Sustainable Urban Mobility Transitions—From Policy Uncertainty to the CalmMobility Paradigm
Abstract
Highlights
- Sustainable mobility approaches are often normatively sound and well-justified, yet in practice they tend to be implemented too quickly, in fragmented or chaotic ways, lacking reflection and citizen participation.
- In response to sustainable mobility approaches to systemic weaknesses, the paper develops CalmMobility, a unifying concept that integrates existing tools while promoting comprehensiveness, pacing–sequencing–inclusion, and Future-Readiness, ensuring socially grounded and resilient mobility transitions.
- The findings imply that without sequencing and social embedding, smart city mobility policies risk reinforcing fragmentation and inequality.
- CalmMobility offers a paradigm for resilient, citizen-centered, and innovation-ready mobility transitions, bridging technology with governance and society.
Abstract
1. Introduction
- Q1: What structural, psychological, and governance-related barriers emerge across current sustainable mobility policies?
- Q2: How do various mobility policies differ in terms of implementation logic, behavioral impact, and perceived legitimacy?
- Q3: How can a new conceptual framework support a more inclusive, adaptive, and psychologically sustainable mobility transition?
- Q4: How do the pace and sequencing of mobility policies shape their perceived legitimacy and long-term effectiveness?
2. Sustainable Mobility and Its Discontents
2.1. From Green Transport to Mobility Governance
- CIVITAS—the flagship programs helping the European Commission achieve its ambitious mobility and transport goals, and in turn those in the European Green Deal [27].
- Sustainable Urban Mobility Plans (SUMPs)—strategic plans designed to satisfy the mobility needs of people and businesses in cities and their surroundings for a better quality of life [28].
2.2. Expanding the Meaning of Sustainable Mobility
- Environmental protection;
- Social equity;
- Technological innovation;
- Economic resilience;
- Urban quality of life.
2.3. The Contemporary Policy Landscape and Inherent Challenges
2.4. Critical Gaps in the Literature: Fragmentation, Sequencing, Participation, and Affective Disconnect
3. Methodology
Analytical Scope, Dimensions, and Data Collection
- (1)
- Ontological status—This term refers to the position and nature of an approach within the conceptual and practical context of urban mobility systems. It distinguishes whether an approach functions primarily as a high-level paradigm (e.g., mobility equity), a planning model (e.g., public transport-oriented development), a governance framework (e.g., European Union plans), a policy instrument (e.g., Congestion Pricing), or a service architecture (e.g., mobility accelerators). This classification follows the tradition of policy ontology mapping in transportation studies [23,37], helping to clarify the role a given approach plays within the broader policy ecosystem.
- (2)
- Scale—A concept that refers to the level of spatial and institutional application, from micro (e.g., street or locality), through meso (e.g., neighborhood, city, or region), to macro (e.g., national or international). Recognizing scale is crucial for understanding potential synergies and conflicts across different levels of governance [38].
- (3)
- Ecosystem role—This concept describes the functional position of an approach within the mobility system, such as integrator (connecting modes or actors), coordinator (aligning strategies), regulatory constraint (setting limits or standards), or enabler (providing capacity or resources) [39].
- (4)
- Key levers of ASI—This concept is derived from the “Avoid–Change–Improve” model [40], which organizes sustainable mobility efforts into three strategic directions
- (a)
- Avoid—Reduce or eliminate the need to travel, especially motorized vehicles, through spatial planning and demand management;
- (b)
- Shift—Encourage a shift from high-emission to low-emission modes (e.g., from private cars to public transport, walking, or cycling);
- (c)
- Improve—Increase the efficiency and environmental performance of existing modes through cleaner technologies, better operation, and infrastructure modernization.
- Ontological Status—Classification Rules:
- Normative Paradigm/Theory: Defines what mobility should be (values, rights, ethics), without prescribing how to achieve it.
- Planning Model: Prescribes spatial or functional form (e.g., density, proximity, street design).
- Governance Framework: Defines processes, institutions, or cycles for decision-making, coordination, or monitoring.
