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Enhancing MATSim: Destination Choice Modeling with Quenched and Annealed Randomness

This presentation discusses the current state and future developments in destination choice modeling using MATSim. It focuses on the base model's attributes, including individual characteristics such as age and mobility, as well as destination factors like location and opening times. By examining randomness in decision-making through quenched vs. annealed methods, we explore how these approaches impact simulation efficiency and validation. The model’s applicability across various disciplines, such as urban planning and economics, showcases its flexibility, and the integration of macro and microdata enhances modeling accuracy for transportation and retail analyses.

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Enhancing MATSim: Destination Choice Modeling with Quenched and Annealed Randomness

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  1. MATSim User Meeting 2013, Zürich 1 MATSim … Destination Choice Current State and Future Development

  2. The Base Model +eexplicit V + eimplicit

  3. Repeated Draws: Quenched vs. Annealed Randomness j destinations e00 • fixed initial random seed • freezing the generating order of eij e10 eij one additional random number can destroy «quench» i • storing all eij i,j ~ O(106) -> 4x1012Byte (4TByte) enn persons personi alternativej store seed ki store seed kj regenerate eij on the fly with random seed f(ki,kj)

  4. Search Space Optimum work shopping home tdeparture tarrival search space Dijkstra forwards 1-n Dijkstra backwards 1-n approximation probabilistic choice

  5. Results shopping leisure

  6. Base Model Attributes • person • age, gender, mobility tools, occupancy, home loc (ha), work loc (municipality) • act chain randomly assigned from microcensus • destination • location (ha), open times, rough type (h, w, s, l, e) • validation • counts

  7. Extending the Model 7 broad range of disciplines such as transport and urban planning, marketing and retailing science, economics, geography, psychology.

  8. Extending the Model 8 8 sim quality • collection costs • transferability / • flexibility • detail level of data

  9. Extending the Model 9 9 Microcensus trips Size: Swiss Business Census Price: ZH city survey set

  10. Extending the Model 10 10

  11. Extending the Model 11 11

  12. Further Extending the Model 12 12 • Synthesis run: • multi-modal: ZH scenario V2 • competition penalties • (e.g., parking) • tagglo

  13. Further Extending the Model 13 13

  14. Further Extending the Model 14 14 • Count data, 1 degree of freedom • Microsim flexibility & capacity restraints • Aggregate validation of a highly disaggregate model • Next Big Step: • Demand: • GPS, GSM • Business volumes, loyalty cards, customer frequencies • License plate surveys • Supply • Number of cash points, parking lots, shelf size, shopping baskets • Products (perishable)

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