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RAIL4CITIES: Transforming Railway Stations for Green and Socially-Inclusive Cities

Oct 7, 2024

A modern high-speed train arrives at a contemporary railway station featuring a distinctive architectural design with white, tree-like steel columns and glass canopies. The station is surrounded by urban buildings, and a pedestrian bridge with greenery is visible in the foreground. The image also includes the 'RAIL4CITIES' logo in the top right corner.

Railway stations hold a unique position in the urban landscape: they not only act as complex nodes of mobility and transport, but also as public places that can be seen as integral elements of the city. Consequently, stations have a decisive impact on their urban surroundings as places of everyday life, affecting all stakeholders including citizens and the environment.

CIMNE’s innovation unit in transport, CENIT, is a key player in RAIL4CITIES, a pan European effort involving twelve cross-cutting players to redefine and enhance rail stations as the centre of urban life.

Project Objectives

The central ambition of RAIL4CITIES is to develop a new operational, readily available and highly applicable model of stations as sustainable city promoters (SCP model), combined with a common European methodology and tool for its effective implementation. The project takes inter-dependent impediments (profit-orientated business model, complex web of agents and stakeholders, policy gaps) into account and provides decision makers with the tools to transform stations into promoters of sustainable cities.

Decorative graphic with a light background, green leaves, and stylized clouds. The text reads: 'We aim to create a novel operational model for stations to promote sustainable cities, alongside a shared European approach and tool for effective implementation.

Source: Rail4Cities Consortium (rail4cities.eu)

Implementation approach

The model will be applied to 5 living labs addressing the stations’ transformation into hubs of green and active mobility in France, energy hubs in Italy, towards transit-oriented development in Germany, into a socially-inclusive services hub with using Nature Based Solutions in Poland, and service hubs enabling the 15-minute city and circular economy in Belgium.

In this project, CIMNE’s transport innovation unit, CENIT, developed the methodology for the impact analysis of a new model of stations in cities. The goal of this methodology is to compute the Sustainable Return on Investment (S-ROI), which accounts for environmental and social factors, in addition to the economic costs and benefits (CBA). As a result, this solution will assess not only the effects on the stations’ bottom line (cost-benefit analysis of integrating, for example, new services and solutions), but also the effects on the urban ecosystem (on people, the environment, transportation planning, and urban planning), particularly those that are not “directly tangible.”

In this deliverable, we have used three interrelated methodologies—the Theory of Change (ToC), a Sustainable Return on Investment (S-ROI), and a Multicriteria Analysis (MCA)— to assess the impact of the new station model on the urban context and the mobility system. The methodological framework of impact assessment is described in Figure 1.

A flowchart diagram outlining a three-stage process for achieving a goal, utilizing data resources, methodology/tools, and outcomes. Stage 1: Focuses on identifying impact over time using developed KPIs, workshops, and desktop research. The methodology involves the Theory of Change and workshops for validation, resulting in the impact for each activity. Stage 2: Involves calculating impacts using living lab surveys, Theory of Change (ToC) outcomes, and workshops for missing data. The methodology includes Social Return on Investment (SAIT) and sustainable return on investment, leading to the economical value of impacts and the S-ROI ratio. Stage 3: Prioritizes solutions of living labs using ToC outputs and workshops. The methodology involves multicriteria analysis, resulting in the best solution.

Figure 1. methodological framework of impact assessment

The ToC outlines the activities, solutions, and impacts (or KPIs) of each of the seven fields of action while also considering the boundaries and how to overcome them. The ToC serves as the foundation for both the S-ROI and the MCA.

The objective of the S-ROI methodology is to obtain an objective indicator of the net contribution or overall benefit of each of the outputs to subsequently choose the optimal solution. Figure 2 explains the proposed workflow for implementing the S-ROI evaluation of the activities proposed in the living labs.

