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content/post/2025-01-03-2024-retrospective/index.Rmd

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- Setting-up a grant funding agreement between Active Travel England and the Alan Turing Institute (see details at [turing.ac.uk](https://www.turing.ac.uk/news/alan-turing-institute-brings-data-expertise-nationwide-walking-and-cycling-schemes) and [Forbes](https://www.forbes.com/sites/carltonreid/2023/04/04/active-travel-england-partners-with-alan-turing-institute-to-leverage-data-into-investment/)) enabling the development of new digital tools for more effective transport planning, including [planning](https://plan.activetravelengland.gov.uk) (see below) and '[inspectorate](https://acteng.github.io/inspectorate_tools/)' tools, supplementing the spreadsheet-based [Active Travel England design assistance tools](https://www.gov.uk/government/publications/active-travel-england-design-assistance-tools).
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<!-- (Incidentally, this was the first submission that ATE sent to then new government led by Rishi Sunak after the tumultuous and short-lived Liz Truss premiership.) -->
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- Instigating the 'ATIP' project hosted at [plan.activetravelengland.gov.uk](https://plan.activetravelengland.gov.uk) (see open source code at [github.com/acteng/atip](https://github.com/acteng/atip))
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- The [SchoolRoutes](https://acteng.github.io/netgen/articles/schoolroutes.html) project, which builds on [`od2net`](https://od2net.org) and the [Propensity to Cycle Tool](https://www.pct.bike) to help local authorities identify and prioritise school routes for investment in active travel infrastructure..
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- The [SchoolRoutes](https://acteng.github.io/netgen/articles/schoolroutes.html) project, which builds on [`od2net`](https://od2net.org) and the [Propensity to Cycle Tool](https://www.pct.bike) to help local authorities identify and prioritise school routes for investment in active travel infrastructure.
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<!-- # Academic exploits
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# Academic exploits
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# My year in open source
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In 2024 I continued to work on a range of academic projects, with the focus being on the Network Planning Tool for Scotland ([NPT](https://www.npt.scot/)), the new BICISCHOOLS project with colleagues at the University of Lisbon, and various ongoing research projects and collaborations.
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Highlights included:
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- [x] Completion of two books on geographic data analysis with free and open-source programming languages for reproducible research, both of which are now with the publishers, CRC Press, are available for pre-order and will be published in 2025.
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- [x] Geocomputation with R (second edition), a major update of the first edition, which was published in 2019.
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- Geocomputation with Python, a new book that builds on the success of the R book and applies the same principles to the Python programming language.
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- [x] Attending and delivering a keynote at the [Mobile Tartu conference](https://www.robinlovelace.net/post/tartu2024/).
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- The internationalisation and extension of methods developed for the Propensity to Cycle Tool project, including:
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- Publishing our work on the the Cycle Route Uptake and Scenario Estimation (CRUSE) project in an academic [paper](https://www.robinlovelace.net/publication/lovelace-cycle-2024/) (see [cruse.bike](https://cruse.bike/) for an interactive web app resulting from the research)
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- Completion of the [Biclar](https://www.tmlmobilidade.pt/comunicacao/noticias/biclar-tml-chama-municipios-a-debater-rumo-a-um-futuro-ciclavel/) [web application](https://u-shift.github.io/biclarwww/) and paper, published in Computers, Environment and Urban Systems ([CEUS](https://www.sciencedirect.com/science/article/pii/S0198971522000731)) describing the underlying methods.
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- Participating in the Spatial Data Science across Languages ([SDSL](https://spatial-data-science.github.io/2024/)) conference, which was held in-person in Prague in September 2024.
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# Travels and conferences
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<!--
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# My year in open source
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# Community projects
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content/post/2025-01-03-2024-retrospective/index.md

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- Setting-up a grant funding agreement between Active Travel England and the Alan Turing Institute (see details at [turing.ac.uk](https://www.turing.ac.uk/news/alan-turing-institute-brings-data-expertise-nationwide-walking-and-cycling-schemes) and [Forbes](https://www.forbes.com/sites/carltonreid/2023/04/04/active-travel-england-partners-with-alan-turing-institute-to-leverage-data-into-investment/)) enabling the development of new digital tools for more effective transport planning, including [planning](https://plan.activetravelengland.gov.uk) (see below) and '[inspectorate](https://acteng.github.io/inspectorate_tools/)' tools, supplementing the spreadsheet-based [Active Travel England design assistance tools](https://www.gov.uk/government/publications/active-travel-england-design-assistance-tools).
