From BRT to Multimodality: A Cost-Efficiency Comparison of Public Transport Systems in Curitiba and Lisbon
Abstract
1. Introduction
1.1. Background to the Problem and Structure of the Article
1.2. The Curitiba Paradox
1.3. Lisbon’s Transformation
1.4. Research Hypothesis and Objectives
2. Theoretical Framework
2.1. Public Transport as Public Policy and Social Infrastructure
2.2. The BRT Model and Its Innovation, Diffusion, and Limitations
2.3. Multimodality and System Integration
2.4. Governance, Institutions, and Path Dependence
2.5. Cost-Efficiency, Fare Policy, and Subsidy Economics
3. Methodology
3.1. Research Design and Epistemological Approach
3.2. Sources and Indicators Used
3.3. Analytical Framework and Indicator Operationalization
3.3.1. Operational Definition of Cost-Efficiency
3.3.2. Complementary Structural Indicators
- -
- Modal Diversity Index (MDI)
- i.
- Metro;
- ii.
- Suburban rail;
- iii.
- Bus;
- iv.
- Tram/Light Rail;
- v.
- Ferry.
- -
- Rail Backbone Presence Indicator (RBPI)
- -
- Fare Integration Indicator (FII)
3.3.3. Service Quality Indicators
- i.
- Infrastructure condition (categorized as modernized, transitional, or deteriorated);
- ii.
- Availability of real-time passenger information systems;
- iii.
- Accessibility infrastructure implementation;
- iv.
- User satisfaction indicators (when available).
3.3.4. Integrated Comparative Indicator Framework
3.3.5. Hypothesis Evaluation Strategy
- i.
- Comparison of Fare Burden Index values;
- ii.
- Comparison of Modal Diversity Index values;
- iii.
- Evaluation of Rail Backbone Presence;
- iv.
- Assessment of Fare Integration structures;
- v.
- Comparative analysis of service quality indicators.
3.3.6. Limitations in Economic Efficiency Metrics
3.4. Comparative Analysis Approach
3.5. Cross-Case Normalization and Comparability
3.5.1. Income-Based Normalization
3.5.2. Structural Normalization
- i.
- Modal Diversity Index (number of available transport modes);
- ii.
- Rail Backbone Presence Indicator;
- iii.
- Fare Integration Indicator.
3.5.3. Institutional and Policy Context Normalization
3.5.4. Temporal Alignment of Data
3.5.5. Limitations of Cross-Case Comparability
3.5.6. Controlling for Macroeconomic Context Differences
3.6. Distinction Between Empirical and Prospective Evidence
4. Case Study A—Curitiba
4.1. Historical Context and System Development
4.2. Governance and Institutional Structure
4.3. Network Structure and Modal Coverage
4.4. Financing and Fare Policy
4.5. Service Quality and User Experience
4.6. Current Challenges and Approved Future Developments
- i.
- Fleet Decarbonization. In alignment with the 2020 PlanClima, Curitiba has initiated a transition to electromobility budgeted at over R$1.5 billion (€262 million) [38]. The new concession mandates the introduction of 245 zero-emission electric buses in the first five years of operation [3]. The system is legally bound to achieve a 33% zero-emission fleet by 2030, culminating in the 100% eradication of operational fossil fuels by 2050 [33].
- ii.
- Modal Diversification. The planning dogma that confined Curitiba to rubber-on-asphalt monomodality has been challenged. The State Government’s commitment to pilot the Digital Rail Transit (DRT) technology demonstrates a pragmatic approach [34]. By adopting vehicles guided by virtual magnetic tracks (capable of transporting up to 280 passengers) the system aims to achieve capacity and comfort comparable to a Light Rail Transit (LRT) system, avoiding the costs associated with underground subway projects.
- iii.
- Metropolitan Governance. The challenge of municipal fragmentation is being addressed through the maturation of the Integrated Urban Development Plan (PDUI-RMC) led by AMEP, which provides legal foundations for master plans in the region [39]. Ensuring legislative continuity for the annual state subsidy package (currently R$216 million/€37.7 million) is crucial to guarantee borderless fare and route integration among 29 municipalities.
