CalmMobility in the Smart City: From Techno-Solutionism to Human-Paced Mobility Transitions

Highlights

What are the main findings?

• Across seven smart city mobility cases on four continents, a city’s shift to new mobility arrangements was taken up more smoothly when the change was well paced, sequenced, and co-created with residents, and the type of technology or instrument deployed mattered much less.
• Comparable instruments diverged sharply in legitimacy, as an alternatives-first, trial-based congestion charge in Stockholm followed a very different acceptance path from a single-step access charge in London.

What are the implications of the main findings?

• Calm smart mobility reframes smart city transitions around how change is paced, sequenced, and experienced—options-first and co-created—and not only around what technology is deployed.
• Planners can raise legitimacy and durability by providing credible alternatives before restrictions, phasing change through reversible pilots, and treating residents as co-authors of the transition.

Abstract

Smart city mobility is increasingly governed by a techno-solutionist logic that prizes data, automation, and efficiency, often at the expense of public trust, social legitimacy, and lived experience. This article argues that the fate of a mobility transition appears to depend less on the sophistication of the technology than on the pace and posture of change. Building on the CalmMobility framework and on Weiser and Brown’s concept of calm technology, it develops the idea of calm smart mobility—a human-paced, options-first approach in which innovation enters everyday life gradually and with credible alternatives already in place, so that residents are not asked to continuously adapt. The framework’s three pillars (Comprehensiveness; Pacing–Sequencing–Inclusion; Future-Readiness) are mapped onto four recurring challenges of smart mobility (Policy Layering, Affective Mismatch, Governance Silos, and the Future-Readiness Gap) and then used as a descriptive analytical lens to characterize seven documented implementations across economic, spatial, mass-transit, service, and platform interventions and four world regions: the Stockholm congestion charge, the London ULEZ expansion, the Barcelona superblocks, Bogotá’s TransMilenio bus rapid transit and Ciclovía, Seoul’s Cheonggyecheon restoration and bus reform, Helsinki’s Whim Mobility-as-a-Service, and Sidewalk Toronto. Presented through a comparison table, a positioning map, and adoption trajectories rather than rankings, the characterization suggests that the provision of alternatives, the sequencing and pace of change, and the genuineness of co-creation are more closely associated with smooth adoption than the type of instrument deployed. The article is conceptual and framework-building. The cases illustrate and probe the framework instead of validating it, and a testable central hypothesis is specified for future empirical work. Calm smart mobility is offered as a transferable, citizen-centred logic for guiding smart city mobility transitions at a human pace.

1. Introduction

Cities have become the principal arenas of demographic, economic, and technological transformation. With the share of the world’s population living in urban areas projected to approach 68% by 2050 [1], pressure on urban transport systems, the connective infrastructure on which nearly all other urban functions depend, has intensified accordingly. In response, a growing number of cities have embraced the smart city paradigm [2], mobilizing digital technologies, sensor networks, and data platforms to optimize how people and goods move. Mobility has become the flagship domain of this agenda. It is highly visible, data-rich, and politically salient, and it promises the kind of measurable efficiency gains that justify continued investment.

Yet the dominant framing of smart mobility rests on an assumption that deserves scrutiny, namely that urban mobility problems are, at root, problems of insufficient technology, data, or computation. This assumption is a species of what Morozov [3] calls solutionism, the reflex to recast complex social and political questions as neatly solvable engineering tasks. A substantial body of critical scholarship has shown where this reflex leads. Hollands [4] questions what makes a “smart” city smart, warning against technology-led, entrepreneurial framings; Kitchin [5] cautions that real-time, data-driven urbanism embeds politics and interests; and Greenfield [6] argues that smart city visions often serve vendors more than residents. Empirically grounded studies reinforce these concerns. Flynn [7] shows that smart city initiatives can reinforce social and spatial inequalities; Sengupta et al. [8] find that government-backed projects frequently benefit elites and platform providers more than the public; McCord and Becker [9] document how the Sidewalk Toronto project marginalized local perspectives; and Park and Chung [10] catalogue the “dark sides” of smart urbanism, including weakened democratic agency and eroded public trust. In mobility specifically, the recurring promise that the next technology, most recently autonomous vehicles, will resolve urban transport problems has been read as a continuation of a long solutionist tradition and not a break from it [11,12]. The shared critique is that such systems optimize data rather than dignity.

Beneath these critiques lies a problem of pace. Technology in this field advances faster than the social and physical capacity to absorb it [4,6], and cities are under constant pressure to keep up, whether to meet environmental targets, to answer the expectations of residents and funders, or to be seen as modern and in step with prevailing trends [11,12]. Under that pressure, new solutions are often adopted quickly and with little scrutiny, with tools rolled out before they have been properly tested and new systems introduced before the supporting infrastructure, the credible alternatives, or a basic public understanding are in place.

The argument advanced here is that the deeper problem is not the technology itself but the pace and posture of its deployment. Mobility is not merely a technical system but a socio-technical one, co-produced by infrastructure, rules, technologies, and the practices and meanings of everyday life [13]. Its arrangements, including whom streets are “for,” are socially constructed and historically contested rather than natural [14]. Sustainable and just mobility scholarship has long insisted on this broader view: Banister’s sustainable mobility paradigm reframed transport around accessibility and quality of life rather than movement alone [15], and Martens recast mobility as a matter of distributive justice [16]. When interventions are introduced rapidly, top-down, and without credible alternatives, they collide with habits, place attachments, and a sense of autonomy, producing resistance regardless of technical merit. A recent synthesis of nineteen sustainable mobility approaches [17] distilled this into four recurring challenges, Policy Layering, Affective Mismatch, Governance Silos, and a Future-Readiness Gap, and proposed CalmMobility as a unifying framework emphasizing Comprehensiveness, Pacing–Sequencing–Inclusion, and Future-Readiness. That work established the concept, but it did not connect it to the smart city literature in which so many of these recurring challenges originate, nor did it provide a way of reading concrete implementations.

This article addresses both gaps by turning to an underused intellectual resource from the smart city’s own lineage: the notion of calm technology. Weiser and Brown [18] argue that the most profound technologies are those that recede into the background, informing without demanding attention and moving fluidly between the centre and the periphery of awareness—principles later formalized for design practice by Case [19]. Although calm technology was conceived for human–device interaction, its core intuition, that good technology should reduce rather than amplify the cognitive and emotional burden it places on people, translates directly to the governance of mobility transitions. A calm smart mobility is one in which change enters everyday life gradually and legibly, supported by alternatives, rather than arriving as a disruptive shock that residents must continuously absorb. This principle is the one already systematized, for mobility, in the CalmMobility paradigm [17], on which the present article builds; calm technology is invoked here as the lineage that names it, rather than as a literal model of attention.

Building on this principle, the paper pursues three guiding propositions: (P1) that resistance to smart mobility stems more often from the pace and mode of implementation than from the technology itself; (P2) that the calm technology principle of reducing the burden imposed on people can be expressed as an options-first governance posture for mobility; and (P3) that co-creation and Living Labs provide the missing implementation engine for embedding such transitions socially. These are conceptual claims that the article advances and illustrates rather than statistically tests. Together they yield a single, testable central hypothesis: that the public legitimacy and durability of a smart mobility intervention depend more on its posture, namely the readiness of the community, the availability of credible alternatives, and the degree to which change is co-created rather than imposed, than on either the speed of introduction or the type of instrument deployed (H1). The present study is accordingly conceptual and framework-building: it develops calm smart mobility and probes its plausibility against documented cases, while the empirical validation of H1 is set out as future work. To make the argument operational, the framework’s three pillars are mapped onto the four recurring challenges of smart mobility and then used as a descriptive analytical lens through which a set of documented implementations is characterized along dimensions such as the provision of alternatives, the pace of introduction, and the mode of decision-making. The characterization spans economic, spatial, mass-transit, service-based, and platform interventions across four world regions, and asks whether perceived legitimacy and durable adoption track the sequencing and social embedding of change more closely than the type of instrument deployed.

