Smart Mobility and Sustainable Transport Training Course

Participants can establish a decision-ready mobility baseline and indicator set.

• Trip purpose, mode share, occupancy and vehicle-kilometre baseline metrics
• Origin-destination data sources: surveys, ticketing, mobile data and sensors
• Fleet utilisation analysis using mileage, dwell time, payload and idling
• Collision and near-miss data classified by road user and severity
• Data quality checks for completeness, representativeness, timeliness and bias
• KPI trees linking interventions to operational, environmental and equity outcomes

Participants can quantify transport emissions and compare intervention lifecycle effects.

• GHG Protocol Scope 1, 2 and 3 transport emissions categories
• ISO 14083 boundaries for freight transport chain emissions reporting
• Well-to-wheel and tank-to-wheel emissions comparison for vehicle technologies
• Lifecycle assessment stages: materials, manufacture, use and end-of-life
• Emission factors selected by fuel, electricity mix, vehicle class and geography
• Marginal emissions analysis for mode shift and avoided travel measures

Participants can structure a mobility plan that integrates land use, access and decarbonisation.

• Sustainable Urban Mobility Plan stages from diagnosis through monitoring
• Land-use and transport integration using accessibility-based planning principles
• Complete Streets design balancing walking, cycling, transit, freight and vehicles
• Parking management instruments: pricing, supply controls, permits and enforcement
• Low-emission zones designed with exemption, compliance and equity provisions
• Stakeholder mapping for residents, operators, employers, freight and regulators

Participants can select demand-management measures matched to travel behaviour and constraints.

• Travel demand segmentation by purpose, frequency, flexibility and user group
• Mobility budgets, parking cash-out and commuter benefit programme design
• Congestion charging mechanisms, pricing structures and distributional impact assessment
• Employer travel plans covering commuting, business travel and shift patterns
• Behavioural insights applied through prompts, defaults, incentives and feedback
• Before-and-after evaluation designs for demand management interventions

Participants can design integrated mobility measures that improve low-carbon access.

• First-mile and last-mile barriers identified through passenger journey mapping
• Service integration across buses, rail, shared mobility and active travel
• Generalised travel cost combining fare, time, reliability and interchange
• Bus priority measures: lanes, signal priority, queue jumps and enforcement
• Active travel network assessment using connectivity, directness, comfort and safety
• Universal design requirements for mobility hubs, stops and passenger information

Participants can prepare an evidence-based electric vehicle transition strategy for fleets.

• Vehicle suitability screening using duty cycle, range, payload and dwell
• Total cost of ownership comparing purchase, energy, maintenance and residual value
• Battery performance factors: state-of-charge, degradation, temperature and charging rate
• Depot charging load profiles built from vehicle schedules and connection capacity
• Charging strategy choices: overnight, opportunity, workplace, public and destination
• Fleet transition sequencing aligned with replacement cycles and operational risk

Participants can specify charging infrastructure requirements and grid coordination actions.

• Charging power standards: AC, DC, CCS, CHAdeMO and pantograph systems
• Site assessment covering electrical capacity, civil works, access and circulation
• Managed charging controls responding to tariffs, demand limits and schedules
• Load management methods: static allocation, dynamic balancing and smart charging
• Renewable generation and battery storage assessed against site demand profiles
• Interconnection planning with utilities, landlords, operators and emergency services

Participants can define intelligent transport system functions for corridor performance goals.

• ITS architecture linking roadside equipment, control centres, vehicles and users
• Adaptive signal control using detector data, timing plans and priority rules
• Variable message signs governed by incident, weather and congestion protocols
• Traffic management centre functions: monitoring, coordination, response and reporting
• Digital twins used to test corridor operations before physical deployment
• Interoperability requirements for interfaces, message formats, ownership and maintenance

Participants can assess connected vehicle services, communication choices and deployment dependencies.

• Vehicle-to-everything communications: V2V, V2I, V2P and V2N services
• Cooperative ITS use cases for collision warnings and signal priority
• Message sets, latency, coverage and reliability requirements by use case
• Roadside unit placement based on geometry, power, backhaul and maintenance
• Cellular V2X and dedicated short-range communications deployment considerations
• Interoperability testing between vehicles, roadside infrastructure and control platforms

Participants can classify automated driving applications and define their operational boundaries.