5858
<!-- (Incidentally, this was the first submission that ATE sent to then new government led by Rishi Sunak after the tumultuous and short-lived Liz Truss premiership.) -->
5959
- Instigating the 'ATIP' project hosted at [plan.activetravelengland.gov.uk](https://plan.activetravelengland.gov.uk) (see open source code at [github.com/acteng/atip](https://github.com/acteng/atip))
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- The [SchoolRoutes](https://acteng.github.io/netgen/articles/schoolroutes.html) project, which builds on [`od2net`](https://od2net.org) and the [Propensity to Cycle Tool](https://www.pct.bike) to help local authorities identify and prioritise school routes for investment in active travel infrastructure..
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- The [SchoolRoutes](https://acteng.github.io/netgen/articles/schoolroutes.html) project, which builds on [`od2net`](https://od2net.org) and the [Propensity to Cycle Tool](https://www.pct.bike) to help local authorities identify and prioritise school routes for investment in active travel infrastructure.
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<!-- # Academic exploits
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# Academic exploits
6363

64-
# My year in open source
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In 2024 I continued to work on a range of academic projects, with the focus being on the Network Planning Tool for Scotland ([NPT](https://www.npt.scot/)), the new BICISCHOOLS project with colleagues at the University of Lisbon, and various ongoing research projects and collaborations.
65+
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Highlights included:
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- [x] Completion of two books on geographic data analysis with free and open-source programming languages for reproducible research, both of which are now with the publishers, CRC Press, are available for pre-order and will be published in 2025.
69+
- [x] Geocomputation with R (second edition), a major update of the first edition, which was published in 2019.
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- Geocomputation with Python, a new book that builds on the success of the R book and applies the same principles to the Python programming language.
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- [x] Attending and delivering a keynote at the [Mobile Tartu conference](https://www.robinlovelace.net/post/tartu2024/).
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- The internationalisation and extension of methods developed for the Propensity to Cycle Tool project, including:
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- Publishing our work on the the Cycle Route Uptake and Scenario Estimation (CRUSE) project in an academic [paper](https://www.robinlovelace.net/publication/lovelace-cycle-2024/) (see [cruse.bike](https://cruse.bike/) for an interactive web app resulting from the research)
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- Completion of the [Biclar](https://www.tmlmobilidade.pt/comunicacao/noticias/biclar-tml-chama-municipios-a-debater-rumo-a-um-futuro-ciclavel/) [web application](https://u-shift.github.io/biclarwww/) and paper, published in Computers, Environment and Urban Systems ([CEUS](https://www.sciencedirect.com/science/article/pii/S0198971522000731)) describing the underlying methods.
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- Participating in the Spatial Data Science across Languages ([SDSL](https://spatial-data-science.github.io/2024/)) conference, which was held in-person in Prague in September 2024.
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# Travels and conferences
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<!--
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# My year in open source
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# Community projects
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content/post/2025-01-03-2024-retrospective/index.qmd

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Highlights included:
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- Completion of two books about Geocomputation, Geocomputation with R (second edition) and Geocomputation with Python, both of which are now with the publishers, CRC Press, are available for pre-order and will be published in 2025.
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- Attending and delivering a keynote at the [Mobile Tartu conference](https://www.robinlovelace.net/post/tartu2024/).
70-
- Finally publishing our work on the the Cycle Route Uptake and Scenario Estimation (CRUSE) project in an academic paper (see [cruse.bike](https://cruse.bike/) for an interactive web app resulting from the research)
71-
- The internationalisation and extension of methods developed for the Propensity to Cycle Tool project.
68+
- [x] Completion of two books on geographic data analysis with free and open-source programming languages for reproducible research, both of which are now with the publishers, CRC Press, are available for pre-order and will be published in 2025.
