The invisible gap in Future Moblity
How devices, payments, data, identity systems, and algorithms are reshaping who can move and what cities, operators, technology companies, and investors can do about it.

The new mobility divide
Two people leave their homes in the same neighbourhood, heading toward the same part of the city. They live near the same station and can see the same buses passing through their streets. On a transport map, their mobility options appear almost identical. Their actual ability to use them may be entirely different.
One person opens an app, compares routes, receives live updates, pays through a digital wallet, and books the final part of the journey. When a disruption occurs, the platform immediately suggests an alternative. The second person may have limited mobile data, an older device, no compatible payment method or difficulty navigating several disconnected applications. A delayed service or unexpected fare can turn a manageable journey into a missed appointment, a lost workday or an opportunity that is no longer reachable.
This difference reveals an emerging mobility divide. Routes, vehicles, and stations remain fundamental, while access increasingly depends on a second layer composed of devices, payments, data, identity systems, and algorithms. These interfaces influence which services people can discover, which journeys they can afford, and how effectively they can respond when conditions change.
The interface is becoming part of the infrastructure. It is also becoming an allocation layer: one that influences which journeys are visible, viable, and worth serving.
Why access is becoming an interface
Three developments are converging across urban mobility.
1. Transactions are becoming digital
Ticketing, fare calculation, reservations, vehicle access, and customer support are increasingly coordinated through cards, applications, and digital accounts. In London, contactless cards and mobile devices represented 69% of fare-paying tickets reported by Transport for London, while Oyster pay-as-you-go accounted for a further 20%.
2. AI is entering transport operations
Predictive analytics and automated systems can support demand forecasting, network planning, disruption management, and personalised services. The International Transport Forum’s 2025 guidance also identifies algorithmic bias, privacy, governance, and institutional readiness as material considerations when these systems influence public mobility.
3. Journeys are becoming multimodal
Travellers increasingly combine public transport, shared mobility, walking, cycling, and demand-responsive services. Each connection makes interoperability more valuable and increases the consequences of fragmented information, payments or service rules.
These developments are being deployed across highly unequal starting conditions. UN-Habitat reports that approximately 2.6 billion people remained offline in 2023. The World Bank estimates that only half of the global population has access to public transport and that, in many developing-world cities, less than half of all jobs can be reached within a one-hour commute.
Digital mobility is therefore being layered onto existing differences in infrastructure, income, connectivity, time, and physical accessibility. The strategic challenge is to ensure that the interface expands the usefulness of transport instead of becoming an additional condition people must overcome.
The Activae mobility access stack
A journey becomes possible through several interdependent layers. Evaluating mobility through a single metric, such as travel time or passenger volume, can conceal where access is gained or lost.
The Activae mobility access stack examines the complete path between a person’s intention to move and their ability to arrive.
|
What it enables | Common point of failure | Strategic opportunity | |
|---|---|---|---|---|
| Entry | Discovering and entering a mobility service | Device limitations, low connectivity, inaccessible interfaces or identity requirements | Low-bandwidth access, accessible design, multilingual information, and alternative entry channels. | |
| Transaction | Paying for and validating the journey | Incompatible payment methods, fragmented fares, insufficient balance or account dependency | Open-loop payments, integrated fares, physical cards, and automatic fare optimisation. | |
| Coordination | Combining modes and completing transfers | Disconnected schedules, operators, data standards, and ticketing systems | Shared APIs, multimodal planning, integrated ticketing, and common data infrastructure. | |
| Representation | Making travel demand visible to planners and algorithms | Underrepresentation of cash journeys, informal transport, off-peak movement or irregular routes | Mixed data sources, direct user input, representative datasets, and continuous model evaluation. | |
| Adaptation | Preserving access when conditions change | Limited alternatives during delays, weather events, capacity constraints or network failures | Dynamic routing, coordinated transfers, predictive operations, and automatic journey recovery. |
The stack distinguishes the availability of transport from its practical usability. A service can exist at the physical layer and remain inaccessible because registration fails, the fare cannot be paid, a transfer is poorly coordinated or the traveller receives no viable alternative during disruption.
It also clarifies who shapes access. Public authorities define standards and procurement conditions. Operators control service delivery and customer experience. Payment providers influence transaction compatibility. Technology companies mediate discovery, routing, and data interpretation. Investors determine which models receive the capital required to scale.
Where optimisation misreads demand
Mobility networks are easier to organise when demand follows recognisable patterns. A recurring journey from home to a central workplace provides a clear origin, destination, and schedule. It generates consistent data and can be served through fixed routes designed around peak hours.