- Policy Instrument/Economic Tool: Directly alters behavior or costs via incentives, disincentives, or mandates.
- Service Architecture/Technology: Provides a user-facing platform or system integrating modes, data, or payments.
- Ecosystem Role—Classification Rules:
- Integrator: Primary function is to connect previously separate elements (modes, data, operators, users) into a unified experience or system. Key criterion: enables interoperability.
- Coordinator: Primary function is to align strategies, resources, or timelines across departments, agencies, or levels. Key criterion: synchronizes action without merging systems.
- Regulatory Constraint: Primary function is to set binding rules, limits, or standards on access, behavior, or technology. Key criterion: defines what is permitted/prohibited.
- Enabler: Primary function is to provide foundational capacity or remove barriers (infrastructure, data, funding) that make other interventions possible. Key criterion: creates preconditions.
- (1)
- (2)
- Structural barriers—Physical and systemic constraints, such as infrastructure deficits, land use conflicts, technical operability issues, and historical urban morphology [40].
- (3)
- (4)
- Governance constraints—Institutional constraints, such as a lack of cross-sectoral coordination, political instability, and limited administrative capacity [43].
- (5)
- Affective frames—Referring to all the dominant narratives and keywords used in official communications [3].
- (6)
- Emotional resonance—The degree to which an approach generates positive or negative emotional responses among stakeholders, influencing acceptance and long-term adoption [44].
4. Results
5. Discussion
- -
- The backlash against the 15-Minute City (Table 8) is not a rejection of proximity, but a reaction to Policy Layering—introducing spatial restrictions without first building trust or providing alternatives;
- -
- The lukewarm adoption of MaaS (Table 12) stems not from technological flaws, but from Governance Silos (lack of data standards) and Affective Mismatch (framing as ‘convenience’ while users feel ‘app fatigue’);
- -
- The political volatility of Congestion Pricing (Table 10) is a direct result of Affective Mismatch—failing to frame it as a ‘fair exchange’ (paying for cleaner air, better buses) and instead allowing it to be perceived as a ‘commuting tax’.
- Clear normative direction—Paradigms such as Mobility Justice and accessibility planning provide robust ethical and social foundations for decision-making;
- Scalable applicability—Approaches such as TOD or SUMPs can be adapted across different spatial scales, from neighborhoods to metropolitan regions;
- Measurable impacts—Economic and regulatory instruments, when carefully designed, can deliver rapid reductions in congestion, emissions, and accidents.
- Policy Layering stems from MLG’s static, scale-focused lens—ignoring the need for pacing;
- Affective Mismatch reflects STRN’s technocratic bias—neglecting how policies feel to users;
- Governance Silos expose the gap between Mobility Justice’s lofty goals and the absence of cross-departmental KPIs or co-creation mandates;
- Future-Readiness Gap reveals how all three theories undervalue adaptability, reversibility, and open standards.
6. Proposal of an Original Approach to Sustainable Mobility—“CalmMobility”
- A pacing and sequencing tool for sustainable mobility measures, avoiding abrupt disruptions;
- An affective framing protocol that emphasizes opportunities, shared benefits, and agency;
- A co-creation platform embedded within governance processes to ensure continuity and legitimacy;
- A cross-policy integrator linking spatial, regulatory, economic, and service-based tools.
6.1. Theoretical Framework
6.2. CalmMobility Users Targets
- (a)
- Primary audience: Residents
- -
- Disruption without credible substitutes;
- -
- A lack of agency in how, when, and where change arrives, and;
- -
- Uneven distribution of burdens and benefits.
- (b)
- Secondary audience: Cities and metropolitan authorities
- (c)
- Transport operators and service providers (public and private)
- (d)
- Local businesses and employers
- (e)
- Civil society and community organizations
- (f)
- Political leadership and oversight bodies
6.3. Boundary Conditions and Limitations
- (1)
- Participation Fatigue: Rotating citizen panels and “what we heard → what we changed” protocols are proposed to mitigate this, but their long-term effectiveness remains unproven. In contexts of low trust or high inequality, repeated consultations can breed cynicism, not engagement. CalmMobility treats these as testable hypotheses—their design, incentives (e.g., stipends), and impact on legitimacy will be rigorously evaluated in the next phase of case studies.