69+
- [x] Geocomputation with R (second edition), a major update of the first edition, which was published in 2019.
70+
- [x] Geocomputation with Python, a new book that builds on the success of the R book and applies the same principles to the Python programming language.
71+
- [x] Delivering a keynote at the [Mobile Tartu conference](https://www.robinlovelace.net/post/tartu2024/), and participating in the summer school that preceded it, leading to a new R package (see below).
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- [x] Instigating and co-authoring the new [`spanishoddata`](https://github.com/ropenspain/spanishoddata) R package, which enables reproducible scientific research and discovery in mobility and other fields based on the world's first open access and high-resolution national origin-destination dataset (thanks to the Spanish government for making this data open access and for Egor Kotov who led the development of the package after we met at the Mobile Tartu conference).
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- [x] The internationalisation and extension of methods developed for the Propensity to Cycle Tool project, including:
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- Publishing our work on the the Cycle Route Uptake and Scenario Estimation (CRUSE) project in an academic [paper](https://www.robinlovelace.net/publication/lovelace-cycle-2024/) (see [cruse.bike](https://cruse.bike/) for an interactive web app resulting from the research)
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- [x] Completion of the [Biclar](https://www.tmlmobilidade.pt/comunicacao/noticias/biclar-tml-chama-municipios-a-debater-rumo-a-um-futuro-ciclavel/) [web application](https://u-shift.github.io/biclarwww/) and paper, published in Computers, Environment and Urban Systems ([CEUS](https://www.sciencedirect.com/science/article/pii/S0198971522000731)) describing the underlying methods.
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- [x] Participating in the Spatial Data Science across Languages ([SDSL](https://spatial-data-science.github.io/2024/)) conference, which was held in-person in Prague in September 2024.
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<!--
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@article{biderman_innovation_2023,
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author = {Biderman, Ciro and Mello, Patrícia Alencar Silva and Coordinators, Area and Acosta, Claudia and Giannotti, Mariana and Levy, Mariana and Ramos, Frederico Roman and Freiberg, German and Lovelace, Robin and Machado, Hannah},
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date = {2023},
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file = {/home/robin/Zotero/storage/3LYM9D5J/Biderman et al. - 2023 - Innovation Center in Urban Public Policies–FGV Cid.pdf},
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title = {Innovation Center in Urban Public Policies–FGV Cidades},
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url = {https://documents1.worldbank.org/curated/en/099050223201017669/pdf/P1734140dc76b105509b6f074cc8fe0f3a1.pdf},
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urldate = {2024-10-02}
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}
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---
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# Documentation: https://wowchemy.com/docs/managing-content/
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title: Innovation Center in Urban Public Policies–FGV Cidades
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subtitle: ''
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summary: ''
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authors:
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- Ciro Biderman
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- Patrícia Alencar Silva Mello
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- Area Coordinators
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- Claudia Acosta
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- Mariana Giannotti
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- Mariana Levy
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- Frederico Roman Ramos
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- German Freiberg
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- Robin Lovelace
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- Hannah Machado
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tags: []
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categories: []
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date: '2023-01-01'
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lastmod: 2025-01-05T10:53:30Z
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featured: false
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draft: false
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# Featured image
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# To use, add an image named `featured.jpg/png` to your page's folder.
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# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
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image:
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caption: ''
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focal_point: ''
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preview_only: false
32+
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# Projects (optional).
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# Associate this post with one or more of your projects.
35+
# Simply enter your project's folder or file name without extension.
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# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
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# Otherwise, set `projects = []`.
