Virtual city: An individual-based digital environment for human mobility and interactive behavior. (August 2014)
- Record Type:
- Journal Article
- Title:
- Virtual city: An individual-based digital environment for human mobility and interactive behavior. (August 2014)
- Main Title:
- Virtual city: An individual-based digital environment for human mobility and interactive behavior
- Authors:
- Ge, Yuanzheng
Meng, Rongqing
Cao, Zhidong
Qiu, Xiaogang
Huang, Kedi - Other Names:
- Attar Ramtin guest-editor.
O'Brien William guest-editor.
Nikolovska Lira guest-editor.
Khan Azam guest-editor. - Abstract:
- Increasing computing capability and high-resolution digital tracing of human behavior make large-scale computational models for individual-based realistic simulation available. Reconstructing a virtual computational environment is crucial for designing and implementing individual interactions in an artificial society as human beings behave in the real world. In this paper, we propose a methodology to recreate a virtual city by utilizing statistical data and geographic information. The synthetic population and physical environment are baseline components of the virtual city. Individual-based modeling is used to specify individuals' demographic characteristics, and each individual is endowed with heterogeneous social attributes. Various physical environments are generated with geographic locations and mapped with individuals to support daily mobility, migration, and interaction. A series of algorithms are proposed to bridge the gap between macroscopic data and microscopic models, and guarantee equivalence between them. Based on the methodology, we reconstructed a virtual city of Beijing, and presented the statistical analysis of population structure, spatial distribution of physical environments, human travel characteristics, and spatial topologies of social networks. Our synthetic population can represent individual actors in the form of households and household members, and the synthetic population is statistically equivalent to a real population. The proposed methodology isIncreasing computing capability and high-resolution digital tracing of human behavior make large-scale computational models for individual-based realistic simulation available. Reconstructing a virtual computational environment is crucial for designing and implementing individual interactions in an artificial society as human beings behave in the real world. In this paper, we propose a methodology to recreate a virtual city by utilizing statistical data and geographic information. The synthetic population and physical environment are baseline components of the virtual city. Individual-based modeling is used to specify individuals' demographic characteristics, and each individual is endowed with heterogeneous social attributes. Various physical environments are generated with geographic locations and mapped with individuals to support daily mobility, migration, and interaction. A series of algorithms are proposed to bridge the gap between macroscopic data and microscopic models, and guarantee equivalence between them. Based on the methodology, we reconstructed a virtual city of Beijing, and presented the statistical analysis of population structure, spatial distribution of physical environments, human travel characteristics, and spatial topologies of social networks. Our synthetic population can represent individual actors in the form of households and household members, and the synthetic population is statistically equivalent to a real population. The proposed methodology is efficient to recreate a synthetic virtual city and can serve as a base for computational experiments. … (more)
- Is Part Of:
- Simulation. Volume 90:Number 8(2014:Aug.)
- Journal:
- Simulation
- Issue:
- Volume 90:Number 8(2014:Aug.)
- Issue Display:
- Volume 90, Issue 8 (2014)
- Year:
- 2014
- Volume:
- 90
- Issue:
- 8
- Issue Sort Value:
- 2014-0090-0008-0000
- Page Start:
- 917
- Page End:
- 935
- Publication Date:
- 2014-08
- Subjects:
- Individual-based modeling -- virtual city -- synthetic population -- communication behavior -- multilayer social networks
Computer simulation -- Periodicals
003.3 - Journal URLs:
- http://SIM.sagepub.com/ ↗
http://fidelio.ingentaselect.com/vl=3713861/cl=37/nw=1/rpsv/ij/sage/00375497/contp1.htm ↗
http://firstsearch.oclc.org ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/0037549714531061 ↗
- Languages:
- English
- ISSNs:
- 0037-5497
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5916.xml