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Two new papers
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fbiljecki authored May 11, 2024
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63 changes: 63 additions & 0 deletions content/post/2024-05-pt-g2viz/index.md
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---
# Documentation: https://sourcethemes.com/academic/docs/managing-content/
title: "New paper: G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data"
subtitle: "Public Transport publishes our collaborative paper that presents a powerful platform designed for visualizing and analyzing GTFS data."
summary: "Public Transport publishes our collaborative paper that presents a powerful platform designed for visualizing and analyzing GTFS data."
authors: [admin]
tags: [paper, g2viz, gtfs]
categories: []
date: 2024-05-09T10:23:16+08:00
lastmod: 2024-05-09T10:23:16+08:00
featured: false
draft: false
show_related: true
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_. [<i class="ai ai-doi-square ai"></i> 10.1007/s12469-024-00362-x](https://doi.org/10.1007/s12469-024-00362-x) [<i class="far fa-file-pdf"></i> PDF](/publication/2024-pt-g-2-viz/2024-pt-g-2-viz.pdf)</i>
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}
}
```
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71 changes: 71 additions & 0 deletions content/post/2024-05-tfsc-dt-maturity/index.md
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---
# Documentation: https://sourcethemes.com/academic/docs/managing-content/
title: "New paper: Assessing governance implications of city digital twin technology: A maturity model approach"
subtitle: "Technological Forecasting and Social Change publishes our collaborative paper that presents a classification of urban digital twins with respect to their technological maturity."
summary: "Technological Forecasting and Social Change publishes our collaborative paper that presents a classification of urban digital twins with respect to their technological maturity."
authors: [admin]
tags: [paper, digital twins, maturity, citysteps]
categories: []
date: 2024-05-07T10:23:16+08:00
lastmod: 2024-05-07T10:23:16+08:00
featured: false
draft: false
show_related: true
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:

> Haraguchi M, Funahashi T, Biljecki F (2024): Assessing governance implications of city digital twin technology: A maturity model approach. _Technological Forecasting and Social Change_ 204: 123409. [<i class="ai ai-doi-square ai"></i> 10.1016/j.techfore.2024.123409](https://doi.org/10.1016/j.techfore.2024.123409) [<i class="far fa-file-pdf"></i> PDF](/publication/2024-tfsc-dt-maturity/2024-tfsc-dt-maturity.pdf)</i>
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}
}
```
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7 changes: 7 additions & 0 deletions content/publication/2024-pt-g-2-viz/2024-pt-g-2-viz.bib
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@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}
}
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7 changes: 7 additions & 0 deletions content/publication/2024-pt-g-2-viz/cite.bib
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@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}
}
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78 changes: 78 additions & 0 deletions content/publication/2024-pt-g-2-viz/index.md
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---
title: 'G2Viz: an online tool for visualizing and analyzing a public transit system
from GTFS data'

# Authors
# A YAML list of author names
# If you created a profile for a user (e.g. the default `admin` user at `content/authors/admin/`),
# write the username (folder name) here, and it will be replaced with their full name and linked to their profile.
authors:
- Sirapop Para
- Thanachok Wirotsasithon
- Thanisorn Jundee
- Merkebe Getachew Demissie
- Yoshihide Sekimoto
- filip
- Santi Phithakkitnukoon

# Author notes (such as 'Equal Contribution')
# A YAML list of notes for each author in the above `authors` list
author_notes: []

date: '2024-05-08'

# Date to publish webpage (NOT necessarily Bibtex publication's date).
publishDate: '2024-05-11T10:29:57.990024Z'

# Publication type.
# A single CSL publication type but formatted as a YAML list (for Hugo requirements).
publication_types:
- article-journal

# Publication name and optional abbreviated publication name.
publication: '*Public Transport*'
publication_short: ''

doi: 10.1007/s12469-024-00362-x

abstract: ''

# Summary. An optional shortened abstract.
summary: ''

tags: []

# Display this page in a list of Featured pages?
featured: false

# Links
url_pdf: ''
url_code: ''
url_dataset: ''
url_poster: ''
url_project: 'https://g2viz.citycontext.info'
url_slides: ''
url_source: ''
url_video: ''

