Guidelines for public and private policies

The SIAMUS project (Integrated System for the Analysis of Sustainable Urban Mobility) aims to provide data and indicators for sustainable urban mobility based on the experience of Pin Bike, the patented system for the certification and gamification of sustainable mobility. This deliverable D.1 contains guidelines for regulators and private stakeholders to guide public and private investment in sustainable urban mobility. The aim of SIAMUS is to provide data-based scientific evidence to guide policy makers and public, school and corporate mobility managers in their choices of action and investment in sustainable urban mobility. These recommendations are structured in such a way as to be directly applicable by policy makers, urban planners and private stakeholders involved in the process of improving urban mobility. The aim is to optimise the allocation of resources and make effective use of available technologies to increase the effectiveness of mobility policies and promote active and sustainable modal transition. SIAMUS was funded by the Italian National Plan for Recovery and Resilience. Bando a Cascata (CODBAN_00123), CUP H93C22000650001, Spoke 7 (Mobilità Urbana Sostenibile), nell’ambito del PNRR MUR – M4C2 – Inv.1.3 – Avviso “Avviso “DALLA RICERCA ALL’IMPRESA” – D.D. n. 1024 del 08/05/2024 - Prog. CN/PE00000018 “Sistema Integrato di Analisi della Mobilità Urbana Sostenibile (SIAMUS)”.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-20
DOI
https://doi.org/10.5281/zenodo.16911544
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Guidelines for public and private policies

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Guidelines for public and private policies

article en

Abstract

The SIAMUS project (Integrated System for the Analysis of Sustainable Urban Mobility) aims to provide data and indicators for sustainable urban mobility based on the experience of Pin Bike, the patented system for the certification and gamification of sustainable mobility. This deliverable D.1 contains guidelines for regulators and private stakeholders to guide public and private investment in sustainable urban mobility. The aim of SIAMUS is to provide data-based scientific evidence to guide policy makers and public, school and corporate mobility managers in their choices of action and investment in sustainable urban mobility. These recommendations are structured in such a way as to be directly applicable by policy makers, urban planners and private stakeholders involved in the process of improving urban mobility. The aim is to optimise the allocation of resources and make effective use of available technologies to increase the effectiveness of mobility policies and promote active and sustainable modal transition. SIAMUS was funded by the Italian National Plan for Recovery and Resilience. Bando a Cascata (CODBAN_00123), CUP H93C22000650001, Spoke 7 (Mobilità Urbana Sostenibile), nell’ambito del PNRR MUR – M4C2 – Inv.1.3 – Avviso “Avviso “DALLA RICERCA ALL’IMPRESA” – D.D. n. 1024 del 08/05/2024 - Prog. CN/PE00000018 “Sistema Integrato di Analisi della Mobilità Urbana Sostenibile (SIAMUS)”.

Zenodo (CERN European Organization for Nuclear Research)
Innovation Research Center (US), Polytechnic University of Bari (IT)
Sustainable cities and communities
Openalex Percentile: Top 67%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.