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projects: []
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publishDate: '2025-01-05T10:53:29.999565Z'
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publication_types:
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- '2'
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abstract: ''
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publication: ''
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url_pdf: https://documents1.worldbank.org/curated/en/099050223201017669/pdf/P1734140dc76b105509b6f074cc8fe0f3a1.pdf
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---
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@article{felix_reproducible_2025,
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abstract = {A high proportion of car trips can be replaced by a combination of public transit and cycling for the first-and-last mile. This paper estimates the potential for cycling combined with public transit as a substitute for car trips in the Lisbon metropolitan area and assesses its socio-environmental impacts using open data and open source tools. A decision support tool that facilitates the design and development of a metropolitan cycling network was developed (biclaR). The social and environmental impacts were assessed using Health World Organization tools. The impacts of shifting car trips to public transport were also estimated and monetized. The results show that 10~% of all trips could be made by cycling in combination with public transport. Shifting to cycling for the shorter first and last mile stages can reduce annual CO2eq emissions from 3000 to 7500 tons/day, while for the public transport leg, the transfer from car avoids of up to 20,500 tons of CO2eq emissions per year. The estimated socio-environmental benefits are of €125 million to €325 million over 10~years. This evidence can support policymakers to prioritize interventions that reduce the reliance on private motor vehicles.},
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annotation = {0 citations (Crossref) [2024-12-13]},
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author = {Félix, Rosa and Moura, Filipe and Lovelace, Robin},
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date = {2025-04-01},
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doi = {10.1016/j.compenvurbsys.2024.102230},
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file = {/home/robin/Zotero/storage/H8SRRRPU/S0198971524001595.html},
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issn = {0198-9715},
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journaltitle = {Computers, Environment and Urban Systems},
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keywords = {Active transport,Environmental impacts,First and last mile,Health economic assessment,Intermodality,Open data and methods},
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pages = {102230},
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shortjournal = {Computers, Environment and Urban Systems},
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shorttitle = {Reproducible Methods for Modeling Combined Public Transport and Cycling Trips and Associated Benefits},
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title = {Reproducible Methods for Modeling Combined Public Transport and Cycling Trips and Associated Benefits: Evidence from the biclaR Tool},
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url = {https://www.sciencedirect.com/science/article/pii/S0198971524001595},
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urldate = {2024-12-12},
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volume = {117}
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}
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---
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# Documentation: https://wowchemy.com/docs/managing-content/
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title: 'Reproducible Methods for Modeling Combined Public Transport and Cycling Trips
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and Associated Benefits: Evidence from the biclaR Tool'
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subtitle: ''
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summary: ''
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authors:
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- Rosa Félix
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- Filipe Moura
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- Robin Lovelace
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tags:
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- Active transport
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- Environmental impacts
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- First and last mile
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- Health economic assessment
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- Intermodality
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- Open data and methods
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categories: []
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date: '2025-04-01'
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lastmod: 2025-01-05T10:53:30Z
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featured: false
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draft: false
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# Featured image
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# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
28+
image:
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caption: ''
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focal_point: ''
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preview_only: false
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33+
# Projects (optional).
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# Associate this post with one or more of your projects.
35+
# Simply enter your project's folder or file name without extension.
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# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
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# Otherwise, set `projects = []`.
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projects: []
39+
publishDate: '2025-01-05T10:53:30.147825Z'
40+
publication_types:
41+
- '2'
42+
abstract: A high proportion of car trips can be replaced by a combination of public
43+
transit and cycling for the first-and-last mile. This paper estimates the potential
44+
for cycling combined with public transit as a substitute for car trips in the Lisbon
45+
metropolitan area and assesses its socio-environmental impacts using open data and
46+
open source tools. A decision support tool that facilitates the design and development
47+
of a metropolitan cycling network was developed (biclaR). The social and environmental
48+
impacts were assessed using Health World Organization tools. The impacts of shifting
49+
car trips to public transport were also estimated and monetized. The results show
50+
that 10~% of all trips could be made by cycling in combination with public transport.
51+
Shifting to cycling for the shorter first and last mile stages can reduce annual
52+
CO2eq emissions from 3000 to 7500 tons/day, while for the public transport leg,
53+
the transfer from car avoids of up to 20,500 tons of CO2eq emissions per year. The
54+
estimated socio-environmental benefits are of €125 million to €325 million over
55+
10~years. This evidence can support policymakers to prioritize interventions that
56+
reduce the reliance on private motor vehicles.
57+
publication: ''
58+
doi: 10.1016/j.compenvurbsys.2024.102230
59+
links:
60+
- name: URL
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url: https://www.sciencedirect.com/science/article/pii/S0198971524001595
62+
---

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