The contribution is to shift the first question asked of a mobility transition away from which technology to deploy and towards how, in what order, and with whom change is introduced, and to provide a shared vocabulary for anticipating where a transition is likely to gain or lose legitimacy.

Data Dictionary and Key Definitions

To ensure conceptual clarity from the outset and avoid ambiguity in the subsequent sections, this subsection consolidates the foundational terms and outcome concepts that underpin the argument developed throughout this article. These definitions serve as a reference point for the theoretical framework and the cross-case analysis and they are presented in

Table 1. Definitions of the key terms used throughout this article.

Term	Definition as Used in This Article
Smart city	An urban model in which information and communication technologies, data, and human and social capital are combined to improve efficiency, sustainability, and quality of life.
Smart mobility	The smart city domain that applies data, connectivity, and on-demand digital services to optimize the movement of people and goods; the most visible and politically salient domain of the smart city agenda.
Techno-solutionism (solutionism)	The reflex, after Morozov [3], to recast complex social and political questions as neatly solvable engineering or technological tasks.
Calm technology	After Weiser and Brown [18], technology that informs without demanding attention, moving fluidly between the centre and the periphery of awareness rather than competing for it.
Loud technology	The contrary posture: change that sits insistently at the centre of attention, foregrounds its own novelty, and imposes a sustained cognitive and emotional load on the people it is meant to serve.
CalmMobility	The antecedent framework for sustainable mobility transitions [17], built on three pillars (Comprehensiveness; Pacing–Sequencing–Inclusion; Future-Readiness) that address four recurring implementation challenges, and governed by the principle of opportunity over restriction realized through genuine co-creation.
Calm smart mobility	This article’s concept: an approach to smart city mobility transitions that proceeds by opportunity rather than restriction and through genuine co-creation, in which technological and spatial innovation enters everyday life gradually, legibly, and with credible alternatives already in place, rather than demanding continuous adaptation from residents.
Co-creation	Genuine joint authorship of change with residents, beyond the tokenistic informing or consultation on the lower rungs of Arnstein’s ladder [20], treated here as the implementation engine for embedding transitions socially.
Living Lab	A bounded, real-world setting for co-created, reversible experimentation and learning, including learning from failure.
Posture of change	The way a transition is paced, sequenced, framed, and shared with residents, comprising the provision of alternatives, the pace and reversibility of introduction, the mode of decision-making (co-created versus imposed), and the resulting felt experience of change, as distinct from the type of instrument deployed.
Acceptance	Residents’ approval of a measure; not a fixed attribute but produced over time, tending to rise with direct experience, perceived fairness, and trust.
Legitimacy	The perceived rightfulness of a measure and of the process by which it was decided; produced through how change is decided, not only through its outcomes. Broader than acceptance, which it helps generate.
Compliance	The extent to which users conform to a measure’s rules (for example, the share of vehicles meeting an emissions standard), a technical outcome that can be high even where legitimacy is contested.
Uptake	The degree to which a service or option is actually adopted and used by residents (especially relevant for service- and platform-based interventions).
Durability	The capacity of a measure to endure across political cycles without rollback or reversal.
Policy success	Achievement of a measure’s stated technical or environmental objectives, analytically distinct from social legitimacy, since a measure can meet its targets while remaining contested.

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The elaboration of these terms in their respective contexts is provided in Section 2, but their consolidation here provides the reader with a conceptual map of the framework’s core vocabulary before engaging with the theoretical foundations.

The paper is structured as follows. Section 2 reviews the background literature and develops the move from calm technology to calm smart mobility. Section 3 presents the framework, mapping the three pillars onto the four recurring challenges and explaining its use as a descriptive analytical lens. Section 4 describes the case study methodology. Section 5 reports the cross-case analysis, Section 6 discusses implications, limitations, and a research agenda, and Section 7 concludes the work.

2. Background and Conceptual Foundations

2.1. Smart Mobility and Its Discontents

The smart city is commonly defined as an urban model in which information and communication technologies, data, and human and social capital are combined to improve efficiency, sustainability, and quality of life [21,22]. Influential frameworks decompose it into several domains, smart economy, smart people, smart governance, smart mobility, smart environment, and smart living [23], among which smart mobility is one of the most visible and politically salient. Mobility is where the smart city most directly touches everyday life, and so it is where the gap between technological promise and lived experience is felt most acutely [2]. The principal families of smart mobility instruments, their smart city rationale, and the calm-design question this article attaches to each are summarized in

Table 2. Smart mobility within the smart city: instrument families, their smart city rationale, the characteristic “loud” failure mode, and the calm-design question.

Smart Mobility Instrument Family	Smart City Rationale	Characteristic “Loud” Failure Mode	Calm-Design Question
Sensing & access control (camera-enforced low-emission/access zones)	data-driven air quality and access management	air quality and access management abrupt, charge-framed rollout; surveillance concern	Is a credible alternative in place before access is restricted?
Demand pricing platforms (congestion charging)	efficient allocation of scarce road space	imposed pricing read as a “tax”; equity backlash	Is the measure trialled, and is revenue visibly recycled?
Mobility-as-a-Service platforms	seamless, integrated multimodal travel	platform-led launch without governance coordination	Are operators, authorities, and users co-creating the service?
Spatial reconfiguration (superblocks, circulation plans)	livable, low-traffic public space	displacement to surrounding streets; surprise closures	Does the change avoid sub-optimization and enter gradually?
Integrated data districts/platforms	optimization through ubiquitous sensing	proprietary, low-trust, master-planned design	Is the design open, interoperable, and civically governed?

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The failure modes in Table 2 are not exhaustive. Each one names the friction most often reported for its instrument family across the cases and the critical literature reviewed here, and other framings are possible. Congestion charging is widely read as a tax because it puts a visible price on something that used to be free; Mobility-as-a-Service has repeatedly struggled to align operators with public authorities; and superblocks attract their sharpest criticism when traffic is pushed onto neighbouring streets. The column is meant to flag the calm-design question each pattern raises, and it does not claim that the mode listed is the only way an instrument can fail.

The smart city has reframed urban mobility as a domain to be optimized through data, connectivity, and on-demand digital services. Shared and platform-based mobility, including car- and bike-sharing, ride-hailing, micromobility, and their integration into Mobility-as-a-Service, has expanded the space between private car ownership and conventional public transport, promising more flexible and lower-carbon travel [24]. Yet the same scholarship that documents these possibilities also records their limits: benefits accrue unevenly, depend on smartphone access and digital literacy, and can bypass the very groups they are meant to serve. A broader critical literature on the smart city warns, in parallel, that technological sophistication does not by itself improve urban life and may even deepen exclusion. Examining Central and Eastern European cities, Jonek-Kowalska and Wolniak [25] show that the smart city’s promise of a higher quality of life is uneven and contested, with supporters’ optimism matched by concerns that smart urbanism can escalate social and economic imbalance; their analysis of Polish cities ties smart city performance to concrete determinants of residents’ quality of life rather than to technology adoption as such [26]. Taken together, this work sets the starting point for the present article. The value of smart mobility depends less on the instruments deployed than on how, and for whom, they are introduced.