- (2)
- Political Polarization: Staging reforms and “opportunities-first” communication aim to depoliticize transitions, but deeply entrenched car culture or ideological resistance (e.g., “15-Minute City” conspiracies) may render even phased approaches contentious. The framework’s reliance on “visible local benefits” (e.g., air quality improvements, safer crossings) is a pragmatic response, but it assumes political actors will allow these benefits to be attributed to the policy. This is not guaranteed. CalmMobility’s resilience to polarization will depend on its ability to build trans-partisan coalitions—a challenge it acknowledges but cannot fully resolve alone.
6.4. Operationalizing CalmMobility: A Conceptual Framework
- 1.
- Comprehensiveness: Mapping the ecosystem before acting
- 2.
- Pacing–sequencing–inclusion: Change as a dialogue, not a decree
- 3.
- Affective alignment: Framing change as opportunity, not punishment
- 4.
- Future-Readiness: Designing for adaptability, not perfection
7. Conclusions
- -
- Q1: What structural, psychological, and governance-related barriers emerge across current sustainable mobility policies? The synthesis identifies four cross-cutting challenge types: (1) Policy Layering (governance/psychological), (2) Affective Mismatch (psychological), (3) Governance Silos (structural/governance), and (4) Future-Readiness Gap (structural). These are systemic, not approach-specific.
- -
- Q2: How do various mobility policies differ in terms of implementation logic, behavioral impact, and perceived legitimacy? The analysis shows differences in legitimacy (e.g., high for Superblocks post-pilot, low for Congestion Pricing without revenue recycling) are best explained by their exposure to the four universal challenges, not their inherent design.
- -
- Q3: How can a new conceptual framework support a more inclusive, adaptive, and psychologically sustainable mobility transition? As detailed in Section 6, CalmMobility provides a meta-framework whose four pillars directly counteract the four universal challenges, enabling existing tools to work together coherently.
- -
- Q4: How do the pace and sequencing of mobility policies shape their perceived legitimacy and long-term effectiveness? Pacing and sequencing are the core antidote to Policy Layering—the most pervasive challenge. CalmMobility’s “go/adjust/stop” gates and pilot-first approach institutionalize this principle.
Supplementary Materials
Funding
Data Availability Statement
Conflicts of Interest
References
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Approach | Ontological Status | Scale | Ecosystem Role | Key ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
Mobility Justice | Normative paradigm/theory | Macro-meso | Norms for allocation | A-S | Fair distribution of mobility benefit. Mobility seen as a right | [29,36,45] |
Accessibility-based planning | Paradigm/method | Meso | KPI/measurement layer | A-S | Access over speed | [46,47,48] |
Avoid–Shift–Improve | Conceptual triad | Macro | Strategy template | A, S, I | Reduce demand, shift modes, improve technology | [49,50,51] |
Approach | Ontological Status | Scale | Ecosystem Role | Main ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
15-Minute City | Planning model | Meso | Ecosystem orchestration at neighborhood scale | A-S | Proximity/localism of daily functioning | [33,52,53] |
Transit-Oriented Development (TOD) | Planning model | Meso | Transport integration | S | Density; car independence | [54,55] |
Complete Streets | Design concept/protocol | Micro-meso | Cross-layer street design | S | Streets openness | [56,57] |
Shared Space | Design concept | Micro | Micro-interaction rules | S | Minimal segregation; negotiated movement | [58,59] |
Superblocks/car-free zones | Area intervention model | Meso | Space-relocation node | A-S | Traffic calming; reclaiming street space | [60,61] |
Approach | Ontological Status | Scale | Ecosystem Role | Main ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
Sustainable Urban Mobility Plans (SUMPs) | Governance framework | Meso | Ecosystem orchestration | A-S-I | Integrated participatory, strategist planning | [62,63,64] |
