Disaggregate models with aggregate data: Two UrbanSim applications
UrbanSim has significant data requirements. In particular, it requires disaggregate data (traditionally at the 150 meter by 150 meter gridcell level) for employment, households, and buildings. While such data are not always easily available, most regions have readily available data in a more aggrega...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Minnesota
2010-09-01
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| Series: | Journal of Transport and Land Use |
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| Online Access: | https://www.jtlu.org/index.php/jtlu/article/view/113 |
| _version_ | 1818911454186700800 |
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| author | Zachary Patterson Marko Kryvobokov Fabrice Marchal Michel Bierlaire |
| author_facet | Zachary Patterson Marko Kryvobokov Fabrice Marchal Michel Bierlaire |
| author_sort | Zachary Patterson |
| collection | DOAJ |
| description | UrbanSim has significant data requirements. In particular, it requires disaggregate data (traditionally at the 150 meter by 150 meter gridcell level) for employment, households, and buildings. While such data are not always easily available, most regions have readily available data in a more aggregate form, often at the level of traffic analysis zone (TAZ) or other municipal divisions. This paper describes two UrbanSim applications for the cities of Brussels, Belgium and Lyon, France that adopted different approaches of using aggregate data. In Brussels, aggregate zonal data were disaggregated to the gridcell level. In the Lyon application, the zone was used as the unit of analysis and as such, each zone corresponds to one gridcell. The objectives of this paper are: 1) establish whether an UrbanSim model can be developed using aggregate data; 2) describe two different approaches to using aggregate data with UrbanSim and evaluate; and 3) evaluate the advantages and disadvantages of using aggregate data, as well as the two different approaches described. In doing so, it advances knowledge in the field of transportation and land use modeling by helping modelers evaluate the use of an increasingly popular integrated transportation land use modeling option. Several conclusions flow from this work. First, aggregate data can be used to develop UrbanSim models. Second, only a limited amount of disaggregate information can be drawn from aggregate data. In the context of UrbanSim, this is manifested in models with relatively few variables and dubious simulation results—in other words, while it is possible to develop an UrbanSim application with aggregate data, it should not be used for applied analysis. Finally, the development of such models can be a relatively low-cost exercise to gain familiarity with UrbanSim’s functioning and data requirements. As a result, it can also be seen as an important first step to developing or evaluating UrbanSim for application in a new region. |
| first_indexed | 2024-12-19T22:58:57Z |
| format | Article |
| id | doaj.art-8c12de225f6c4735ba8097618c798aec |
| institution | Directory Open Access Journal |
| issn | 1938-7849 |
| language | English |
| last_indexed | 2024-12-19T22:58:57Z |
| publishDate | 2010-09-01 |
| publisher | University of Minnesota |
| record_format | Article |
| series | Journal of Transport and Land Use |
| spelling | doaj.art-8c12de225f6c4735ba8097618c798aec2022-12-21T20:02:34ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492010-09-013210.5198/jtlu.v3i2.11371Disaggregate models with aggregate data: Two UrbanSim applicationsZachary Patterson0Marko Kryvobokov1Fabrice Marchal2Michel Bierlaire3Concordia University, Montréal, CanadaLab of Transport Economics (LET), CNRS, LyonLab of Transport Economics (LET), CNRS, LyonTransport and Mobility Laboratory, Ecole Polytechnique Fédérale de LausanneUrbanSim has significant data requirements. In particular, it requires disaggregate data (traditionally at the 150 meter by 150 meter gridcell level) for employment, households, and buildings. While such data are not always easily available, most regions have readily available data in a more aggregate form, often at the level of traffic analysis zone (TAZ) or other municipal divisions. This paper describes two UrbanSim applications for the cities of Brussels, Belgium and Lyon, France that adopted different approaches of using aggregate data. In Brussels, aggregate zonal data were disaggregated to the gridcell level. In the Lyon application, the zone was used as the unit of analysis and as such, each zone corresponds to one gridcell. The objectives of this paper are: 1) establish whether an UrbanSim model can be developed using aggregate data; 2) describe two different approaches to using aggregate data with UrbanSim and evaluate; and 3) evaluate the advantages and disadvantages of using aggregate data, as well as the two different approaches described. In doing so, it advances knowledge in the field of transportation and land use modeling by helping modelers evaluate the use of an increasingly popular integrated transportation land use modeling option. Several conclusions flow from this work. First, aggregate data can be used to develop UrbanSim models. Second, only a limited amount of disaggregate information can be drawn from aggregate data. In the context of UrbanSim, this is manifested in models with relatively few variables and dubious simulation results—in other words, while it is possible to develop an UrbanSim application with aggregate data, it should not be used for applied analysis. Finally, the development of such models can be a relatively low-cost exercise to gain familiarity with UrbanSim’s functioning and data requirements. As a result, it can also be seen as an important first step to developing or evaluating UrbanSim for application in a new region.https://www.jtlu.org/index.php/jtlu/article/view/113data requirementsdata disaggregationUrbanSimintegrated transportation-land use modeling |
| spellingShingle | Zachary Patterson Marko Kryvobokov Fabrice Marchal Michel Bierlaire Disaggregate models with aggregate data: Two UrbanSim applications Journal of Transport and Land Use data requirements data disaggregation UrbanSim integrated transportation-land use modeling |
| title | Disaggregate models with aggregate data: Two UrbanSim applications |
| title_full | Disaggregate models with aggregate data: Two UrbanSim applications |
| title_fullStr | Disaggregate models with aggregate data: Two UrbanSim applications |
| title_full_unstemmed | Disaggregate models with aggregate data: Two UrbanSim applications |
| title_short | Disaggregate models with aggregate data: Two UrbanSim applications |
| title_sort | disaggregate models with aggregate data two urbansim applications |
| topic | data requirements data disaggregation UrbanSim integrated transportation-land use modeling |
| url | https://www.jtlu.org/index.php/jtlu/article/view/113 |
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