2.2. Public Acceptance and Sustainable Mobility Transitions

A second body of work concerns how mobility change is received. Research on the social dimensions of transport shows that mobility is bound up with access, equity, and inclusion, so that measures perceived as unfair or exclusionary meet resistance regardless of their environmental merit [16,27]. Acceptance, on this evidence, is not a fixed attribute of a policy but something produced over time. Studies of transport pricing find that approval depends on perceived fairness, on trust in how revenues are used, and on whether residents have direct experience of a measure’s effects, and that opposition often softens once a scheme is in operation [28]. Habit and the status quo exert a strong pull, so that change framed as loss, restriction, or imposition tends to provoke resistance out of proportion to its objective costs, whereas the same change framed around tangible benefits and credible alternatives is far more readily absorbed. How a measure is sequenced and communicated, in short, can matter as much as what the measure is.

A parallel literature examines how mobility transitions unfold as systemic processes. The multi-level perspective on socio-technical transitions shows that durable change requires alignment across niche experiments, incumbent regimes, and the wider landscape, and that it is typically gradual, contested, and path-dependent rather than abrupt [29]. Studies of transport governance add that decarbonizing mobility is as much a problem of coordination, institutions, and politics as of technology [30], while the Mobility-as-a-Service literature documents how hard it is, in practice, to align operators, public authorities, and travellers around integrated services [31]. The sustainable mobility paradigm [15] and the new mobilities paradigm [13] together frame these as socio-technical, not narrowly technical, challenges. What this body of work establishes, and what the present article builds upon, is that acceptance and durability are produced through the process of change, through its pace, its perceived fairness, and the degree to which residents experience agency rather than imposition.

2.3. Calm Technology and Why It Speaks to Mobility

Calm technology emerged from the environment-scale computing tradition at Xerox PARC, an institution whose research today focuses on autonomous and distributed systems, human–machine collaboration, and advanced sensing technologies. Weiser [32] anticipated a world in which computation would dissolve into everyday environments, becoming so embedded that it would no longer be experienced as “technology” at all. Weiser and Brown [18] extended this vision normatively. The best technologies, they argued, are calm, in that they inform without demanding attention and move fluidly between the centre and the periphery of human awareness, engaging us fully only when needed and otherwise resting quietly in the background. Calm technology thus reverses the implicit logic of much digital design, which competes for attention and measures success by engagement. Case [19] subsequently translated these intuitions into design principles, among them that a technology should require the smallest possible amount of attention, should inform and create calm rather than alarm, should make use of the periphery, and should amplify the best of both technology and humanity.

The relevance of this lineage to mobility is structural rather than merely metaphorical. Smart mobility is, by design, attention-demanding. It asks residents to download applications, learn new payment systems, reorganize daily routines, and continuously adapt to reconfigured streets, shifting access rules, and successive “flagship” interventions. In the terms developed above, much of contemporary smart mobility is loud technology. It sits insistently at the centre of attention, foregrounds its own novelty, and imposes a sustained cognitive and emotional load on the people it is meant to serve. This is the experiential signature of the techno-solutionist posture described in Section 1, where Flynn [7] and Sengupta et al. [8] diagnose data prioritized over dignity; calm technology supplies a complementary vocabulary for why such systems are felt as impositions. They violate the principle that good technology should recede instead of intruding. Mobility, understood as a socio-technical system woven into the routines and meanings of everyday life [13], is precisely the domain in which intrusive change is most costly.

2.4. From Calm Technology to Calm Smart Mobility

Although calm technology was conceived for human–device interaction, its core principles transpose coherently from the scale of the device to the scale of mobility governance (Figure 1). The principle of the periphery becomes a logic of paced, background entry, in which change is phased and legible so that residents encounter it gradually rather than as a shock. The principle of minimal attention becomes the deliberate minimization of the cognitive and emotional burden a transition places on residents. The principle of informing rather than alarming becomes a communicative posture organized around benefits and alternatives rather than bans and fear. And the principle of amplifying the best of technology and humanity becomes a commitment to technology that supports human agency and co-creation rather than displacing them.

The claim made by this transposition is deliberately narrow. It takes over a single design principle from calm technology and nothing more. A well-designed system should lighten the mental and emotional load it places on the people who live with it instead of adding to it, staying in the background for most of the time and coming forward only when it truly needs their attention. In mobility, that background quality means change residents can take in without constant effort or anxiety, and coming forward describes the moments when they are actually asked to choose, to deliberate, or to take part. The transposition does not claim that mobility reduces to a human–device interface, nor that calm means slow or low-technology. As Section 3.1.2 explains, calm describes how change is handled, not the speed at which it happens. This calm logic of change, and its contrast with a “loud”, restriction-first rollout, is summarized in Figure 2.

Communication, credible alternatives, and co-creation come first, and any restriction follows only once a workable substitute and a social mandate are in place (“options-first, no ban without consent”), with phased, reversible introduction through go/adjust/stop gates. A “loud”, restriction-first rollout, shown above it, tends instead toward backlash and reversal. The figure characterizes the logic of the approach and does not depict any specific case.

On this basis, calm smart mobility may be defined as an approach to smart city mobility transitions in which technological and spatial innovation enters everyday life gradually, legibly, and with credible alternatives already in place, so that change recedes into the background of urban life rather than demanding continuous adaptation from residents. The concept stands in deliberate continuity with the CalmMobility framework [17], inheriting its three pillars and its diagnosis of four recurring implementation challenges, while adding two elements the original formulation lacked: an explicit theoretical anchor in the smart city’s own intellectual history, and a reframing of the affective psychological layer not as a “soft” supplement to policy but as the very dimension calm technology was designed to address. Where Mobility Justice asks what access is distributed and to whom [16], and calm technology asks how a system feels to its user, calm smart mobility joins the two: it treats the felt experience of change as a first-order design variable in the distribution of mobility.

The next section operationalizes this logic, mapping the three pillars of the framework onto the four recurring challenges of smart mobility.

3. The Calm Smart Mobility Framework

The framework rests on three pillars inherited from CalmMobility [17] and here re-grounded in the transitions, participation, and behavioural science studies. Each pillar is specified not as an aspiration but as a set of design commitments with identifiable theoretical antecedents, an associated systemic driver of failure, and corresponding recurring challenges of smart mobility that it is intended to counter. Section 3.1 develops the three pillars; Section 3.2 maps them onto the four recurring challenges; Section 3.3 explains how the framework is used as a descriptive analytical lens for a comparative analysis; and Section 3.4 specifies what the framework adds relative to existing transition theories.

3.1. CalmMobility Pillars

3.1.1. Comprehensiveness

The first pillar holds that mobility interventions must be conceived as parts of an interdependent system rather than as discrete, single-purpose measures. This commitment follows from the conception of mobility as a socio-technical system [13] and from the multi-level perspective on socio-technical transitions, which demonstrates that durable change requires alignment across niche innovations, incumbent regimes, and the wider landscape rather than isolated action at any single level [29,33,34]. In practical terms, Comprehensiveness entails intermodal planning that incorporates under-used modes such as inland waterways, rail-borne car transport, and port interfaces, together with scenario analysis tracing how a measure introduced in one domain propagates into others. It also prescribes coordinated, cross-sector governance, drawing on open-innovation and quadruple-helix arrangements [35,36,37], in which the boundary of the planning unit is deliberately widened so as to internalize effects that fragmented planning externalizes; the operational design of these arrangements is developed separately [38]. The characteristic failure that Comprehensiveness guards against is sub-optimization, for instance pedestrianizing a street while displacing through-traffic and severing access, so that neither the new amenity nor the surrounding economy thrives. The integration sought here is not only spatial and modal but also epistemic: it requires combining the technical knowledge of planners with the experiential knowledge of residents, an argument elaborated on under the second pillar.