National/regional sustainable mobility strategies | Policy frameworks | Macro | Direction and funding alignment | A-S-I | NDCs, rail investment | [65,66,67] |
Approach | Ontological Status | Scale | Ecosystem Role | Main ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
Congestion/road pricing | Economic instrument | Meso | Demand lever | A | Charging for entry, usage to reduce congestion | [68,69,70] |
Parking pricing and management | Economic instrument | Micro-meso | Local demand lever | A | Paid zones, supply caps, demand-responsive pricing | [71,72,73] |
Fuel/CO2 taxes/feebates | Financial instrument | Macro | System-wide price signal | A-I | Carbon-consistent fuels/vehicle incentives | [74,75,76] |
Approach | Ontological Status | Scale | Ecosystem Role | Main ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
Low/Zero Emission Zones (LEZ/ZEZ) | Access regulation | Meso | Constraint on the ecosystem | I | Entry criteria by emission lass | [77,78] |
Vision Zero/speed management | Safety paradigm/regulation | Meso | Safety layer | A-S | Safe systems; speed limits | [79,80,81] |
Approach | Ontological Status | Scale | Ecosystem Role | Main ASI Lever (s) | Characterization | Literature Sources |
---|---|---|---|---|---|---|
Mobility as a Service | Service architecture | Meso | Platform orchestration | S-I | Multimodal integration, booking, payment, rental via application | [82,83,84] |
Shared mobility | Service/instrument | Micro-meso | First/last mile layer | S-I | Vehicle sharing and subscriptions | [85,86,87] |
Electromobility | Technology shift | Macro | Energy layer | I | Decarbonizing propulsion | [88,89,90] |
Charging infrastructure and grid integration | Infrastructure/technology | Meso-macro | Energy layer of ecosystem | I | Networks, demand management | [91,92,93] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
Mobility Justice | Normative guidelines for fair distribution | Lack of standards for measuring equity at the operational level; incomplete socio-demographic data; weak integration in SUMP metrics; difficulty in mapping transport poverty | “Loss of privileges” for current drivers, concerns about “punishing drivers”, fatigue with moralizing current habits; low visibility of short-term “benefits” | Fragmentation of competences in the transport–housing–care area; no equity reporting obligations; short policy cycles | Mobility, fairness, inclusion, transport poverty, capabilities | “right to mobility”, “justice” | High in marginalized groups; ambivalent among the public, increasing with evidence of improved transport accessibility | [3,36,45] |
Accessibility-based planning | Shifting the goal from “get there quickly” to “get close” based on arrival times, number of opportunities within a given time; common measurement layer for planning | Data on activities and function distribution; dynamic time availability; different transport user profiles; integration of transport models; limited access mapping in smaller cities | Reluctance to change habits, overestimating car speed (speed-oriented mobility); distrust of “algorithmic” justice | Inconsistent integration in planning codes—the need to standardize accessibility metrics in strategic documents; coordination with housing policy | Access over speed; time-to-opportunity, proximity benefits | “accessibility”, “proximity” | Good with proper visualization of benefit; trust, optimism | [46] |
Avoid–Shift–Improve | A three-way transport strategy framework by avoiding demand, shifting to sustainable modes, and improving transport efficiency | Reductionism due to excessive focus on “Improvement” from a technological perspective; difficulty in weighing paths; lack of an integrator between individual pillars of ASI | Skepticism towards behavior change | “Technological optimism” versus fear of restrictions; change overload when actions are taken simultaneously | Departmentalization, i.e., energy–transport–planning; lack of common progress indicators between the ASI pillars; efficiency and climate responsibility | “reduce demand”, “modal shift”; “avoid traffic”, “mode shift”, “clean tech”, “co-benefits” | Responsibility, urgency; generally positive if communicated quickly; indicating local benefits | [49,51] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
