Monitoring and evaluating the Italian programme for urban sustainable mobility

Transcription

1 Monitoring and evaluating the Italian programme for urban sustainable mobility Maurizio Tomassini ISIS Istituto di Studi per l Integrazione dei Sistemi 1

2 Foreword The project has been developed jointly by the Italian Ministry of Environment(*) and ANCITEL(**) (operative branch of the Italian Association of the Municipalities) with the support of ISIS. (*) Giovanna Rossi (**) Francesco Lapietra

3 Contents 1. The Italian sustainable mobility program 2. The evaluation methodology 3. The survey of status of urban mobility 4. The on line tool 3

4 The Italian mobility fund Funding for 239 ML in favor of local authorities. Nine typologies of intervention (CIVITAS Measures): Delivery of services and infrastructure for public transport Upgrading vehicles with low emissions and enhanced mobile information Streamlining delivery of goods Park and ride and intermodality Fuels with a low environmental impact Promotion of the Mobility Manager Additional services to TPL (car sharing, taxi etc.). Promoting cycling Implementation of specific actions to increase the safety of users

5 Share of contributions to interventions 5

6 Beneficiaries of cofinancing 104 intervention in 14 metropolitan areas Bari Bologna Cagliari Catania Firenze Prato - Pistoia Genova Messina Milano Napoli Palermo Roma Torino Trieste Venezia 91 intervention in 91 Smaller Municipalities 6

7 Objectives of the Ministry To get feedback from the city beneficiaries : Reduction of the emissions Mobility changes To assess their status of mobility

8 Impacts evaluation Emissions & energy Reduction Mobility Behaviour Polluant Emissions (Con Nox, PM) Green House Gases (CO2) Fuel Consumption Modal split (%) Mileage Travelled by car (km) Fatalities and Injuries (unit) Perception of Safety (%) Selected Indicators Freight operations run by the UDC (unit) Mileage Travelled by commercial vehicle movements (km) Mileage travelled by environmentallyfriendly vehicles (km) User acceptance (%)

9 Impacts evaluation Goal: To obtain an overall homogenous set of values for the indicators Constraints: Reduce the efforts for data acquisition Approach: Propose a limited number of indicators based on easy data Develop an on line tool guiding cities on collecting and uploading data

10 The evaluation tool

11 The evaluation tool

12 The evaluation tool EX-POST

13 The evaluation tool EX-ANTE

14 The evaluation tool OUTPUT

15 Assess the status of mobility Data collection on line questionnaire Statistical analysis of data (limited responses of the full set, as usual) Assessment Focus on private mobility Risk analysis approach

16 The questionnaire Population and municipal area. Municipal planning of the mobility system. Mobility management. Displacements in the municipal area. Modal split of trips. Length of the road network. Data on urban public transport Additional services to TPL Car Sharing bike Sharing Services on demand Composition of the Taxi vehicle fleet Measures to limit vehicle traffic Parking Management Bicycle paths Data on private transport Road accidents 16

17 The Risk Index Hazar d Exposit ion Vulnerabi lity Nd 2R Risk Index = P E V = C Dpop Nd: Number of inhabitants moving on a daily basis R:city area radius C: % of inhabitants travelling by car D pop : population density (inhab./kmq) 1

18 Results: cities > inh 100% Risk Index % private car 80% 60% 40% Genova Palermo Trieste Bologna Firenze Messina Roma 20% % n. of inhabitants moving on a daily basis 18

19 Results: cities inh 120% Risk Index % private car 100% 80% 60% Bergamo Ferrara Parma Reggio Emilia 40% Livorno Bolzano 20% % n. of inhabitants moving on a daily basis 19

20 Results: cities < inh 120% Risk Index % private car 100% 80% 60% Riccione Alba Lanciano Aosta 40% Spoleto 20% 0% n. of inhabitants moving on a daily basis 20

21 Not alway small is beautiful Risk Index/Population 14,0 Bergamo 12,0 Trieste 10,0 Parma 8,0 Messina 6,0 Livorno 4,0 2,0 Treviso Pesaro Bolzano Ferrara 0,

22 Not alway small is beautiful 1,8 1,6 Risk Index/Population Rivalta di Torino 1,4 Riccione 1,2 1,0 Aosta 0,8 Schio Senigallia Rieti 0,6 0,4 Monterotondo S.Benedetto del Tronto 0,

23 A complementary approach Assessing the external costs potentially reduced by the implementation of selected sustainable mobility policies. External costs categories included in the evaluation framework Air pollution ( air quality health damages) Climate change ( global risks) Noise ( annoyance and health) Congestion ( travel time losses) Accidents ( fatalities and injuries)

24 ISIS Externalities model Fleet Composition Emission Factors External Costs Input Values: Network types and transport modes Air Pollution Climate Change Noise Accidents Congestion Sustainable mobility measure implemented Traffic flows data Calculation modules External Costs

25 The calculation module: an example Kms shifted from passenger cars to bicycle TRAFFIC FLOWS DATA Kilometres travelled by mode VEHICLE FLEET COMPOSITION technology standards fuel type engine size Urban environment EMISSION FACTORS (g/vkm) DAMAGE FACTORS ( /tonn) Sources: HEATCO DAMAGE COST ESTIMATION

26 Than Data collection for impact evaluation at preliminary stage (most implementations still in progress). Results analysis (benefits): Trend of risk index Reduction of externalities