3.1.2. Pacing–Sequencing–Inclusion

The second pillar concerns the temporal and procedural organization of change, and it is the analytical heart of the framework. It draws on transition management, which treats sustainability transitions as long-term, reflexive processes steered through iterative cycles of experimentation, learning, and adjustment rather than through one-off interventions [39]. From this lineage the framework adopts three operational devices. The first is staged rollout governed by go/adjust/stop gates: interventions are introduced as time-bounded pilots with pre-announced evaluation criteria, so that continuation, modification, or withdrawal is a planned decision rather than a political crisis. The second is reversibility, secured through sunset clauses that allow a measure to lapse if it fails to meet its criteria; this is consistent with the logic of policy experimentation embodied in urban Living Labs [40,41], where controlled, bounded trials are the default mode of learning, including learning from failure. The third is the options-first sequencing rule: credible, functioning alternatives are provided and experienced before any restriction is imposed.

The behavioural rationale for these devices is well established. Status quo bias [42] and loss aversion [43] jointly predict that abrupt, loss-framed change will provoke resistance disproportionate to its objective costs, because prospective losses of convenience, autonomy, or identity are weighted more heavily than equivalent gains. Empirical work on the acceptability of transport pricing confirms that acceptance is not fixed but rises with experience, perceived fairness, and trust [28]; the Stockholm congestion charge is the paradigmatic case, where a time-limited trial preceded a referendum and public support shifted from majority opposition to majority approval once residents had experienced the system in operation [44]. The options-first rule also resolves a problem that undermines naïve participation: because stated preferences tend to be conservative and anchored to the familiar, asking residents what they want in the abstract can entrench car dependence, whereas letting them experience a credible alternative shift revealed preference. Inclusion, finally, is understood here as genuine co-creation rather than the tokenistic “informing” or “consultation” located on the lower rungs of Arnstein’s ladder of citizen participation [20]; on this view, legitimacy is produced through the process by which change is decided, not only through its outcomes.

A corollary that is easily overlooked is that one legitimate outcome of these gates is not to proceed at all. Calm smart mobility treats restraint as a valid result rather than a failure. Where co-creation and a pilot reveal that an intervention would serve no genuine need, such as turning a traffic lane into a green strip that no one uses, or pedestrianizing a street that thereby loses the footfall that gave it life, the calm decision is to withdraw the measure, or never to introduce it, rather than to defend a flagship for its own sake. In this sense, co-creation is not only a means of designing change but a means of discovering whether change is warranted; the first question it answers is not “how should we intervene?” but “should we intervene here at all?”

It is equally important to be clear about what pacing does and does not mean. Calm does not mean slow; it names a posture rather than a speed. What the framework opposes is not rapid change but imposed change, that is, transitions run as a contest between authorities and residents in which measures are dictated, and alternatives are withheld. Where the opposite posture holds, where a community is prepared, credible alternatives are already in place, and the change is co-created rather than declared, even a fast or single-step introduction can be calm. Readiness, the absence of an adversarial us-versus-them dynamic, and genuine collaboration are what make speed legitimate; their absence is what makes it explosive. The rapid, pandemic-era rollout of pop-up cycle lanes across European cities illustrates the point: introduced provisionally and almost overnight yet building on existing plans and a widely shared rationale, this temporary infrastructure produced large and rapid increases in cycling [45], and in several cities the provisional lanes were subsequently made permanent. Pacing matters, then, chiefly because it is the usual way readiness and consent are built, not because deliberateness is a virtue in itself; where readiness and consent can be secured quickly, calm smart mobility can move quickly too.

3.1.3. Future-Readiness

The third pillar concerns the capacity of a mobility system to absorb and adapt to technological and contextual change without being locked into rigid, soon-to-be-obsolete configurations. It is grounded in the literature on decision-making under deep uncertainty, and in dynamic adaptive policy pathways, which design policies as sequences of actions with explicit signposts and pre-planned adaptations rather than as fixed end-states [46,47]. For mobility, Future-Readiness prescribes open data standards and interoperability, scenario-based preparation for automation and autonomous vehicles, adaptive and contingency-based financing, and the preservation of reversibility and recyclability of infrastructure. Its target failure is the fixation of scarce capital in inflexible assets, such as charging configurations, proprietary platforms, or single-purpose infrastructure, procured under project-based logics that build capacity for today’s technology while foreclosing tomorrow’s. Future-Readiness is therefore distinct from techno-optimism: it counsels preparation for technological change while remaining alert to automation-solutionism, the recurring expectation that autonomous vehicles will resolve problems that are social and political as much as technical [12].

3.2. Mapping the Pillars onto the Recurring Challenges of Smart Mobility

The four recurring challenges identified in the antecedent synthesis [17], Policy Layering, Affective Mismatch, Governance Silos, and the Future-Readiness Gap, are not independent defects but symptoms of identifiable systemic drivers, and each pillar is calibrated to a specific driver–challenges pairing (Table 2, Figure 2). Policy Layering, in which successive measures accumulate without prior ones being adapted or retired, is driven by short electoral cycles that reward visible “flagship” projects over coherent strategy; it is countered by Pacing–Sequencing–Inclusion, whose gates and sunset clauses substitute planned adaptation for accretion. Affective Mismatch, the divergence between technocratic policy narratives and residents lived experience, is driven by a technocratic governance culture that privileges data over dignity; it is countered by the benefits-and-alternatives framing and experiential sequencing of the second pillar, supported by the Comprehensiveness pillar’s epistemic integration of resident knowledge. Governance Silos, the fragmentation of transport, housing, digital, and fiscal functions across separate budgets and incentives, are driven by institutional path dependency; they are countered by Comprehensiveness, operationalized through open-innovation coordination structures and shared standards. The Future-Readiness Gap, finally, is driven by project-based funding cultures and is countered directly by the third pillar. The affective psychological layer is not confined to a single cell of this mapping: it cuts across all four pairings, which is precisely the dimension that calm technology (Section 2) brings into focus and that prior transition frameworks leave implicit. These driver-challenge-pillar pairings are meant to indicate the primary relationships, not the only ones. Each challenge has several drivers. Policy Layering, for instance, also reflects fragmented governance structures, shifting funding priorities, weak evaluation cultures, and institutional incentives, and Governance Silos arise just as much from regulatory fragmentation, separate budgets, competing agency objectives, and organizational culture. A single pillar can also bear on more than one challenge. Future-Readiness can help with Policy Layering through adaptive policy pathways, and the participatory processes within Pacing–Sequencing–Inclusion can help to ease Governance Silos. The mapping in the form of diagnostic matrix was presented in

Table 3. Diagnostic matrix—challenges of smart mobility, their systemic drivers, the corresponding CalmMobility pillar, and the calming mechanism.

Recurring Challenge	Systemic Driver	Pillar That Addresses It	Calming Mechanism
Policy Layering	Short electoral cycles; flagship-project incentives	Pacing–Sequencing–Inclusion	Go/adjust/stop gates, staged rollout, sunset clauses replace accretion with planned adaptation
Affective Mismatch	Technocratic governance; data prioritized over experience	Pacing–Sequencing–Inclusion + Comprehensiveness	Benefits-and-alternatives framing; experiential sequencing; epistemic integration of resident knowledge
Governance Silos	Institutional path dependency; separate budgets and KPIs	Comprehensiveness	Open-innovation and quadruple-helix coordination; shared data standards and participation minima
Future-Readiness Gap	Project-based funding; fixed-infrastructure logics	Future-Readiness	Open standards, interoperability, scenario planning, adaptive finance, reversibility

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Figure 3 brings these relationships together in a single view, showing how each pillar answers a specific challenge and how the affective psychological layer runs across all four pairings.

