2010
DOI: 10.5198/jtlu.v3i2.124
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Microsimulating parcel-level land use and activity-based travel: Development of a prototype application in San Francisco

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Cited by 30 publications
(8 citation statements)
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“…They devised a method of automatically updating urban layouts in the form of parcels and streets for every time step of the simulation. Waddell et al (2010) developed a micro-simulation model of land-use dynamics at parcel level by integrating an activity-based travel model. These studies focused on the economic analysis of discrete spatial choices made by resident agents, overlooking other geographic factors and neighborhood influences.…”
Section: Related Workmentioning
confidence: 99%
“…They devised a method of automatically updating urban layouts in the form of parcels and streets for every time step of the simulation. Waddell et al (2010) developed a micro-simulation model of land-use dynamics at parcel level by integrating an activity-based travel model. These studies focused on the economic analysis of discrete spatial choices made by resident agents, overlooking other geographic factors and neighborhood influences.…”
Section: Related Workmentioning
confidence: 99%
“…However, the microscopic integration between land use and transport never became operational. The probably first true integration of microsimulation land-use and transport models was developed by Waddell, Wang, Charlton, and Olsen (2010) for San Francisco. The model was able to use worker-specific travel times to work to feed the household relocation model instead of more aggregate accessibilities.…”
Section: State Of the Art Of Integrated Modelingmentioning
confidence: 99%
“…Also the model evolved into an integrated microsimulation model, using activity based travel models in recent applications. [11] Virtue of the model that it has an open source program, main drawbacks are the heavy adaptation needs, and the fact it was developed for american circumstances and for metropolitan scale which limit its usefulness on national scale.…”
Section: Urbansim Modelmentioning
confidence: 99%