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Enregistrement W7106245700 · doi:10.5281/zenodo.17665207

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

2025· article· W7106245700 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langue
DomaineEngineering
ThématiqueTransportation and Mobility Innovations
Établissements canadiensnon disponible
Organismes subventionnairesEuropean Commission
Mots-clésCorporate governanceDeliverablePopulationZoningUrban planningOddsRegional planning

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,354
Score d'incertitude au seuil0,922

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,006
Études des sciences et des technologies0,0010,000
Communication savante0,0050,004
Science ouverte0,0010,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,3540,179

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,059
Tête enseignante GPT0,275
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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