3.3. Using the Framework as an Analytical Lens

A framework gains analytical value when it can be applied consistently across cases. For the comparative purposes of this article, the three pillars are used as a descriptive analytical lens: a shared vocabulary for characterizing how different implementations were approached, along dimensions such as the provision of alternatives, the pace of introduction, the mode of decision-making, the degree of system embedding, and the adaptive or open orientation of the design. This choice is deliberate: the analysis is intended to characterize implementation approaches and their dynamics, not to rank cities or to judge the competence, intentions, or overall success of the administrations involved, many of which achieved important policy goals. Accordingly, no case is assigned a grade, score, or evaluative label. Instead, Section 5 reads each documented case against the framework’s dimensions in an even-handed way, recording what each approach did well as much as where it generated friction, and renders the comparison through three complementary, non-evaluative representations: a descriptive comparison table, a positioning map of approaches, and a schematic of adoption trajectories over time.

3.4. Theoretical Positioning

The contribution of the framework is clarified by specifying what it adds to the theories on which it draws. The multi-level perspective excels at mapping institutional scales and the structure of regime change but offers little guidance on temporal sequencing, on how to phase interventions so as to avoid Policy Layering and accumulate legitimacy over time [29]. Socio-technical transition research illuminates long-run system change yet remains comparatively silent on the micro-politics of implementation, including how residents experience fear, loss, and disruption during contested shifts such as the introduction of low-emission zones or superblocks. Mobility Justice supplies a robust normative compass, treating access as a right and calling for a fair distribution of burdens and benefits [16], but provides limited procedural means of translating that ethic into sequenced, co-created action. Calm smart mobility is positioned at the intersection of these gaps: it retains the scalar insight of the multi-level perspective, the system orientation of transition research, and the normative commitments of Mobility Justice, while contributing the time–affective dimension that all three leave implicit, namely how change is paced, how it is experienced, and by whom. In this sense the framework is offered not as another tool to add to the inventory, but as a coherent logic for orchestrating the tools that already exist.

4. Methodology

The article employs a theory-driven, qualitative multiple-case study based on documentary analysis [48]. The calm smart mobility framework developed in Section 3 functions as a descriptive analytical lens through which a set of documented smart mobility implementations is characterized; the logic is abductive, moving iteratively between the framework and the evidence rather than testing a closed hypothesis. The overall research workflow, from the literature review through to the findings, is summarized in Figure 4.

The aim is not statistical generalization but analytical generalization: assessing whether the framework’s dimensions illuminate why interventions of comparable technical merit diverge in legitimacy and durability. This is, by design, a conceptual and framework-building contribution: the cases illustrate and probe the framework’s plausibility, they do not validate it, and the testing of the central hypothesis (H1) is reserved for the empirical work. Cases were selected purposively against four criteria:

• The implementation is well documented in academic, official, or otherwise credible sources;
• It is a recognized smart or sustainable mobility intervention;
• The set exhibits maximum variation in instrument type, spanning spatial reorganization, economic (pricing/access), mass-transit investment, service-and-platform, and integrated data–platform interventions;
• The set spans a range of outcomes, from broadly accepted to contested, commercially failed, and abandoned. This maximum-variation design [49,50] guards against selecting only confirming cases; the cases were also chosen to span several world regions (Europe, Latin America, Asia, and North America) so as to illustrate the framework’s reach beyond a single institutional context, rather than to constitute a representative sample. Because the purpose of the study is illustrative rather than confirmatory, it was decided to give preference to well-documented and widely studied, and therefore often iconic, cases. The reason is that their dense evidentiary record makes the dimensions of the framework traceable, whereas more obscure interventions were considered but offered too thin a documentary basis for reliable characterization. Such cases also tend to fit the framework readily, and for that reason the analysis is presented as probing the framework rather than testing it. In addition, two of the cases sit at the edge of the smart city label and were included deliberately, in order to examine the reach of the framework across different instrument types. Bogotá’s Ciclovía predates the smart city discourse, and Seoul’s Cheonggyecheon is primarily a spatial and environmental intervention; nevertheless, both are treated throughout the sustainable- and smart mobility studies as reference points for citizen-centred mobility [51,52,53,54]. What is more, the scope of this article is explicitly smart and sustainable mobility, and not digital technology alone.

Seven implementations met the criteria: the Stockholm congestion charge (economic); the London Ultra Low Emission Zone expansion (economic/access); the Barcelona superblocks/Superilles (spatial); Bogotá’s TransMilenio bus rapid transit and Ciclovía (mass transit and active travel); Seoul’s Cheonggyecheon restoration and 2004 bus reform (spatial reconfiguration with transit reform); Helsinki’s Whim Mobility-as-a-Service (service-and-platform); and the Sidewalk Toronto Quayside project (integrated data–platform).

Evidence for each case was drawn from peer-reviewed studies, official municipal and agency documents and evaluations, and reputable contemporary reporting, with claims triangulated across source types wherever possible. Because the cases differ in how extensively they have been studied, the depth of available evidence varies; this is acknowledged as a limitation in Section 6.4.

Each case was characterized, not scored. Its documented record was read against the framework’s dimensions, namely provision of alternatives, pace of introduction, mode of decision-making, degree of system-embedding, and adaptive or open orientation, and they were rendered as neutral descriptors rather than grades or composite values. The characterization is deliberately even-handed: for every case, it records what the approach did well as much as where it generated friction. The five characterization dimensions and their descriptive anchors were presented in

Table 4. The five characterization dimensions and their descriptive anchors.

Dimension	Descriptive Anchors
Provision of alternatives	alternatives-first (a credible alternative is available and experienced before any restriction) ↔ restriction- or product-first
Pace of introduction	phased/trial-based ↔ single-step/abrupt
Mode of decision-making	co-created/iterative ↔ delivered/master-planned (top-down)
System embedding	system-embedded (integrated, coordinated with complementary measures) ↔ stand-alone/traffic-displacing
Adaptive/open orientation	open/adaptive (open standards, interoperability, reversibility) ↔ fixed/proprietary

. Cases are positioned descrip-tively between the poles; no numerical score is assigned.

Consistent with the reservation of the scored instrument for separate treatment (Section 3.3), no case is assigned a numerical rating or evaluative label. The five dimensions and their descriptive anchors are summarized in Table 3, and each characterization in Section 5 is accompanied by source-based justification, so that the reading of every case can be traced and reproduced.

To make these characterizations traceable, it was decided to follow a consistent qualitative coding protocol, using the descriptive anchors presented in Table 4 (below) as decision rules. A case was characterized as alternatives-first where the documented record shows that a credible alternative was available and experienced by residents before any restriction took effect, and as restriction- or product-first where this was not the case. In turn, a case was characterized as co-created where there is evidence of iterative resident involvement that demonstrably shaped the decision, in the sense of the higher rungs of Arnstein’s ladder of participation [20], and as delivered or top-down where involvement went no further than informing or consulting people after the key choices had already been made. Where sources disagreed, peer-reviewed studies and official evaluations were given greater weight than contemporary reporting, and a descriptor was assigned only where at least two independent sources were in agreement. Cases that combined features, such as a largely top-down instrument introduced through a reversible pilot, were treated as mixed and placed at intermediate positions.

Three limitations follow from the design. First, the characterization relies on secondary and retrospective sources rather than primary fieldwork, so it reflects the documented record rather than the direct measurement of residents’ experience. Second, the descriptors and positions are interpretive: although each is grounded in cited evidence, they were assigned by a single analyst, and independent dual coding would strengthen reliability, which is recommended for subsequent work. Third, the design supports analytical, not causal or statistical, inference; the patterns identified in Section 5 are interpretive associations, not demonstrated causation, and they concern implementation approaches rather than the merit of the cities or administrations involved. These constraints are appropriate to an exploratory study whose purpose is to assess the framework’s illuminative value.

