README.md

This repository provides sample maps created for sustainable mobility

Source of the sample map-based applications

ID	Published year	Link
R1	2021	https://futuretransport-news.com/voi-launches-impact-dashboard-for-moresustainable-transport-choices/
R2	2022	https://trafficinfratech.com/ritm3-effective-solution-for-sustainable-traffic-management/
R3	2022	https://staex.io/smart-city-staex-regioit
R4	2022	https://www.paircity.com/home
R5	2019	https://www.geodan.com/knowledge-and-innovation/managing-urban-processesintelligently-with-the-amsterdam-smart-city-dashboard/
R6	2018	https://www.greenappsandweb.com/en/android-en/rewarding-sustainable-mobilitysolutions/
R7	2021	https://unhabitat.org/sites/default/files/2021/08/sump-guidelineseng.pdf
R8	2020	https://kidsgogreen.eu/en/
R9	2023	https://datatopics.worldbank.org/sdgatlas/goal-9-industryinnovation-and-infrastructure/?lang=en
R10	2020	https://www.edinburgh.gov.uk/downloads/file/29320/city-mobility-plan-2021-2030
R11	2021	https://plan4better.de/en/tutorials/isochrone/
R12	2022	https://www.eiturbanmobility.eu/wpcontent/uploads/2022/11/EIT-UrbanMobilityNext915−min−City144dpi.pdf
R13	2023	https://www.nature.com/articles/s41598-023-32326-9
R14	2022	https://mobilitylab.hel.fi/app/uploads/2022/09/Digital-Twin-for-Mobilty.-Working-paper-version-9-September-2022.pdf
R15	2020	https://xyzt.ai/2020/12/01/become-a-traffic-data-rockstar/
R16	2022	https://www.argaleo.com/en/oplossingen/fietsbeleid/

Image analysis

The codes are provided to calculate image complexity in terms of mean, standard deviation, skewness, entropy, magnitude slope, and fractal dimension.