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
2 cities
PUSHLimited traffic zone/Pedestrianisation of streets
7 cities
PUSHParking charges
6 cities
PUSHParking supply management
2 cities
PUSHRestricted parking
7 cities
PUSHSpeed limits
4 cities
PULLCentral PT planning and construction program
4 cities
PULLDedicated parking spaces for carsharing/micromobility
4 cities
PULLDynamic pricing of NSM
4 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
7 cities
PULLIntroduction of new PT infrastructures/lines
4 cities
PULLMobility hubs
7 cities
PULLNudging (gamification or rewards)
2 cities
PULLOn demand vehicle sharing action plan
5 cities
PULLScheduling integration in MaaS services
5 cities
PULLStreets retrofitting/introduction of priority lanes
4 cities
PULLTicketing integration in MaaS services
6 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
1Streets retrofitting/introduction of priority lanes4 cities
2Scheduling integration in MaaS services5 cities
3Improved information about the availability of shared modes4 cities
4Central PT planning and construction program4 cities
5On demand vehicle sharing action plan5 cities
6Parking charges6 cities
7Mobility hubs7 cities
8Limited traffic zone/Pedestrianisation of streets7 cities
9Ticketing integration in MaaS services6 cities
10Restricted parking7 cities
11Dynamic pricing of NSM4 cities
12Improved NSM infrastructure, e.g. bike lanes & "park & ride"8 cities
13Parking supply management2 cities
14Introduction of new NSM services7 cities
15Widening PT geographical area2 cities
16Speed limits4 cities
17Introduction of new PT infrastructures/lines4 cities
18Dedicated parking spaces for carsharing/micromobility4 cities
19Nudging (gamification or rewards)2 cities
20
21Congestion charges2 cities

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