Urban Benchmarking step-by-step USESPON workshop on Urban Benchmarking Dorota Celińska-Janowicz

Urban Benchmarking step-by-step Aim Scope Data: gathering & analysis Visualisation Interpretation Discussion

Urban Benchmarking step-by-step Aim Scope Data: Gathering and analysis Visualisation Interpretation Discussion

Step 1: Aim and scope Aim  Diagnosis (assessment)  Development goals (strategic documents, consultations)  Communication about achievements Scope  Type of analysis: processes vs results  Type of reference group – other cities, external standards  Thematic scope  Reference group – selection criteria, final choice TRAP: Starting analysis without defining an aim TRAP: Starting analysis without defining an aim ESPON FOCI, SGPTD, ESPON typologies

Identification of cities for a reference group ESPON FOCI: Typology of metropoltan areas,based on GDP dynamic

Urban Benchmarking step-by-step Aim Scope Data: Gathering and analysis Visualisation Interpretation Discussion

Step 2: Data and visualisation Gathering data  Sources: national, Eurostat, ESPON  Completeness - time, territorial  Comparability - methodology of indicators (important also during interpretation)  Final selection of indicators (accurate, understandable, interpretable, adequate number)  Qualitative elements – yes/no  Preliminary database Calculations  relativisation– per capita, density, percentages, combining categiories, standarisation of units, currencies  Final database Visualisation: maps, graphs TRAPS: - Concentration on easily measurable factors - Outdated indicators TRAPS: - Concentration on easily measurable factors - Outdated indicators ESPON Database, Hyperatlas, CityBench

Visualisation Benchmarking of Warsaw, Berlin and Paris metropolitan areas Source: TRAPS: - Map: choice of presentation method (cartogram, diagrams), adequate intervals - Information oversupply – lack of readability TRAPS: - Map: choice of presentation method (cartogram, diagrams), adequate intervals - Information oversupply – lack of readability ESPON Best Metropolises

Visualisation Source: Eurostat Aim of the analysis – diagnosis made by experts (specialists) Aim of the analysis – communication to public audience

Visualisation Source:

Urban Benchmarking step-by-step Aim Scope Data: gathering and analysis Visualisation Interpretation Discussion

Step 3: Interpretation and discussion Unusual results (outliers)  Calculation mistakes  Data quality Comparison to the reference group  Which values are good – high, low, medium  Our city compared to others – strenghts and weaknesses >> causes>> ways of improvement  Qualitative aspects – now they can be included into analysis Trends (historical data)  Postive/negative/neutral  Possible causes – universal, specific for our city The aim  Diagnosis >> improvement plan >> benchmarking as monitoring  Development goals  Identification of the lider – source of good practices  Communication – broader discussion TRAPS: - Misinterpretation - Ranking rather than Benchmarking - Best practices copy- paste approach TRAPS: - Misinterpretation - Ranking rather than Benchmarking - Best practices copy- paste approach

Useful links Źródło: Eurostat ESPON FOCI ESPON SGPTD ESPON BEST METROPOLISES ESPON CityBench ESPON Database database.espon.eu/db2database.espon.eu/db2 ESPON Hyperatlas EUROSTAT – Metropolitan Regions OECD Regional Statistics and Indicators

Thank you