MétaCan
Menu
Back to cohort
Record W7106245700 · doi:10.5281/zenodo.17665207

Deliverable D2.2 Mapping the existing planning and governance practices and business frameworks

2025· article· W7106245700 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsnot available
FundersEuropean Commission
KeywordsCorporate governanceDeliverablePopulationZoningUrban planningOddsRegional planning

Abstract

fetched live from OpenAlex

In the urban outskirts of most European cities, low population density, single-use zoning and a car-centric urban environment are at odds with the 15-minute city (15mC) model, which is “based on the idea that city dwellers should be able to cover the vast majority of their daily needs within a 15-minute radius, by walking and cycling, while connecting to further districts and travelling larger distances by other forms of sustainable transport” (DUT, 2023). While this model, which has been adopted by major cities around the world, (Paris, Milan, Dublin, Valencia, Portland, Ottawa, Melbourne, etc.) is often limited to urban centres, it can to some extent be adapted to a peri-urban context. The aim of the DREAMS project is to contribute to creating accessible, sustainable, and inclusive 15mC neighbourhoods, or 15mN (Arias Molinares et al., 2024), in the urban outskirts of European cities and regions. This report describes six types of policies that can help move towards the 15mC model in urban outskirts: car-sharing, shared micromobility, carpooling, demand-responsive services, flexible (pop-up) activity hubs and mobility hubs. Based on a comparative analysis of 15mC lifestyles in various low- to mid-density areas, it focuses on governance frameworks and business models for innovative shared mobility services and flexible activity hubs.While car-sharing is developing more and more in the centres of major cities, where public transport and alternatives to the car are more plentiful, it is also possible to develop some car-sharing services on the outskirts of cities with a balanced economic model, in certain cases and under certain conditions.These services can be cost-effective if the local authority already has a policy of limiting car use and ownership, if subsidies or tax exemptions are available, etc. Among the different types of car-sharing, round-trip car-sharing is best suited to developing in sparsely populated areas, offering families alternatives to car ownership and encouraging them to adopt a more multimodal and local lifestyle. Round-trip car-sharing in residential buildings, in conjunction with the home-owner associations, is agood way of offering alternatives to cars for residents who don't own one and freeing up public space for a more efficient use of space. This car-sharing model looks promising but is still in an emerging phase. Free-floating operators have no interest in offering their services in these areas and must concentrate on dense areas to be economically viable. It is therefore necessary to allow operators to operate in profitable areas so that they agree to extend their service to the urban outskirts. Combined car-sharing (a car-sharing scheme that offers both round-trip and free-floating services) could be a solution that combines the reliability of round-trip car-sharing with the flexibility of free-floating, satisfying a variety of needs for regular users who don't own a car but need one occasionally.Cooperative, non-profit, and peer-to-peer car-sharing models are less widespread but can be implemented in sparsely populated areas thanks to the willingness and knowledge of citizens. Employer subsidies and tax exemptions can encourage employees to switch to car-sharing. Employers’ financial participation can enable operators to find an economic balance in areas where demand is lower, without requiring excessive public funding. A good partnership between the transport authority, municipalities, employers, citizens, and operators is the key to success for a balanced suburban car-sharing system with little or no public subsidy.Shared micromobility also tends to be concentrated in urban centres. Station-based bike-sharing schemes are the most widespread, but also the most restrictive and the most subsidised by local authorities. Although they may have increased the visibility of these alternatives to the car, systems of this type tried out on the urban outskirts are expensive for limited use. Private free-floating bicycle and e-scooter services generally operate without subsidy, which leads to much higher prices and may exclude an important part of the population from the service if no social tariff is proposed. Good dialogue with local authorities makes it possible to impose rules and controls, but operators deploy their services in the most profitable, densely populated areas, where they are more likely to replace journeys made on foot or by public transport than by car. Some local authorities tend to redirect their funds towards the development of cycle infrastructure and bike parking, which are necessary for active mobilities, whether shared or not. Despite this, lighter or station-free and less expensive micromobility systems such as Fifteen or Fredo, can find their place in urban outskirts. Innovative, low-cost, or community-based business models, such as Pony, might make this possible. On the other hand, if possible, a system deployed on a global