5. Cross-Case Analysis

5.1. Case Characterizations

The seven analyzed case studies are presented in Figure 5 and described in detail below.

(1)

Stockholm congestion charge—Stockholm introduced its charge first as a seven-month trial in 2006 (3 January–31 July), followed by a referendum and permanent reintroduction in 2007. The expansion of public transport services preceded the trial, so that residents could experience a credible alternative before the charge became permanent [44]. Over the trial, traffic across the cordon fell by roughly 20–25%, and public opinion moved from majority opposition to majority support (about 53% voting to retain the charge in the September 2006 referendum) as the effects on travel time were directly experienced [44,50]. In the framework’s descriptive terms, the approach is characterized by alternatives-first provision, a phased and trial-based pace, and a decision legitimized through direct experience and a vote, an approach paired with transit investment rather than standing alone.

(2)

Bogotá TransMilenio and Ciclovía—Bogotá built its sustainable mobility reputation on provision rather than restriction. The TransMilenio bus rapid transit system, opened in 2000 (carrying roughly 800,000 passengers a day at first and over two million daily by the early 2010s, with first-year approval above 90%), supplied a high-capacity, pro-poor alternative to car travel, while the Ciclovía, which since 1974 has closed major streets to cars every Sunday (more than 120 km, drawing on the order of a million participants), embedded active travel in the city’s culture [51,52]. In the framework’s terms, the approach is strongly alternatives-first and, in the case of Ciclovía, co-created and gradually embedded over decades. Yet Bogotá also shows how provision erodes without sustained system embedding: very high initial approval fell as the BRT became overcrowded and underfunded and continued to coexist with an unreformed traditional-bus sector, and service grievances escalated into protests in 2008 and 2012 [51]. The case thus illustrates both the power of an alternatives-first posture and the fragility of any single instrument that is not maintained as part of a wider system.

(3)

Seoul Cheonggyecheon and bus reform—Seoul paired a bold spatial intervention with the prior provision of alternatives. Before and alongside the 2003–2005 removal of the elevated freeway over the Cheonggyecheon stream (which had carried some 168,000 vehicles a day), the city carried out a comprehensive 2004 bus reform that reorganized routes, added median bus-only corridors, and integrated fares and ticketing across bus and metro [53]. Because a credible transit alternative was already in place, removing a major road did not produce the gridlock many feared; congestion fell rather than rose, and the restored stream, drawing on the order of ninety thousand visitors a day, became a celebrated landmark [53]. Restoring roughly 5.8 km of stream cost about ₩386 billion (around US$281 million) over 2003–2005 [53,54]. Descriptively, the approach is alternatives-first and strongly system-embedded, though decision-making was largely led by the mayoralty; an initial pilot in the city’s north-east stalled against opposition from bus operators and resumed only after about a year of stakeholder negotiation (some 4200 meetings with affected merchants [53,54]), a reminder that even well-sequenced change involves contestation.

(4)

Barcelona superblocks—The Superilles programme pursued an ambitious spatial vision tested first in a Poblenou pilot (opened in September 2016, within an original vision of some 503 superblocks), which met visible protest before the model was iterated and extended, eventually toward the Eixample “green axes” (freeing roughly one street in three from through traffic, with a bus route retained through the Poblenou superblock at residents’ request) [55]. Descriptively, the approach is marked by a pilot-and-learn pace and participatory aims, alongside residents’ reported surprise at some street closures, recurring criticism that traffic was displaced to surrounding streets (a system-embedding tension the Comprehensiveness dimension highlights), and a loss of institutional momentum after the 2023 change in administration. It illustrates an iterative spatial approach whose continuity proved sensitive to the political cycle.

(5)

London ULEZ expansion—The London-wide expansion of the Ultra Low Emission Zone in August 2023 (on 29 August, extending the zone to about 1500 km² and some nine million residents, around five million newly included, at a daily charge of £12.50) achieved its core technical aims, with compliance reaching roughly 95% and favourable emission outcomes [56]. Descriptively, it was introduced across all boroughs in a single step, framed predominantly as a charge, accompanied by a £160 million scrappage scheme that many stakeholders judged too small and too late, and met with judicial review and sustained protest [57]. The approach is thus characterized by restriction-first sequencing and a top-down mode, situated within a longer air-quality strategy. The juxtaposition with Stockholm is the analysis’s most instructive observation: two economic/access instruments of comparable rationale followed very different legitimacy trajectories, distinguished by how they were sequenced and framed rather than by what they were.

(6)

Helsinki Whim (MaaS). Whim, the world’s first commercial Mobility-as-a-Service platform (founded in 2015), was a genuine pioneer that integrated multiple modes into a single subscription, but it did not achieve a sustainable business model, halting operations and entering bankruptcy in 2024 despite substantial investment (on the order of €149 million) [58]. Its founder’s retrospective that the venture tried to go “from zero to one in one step” describes, in the framework’s vocabulary, a rapid and unphased introduction; modal integration was a genuine strength, while coordination with public transport governance remained limited and the design proved financially non-resilient. Helsinki is a reminder that a difficult adoption trajectory need not take the form of street protest; here it appeared as commercial collapse and modest uptake (the Whim app had reached roughly 10,000 active monthly users [56]).

(7)

Sidewalk Toronto (Quayside). The Alphabet-affiliated smart-district proposal was technologically ambitious and widely discussed, conceived as a data-and-sensor-led master vision for the roughly 12-acre Quayside site; it nonetheless drew sustained privacy and governance controversy and limited civic buy-in, and the project was discontinued in 2020 (after about two and a half years of public controversy) [9]. Descriptively, it is characterized by a master-planned, technology-first approach with a largely top-down mode and a proprietary rather than open orientation. The latter matters because the Future-Readiness dimension values openness and interoperability over technological novelty as such.

The summary of the analyzed case studies are presented in

Table 5. Descriptive characterization of the seven cases along the framework’s dimensions.

Case	Provision of Alternatives	Pace of Introduction	Decision Mode	System Embedding	Documented Adoption Trajectory
Stockholm congestion charge	Transit expanded before the charge	Phased; trial then referendum	Legitimized by trial and vote	Paired with transit investment	Opposition → support
Bogotá TransMilenio + Ciclovía	Alternatives-first: BRT and cycling provision	Phased; BRT 2000, Ciclovía since 1974	Largely top-down (BRT); co-created (Ciclovía)	Strong, but BRT under-maintained vs. wider system	High approval → overcrowding protests (2008, 2012)
Seoul Cheonggyecheon + bus reform	Alternatives-first: bus reform before road removal	Sequenced; bus reform 2004, freeway removal 2005	Mayor-led; stakeholder negotiation after pilot stalled	Strongly embedded (bus + metro + spatial)	Feared gridlock → congestion fell; celebrated landmark
Barcelona superblocks	Partial; active-travel provision	Pilot-first, iterative	Participatory aims; pilot-based	Criticized for traffic displacement	Pilot friction → iteration → reduced political support
London ULEZ expansion	Limited up front; scrappage criticized	Single-step expansion	Top-down; contested consultation	Within longer air-quality strategy	High compliance alongside sustained contestation
Helsinki Whim (MaaS)	The service was itself the alternative	Rapid market launch, unphased	Platform/market-led	Limited transit-governance coordination	Modest uptake → commercial collapse
Sidewalk Toronto	Not the central issue	Master-planned proposal	Technology-led; limited civic input	Stand-alone district; proprietary	Controversy → discontinuation (2020)

. The table characterizes implementation approaches, not the merit, intentions, or overall success of the cities or administrations involved.