15-Minute City | Locating functions close to home; designing “daily life” on a neighborhood scale (i.e., proximity) | Land use rigidity, zoning codes; inherited development; shortage of services in the periphery; risks of gentrification; limited habitability in the centers | Concerns about “neighborhoods being shut down,” loss of “freedom to drive and live”; concerns about costs and jobs | Lack of cross-sector planning; transport-development-services integration; the need to reform standards and indicators | Proximity, quality of life | “nearby”, “local” | Strong support from families/seniors; controversy among long-distance commuters; controversial among the wealthier groups of society | [33,52,53] |
Transit-Oriented Development (TOD) | Transit based density; reducing car dependency | Infrastructure cost (land costs; resistance to density; risk of “transit gentrification” | Preference for private car convenience; concerns about crowds, parking; changing neighborhood identity | Weak TOD policy mandated; developer–city–operator cooperation; parking and planning reforms | Sustainable growth; density; car-independent areas | “transit hub”, “Reliability”, “transport efficiency” | Good for providing public services and green spaces | [54,55] |
Complete Streets | Equal space for all modes; redesigning streets for all users; design standards | Street width constraints; conflicts with through traffic; reconstruction costs. | Resistance from drivers—drivers’ concerns about losing driving lanes and free parking spaces; fear of “traffic jams” | Traffic code conflicts; coordination between road managers; harmonization of guidelines | Inclusivity; Safety | “for everyone”; “multi-modal comfort” | Fairness, welcome but after implementation according to the principle: you see the effect, you believe in the concept | [56,57] |
Shared Space | Minimal segregation; negotiating priority, slowing traffic | Safety concerns; requires high quality; accessibility issues for blind people | Uncertainty about traffic rules; fear for the safety of especially vulnerable road users | Liability uncertainty; legal risk/liability; need of national guidelines | Mutual respect | “shared” | Trust, attentiveness—increases after pilot implementation | [58,59] |
Superblocks/car-free zones | Recalibration of the street grid (e.g., local loops, ring traffic); reclamation of public space | Peripheral detours; need for intensive changes in traffic organization; carefully thought-out travel logistics required; political pushback | Attachment to through-traffic | Retailer opposition; concerns from trade and drivers; initially, acceptance declines; requires a long-term program and evaluation | Community health; quietness | “calm streets” | Pride, ownership | [61,94,95] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
Sustainable Urban Mobility Plans (SUMPs) | A planning cycle based on participation, vision and monitoring; integration of sectors | Limited data integration, unequal technical capacity; competence and data gap; difficulties in translating into budget and projects | Perception of over-consultation without results; skepticism towards “strategy” | Institutional silos; interdepartmental fragmentation; political instability | Collaboration long-term vision | “integrated planning”, “participation” | Neutral-positive, grows with quick wins | [62,63,64] |
National/regional sustainable mobility strategies | Centralized policy direction; guiding framework and financing; synchronization with the Green Deal | Disconnection from local realities | Perceived top-down imposition; the gap between the ambition and implementation capacity of local governments; “compliance over learning” | Funding gaps, unstable priorities; “Big Goal” fatigue; household cost concerns | National commitment | “Strategic investment” | Security, responsibility; dependent on visible local benefits | [96,97,98,99] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
