed decisions about public transportation. (Access G2Viz at https://g2viz.citycontext.info). + +### Paper + +For more information, please see the [paper](/publication/2024-pt-g-2-viz/). + +[![](page-one.png)](/publication/2024-pt-g-2-viz/) + +BibTeX citation: +```bibtex +@article{2024_pt_g2viz, + author = {Para, Sirapop and Wirotsasithon, Thanachok and Jundee, Thanisorn and Demissie, Merkebe Getachew and Sekimoto, Yoshihide and Biljecki, Filip and Phithakkitnukoon, Santi}, + doi = {10.1007/s12469-024-00362-x}, + journal = {Public Transport}, + title = {G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data}, + year = {2024} +} +``` diff --git a/content/post/2024-05-pt-g2viz/page-one.png b/content/post/2024-05-pt-g2viz/page-one.png new file mode 100644 index 0000000000000000000000000000000000000000..fd0279abdf90800146b9a95765957983c3a3d0fe GIT binary patch literal 256257 zcmdSBWmr{P_dZMsn=S>U8$r6eQz_~0?gr`Zk`4)_yI~X39nv7(Eg;hUU!33ZIeMPw z!~6C1y0&ZYwbq<-tr=t7Wq-0s|R1pE(?rCa3; 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[ 10.1016/j.techfore.2024.123409](https://doi.org/10.1016/j.techfore.2024.123409) [ PDF](/publication/2024-tfsc-dt-maturity/2024-tfsc-dt-maturity.pdf) + +This research was led by Masahiko Haraguchi from Harvard University. + +The paper is [available freely](https://authors.elsevier.com/c/1j2nl98SG~VS3) until 2024-06-26. + +### Highlights + ++ Our maturity model assesses the different development stages of city digital twins. ++ We identify opportunities and impediments to better governance. ++ City digital twin technologies can enhance public participation in urban planning. ++ The technologies can resolve smart cities' long-standing challenges. ++ Challenges remain, including interoperability, participation, and inclusivity concerns. + + +### Abstract + +> Digital twin technology has great potential to transform urban planning. However, the governance aspects of city-scale digital twins (CDTs)— a virtual representation of urban environments —are understudied. This study bridges this knowledge gap by adopting a framework that scrutinizes the maturity stages of technology. We introduce the CITYSTEPS Maturity Model, a pioneering maturity framework tailored for CDTs, to assess all development stages of CDTs, including those utilizing artificial intelligence, and analyze the technology's role in urban governance. We highlight the promise of CDTs in enhancing public participation in urban planning and addressing key smart city concerns, such as accountability and transparency. However, significant challenges remain, including public participation, public trust in privacy protection, and technical impediments like inadequate data integration, systems integration, and interoperability. There's also the pressing issue of social inclusion: the potential exclusion of marginalized groups, including those often overlooked in data collection, like the hidden homeless and informal sector workers. We propose CDTs should be designed with a human-centric approach, transparent and unbiased data collection and algorithm development, and be led by an adaptive regulatory framework. The CITYSTEPS Maturity Model lays out a framework to assess CDTs' present state, forecast their future, and understand their governance implications, promoting more inclusive technology adoption. + +### Paper + +For more information, please see the [paper](/publication/2024-tfsc-dt-maturity/). + +[![](page-one.png)](/publication/2024-tfsc-dt-maturity/) + +BibTeX citation: +```bibtex +@article{2024_tfsc_dt_maturity, + author = {Haraguchi, Masahiko and Funahashi, Tomomi and Biljecki, Filip}, + doi = {10.1016/j.techfore.2024.123409}, + journal = {Technological Forecasting and Social Change}, + pages = {123409}, + title = {Assessing governance implications of city digital twin technology: A maturity model approach}, + volume = {204}, + year = {2024} +} + +``` diff --git a/content/post/2024-05-tfsc-dt-maturity/page-one.png b/content/post/2024-05-tfsc-dt-maturity/page-one.png new file mode 100644 index 0000000000000000000000000000000000000000..986a7b131ad42d16d5a79a59a155c722a5b2449d GIT 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