The same material is represented in two further non-evaluative views: a positioning map locating each approach by its provision of alternatives and its decision mode (Figure 6), and a schematic of how acceptance or adoption evolved over time (Figure 7).

The map presented in Figure 6 is descriptive and non-evaluative; positions characterize approaches, not the cities involved.

Figure 7 groups the documented adoption and acceptance dynamics into four qualitative narrative patterns; arc shapes are symbolic indicators of each pattern, not measured time series. The archetypes characterize implementation approaches and their dynamics, not the cities or administrations involved.

5.2. Cross-Case Patterns

Read across the three representations, several patterns emerge, stated here as interpretive associations about approaches rather than as verdicts on cities. First, the decision mode and the sequencing of alternatives appear more strongly associated with smooth adoption trajectories than the type of instrument: approaches positioned toward “alternatives-first” and “co-created/iterative” (Stockholm, Seoul, and the Ciclovía strand of Bogotá) tended toward durable acceptance, while restriction-first or master-planned, top-down approaches more often met contestation, modest uptake, or discontinuation. This is consistent with Proposition 1. Second, instrument type does not determine the trajectory: pricing appears among both the smoother (Stockholm) and the more contested (London ULEZ) approaches, which differ chiefly in how they were sequenced and framed. Third, technical or environmental success is analytically distinct from social legitimacy: the London ULEZ met its emissions objectives while remaining contested, so a difficult trajectory signals friction and rollback risk, not failure on the policy’s own terms. Fourth, system-embedding tensions, such as traffic displacement in Barcelona, the under-maintenance of Bogotá’s BRT relative to the wider bus sector, and limited governance coordination in Helsinki, can erode otherwise well-designed interventions. Fifth, experiential pilots, sequencing, and reversibility recur among the smoother cases (the Stockholm trial, the Barcelona pilot, Seoul’s provision of a transit alternative before removing road capacity), supporting Propositions 2 and 3.

It bears emphasis that this analysis characterizes implementation approaches and their dynamics; it does not assess the competence, motives, or overall achievement of the cities or administrations involved, several of which realized significant public benefits. Taken together, the cases are consistent with the article’s central claim: the felt experience and temporal organization of change, more than the sophistication of the instrument, shape the trajectory of smart city mobility transitions.

6. Discussion

6.1. What Do the Cases Reveal?

The cross-case characterization supports the article’s guiding claim and sharpens its theoretical contribution. Across seven interventions spanning economic, spatial, mass-transit, service, and platform types, the feature most consistently associated with smoother adoption trajectories was not the instrument chosen but the way change was sequenced, framed, and shared with residents. The pattern holds across world regions and across very different policy logics. Stockholm and Seoul, geographically and institutionally distant, share the same posture, credible alternatives in place before any restriction and decision points exposed to direct experience, and both produced durable acceptance. London ULEZ and Helsinki Whim, equally distant from one another in instrument and sector, share the opposite posture, single-step rollout without sufficient embedding, and both met serious legitimacy or commercial trouble despite their technical merits. The analysis suggests that the posture of implementation, rather than the instrument family, plays a decisive role in shaping legitimacy trajectories.

The Stockholm–London contrast deserves to be drawn out further, because it isolates posture from instrument with unusual precision. Both are economic-access measures motivated by air quality and congestion; both achieved their core technical aims. Stockholm sequenced a transit expansion ahead of the trial, exposed the charge to direct experience through a seven-month live test, and submitted the result to a referendum [44,50]. London expanded ULEZ across all boroughs in a single step, with a scrappage scheme widely judged inadequate, and the rollout met judicial review and sustained protests [56,57]. Same instrument family, comparable rationale, very different legitimacy trajectories: the difference reduces, descriptively, to alternatives-first sequencing and experiential trial. The Seoul case parallels Stockholm in a different policy domain, spatial rather than economic: the 2004 bus reform supplied a credible transit alternative before the elevated freeway came down [50], and the feared gridlock did not materialize [57]. Where the alternative is provided and experienced first, a measure that would otherwise read as imposition is absorbed as substitution.

The cases also clarify why the affective psychological layer cannot remain a “soft” addendum. The friction in the more contested cases did not track technical merit, since the London ULEZ met its emissions targets and Whim was a genuine pioneer, but tracked the experience of imposition, loss, and limited agency. Helsinki’s founder retrospectively described Whim as having attempted to go “from zero to one in one step” [58], a description that maps directly onto loud, attention-demanding deployment in the calm technology sense. Sidewalk Toronto is the limiting case: a sophisticated, technology-first vision that drew sustained privacy and governance controversy precisely because residents experienced it as something done to their neighbourhood rather than with them [9]. The framework’s distinctive move is to treat that experience as a first-order design variable, joining the what of Mobility Justice [16] to the how-it-feels of calm technology [18]. In doing so it addresses a gap left by the multi-level perspective and socio-technical transition research [29,34], which illuminate structure and long-run change but say comparatively little about the micro-politics and temporality of contested implementation.

Two further patterns warrant emphasis. First, technical or environmental success is analytically distinct from social legitimacy: the London ULEZ met its emissions objectives while remaining contested, so a difficult trajectory signals friction and rollback risk rather than failure on the policy’s own terms. Second, alternatives-first provision is necessary but not sufficient. Bogotá supplied a high-capacity BRT alternative from the outset and was internationally celebrated for it, with initial approval above ninety percent [51]. Yet provision eroded when the BRT was not maintained in step with the wider bus sector, and service grievances escalated into protests in 2008 and 2012 [51]. The Ciclovía operates as the implicit counterpoint within the same city: a co-created, gradually embedded practice that has remained politically durable for half a century [52] and demonstrates what continuity of co-creation can sustain [59]. The two strands together suggest that the calm posture is not a one-time disposition but a continuing discipline of maintenance, framing, and renewal.

6.2. Calm Smart Mobility Within the Smart City Agenda

Critical smart city scholarship has, for the better part of two decades, diagnosed what goes wrong when urban transformation is driven by technological promise rather than civic process. Hollands [4] questioned what makes a smart city “smart” and warned against entrepreneurial, vendor-led framings. Kitchin [5] showed that real-time, data-driven urbanism embeds particular politics and interests rather than being neutral. Greenfield [6] argued that smart city visions often serve their suppliers more than their residents. Empirical work has supplied case after case in support of these critiques: Flynn [7] on how smart city initiatives reinforce social and spatial inequalities; Sengupta et al. [8] on benefits accruing to elites and platform providers; McCord and Becker [9] on Sidewalk Toronto’s marginalization of local perspectives; Park and Chung [10] on the “dark sides” of smart development. What this literature is rich in is diagnosis, an account of why technology-led smart city design fails residents. What it is comparatively thin in is positive design logic, a constructive specification of how the smart city domain should be governed instead. Calm smart mobility is offered as a contribution at exactly this point: not as another critique of techno-solutionism, but as a posture-based alternative that turns the critique into a programme.

The framework also engages directly with the smart city literature’s constructive strand. Caragliu, Del Bo and Nijkamp [21] defined the smart city as the conjunction of investments in human and social capital, traditional and modern infrastructure, and ICT, with sustainable economic growth and high quality of life as outcomes—a definition in which technology is one factor among several rather than the privileged one. Albino, Berardi and Dangelico [22] documented the field’s lack of a unified definition and the proliferation of competing frameworks, and Giffinger et al. [23] proposed the six-domain decomposition (smart economy, people, governance, mobility, environment, living) that has shaped much subsequent research. Yigitcanlar et al. [2] integrated these strands into a multidimensional account of smart city development. Calm smart mobility takes a clear position in this debate: it treats the mobility domain of the smart city as the test bed for whether the broader project can deliver on its quality-of-life promise. The recent work of Jonek-Kowalska and Wolniak [25,26] is particularly instructive here, because it shows that the relationship between smart city investments and residents’ quality of life is uneven, contested, and tied to concrete determinants rather than to technology adoption as such. The argument advanced in this article is consistent with that finding and specifies one mechanism behind it: how change is paced and posed.