Congestion/road pricing | Demand-driven traffic management by varying rates by time/location | High infrastructure cost; need for an efficient Intelligent Transport System; risk of “detours” | Perceived as unfair to low-income drivers; seen as a “commuting tax”; concerns about fairness | Weak revenue earmarking; requires a national legal framework; referenda/political legitimization | Efficiency, fairness, time reliability | “reduce congestion”, “pay for use” | Irritation acceptance if reinvested | [100,101] |
Parking pricing and management | Demand-side space management; pricing to occupancy targets (e.g., 65–85%); demand-driven circulating traffic control | Enforcement gaps; occupancy data, parking meter interoperability; conflict with minimum parking policy | Habitual car use—“I’m paying for something that was free”; attachment to a parking space close to home | Local political resistance; district decisions; the need for unbundling in planning | Fair allocation of space | “pay-to-park” | Acceptance, annoyance | [102,103] |
Fuel/CO2 taxes/feebates | National environmental pricing | Regressive impacts; policy response to price increases; vulnerability of low-income groups | Resistance to higher costs; strong resentment if no compensation; “yellow vest” effect | Political turnover; requires social protection and revenue earmarking | Climate responsibility | “polluter pays”, transport efficiency” | Responsibility, anger; low without compensation; acceptance increases with carbon dividends | [104,105] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
Low/Zero Emission Zones (LEZ/ZEZ) | Emission-based access control; forcing fleet modernization | Limits enforcement capacity; monitoring; need for support for logistics and small and medium-sized enterprises; risk of traffic spillover to other areas of the city | Perceived as excluding the poorest drivers; fear of costs | Legal challenges; legal robustness, consistency with national/EU standards | Clean air, health | “zero emission zone” | Relief, resentment; mixed | [106,107] |
Vision Zero/speed management | Safety-first urban design; “Safe System”: design, speeds, tolerance for human error; goal: 0 fatalities | Road network retrofitting costs; road system reconstruction; speed consistency “between zones” | Speed culture attachment—resistance to lower limits; “loss of mobility”; the “guilty user” myth | Inconsistent enforcement; requires sustainable security institutions and financing; police–road–health coordination | Safe journeys | “zero deaths” | Security, pride | [108] |
Approach | Implementation Logic | Structural Barriers | Psychological Resistance | Governance Constraints | Affective Frames | Keywords | Emotional Resonance | Literature Sources |
---|---|---|---|---|---|---|---|---|
Mobility as a Service | Digital integration; a platform that integrates planning, booking, and payment; service bundling | Data interoperability issues | Application fatigue, trust in platform; distrust of subscriptions; concerns about privacy and “app addiction”; reluctance to infiltrate service providers due to access to sensitive data | Lack of operator cooperation; the need for a top-down regulatory framework for data, platform neutrality, and public purposes | Convenience | “all-in-one”, “integration” | Ease, curiosity; after pilot tests—good | [109,110,111] |
Shared Mobility | Flexible access; vehicle sharing for first/last mile and reducing car ownership | Supply gaps in low-density areas | Hygiene, reliability concerns; parking/charging infrastructure; devastation; seasonality of demand; safety concerns with scooter sharing; attachment to “possession” | Lack of supportive infrastructure; licenses, operating zones, tariff integration with public transport; concern about data exchange | Flexibility; access no ownership | “sharing” | Variable; high in younger users and in wealthier societies in the case of car sharing | [112,113] |
Electromobility | Technology substitution; decarbonizing the drivetrain; synergy with renewable energy sources | High upfront cost; unevenly distributed charging network; impact on the network; costs and availability of cars | Range anxiety, battery costs, technological uncertainty | Charging standards, investment support, and energy tariffs needed | Clean technology | “zero emission” | Pride, anxiety | [114,115] |