Daily life often follows a different geometry. Caregivers connect schools, workplaces, healthcare facilities, shops, and homes within the same journey. Shift workers travel when services operate at lower frequencies. People in informal employment may change destinations regularly. Travellers with disabilities may select longer routes because they provide more reliable physical access.
World Bank research shows that women frequently make shorter journeys with more stops, combining paid work with caregiving and household responsibilities. These chained trips are especially sensitive to waiting times, transfer costs, and service frequency because one failure can affect every destination that follows.
These movements can become less visible when planning relies heavily on repeated commutes, digital transactions or high-volume corridors. A dataset may accurately describe recorded demand while offering an incomplete view of the opportunities people are trying to reach.
This distinction becomes increasingly important as AI supports service allocation and demand forecasting. When historical visibility influences future provision, irregular journeys can receive fewer resources because they appear inconsistent or commercially weak. The resulting service then generates less usage data, reinforcing the original assumption.
From a Motility perspective, irregularity is information. It reveals where people are adapting to limited options, combining responsibilities or creating their own connections across fragmented services.
Mobility access by design
A practical response to the new mobility divide is to treat access as a capability that must be intentionally designed across the complete journey. This approach can be described as Mobility access by design.
At its centre is a shared access layer connecting transport operators, payment providers, journey-planning services, public authorities, and travellers. This layer allows existing mobility services to exchange information, coordinate transactions, and respond collectively when a journey changes. Travellers can enter through different channels while receiving a consistent view of routes, costs, accessibility conditions, and alternatives.
The objective extends beyond creating a single mobility application. The access layer establishes the technical and operational conditions that allow multiple interfaces, operators, and transport modes to function as one navigable network.

1. Build a common journey graph
Route availability, schedules, fares, accessibility information, vehicle capacity, disruptions, and transfer conditions should be structured so they can be interpreted across operators. A delayed bus could trigger a protected rail transfer, an alternative feeder service or a revised fare before the traveller loses access to the destination. Open standards and APIs provide the technical foundation, while cities and operators establish the rules governing data quality, availability, privacy, and responsibility.
2. Create multiple entry points into the same network
A connected mobility network should remain accessible through different combinations of devices, payment tools, and assistance levels. Smartphone applications, contactless bank cards, reloadable mobility cards, low-bandwidth services, cash top-up points, accessible kiosks, and assisted booking can all connect to the same underlying journey and fare infrastructure.
Expanding the number of entry points allows digital coordination to grow without making one device, account or payment method the universal requirement for movement.
3. Protect the continuity of the journey
Mobility platforms currently provide information about disruptions. Mobility Access by Design goes further by coordinating the response. A continuity engine can identify how a disruption affects the complete journey, suggest alternatives based on time, cost, safety, and accessibility, preserve transfer rights, apply fare protection, reserve capacity, and initiate automatic corrections or refunds.
This changes the role of the interface. It becomes an active mechanism for protecting access instead of a passive channel for displaying information.
4. Make irregular demand visible
The access layer should combine operational data with sources that reveal journeys poorly represented in digital transactions. These may include anonymised ticketing and vehicle data, travel surveys, information from informal operators, accessibility audits, and direct input from travellers and communities.
AI can then identify recurring needs hidden within apparently irregular movement. Chained care journeys, off-peak work trips, changing employment locations, and travel across peripheral areas may each represent predictable demand when analysed through the appropriate context.
5. Measure access as an outcome
The effectiveness of the model should be measured through what the mobility network enables. Traditional performance indicators remain valuable and can be accompanied by access-based metrics.
| Operational metric | Access-based complement |
|---|---|
| Passenger volume | Number of jobs and services placed within reach |
| Average travel time | Percentage of essential journeys completed within an acceptable time |
| Vehicle utilisation | Utilisation across underserved hours and locations |
| Service reliability | Journey-completion and disruption-recovery rates |
| Digital adoption | Successful access across all available channels |
| Revenue | Affordability, fare predictability, and avoided passenger costs |
How the model can be deployed
Discover. Cities and operators map essential journey chains, identify where users abandon or fail to complete them, and determine which layer of the Mobility Access Stack creates the friction.
Connect. Operators align data standards, payment mechanisms, service information, and transfer rules around selected corridors or user journeys. A focused deployment can begin with an employment district, hospital network, university corridor or peripheral community.