- iv.
- Financial Engineering. The city has bundled transport into the broader “PRO Curitiba” public works program, totalling R$6 billion (€1.05 billion) in planned municipal investments through 2028 [45]. To protect this transformation, the city must maintain fiscal governance to service active credit lines of over US$180 million from the IDB and NDB. Simultaneously, the BNDES’s gross cost remuneration model will require ongoing auditing to ensure the transfer of revenue risk does not overwhelm municipal solvency [45].
5. Case Study B—Lisbon
5.1. Historical Context and System Development
5.2. Governance and Institutional Structure
5.3. Network Structure and Modal Coverage
5.4. Financing and Fare Policy
5.5. Service Quality and User Experience
5.6. Recent Developments and Future Prospects
5.7. Demand Growth and Capacity Pressure Following Fare Reform
6. Comparative Analysis
6.1. Governance and Institutional Capacity
6.2. Network Structure and Modal Diversity
6.3. Financing and Fare Policy
6.4. Service Quality and User Experience
6.5. Integrated Cost-Efficiency Assessment
7. Discussion
7.1. Explaining the Differences: Contextual Factors
7.2. Analytical Implications for Urban Transport Policy
- i.
- Modal Diversity and Network Resilience. More modal diversity boosts structural flexibility and redundancy. The passenger demand in Lisbon is effectively met by multiple transport methods. Single-mode systems may struggle with capacity as demand rises. This shows that diverse modes enhance network resilience in cities.
- ii.
- Integration as a Determinant of System Usability. Fare integration and network design impact user access and usability. Unified fare systems simplify transactions and encourage multimodal travel. Both case studies link transfer integration to better system coherence. This showcases the significance of cooperative coordination among institutions in relation to user experience.
- iii.
- The Role of Public Subsidies in Affordability Outcomes. Subsidy levels affect the link between operational costs and user fares. Systems with more public funding impose lower costs on users, according to the Fare Burden Index. On the other hand, systems relying more on fares may lead to higher user costs. This highlights how financing affects user accessibility. However, as discussed in Section 5.7, rapid demand increases associated with fare reductions may generate short-term operational pressures, including peak congestion and maintenance demands, requiring coordinated capacity planning.
- iv.
- Long-Term Investment Cycles and Infrastructure. Performance Infrastructure quality is tied to consistent investment cycles. Systems with steady funding show better infrastructure upgrades and technology use. Breaks in financial backing can bring about old infrastructure and service-related challenges. This indicates that ongoing investment is crucial for operational success.
- v.
- Metropolitan Governance and Institutional Coordination. The way institutions are set up affects service coordination across boundaries. The administration of governance within metropolitan areas supports the integration of transport routes, fare regulations, and planning initiatives between local councils. Shifts in governance promote better alignment, showcasing that institutional changes are necessary for the evolution of transport.
- vi.
- Technology Adoption and Service Efficiency. Tech innovations like digital systems and updated fleets enhance service reliability and user info access. Both cases show a shift towards digital transport management systems. This indicates that adopting technology is increasingly important for public transport performance.
- vii.
- Accessibility and Universal Design Considerations. Improvements in accessibility and universal design enhance inclusivity for various demographic groups. Evidence shows that systems that prioritize accessibility in planning are more usable. The significance of ensuring accessibility in public transport planning is highlighted by these outcomes.
- viii.
- Institutional Path Dependence and System Evolution. The analysis shows how past investments and institutional setups affect future development paths. When transportation networks concentrate on just one type, they risk stagnation; however, those that embrace multiple types show greater flexibility. This bolsters arguments that accentuate the vital nature of path dependence in infrastructure advancement.
