Activity-Based Modeling

How does it work?

CT-RAMP model

Coordinated Travel – Regional Activity Based Modeling Platform (CT-RAMP) for the Atlanta Region

Basic Model Design and Linkage between Sub-Models

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Role of Population Synthesis(TMIP 5.8)

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Where does population synthesis fit in? (TMIP 5.9)

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Relations between activity model design elements

(TMIP 5.10)

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Role of Person Types(TMIP 5.11)

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Bridge Expansion Example(TMIP 5.12)

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Relevance to Population Synthesizer(TMIP 5.13)

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What does a synthetic pop. look like?(TMIP 5.14)

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Steps in Creating a Synthetic Pop.(TMIP 5.15)

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Pop. Synthesis – Summary View(TMIP 5.16)

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Specifying a Target Distribution(TMIP 5.18)

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Specifying Control Attributes (1)(TMP 5.21)

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Specifying Control Attributes (2)(TMP 5.23)

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Uncontrolled Attributes(TMIP 5.24)

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Pop. Synthesis Process(TMIP 5.25)

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Creating a Synthetic Population(TMIP 5.26, 5.33)

• Control the joint distribution of attributes in a synthetic population.

• Draw households from our sample to match multi-dimensional target distribution.

• Output a synthetic population consisting of all persons belonging to the households drawn.

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Ex: Baltimore Metro Council(TMIP 5.45, 5.46)

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Forecasting Future Synthetic Pops.(TMIP 5.57)

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Accessibilities(TMIP 6.7)

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Defining Accessibility(TMIP 6.9, 6.10)

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Dimensions of Accessibility Variables(TMIP 6.15)

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Area Type Stratification Variables(TMIP 6.23)

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Activity Scheduling(TMIP 6.47)

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Accessibility Effects: A Practical Ex.(TMIP 6.92)

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Long-Term and Mobility Choice Models

(TMIP 7.7)

• Longer-term decisions such as buying a car and medium-term decisions such as whether to buy a transit pass or a toll transponder.

• They affect travel choices over the course of the year, as well as influencing travel choices on a day-to-day basis.

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Bridge Expansion Mobility Effects(TMIP 7.11)

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Summary of Mobility Model Decisions(TMIP 7.16)

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Mobility Decisions w/in ____ Model(TMIP 7.18, 7.19, 7.20)

• Within day pattern models and as long-term choices, or represented in one or the other.

• Within the land-use model instead of the travel model.

• Within the population synthesizer. These might include auto ownership, driver’s licenses, or people who work at home. Most likely as uncontrolled population attributes.

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Ex. of Hierarchical Choice of Workplace

(TMIP 7.38)

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Long-Term & Mobility Decision Models in PSRC ABM System

(TMIP 7.49)

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Challenges with New Policies and Technologies

(TMIP 7.56)

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Activity Pattern Generation(TMIP 8.4)

• How individual travel choices are made on given (modeled) (week)day

• Individual daily activity pattern (DAP) is a central concept of activity based modelingo Replaces trip generationo Generates activities, tours, and trips with cross-

impacts on each othero Litmus test on understanding activity based

modeling

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Activity Pattern & Tour Generation(TMIP 6.7)

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Daily Activity Pattern(TMIP 8.7)

• A typology describing a combination of tours made by persons over the course of a day.

• Simple form: the number of tours of a particular purpose, such as “1 home-based work tour + 1 home-based social/recreational tour”.

• Or, use an over-arching description such as “mandatory” or “discretionary” or “stay home all day.”

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Classification of Activities(TMIP 8.8)

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Out-of-Home Activities / Travel Purposes (TMIP 8.10)

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Why model trips for different purposes jointly? (TMIP 8.16)

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Simplified IDAP Choice Ex.(TMIP 8.24)

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Daily Activity Patterns(TMIP 8.25)

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IAP Exact Number of Stops(TMIP 8.38)

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Basic Choice Structure for Coordinated DAP (TMIP 8.48)

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Coordinated DAP Type – 3 Persons(TMIP 8.49)

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Types of Joint Travel (TMIP 8.66)

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Scheduling and Time of Day Choice(TMIP 9.x)

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ToD Choice in ABM System (TMIP 9.10)

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Limitations of 4-Step w/rt ToD Choice(TMIP 9.12)

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ToD Principal Modeling Approaches(TMIP 9.15)

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Impacts on ToD Choice (TMIP 9.31)

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Location & Accessibility Effects(TMIP 9.49)

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Time Window Overlap (TMIP 9.54)

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Summary: ToD Model Application(TMIP 9.82)

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Forecasting, Performance Measures and Software (TMIP 12.3, 12.7)

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Iterative Calibration (TMIP 12.11)

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Equity Analysis (TMIP 12.19)

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Bicycle and Walk Considerations(TMIP 12.25)

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Scenario Testing (TMIP 12.26)

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Parking Pricing Scenarios (TMIP 12.27)

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Alternatives Analysis with ABMs(TMIP 12.33)

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Stochastic Variation (TMIP 12.34)

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Data Visualization Dashboard (TMIP 12.83)

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Summary (TMIP 12.90)

• Requires new approaches to data collection, new skill sets, new hardware and software?

• Disaggregate representation of individuals provides summarization by any available attributes, enabling more sophisticated, higher-resolution analyses of transportation policy and investment alternatives.

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Activity-Based Modeling

How does it work?