The selection of optimal solutions is made in conjunction with the results of the multicriteria analysis (MCA). This method starts with the identification of the main objective and the determination of the criteria and sub-criteria, applied to the alternatives. The hierarchy represents the relationships between the following elements (see Figure 3):

  • Level 1: Primary Objective. The aim would be to select the solutions with the greatest potential in each of the actions.
  • Level 2: Criteria and sub-criteria. The first ones could be Infrastructure, Environmental, Social, Financial, Accessibility, Technology and Safety; while the sub-criteria would be specific KPIs within each criterion.
  • Level 3: The different alternatives or viable solutions would be proposed for each action.

A flowchart illustrating the process of Stage 1: Identify Impacts within a Living Lab field of action, using the Social Return on Investment (S-ROI) methodology. TOC (Theory of Change): The process begins with an Activity, leading to Outputs, and subsequently to multiple Outcomes (Outcome 1, Outcome 2, Outcome n). SAIT Methodology: The methodology is divided into three main components: Identification of Costs/Benefits and Quantification Methods: This includes investment, operation, maintenance, users, and externalities like pollution and climate change. Reference unitary costs and financial proxies are used to quantify impacts. Characterization of Agents Involved: Agents include public administration, service managers/operators, users, and society. Initial Considerations: Factors such as social discount rate, temporal analysis horizon, shadow prices, consideration of VAT and taxes, and inflation are taken into account. SAIT Results: The results are presented as the Sustainable Net Present Value (SNPV) of impacts. S-ROI Ratio: The S-ROI Ratio is calculated as the ratio of the Sustainable Net Present Value (SNPV) of impacts to the Net Present Value (NPV) of investment. Results Assessment: The final phase involves decision criteria and sensitivity analysis based on the S-ROI ratio.
Figure 2. Workflow for implementing the S-ROI evaluation of the activities

A hierarchical decision-making diagram illustrating the evaluation of alternatives based on a main objective, criteria, and sub-criteria across two levels. Level 1: Main Objective The top level represents the main objective of the decision-making process. Level 2: Criteria The main objective is broken down into multiple criteria (Criteria 1, Criteria 2, Criteria 3, ..., Criteria n). Sub-Criteria: Each criterion is further divided into sub-criteria (Sub-criteria 1, Sub-criteria 2, ..., Sub-criteria k). Level 3: Alternatives The sub-criteria are used to evaluate various alternatives (Alternative 1, Alternative 2, Alternative 3, ..., Alternative m), aiding in the selection of the best option based on the defined criteria and sub-criteria.

Figure 3. Conceptual diagram or hierarchical model of the Hierarchical Analytical Process (AHP)

The central idea of this methodology is to develop a tool that provides the key solutions for each action to address economic, environmental, and social aspects. The impact analysis tool will allow for the construction of creative services and solutions that address social, environmental, and economic factors by integrating S-ROI and MCA. As outcomes, the integration of a S-ROI calculation in the cost-benefit analysis aims at:

  • Better understanding of how sustainability and the financial area relate.
  • Greater awareness of sustainability issues as an integral part of the business operation.
  • Company participants to feel better prepared for upcoming sustainability standards and regulations.
  • Railway companies to start to integrate S-ROI methodologies in their internal CBA for their future projects, as they will see the benefits of such a calculation and will also have an impact on their collaboration with local institutions.

Conclusion

The RAIL4CITIES project adopts a unique approach to rethinking railway stations as catalysts for sustainable and socially inclusive urban development. By creating and executing the SCP model, the project not only solves the existing limits of traditional station models but also provides a comprehensive framework for their transformation into hubs of green mobility, social inclusion, and economic resilienceRAIL4CITIES provides a sophisticated tool for analysing the multiple implications of station modifications by using connected approaches such as the Theory of Change (ToC), Sustainable Return on Investment (S-ROI), and Multicriteria Analysis (MCA). This strategy ensures that decision-makers have the knowledge they need to maximize station functions while combining economic viability with environmental and social advantages. The project’s achievements will encourage the adoption of sustainable practices, thereby fostering the development of greener and more liveable railway stations throughout Europe. As railway stations and municipal governments begin to incorporate this methodology into their planning and operations, the potential for widespread positive impact on urban ecosystems becomes more tangible, ushering in a new era of sustainable urban transportation.

Adaptation of an original article written by CIMNE’s Samra Sarwar and Francesc Gasparin Casajust

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