Read against this body of work, the contribution of calm smart mobility is to specify what good smart city governance looks like in the mobility domain. Where Greenfield [6] and Kitchin [5] caution that smart city design typically privileges vendors, data, and optimization, calm smart mobility re-anchors the design problem in residents’ experience of change. Where Flynn [7] and Sengupta et al. [8] show that smart city initiatives can deepen inequality, the framework’s options-first sequencing and equity-oriented commitments provide a procedural counterweight, insisting that credible alternatives reach affected communities before restrictions are imposed. Where McCord and Becker [9] and Park and Chung [10] trace the erosion of democratic agency in smart-district designs, calm smart mobility treats co-creation as a substantive commitment rather than as a consultative ornament. The framework does not replace the substantive smart city critiques; it complements them by addressing the constructive question they leave open: given that technology-led smart city design has been shown to fail residents in mobility, what should replace it? Calm smart mobility’s answer is a posture, human-paced, alternatives-first, co-created, rather than another instrument.

What good governance means here can be stated in concrete, institutional terms, because the recurring challenges are driven as much by the way government is organized as by technology itself. So understood, the framework places several demands on institutions. First, it requires coordination across sectors, so that planning is not confined to a single agency and the side effects that separate budgets tend to ignore are actually taken into account; the open-innovation and quadruple-helix arrangements discussed earlier are one way of achieving this [35,36,37]. Second, it requires that go/adjust/stop gates and sunset clauses be used as governance instruments, so that continuing, modifying, or with-drawing a measure becomes a decision planned in advance rather than a political crisis. Third, it requires co-creation as a standing element of the process rather than a one-off consultation. Finally, it requires adaptive, contingency-based financing instead of funding tied to individual projects. Each of these demands speaks directly to the three propositions. P1 locates resistance in the way a measure is implemented, which is itself a governance choice; P2 concerns the communicative and procedural posture of public authorities; and P3 makes co-creation and Living Labs the means through which change is socially embedded. Much of this is, admittedly, already present in international best practice. The guidance on Sustainable Urban Mobility Plans, for example, routinely calls for needs analysis, community involvement and co-production, the appraisal of options on economic, social, and environmental grounds, future-proofing, business cases, and whole-of-government decision-making [58]. The contribution of calm smart mobility is not to claim these elements as new, but to supply the organizing logic that decides when, and in what order, they are used. It treats the felt experience and the timing of change, and the institutional readiness to pause or reverse, as governance questions in their own right rather than as matters of implementation detail.

This repositions, finally, the criteria by which smart city mobility transitions might be evaluated. The conventional smart city evaluation grammar, efficiency, optimization, data integration, sensor coverage, is well developed but does not capture whether a transition is experienced as legitimate by the people it transforms. The cases analyzed here suggest that legitimacy and durability are not by-products of well-designed instruments; they are constructed, or not, through how those instruments are introduced. For a smart city research agenda this implies adding two often implicit criteria to the evaluation grammar: the experienced posture of change, and the trajectory of acceptance over time. Both can be made tractable through the descriptive dimensions developed in Section 4. The contribution of calm smart mobility is to make these criteria explicit and articulated, and so to give the smart city domain of mobility a vocabulary for what good governance feels like, not only for what it counts.

6.3. Implications for Policy and Smart City Practice

For practice, the analysis points away from the question “which technology?” and toward “at what pace, in what sequence, and with whom?” Several design orientations recur among the smoother trajectories: providing a credible, experienced alternative before imposing a restriction; introducing change through bounded, reversible pilots with pre-announced review points; framing measures around benefits and agency rather than prohibition; treating co-creation as shaping the how of change rather than ratifying decisions already taken; and recognizing that the calm choice is sometimes not to intervene at all. These orientations are stated as principles rather than prescriptions for any particular city. The intent is not to slow climate-relevant action, since pacing is not delay, but to sequence it so that it accumulates legitimacy rather than backlash, and so endures across political cycles.

6.4. Limitations

Several limitations qualify these claims. The study is conceptual and exploratory: the framework is argued and illustrated rather than tested against primary data, and the case characterization rests on secondary, retrospective sources read by a single analyst, so its descriptors are interpretive and would benefit from independent coding. The design supports analytical, not causal, inference. The case set now spans four world regions (Europe, Latin America, Asia, and North America), which strengthens its illustrative reach; it nonetheless remains weighted toward cities with relatively high state capacity, and a systematic test of how calm smart mobility transfers to lower-capacity or highly informal transport contexts remains an aim of future work. Finally, the affective dimension central to the argument is inferred from documented responses and not measured directly. Where it can, the reading leans on the empirical literature on public acceptance, which ties approval to direct experience, perceived fairness, and trust [28]; even so, future work should measure these responses directly instead of inferring them from the documentary record.

7. Conclusions

This article set out to explain why smart city mobility interventions of comparable technical merit so often diverge in public legitimacy and durability, and to propose a corrective. It argues that the decisive factor is not the sophistication of the technology but the pace and posture of change, and it develops this argument by transposing Weiser and Brown’s concept of calm technology from human–device interaction to mobility governance. The resulting framework, calm smart mobility, integrates three pillars, Comprehensiveness, Pacing–Sequencing–Inclusion, and Future-Readiness, mapped onto four recurrent challenges of smart mobility (Policy Layering, Affective Mismatch, Governance Silos, and the Future-Readiness Gap), and was used as a descriptive analytical lens to characterize seven documented implementations across economic, spatial, mass-transit, service, and platform interventions and four world regions.

The characterization yielded a consistent observation. The provision of alternatives, the sequencing and pace of change, the framing of measures, and the genuineness of co-creation were more closely associated with smoother adoption trajectories than the type of instrument deployed. The article’s contribution is therefore threefold: it names and systematizes the options-first, human-paced principle of the CalmMobility paradigm, giving it a clear conceptual antecedent in calm technology; it foregrounds the affective–temporal dimension that the multi-level perspective, transition research, and Mobility Justice leave implicit; and it offers a descriptive lens through which transitions can be characterized without being reduced to rankings. When read against the three guiding propositions, the cases are consistent with P1, in that resistance tracked the pace and mode of implementation rather than the technology itself. They also lend plausibility to P2, in that the principles of calm technology could be expressed coherently as a posture for mobility governance. Finally, they support P3, in that co-creation, where it was present, was the mechanism through which the pacing and the provision of alternatives were calibrated to residents’ needs. As a conceptual contribution, the article does not claim empirical validation; it distils its argument into a testable central hypothesis (H1) and an agenda for examining it. Of the framework’s commitments, co-creation proves the linchpin. It is the mechanism through which pace, sequencing, and the provision of alternatives are calibrated to what residents actually need, and, equally, through which a city discovers when an intervention should be scaled back or not pursued at all. Calm smart mobility is thus less a prescription to act differently than a discipline for deciding, with residents, whether and how to act.

The central message for research and practice is succinct. Smart city mobility does not suffer primarily from a shortage of technology, instruments, or ambition; it suffers from change that arrives too fast, too loudly, and with too little regard for how it is experienced. A calmer posture, one in which innovation enters everyday life gradually and legibly, offers alternatives before it imposes constraints, and treats residents as co-authors, not subjects, shapes whether a transition is absorbed or resisted more than the merits of any single tool. The task ahead is less to invent new instruments than to orchestrate the existing ones at a human pace.