# Custom links (uncomment lines below)
# links:
# - name: Custom Link
# url: http://example.org

# Publication image
# Add an image named `featured.jpg/png` to your page's folder then add a caption below.
image:
caption: ''
focal_point: ''
preview_only: false

# Associated Projects (optional).
# Associate this publication with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects: ['internal-project']` links to `content/project/internal-project/index.md`.
# Otherwise, set `projects: []`.
projects: []
---

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).
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@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}
}
Binary file not shown.
9 changes: 9 additions & 0 deletions content/publication/2024-tfsc-dt-maturity/cite.bib
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@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}
}
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74 changes: 74 additions & 0 deletions content/publication/2024-tfsc-dt-maturity/index.md
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---
title: 'Assessing governance implications of city digital twin technology: A maturity
model approach'

# Authors
# A YAML list of author names
# If you created a profile for a user (e.g. the default `admin` user at `content/authors/admin/`),
# write the username (folder name) here, and it will be replaced with their full name and linked to their profile.
authors:
- Masahiko Haraguchi
- Tomomi Funahashi
- filip

# Author notes (such as 'Equal Contribution')
# A YAML list of notes for each author in the above `authors` list
author_notes: []

date: '2024-05-07'

# Date to publish webpage (NOT necessarily Bibtex publication's date).
publishDate: '2024-05-11T10:29:57.983862Z'

# Publication type.
# A single CSL publication type but formatted as a YAML list (for Hugo requirements).
publication_types:
- article-journal

# Publication name and optional abbreviated publication name.
publication: '*Technological Forecasting and Social Change*'
publication_short: ''

doi: 10.1016/j.techfore.2024.123409

abstract: ''

# Summary. An optional shortened abstract.
summary: ''

tags: []

# Display this page in a list of Featured pages?
featured: false

# Links
url_pdf: ''
url_code: ''
url_dataset: ''
url_poster: ''
url_project: ''
url_slides: ''
url_source: ''
url_video: ''

# Custom links (uncomment lines below)
# links:
# - name: Custom Link
# url: http://example.org

# Publication image
# Add an image named `featured.jpg/png` to your page's folder then add a caption below.
image:
caption: ''
focal_point: ''
preview_only: false

# Associated Projects (optional).
# Associate this publication with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects: ['internal-project']` links to `content/project/internal-project/index.md`.
# Otherwise, set `projects: []`.
projects: []
---

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.
24 changes: 23 additions & 1 deletion publications.bib
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@@ -1,13 +1,35 @@
%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/
%% Created for Filip at 2024-05-11 16:53:26 +0800
%% Created for Filip at 2024-05-11 18:29:34 +0800
%% Saved with string encoding Unicode (UTF-8)
@article{2024_tfsc_dt_maturity,
author = {Haraguchi, Masahiko and Funahashi, Tomomi and Biljecki, Filip},
date-added = {2024-05-11 18:29:32 +0800},
date-modified = {2024-05-11 18:29:32 +0800},
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},
bdsk-url-1 = {https://doi.org/10.1016/j.techfore.2024.123409}}

@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},
date-added = {2024-05-11 18:29:28 +0800},
date-modified = {2024-05-11 18:29:28 +0800},
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},
bdsk-url-1 = {https://doi.org/10.1007/s12469-024-00362-x}}

@article{2024_jag_geoai_hg,
author = {Wang, Siqin and Huang, Xiao and Liu, Pengyuan and Zhang, Mengxi and Biljecki, Filip and Hu, Tao and Fu, Xiaokang and Liu, Lingbo and Liu, Xintao and Wang, Ruomei and Huang, Yuanyuan and Yan, Jingjing and Jiang, Jinghan and Chukwu, Michaelmary and Reza Naghedi, Seyed and Hemmati, Moein and Shao, Yaxiong and Jia, Nan and Xiao, Zhiyang and Tian, Tian and Hu, Yaxin and Yu, Lixiaona and Yap, Winston and Macatulad, Edgardo and Chen, Zhuo and Cui, Yunhe and Ito, Koichi and Ye, Mengbi and Fan, Zicheng and Lei, Binyu and Bao, Shuming},
date-added = {2024-05-11 16:53:26 +0800},
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