• SAE J3016 levels distinguishing driver assistance from driving automation
• Operational design domain parameters: roads, weather, speed, lighting and traffic
• Use cases for shuttles, freight yards, ports, campuses and fixed routes
• Fallback strategies addressing remote assistance, minimal risk manoeuvres and recovery
• Human-machine interface requirements for handover, supervision and driver readiness
• Readiness assessments covering infrastructure, regulation, operations and public acceptance

Participants can develop safety controls for technology-enabled transport services.

• Safe System approach assigning responsibility across roads, vehicles and users
• Hazard identification using HAZID workshops, fault trees and scenario analysis
• Safety cases structured through claims, evidence, assumptions and rebuttals
• ISO 26262 functional safety concepts for vehicle electrical and electronic systems
• SOTIF considerations for performance limitations, perception errors and foreseeable misuse
• Human factors analysis addressing workload, trust, distraction and situational awareness

Participants can establish proportionate data governance and cyber controls for mobility services.

• Data inventory mapping personal, operational, geospatial and vehicle-generated data
• Privacy impact assessments covering collection, purpose, retention and sharing
• Threat modelling with assets, adversaries, attack paths and mitigations
• ISO/SAE 21434 cybersecurity activities across vehicle development and operations
• Zero-trust access controls for devices, users, applications and data services
• Incident response playbooks for ransomware, spoofing, data breach and outage

Participants can assess platform-based mobility services for user value and public objectives.

• Mobility-as-a-Service models combining trip planning, booking, payment and support
• Platform governance defining roles for authorities, operators, intermediaries and users
• Open APIs and data standards supporting multimodal service integration
• Fare integration options: capping, subscriptions, bundles and account-based ticketing
• Digital inclusion measures for unbanked users, disabilities and limited connectivity
• Platform performance metrics covering adoption, reliability, access and emissions

Participants can identify smart freight measures that reduce urban logistics impacts.

• Freight demand mapping by commodity, vehicle type, delivery pattern and zone
• Route optimisation using constraints for time windows, capacity and emissions
• Consolidation centre business models for dense urban delivery areas
• Microhubs and cargo bikes assessed for parcel density and service radius
• Delivery time management through booking systems, curfews and loading zones
• Freight emissions reporting using tonne-kilometres, load factor and fuel data

Participants can prepare investment cases for smart mobility options under uncertainty.

• Theory of change linking inputs, activities, outputs, outcomes and impacts
• Benefit-cost analysis including travel time, safety, emissions and health benefits
• Discounted cash flow calculations using capital costs, operating costs and residuals
• Sensitivity analysis for energy prices, uptake, utilisation and technology costs
• Real-options thinking applied to phased pilots, scaling decisions and exit points
• Funding models: public grants, concessions, service contracts and user charges

Participants can create procurement and partnership structures suited to smart mobility delivery.

• Make-buy-partner analysis for technology, operations, maintenance and data services
• Outcome-based specifications defining service levels, availability and user results
• Request-for-proposal evaluation criteria covering technical, commercial and sustainability performance
• Vendor due diligence covering financial viability, references, security and interoperability
• Data ownership clauses addressing access, portability, retention and secondary use
• Service transition plans covering testing, acceptance, training and operational handover

Participants can sequence delivery activities, governance decisions and stakeholder engagement.

• Roadmap sequencing from discovery, pilot, evaluation, scale-up and steady-state operations
• Stage-gate governance with decision criteria, evidence requirements and accountabilities
• RACI matrices for sponsors, operators, technology teams, regulators and communities
• Pilot design defining hypotheses, success thresholds, duration and comparison groups
• Change impact assessment for staff roles, processes, skills and labour relations
• Communications plans addressing benefits, limitations, complaints and public trust

Participants can establish a monitoring framework that supports accountable programme improvement.

• Performance dashboards combining service, safety, emissions, equity and financial indicators
• Baseline-and-target setting using trends, benchmarks, policy commitments and capacity
• Evaluation methods: before-after studies, control groups and contribution analysis
• Equity monitoring by income, gender, age, disability and location
• Operational reviews using incident trends, service failures and user feedback
• Benefits realisation registers assigning owners, evidence sources and review dates

Participants can build, review and present a complete smart mobility implementation package for a defined transport challenge.

• Select a priority mobility problem using baseline evidence and stakeholder needs
• Define intervention portfolio spanning demand, infrastructure, vehicles, data and services
• Produce emissions, safety, accessibility and financial impact assumptions
• Specify operating model, procurement route, governance structure and partner roles
• Build phased roadmap with milestones, dependencies, risks and decision gates
• Present implementation package for peer review and sponsor-level decision making