7.3. International and Intergovernmental Support as Enabling Factors
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A. Data Sources and Indicator Construction
| Indicator | Definition | Unit | Curitiba Source | Lisbon Source | Reference Year |
|---|---|---|---|---|---|
| Monthly Transport Cost | Estimated monthly cost for two daily trips | Local currency | URBS (2025, 2026) | [3] | 2024–2025 |
| Minimum Wage | Official national statutory minimum wage | Local currency | Brazilian Federal Government | Portuguese Government | 2025 |
| Fare Burden Index | Monthly transport cost divided by minimum wage | Ratio | Derived variable | Derived variable | 2025 |
| Modal Diversity | Number of available public transport modes | Count | URBS Reports | TML Reports | 2024–2025 |
| Rail Backbone Presence | Presence of metro or equivalent rail system | Binary (0/1) | URBS documentation | Metropolitano de Lisboa | 2024–2025 |
| Fare Integration | Existence of unified metropolitan fare system | Binary (0/1) | URBS/AMEP | TML/AML | 2024–2025 |
| Public Subsidy Share | Proportion of operational costs covered by subsidies | Percentage (%) | URBS Reports | TML Financial Reports | 2024–2025 |
| User Satisfaction | Reported overall user satisfaction level | Percentage (%) | [44] | TML surveys | 2024–2025 |
| Indicator | Formula/Method | Purpose |
|---|---|---|
| Fare Burden Index (FBI) | Monthly Transport Cost ÷ Minimum Wage | Measures affordability |
| Modal Diversity Index (MDI) | Count of operational modes | Measures structural flexibility |
| Rail Backbone Presence (RBPI) | 1 = rail exists, 0 = no rail | Measures high-capacity infrastructure availability |
| Fare Integration Indicator (FII) | 1 = unified fare exists, 0 = fragmented system | Measures integration level |
| Monthly Transport Cost | Fare × Trips per month | Standardizes usage assumptions |
- Standard Travel Assumption
- i.
- Two daily trips
- ii.
- 22 working days per month
- Data Harmonization Procedures
- i.
- Monetary values were interpreted within the national economic context and analyzed primarily using proportional indicators.
- ii.
- Where multiple data sources provided slightly different values for the same variable, official institutional reports were given priority over secondary sources.
- iii.
- Data relating to different reference periods were aligned with the analytical reference period of 2024–2025, wherever possible.
- iv.
- Where precise quantitative data were unavailable, structured and clearly documented qualitative classification methods were applied.
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| Source Type | Main Content | Indicators/Information Extracted | Geographical Scope | Time Period |
|---|---|---|---|---|
| Official documents and institutional reports | Annual reports, strategic plans, public policy documents, concession contracts, regulatory frameworks | Governance structures, operational models, institutional arrangements, investment strategies | Curitiba and Lisbon | 2015–2025 |
| Statistical and operational data | Ridership statistics, network characteristics, fleet data, operational performance, financial records | Passenger volumes, network length, number of routes and vehicles, service frequencies, fares, costs, subsidy levels | Curitiba and Lisbon | 2019–2025 |
| Academic and technical literature | Peer-reviewed journal articles, doctoral dissertations, master’s theses, technical studies | Critical analyses, theoretical frameworks, comparative assessments, structural limitations and best practices | International, with focus on both case studies | 2000–2025 |
| International organizations and specialized institutions | Reports from the World Bank, UITP, ITDP and other international bodies | Standardized indicators, international benchmarks, policy recommendations | International | 2010–2025 |
| Recent news and media coverage | News articles, official announcements, interviews, expert commentary | Recent system changes, reforms, institutional conflicts, public perception | Curitiba and Lisbon | 2024–2025 |
| Web-based and digital sources | Operator and authority websites, user information portals, journey planning tools, social media platforms | Up-to-date operational information, digital services, user feedback and public discourse | Curitiba and Lisbon | 2024–2025 |
| Analytical Dimension | Core Focus | Key Indicators/Variables | Type of Analysis |
|---|---|---|---|