basis in the city centre and its outskirts may enable a satisfactory compromise to be reached, with the high revenues generated in the central areas partly offsetting the lower ridership in the outskirts.Carpooling is another way of optimising car use, by sharing journeys rather than ownership. Short-distance carpooling can be a commuting solution for residents of urban outskirts with poor public transport, especially for people in precarious situations, on low incomes, who do not have a driving licence or a car, or because they are no longer fit to drive. It can also be a solution for minors or migrants without an exchange driving license possibility. However, it has little relevance to the making of the 15mC, given that this model is based on proximity, walking, and cycling. Nevertheless, certain forms of carpooling, such as organised hitchhiking or carpooling lines, can be of local interest in sparsely populated areas where buses are infrequent at off-peak times. The development of carpooling needs support from different stakeholders: public authorities, transport authorities, road managers, carpooling operators, etc. As for today, the various measures to promote short-distance carpooling are still largely subsidised.Demand-responsive services, or Demand-Responsive Transport (further: DRT), makes public transport more flexible in sparsely populated areas by providing at the same cost more geographic coverage, a denser network of stops and a reduction in travel times. In this way, it contributes to the 15mC neighbourhood as it provides mobility options for people who do not have access to private cars in car-centric areas. Setting up a DRT system requires the involvement of several partners and funders, such as transport authorities, local authorities, transport operators and even the State. DRT services are non-profit and could incur higher costs than fixed-route services, but it must be considered that they provide benefits in terms of delivering access to education, healthcare, culture, and work opportunities. DRT can also aim specific user groups such as minors, the elderly, precarious people, etc. There are several types of DRT services, involving different combinations of parameters such as vehicle size, flexible route, flexible stops, and flexible schedules. It is important to find a good balance between reliability, flexibility, and low costs. In this regard, hybrid (fixed schedule and stops with additional on-demand off-peak hours stops) and semi-flexible (number of possible pick-up times and locations are limited) DRT schemes seem to be the most suitable for urban outskirts. The development of flexible (pop-up) activity hubs makes it possible to offer shops and services where the density of an area is not high enough to allow permanent establishments. This may involve existing shops diversifying their services to meet the needs of local residents, as well as mobile services and shops that move around sparsely populated areas. In this way, flexible activity hubs can contribute to transform the urban outskirts following the 15mC model, offering residents new amenities and a more local lifestyle. This can take the form of shopkeepers diversifying their commercial offering (postal or banking services, parcel pick-up points, train tickets sales, etc.) or mobile services (food-trucks, mobile libraries, pop-up markets, etc.) bringing new activities to the area. Initiatives can be private (shops, personal services, etc.) or public (cultural or medical services, etc.). Local authorities can encourage the development of such services by providing easily accessible and visible locations on their territory, by promoting these itinerant shops and services and even subsidizing them if private initiatives struggle to emerge. Other stakeholders include resident and retailers' associations (to respond appropriately to needs and avoid duplicating commercial offer), transport operators such as rail companies and train stations managers to offer shops and services in stations.Mobility hubs bring together different types of mobility services at a single location. They are being deployed everywhere but are particularly well suited to the peri-urban context as they make alternatives to the private car visible and convenient in car-centred urban environments. By bringing together the policies developed above, they are a powerful tool for implementing the 15mC neighbourhood. Mobility hubs are very diverse in terms of the modes of transport and services they offer, the cost they require for implementation, operation, and maintenance, as well as the user groups they address. They therefore need to be adapted to local contexts. Governance can be complex because it involves public and private partners with sometimes diverging interests. Good planning, coordination and clear leadership enable the authorities to monitor the activities of private operators and ensure that they comply with the rules. Key partners are local authorities (municipalities, prov

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.354
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.000
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3540.179

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.275
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicTransportation and Mobility InnovationsFrench-language works237,207