Adapt. Predictive systems, demand-responsive services, and journey-recovery tools are introduced once the underlying information and coordination mechanisms are reliable. Performance is assessed through operational and access-based outcomes.
This phased approach creates space for pilots, measurable learning, and gradual integration with existing infrastructure.
Who creates the solution
Public authorities define accessibility objectives, procurement conditions, and minimum interoperability requirements. Transport operators provide operational data and coordinate service rules. Technology companies develop routing, payment, prediction, and user-interface capabilities. Financial institutions support compatible transactions, while investors provide capital to scale technologies that demonstrate defensibility and measurable access expansion.
The opportunity for mobility ventures exists within each layer: accessible interfaces, fare infrastructure, routing engines, representative mobility intelligence, demand-responsive operations, and continuity management. Their commercial potential depends on solving a clearly defined friction while integrating successfully with the wider network.
When the interface expands access
Digitalisation can widen access when it reduces the number of decisions, transactions, and transfers a traveller must manage independently.
London: reducing transaction and information friction
Contactless payments operate across buses, the Underground, trams, the Elizabeth line, London Overground, and much of the National Rail network. Transport for London also releases operational data for external developers to build journey-planning and information services.
This model reduces ticketing friction and allows multiple services to operate through a more consistent interface. It also demonstrates why the design of that interface matters. TfL publishes data on incomplete contactless journeys, maximum fares, automatic corrections, and customer refunds, showing how a missed interaction at the payment layer can create a financial consequence even when the physical journey has been completed.
Bogota: combining physical capacity with measurable access
Bogota demonstrates a complementary lesson: digital coordination still depends on physical capacity and well-designed connections. The city’s Metro Line 1 is expected to reduce end-to-end travel time along its corridor from approximately 90 minutes to 27 minutes. Ten stations will connect directly with the TransMilenio BRT network, potentially placing 1.6 million jobs within a one-hour commute.
The project will measure job accessibility, travel-time savings, user satisfaction, and environmental performance, with results disaggregated by gender and income. It demonstrates how mobility investment can be assessed through the opportunities placed within reach alongside operational performance.
Infrastructure provides capacity and geographic reach. The interface determines how effectively travellers can enter, combine, and adapt the available services.
Strategic implications for builders and capital
Access is a commercial and deployment variable. Technologies that make more journeys viable can increase the addressable market, improve asset utilisation across different hours and locations, strengthen operator relationships, and create measurable value for cities.
| Decision area | Strategic question | Evidence to examine |
|---|---|---|
| Access expansion | Which previously difficult journeys or destinations become viable? | Reachable jobs and services, travel-time savings, affordability, and journey completion |
| Dependency load | What must a traveller own, understand or disclose? | Onboarding abandonment, payment coverage, connectivity requirements, and alternative channels |
| Integration burden | Which operators, systems, and institutions must participate? | Deployment time, API availability, procurement cycles, approvals, and partner economics |
| Technical defensibility | Which capability remains difficult to reproduce? | Routing, prediction accuracy, data advantages, reliability, interoperability, and switching costs |
| Adaptability | How does the solution perform when normal conditions change? | Rerouting success, recovery time, continuity, and disruption performance |
| Commercial alignment | Who pays, who benefits, and how is value captured? | Utilisation, operating savings, take rates, public outcomes, and contract structure |
This lens distinguishes an attractive interface from a defensible mobility company. User experience may accelerate adoption, while sustained differentiation often depends on integration depth, operational reliability, unique data, regulatory capability or technology that improves decisions under complex conditions.
The strongest mobility ventures will demonstrate three forms of value simultaneously: a technically differentiated capability, a credible path through fragmented deployment environments, and measurable expansion of the opportunities users can reach.
For cities and operators, the same framework can improve procurement. Buyers can define the accessibility outcome, identify the affected layer of the stack, and establish how performance will be measured before deployment.
The future of mobility should be measured by the opportunities it brings within reach.
References
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International Transport Forum. AI for Transport Authorities: Principles and Practical Guidance. 2025.
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International Transport Forum. Delivering Accessibility that Works. 2026.
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OECD. Transport Bridging Divides. 2020.
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UN-Habitat. People-Centred Smart Cities Programme.
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World Bank. Transport: Investing in Access, Resilience, and Opportunity.
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World Bank. Constraints to Women’s Use of Public Transport in Developing Countries. 2022.
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World Bank. Support to the Bogota Metro Line 1 Project – Series 2. 2025.
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Transport for London. Contactless Payment Statistics; Open Data; Customer Service and Operational Performance Report.

