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M.A. Esposito Università degli Studi di Firenze, IT U. Biagi GIS_L.A.B., IT

Application of the Histocity Method to Mobility analysis and scenario definition in the city of Florence, Italy. M.A. Esposito Università degli Studi di Firenze, IT U. Biagi GIS_L.A.B., IT. The HISTOCITY Network.

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M.A. Esposito Università degli Studi di Firenze, IT U. Biagi GIS_L.A.B., IT

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  1. Application of the Histocity Method to Mobility analysis and scenario definition in the city of Florence, Italy M.A. Esposito Università degli Studi di Firenze, IT U. Biagi GIS_L.A.B., IT

  2. The HISTOCITY Network • HISTOCITY is a research and training network on”HISTORICAL CITIES SUSTAINABLE DEVELOPMENT” funded by the EC under the TMR PROGRAMME • and its mission is to defineUrban analysis, design and management integrated methods based on holistic approach as well as on GIS

  3. The HISTOCITY method • Urban analysis based on geographical information (improving GI availability and standardisation) • Scenario definition and strategic plans design based on GI • Design of Spatial Decision Support Tools to coordinate the initiatives of public institutions and mediate public/private agreement relative to strategic objectives/resources management • Define guidelines for better regulations and co-ordinate norms at different administrative levels, examining actual processes and monitoring feed-back

  4. PROJECT PARTNERS

  5. AIMS OF THE PROJECT • Assess the current mobility system • Evaluate the impact of high-speed train on historical center • Integrate the analysis of urban planning and transport networks • Define alternative scenarios for urban planning and transport networks • Assess the future mobility system

  6. MAIN STEPS OF THE PROJECT • Definition of variables, resources and targets • Individuation of transport and urban models based on the zoning of the area of study • Selection of suitable data and data quality assessment • GIS database implementation • ARC-INFO Import/Export procedures to acquire the outputs of transport simulation • Transport networks simulation • Analysis of urban systems currently involved • Definition of alternative scenarios • Project proposal

  7. Urban Mobility Objective/Variables strategic matrix

  8. Firenze’s models and zoning • Demand and supply of transport • Socio-economic model • Mobility catchment area • Administrative boundaries • Transport networks and facilities

  9. Data selection and quality assessment Geographic data available on the study area: • Demographic data • Road/railway networks • Commuter flow data • Built asset data

  10. GIS Data Bases implementation • ARC-INFO Data Bases definition, structuring, acquisition and implementation

  11. ARC-INFO Import/Export procedure • Transports’ simulation using EMME2 • ARC-INFO Import/Export procedure to acquire/exchange outputs

  12. Analysis steps • Selection of data source • Import of data to Arc-View • Design of queries for typical analysis • Definition of queries for current scenario

  13. Traffic flow among city zones total input-output

  14. Public transportation users among city zones total input-output

  15. Population density compared to commercial services location and traffic flows

  16. Scenario definition steps • Selection of data source • Import of data to Arc-View • Definition of queries for future scenario • Comparison of alternative scenarios

  17. Traffic flows and movement among city zones (MIT forecast)

  18. Public transportation users among city zones total input-output(MIT forecast)

  19. Traffic flows and movement among city zones(ECMT forecast)

  20. Public transportation users among city zones total input-output(ECMT forecast)

  21. FUTURE SCENARIO ASSESSMENT RESULTS • Traffic congestion (22p)

  22. FUTURE SCENARIO ASSESSMENT RESULTS • Lack of accessibility to specific city zones (21p)

  23. FUTURE SCENARIO ASSESSMENT RESULTS • Urban planning: not rational location of traffic new attraction poles (28p) compared with available transportation facilities

  24. FUTURE SCENARIO ASSESSMENT RESULTS • Lack of accessibility to historical city center due to limited transportation options (22p,7p, 9p)

  25. FUTURE SCENARIO ASSESSMENT RESULTS • Lack of train use by suburban commuters despite availability of 4 railway stations (26p)

  26. FUTURE SCENARIO ASSESSMENT RESULTS • Low average speed of transportation modes (27p)

  27. FUTURE SCENARIO ASSESSMENT RESULTS • Most frequent bus routes concentrated on arcs corresponding to historical streets and buildings with high environmental sensitivity

  28. A sustainable solution?

  29. The process cannot be started up without a strategic framework definition (variables, resources, targets) Current GIS cannot manage dynamic simulations it can draw analysis and scenarios like: transportation network flows population micro-dynamics traffic attraction poles modification The process also reveals problems such as: center’s population decrease urban sprawl center’s work activities decrease accessibility decrease road net congestion, etc. Results discussionweakversus strong points

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