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Third International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"

Third International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"

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  • The research i’m going to present is an attèmpt to build an operational Multi Agent System not a spatial simulation toy

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  • 1. The behavioural rules in Multi Agent Systems: a “not a toy” approach Alessandra LAPUCCI M assimiliano PETRI Diana POLETTI L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali University of Pisa, Department of Civil Engineering [m.petri, alessandra.lapucci, diana.poletti]@ing.unipi.it
  • 2. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali The starting point A first award
  • 3. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Topics
    • Knowledge Need
    • A particular MAS: Activity-Based Model
    • “ Citylive” Structure and Case Study Application
        • The Environment
        • The Agents
        • The Rules : knowledge extraction from data
    • The model implementation
  • 4. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali “ City-Live” model answers Knowledge Need
    • Interventions on:
    • Road Conditions
    • Traffic Regulations
    • Public Transport
    • Road works
    • Activities (re)localization
    • Activities opening/closing
    • times
    • Limited Access Areas
    • ………… .
    “ City Live” model Simulations
    • Effects on:
    • Traffic and Congestion
    • Public Transport Demand
    • Parkings Demand
    • Travel Time to Work
    • Travel Time to School
    • Travel Time to Various
    • Services ….
    “ City as Living Organism” Function Assessment = Life Quality
  • 5. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali - A) an Environment - B) a set of Agents, active entities of the system - C) a set of “Rules” regulating agents’s activities The Case Study The Activity-Based Model Population Survey
    • SCHEDULING
    • - WHERE do city users go? ( in which services ) activities localization
    • - HOW do they get there? (by which transport means) traffic and
    • - WHERE do they park? public transport
    • - WHICH family members are involved? family organization
    • - IN WHICH hours do they move? space use and
    • - HOW MUCH time do they spend? time consume
    • - HOW LONG do they stay?
    • …………
  • 6. Why sequential Activity-Based model ? The Case Study The Activity-Based Model L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Morning act. diary pattern Afternooon act. diary pattern Evening act. diary pattern
  • 7. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Region : Tuscany (Italy) City : Pisa Residents : approximately 82.000 Surface : 7600 hectares A) The Environment in“City-Live” The Study Area
  • 8. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali A Reactive Agent
    • Temporal Geometric Network
    • Geodatabase of activities located in the study area
    • Population data related to the 918 census sections involved
    The Environment is structured as e real agent The environment is implemented on a G.I.S. platform It allows efficient and dynamic spatial queries A) The Environment in“City-Live” Behaviours /Attributes vary through time through space according to interactions with agents
  • 9. City-Live Population Survey Two different City Users Commuters Universe: the commuters working in the activity with more than 20 employees (source: firm direct contact) Sample: based on a spatial accessibility and homogeneity criteria Residents Universe: the total residents in the Census Areas selected (source: Statistical National Agency) Sample: a two-steps sample method Residents Commuters Pisa city centre Pisa city center Arrival points Residents Activities Commuters Activities
  • 10. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index Road Network (with one-way) Census Area centroids
  • 11. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index Gravitational Potential PG a = k j Σ j M j / d aj α where PGa = Gravitational Potential fotr the Census Area a Kj = Census Area j weight Mj = Number of emplyees in the Census Area j daj = Distance between a and j calculated on the Network alfa = distance sensitiveness We use this index to create Census Area Clusters based on homogeneous accessibility criteria
  • 12. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index
  • 13. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Questionnaire Structure 2 – Daily Activities: Activity Type (14); Start/End Activity Period; Activity Localization; Activity Duration; Transportation Means; Reason for Choosing or not Public Transports ( specifically requested from Pisa Province ) Trip Time; Planning Moment; Accompainment Possibility (number of people). Questionnaire Structure 3 – Individual preferences : Preferred transport means Used transport means Judgements about urban services … Questionnaire Structure City-Live Population Survey Questionnaire Structure 1 – Personal Data: Class (commuter, domiciled or resident); Residence/Arrival area in Pisa; Sex; Age Band; Civil Status; Number of Transfers; Single Component Occupation; Individual Salary Range; Educational Qualification; Number of Family Components; Family Composition; Head of a family Age; Number of Children in the Family; Driving Licence Number in the Family; Car Numerousness in the Family. Individual Data Family Data
  • 14. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Questionnaire Structure City-Live Population Survey
  • 15. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey The web site
  • 16. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Personal data survey The web site
  • 17. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Activity diary data web-GIS For clients with editing not allowed (administrations, firms, etc..) The web site For clients with allowed editing (sample)
  • 18. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Questionnaire: results Legend Residence Arrival com. Activity Travel by car Travel by bike Travel by bus Travel on foot Activity duration Time axis Ore 12.30-14.00
  • 19. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Survey Use - 1 Sample Survey : Questionnaires
    • Agents:
    • Residents inserted in their own Familiar Context
    • Singles Commuters
    Iterative Proportional Fitting Whole Population Reconstruction City-Live B) The Agents
  • 20. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Examples: Which choice is made first in the model? Which transport means do an individual choose? At what time does the activity start? … . Knowledge Discovery in Databases Knowledge Extraction for Model Building City-Live C) The Rules Sample Survey : Questionnaires Survey Use - 2
  • 21. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live : C) The Rules Example: Survey & KDD Decision Tree  IF .. THEN .. Rules
  • 22. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Cube environment City-Live : Activity-Based Model
    • - It incorporates most of the Activity-based demand techniques.
    • It allows the input of GIS data and their editing in a ArcGIS-like environment
    • It distributes model run processes across multiple computer processors, cutting model run times
    • It contain a scripting language to insert the KDD rules in the choice processes modules
    • It allows choice aggregation combining the effects of individual choice for such things as travel destination, time of day, cost and parking to provide aggregate representations
  • 23. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali THE END Alessandra Lapucci [email_address] M assimiliano Petri [email_address] Diana Poletti [email_address] University of Pisa Department of Civil Engineering Thank you !!