Policy measures

Policy measures data

Measures are policy actions, infrastructure changes, service rollouts, or regulatory shifts implemented by cities to impact how people move through urban spaces. Each measure reported falls under one of two strategic categories: push and pull measures.

TypePolicy measureImplemented by
PUSHCongestion charges
3 cities
PUSHLimited traffic zone/Pedestrianisation of streets
6 cities
PUSHNew policy measure for NSM and PT
PUSHParking charges
7 cities
PUSHParking supply management
2 cities
PUSHRestricted parking
7 cities
PUSHSpeed limits
3 cities
PULLCentral PT planning and construction program
4 cities
PULLDedicated parking spaces for carsharing/micromobility
3 cities
PULLDynamic pricing of NSM
3 cities
PULLImproved information about the availability of shared modes
4 cities
PULLImproved NSM infrastructure, e.g. bike lanes & "park & ride"
8 cities
PULLIntroduction of new NSM services
5 cities
PULLIntroduction of new PT infrastructures/lines
5 cities
PULLMobility hubs
7 cities
PULLNudging (gamification or rewards)
2 cities
PULLOn demand vehicle sharing action plan
4 cities
PULLScheduling integration in MaaS services
7 cities
PULLStreets retrofitting/introduction of priority lanes
4 cities
PULLTicketing integration in MaaS services
7 cities
PULLWidening PT geographical area
2 cities

Insights from reported policy measures

Main data driven cross-city patterns from the platform's analytical tools. Insights from Ridge regression Impact analysis and MCDA decision tool.

How to read this page

Everything below is produced by the analysis tools on this platform, from data submitted by SUM Living Labs and from expert surveys carried out within the project. It reflects patterns across cities, it does not include local indicators, local context, or the local knowledge each city holds about why something worked.

These results are a starting point for a conversation, not a recommendation for any individual city. Each section links to the full interactive analysis, where you can change the stakeholder perspective and see every ranking. For the methodology, its assumptions and its documented limitations, see the project's official deliverables in the SUM resources library.

Data driven policy measure ranking

Estimation of how the policy measures contributed to the KPIs performance across cities, provided by ridge regression analysis (cities, policy measures and KPIs before vs after values).

#Policy measureImplemented byData analysis ranking results
1Scheduling integration in MaaS services7 cities
2Streets retrofitting/introduction of priority lanes4 cities
3Improved information about the availability of shared modes4 cities
4Mobility hubs7 cities
5Speed limits3 cities
6Congestion charges3 cities
7Central PT planning and construction program4 cities
8Parking charges7 cities
9Restricted parking7 cities
10Dedicated parking spaces for carsharing/micromobility3 cities
11Introduction of new PT infrastructures/lines5 cities
12Limited traffic zone/Pedestrianisation of streets6 cities
13Nudging (gamification or rewards)2 cities
14Introduction of new NSM services5 cities
15Parking supply management2 cities
16Dynamic pricing of NSM3 cities
17Widening PT geographical area2 cities
18Ticketing integration in MaaS services7 cities
19Improved NSM infrastructure, e.g. bike lanes & "park & ride"8 cities
20On demand vehicle sharing action plan4 cities
21

Business Activities stakeholder ranking

Main insights from MCDA analysis about Business activities rated by the people who operate, regulate and deliver mobility in the SUM Living Labs.

#Business activityRanked by regulatory authoritiesView full analysisRanked by public transport operatorsView full analysisRanked by new shared mobility providersView full analysis
1Electric and Low-Emission Infrastructure Expansion
2PT Scheduling and Frequency Optimization
3Public Engagement and Awareness Initiatives
4NSM Integration into Mobility Ecosystem
5Active Mobility Promotion
6Integrated Mobility Service Platform (MaaS)
7Mobility Hub Development
8Demand-Responsive and On-Demand Mobility
9Incentive-Based Programs
10Enhanced Data Collection and Analysis