Charging infrastructure and grid integration | Energy-transport integration; charging time/power control; bidirectional energy flow | Grid capacity limits; hardware and protocol standards; cost-effectiveness; battery life | Waiting time frustration; Fear of battery degradation; distrust of “giving off current” | Investment coordination; need for market roles for aggregators; dynamic tariff regulations | Reliability; flexibility; cheaper bills | “fast charging”; grids support | Trust, impatience; it grows with bills showing savings | [116] |
Challenge Type | Definition | Most Affected Approaches (Examples) | Empirical Manifestations (from Table 7, Table 8, Table 9, Table 10, Table 11 and Table 12 and Literature) | Observed Implementation Gap (What is Missing for Success) |
---|---|---|---|---|
Policy Layering | Implementing policies simultaneously without sequencing, causing overload. | 15-Minute City, Congestion Pricing, LEZ, Parking Mgmt, Superblocks | Public perceives “closure of districts”; “travel tax”); lack of visible alternatives before restrictions (Table 8, Table 10, and Table 11); leads to “policy fatigue” [15]. | Clear sequencing, pilot phases, visible alternatives before restrictions. |
Affective Mismatch | Mismatch between technocratic framing and citizens’ emotional experience. | Mobility Justice, Vision Zero, MaaS, Shared Mobility | Framing as “sjustice” or “zero victimes” feels moralizing; users feel guilt, not empowerment (Table 7, Table 11, and Table 12); lack of narrative on tangible, local benefits [122,123]. | Emotionally resonant communication focused on local, tangible benefits (not abstract values). |
Governance Silos | Fragmented institutions, lack of coordination across departments/levels. | SUMPs, MaaS, Electromobility, National Strategies, TOD | SUMPs fail due to lack of transport–housing coordination (Table 9); MaaS fails due to lack of data interoperability (Table 12); „policy silos” reduce effectiveness [43,120]. | Cross-departmental teams, shared KPIs, open data standards, unified budgets. |
Future-Readiness Gap | Lack of adaptability, reversibility, and preparation for future shocks. | MaaS, Electromobility, Shared Mobility, Autonomous Vehicles (implicit) | Platforms become obsolete or fail (Table 12); infrastructure investments (e.g., chargers) lack flexibility for tech shifts [114,116]; no “sunset clauses” or pilot “go/adjust/stop” gates. | Adaptive, reversible pilots; flexible financing; scenario planning for tech shifts. |
Approach/Challenge Type | Policy Layering | Affective Mismatch | Governance Silos | Future-Readiness Gap |
---|---|---|---|---|
Mobility Justice | 🟡 | 🔴 | 🟡 | 🟢 |
Accessibility-Based Planning | 🟡 | 🟡 | 🟡 | 🟢 |
Avoid–Shift–Improve | 🟡 | 🟡 | 🟡 | 🟢 |
15-Minute City | 🔴 | 🟡 | 🟢 | 🟢 |
Transit-Oriented Development | 🟡 | 🟡 | 🟡 | 🟢 |
Complete Streets | 🔴 | 🟡 | 🟢 | 🟢 |
Shared Space | 🟡 | 🟡 | 🟢 | 🟢 |
Superblocks | 🔴 | 🟡 | 🟢 | 🟢 |
SUMPs | 🟡 | 🟡 | 🔴 | 🟡 |
National/Regional Strategies | 🟡 | 🟡 | 🔴 | 🟡 |
Congestion Pricing | 🔴 | 🔴 | 🟡 | 🟢 |
Parking Management | 🔴 | 🟡 | 🟡 | 🟢 |
Fuel/CO2 Taxes | 🟡 | 🔴 | 🟡 | 🟢 |
LEZ/ZEZ | 🔴 | 🔴 | 🟡 | 🟢 |
Vision Zero | 🟡 | 🔴 | 🟡 | 🟢 |
MaaS | 🟡 | 🟡 | 🔴 | 🔴 |
Shared Mobility | 🟡 | 🟡 | 🔴 | 🔴 |
Electromobility | 🟡 | 🟡 | 🔴 | 🔴 |
Charging Infrastructure | 🟡 | 🟡 | 🔴 | 🔴 |
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Turoń, K. Sustainable Urban Mobility Transitions—From Policy Uncertainty to the CalmMobility Paradigm. Smart Cities 2025, 8, 164. https://doi.org/10.3390/smartcities8050164
Turoń K. Sustainable Urban Mobility Transitions—From Policy Uncertainty to the CalmMobility Paradigm. Smart Cities. 2025; 8(5):164. https://doi.org/10.3390/smartcities8050164
Chicago/Turabian StyleTuroń, Katarzyna. 2025. "Sustainable Urban Mobility Transitions—From Policy Uncertainty to the CalmMobility Paradigm" Smart Cities 8, no. 5: 164. https://doi.org/10.3390/smartcities8050164
APA StyleTuroń, K. (2025). Sustainable Urban Mobility Transitions—From Policy Uncertainty to the CalmMobility Paradigm. Smart Cities, 8(5), 164. https://doi.org/10.3390/smartcities8050164