| Governance and operational structures | Institutional organization and regulatory framework of public transport systems | Governance model, legal framework, regulatory authority, operator structure, contractual arrangements, metropolitan coordination, stakeholder participation | Qualitative, comparative |
| Network structure and modal coverage | Physical configuration and functional scope of the transport network | Modal diversity, network extension, service coverage, stop/station density, service frequency, operating hours, capacity and crowding levels | Quantitative and qualitative |
| Financing and fare policy | Economic structure and user cost burden | Revenue sources, subsidy levels, fare structure, pricing strategies, affordability (fare as % of income), discount schemes, financial sustainability | Quantitative, comparative |
| Service quality and user experience | Performance and perceived quality of transport services | Infrastructure condition, vehicle quality, technology adoption, accessibility, reliability, safety, punctuality, user satisfaction | Mixed-methods |
| Institution | Governance Level | Main Responsibilities | Role in System Integration |
|---|---|---|---|
| URBS (Urbanização de Curitiba S.A.) | Municipal (Mixed-Capital Company) | Management, tactical planning, oversight, and tariff regulation of the capital’s fleet and infrastructure. | Operational control of the RIT (Integrated Transport Network) within the municipality and management of the ticketing system. |
| IPPUC (Institute for Research and Urban Planning) | Municipal (Autarchy) | Long-term strategic planning, land use-transport integration, and development of structuring projects (e.g., Novo Inter 2). | Alignment of transport with urban zoning and decarbonization goals (PlanClima). |
| AMEP (Paraná Metropolitan Affairs Agency) | State/Metropolitan (Autarchy) | Coordination of metropolitan transport across 29 municipalities, development of the PDUI-RMC, and management of state subsidies. | Facilitation of physical and tariff integration across municipal borders; fund transfers. |
| BNDES (Brazilian Development Bank) | Federal (Financial Institution) | Technical-financial structuring of the new transport concession, risk modeling, and contract auditing. | Guaranteeing economic viability for the transition to electric (Zero Emission) fleets. |
| Private Operating Consortia | Private (Concessionaires) | Fleet operation, vehicle maintenance, and workforce hiring. | Direct execution of the service under quality metrics (SLA) required by the new contract. |
| Project Name | Financing Agency | Investment | Length (km) | Main Technological and Physical Upgrades |
|---|---|---|---|---|
| Novo Inter 2 Program | Inter-American Development Bank (IDB) | US$106.7 million | 38 km | Implementation of Solar Prism Stations (energy-autonomous, climate-controlled), concrete road requalification, and traffic light priority. |
| East–West BRT | New Development Bank (NDB) | US$75 million | 20 km | Reconstruction of intermodal terminals (e.g., Capão da Imbuia), 30% increase in service capacity, 23-min reduction in travel time. |
| Digital Rail Transit (DRT) | Government of the State of Paraná (AMEP) | R$6 million (Pilot Phase) | 10 km | 100% electric 30 m vehicle, guided by virtual magnetic sensors, capacity for 280 passengers, operating on the Pinhais–Piraquara metropolitan connection. |
| Institution | Governance Level | Mode(s) Managed | Core Responsibilities | Role in System Integration |
|---|---|---|---|---|
| Metropolitano de Lisboa, E.P.E. | National (state-owned) | Metro | Planning, construction, operation, and maintenance of the metro system | High-capacity backbone; key urban integration nodes |
| Carris—Companhia de Carris de Ferro de Lisboa, S.A. | Municipal (Lisbon City Council) | Buses, LRT and trams | Operation of surface transport within Lisbon municipality | Urban coverage and feeder services |
| CP—Comboios de Portugal, E.P.E. | National (state-owned) | Suburban and regional trains | Operation of suburban rail services and national rail network | Metropolitan and regional connectivity |
| Transtejo/Soflusa | National (state-owned) | Ferries | Operation of river crossings across the Tagus | Cross-river metropolitan integration |
| TML—Transportes Metropolitanos de Lisboa | Metropolitan | Buses and trams (metropolitan coordination) | Planning, contracting, and coordination of surface transport across 18 municipalities | Fare integration and network coordination |
| AML—Área Metropolitana de Lisboa | Metropolitan | Strategic (all modes) | Strategic planning, policy coordination, management of Navegante system | Metropolitan-scale governance |
| Transportes Coletivos do Barreiro | Municipal | Buses | Operation of surface transport within Barreiro municipality | Urban coverage and feeder services |
| MobiCascais | Municipal | Buses | Operation of surface transport within Cascais municipality | Urban coverage and feeder services |
| Fertagus | Private company (government public concession) | Suburban train | Train connexions between south and north bank of metropolitan Lisbon | Cross-river metropolitan integration |
| Metro Transportes do Sul—MTS | Private company (government public concession) | LRT in the municipalities of Almada and Seixal | Operation and maintenance of the LRT network | Urban coverage and feeder services |
| Mode | Network Scale | Key Characteristics | Primary Function | Integration Features |
|---|---|---|---|---|
| Metro | 4 lines, 45 km, 56 stations | High-capacity, high-frequency, fully grade-separated | Backbone for high-demand urban corridors | Interchanges with trains, buses, ferries; unified fare system |
| Suburban trains | 4 main lines, 100+ stations | Electrified, regional reach, higher speeds | Metropolitan and regional connectivity | Integrated fares; major multimodal hubs |
| Buses | 140+ routes (Lisbon) | Flexible routing, surface operation | Area coverage and feeder services | Coordinated with rail; integrated ticketing |
| Trams | 5 routes | Medium-capacity, heritage and modern rolling stock | Urban corridors and tourist flows | Integrated fares; shared stops with buses |
| Ferries | 4 river crossings | High-capacity river transport | Cross-river metropolitan links | Direct connection to metro and rail |
| Pass Type | Monthly Price (€) | Eligibility | Geographical Coverage | Modes Included |
|---|---|---|---|---|
| Navegante Metropolitano | 40 | Standard adult users | All 18 metropolitan municipalities | Metro, trains, buses, trams, ferries |
| Navegante Municipal | 30 | Users travelling within a single municipality | One municipality (e.g., Lisbon) | Metro, buses, trams (and local services) |
| Navegante 4/18 | 20 | Children and youth aged 4 to 18 | All metropolitan municipalities | All modes |
| Navegante +65 | 20 | Seniors aged 65 and over | All metropolitan municipalities | All modes |
| Navegante Social | Free | Registered low-income individuals | All metropolitan municipalities | All modes |
| Category | Indicator | Acronym | Focus | Curitiba | Lisbon |
|---|---|---|---|---|---|
| Core Efficiency Indicators | Fare Burden Index | FBI | User cost ratio | 0.37 | 0.046 |
| Core Efficiency Indicators | Public Subsidy Share | PSS | Financing ratio | ~15% | ~50–60% |
| Core Efficiency Indicators | Monthly Transport Cost | MTC | User expenditure | €92 | €40 |
| Structural Context Indicators | Modal Diversity Index | MDI | Structural descriptor | 1 | 5 |
| Structural Context Indicators | Rail Backbone Presence | RBPI | Structural descriptor | 0 | 1 |
| Structural Context Indicators | Fare Integration Indicator | FII | Institutional descriptor | 0.5 | 1 |
| Service Indicators | User Satisfaction Level | USL | Outcome indicator | 38% | 72% |
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Gonçalves, J.; da Silva, F.N.; Almeida Marques, R.d. From BRT to Multimodality: A Cost-Efficiency Comparison of Public Transport Systems in Curitiba and Lisbon. Future Transp. 2026, 6, 102. https://doi.org/10.3390/futuretransp6030102
Gonçalves J, da Silva FN, Almeida Marques Rd. From BRT to Multimodality: A Cost-Efficiency Comparison of Public Transport Systems in Curitiba and Lisbon. Future Transportation. 2026; 6(3):102. https://doi.org/10.3390/futuretransp6030102
Chicago/Turabian StyleGonçalves, Jorge, Fernando Nunes da Silva, and Robert de Almeida Marques. 2026. "From BRT to Multimodality: A Cost-Efficiency Comparison of Public Transport Systems in Curitiba and Lisbon" Future Transportation 6, no. 3: 102. https://doi.org/10.3390/futuretransp6030102
APA StyleGonçalves, J., da Silva, F. N., & Almeida Marques, R. d. (2026). From BRT to Multimodality: A Cost-Efficiency Comparison of Public Transport Systems in Curitiba and Lisbon. Future Transportation, 6(3), 102. https://doi.org/10.3390/futuretransp6030102

