We are pleased to share that AUC Geographica was awarded an Impact Factor of 0.5 in the 2023 Journal Citation Reports™ released by Clarivate in June 2024. AUC Geographica ranks in Q3 in the field of Geography.
AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.
AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.
Periodical twice yearly.
Release dates: June 30, December 31
All articles are licenced under Creative Commons Attribution 4.0 International licence (CC BY 4.0), have DOI and are indexed in CrossRef database.
AUC Geographica is covered by the following services: WOS, EBSCO, GeoBibline, SCOPUS, Ulrichsweb and Directory of Open Access Journals (DOAJ).
The journal has been covered in the SCOPUS database since 1975 – today
https://www.scopus.com/source/sourceInfo.uri?sourceId=27100&origin=recordpage
The journal has been selected for coverage in Clarivate Analytics products and services. Beginning with V. 52 (1) 2017, this publication will be indexed and abstracted in Emerging Sources Citation Index.
The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.
Journal metrics 2023
Web of Science
Impact factor (JCR®): 0.5
Journal Citation Indicator (JCI): 0.20
Rank (JCI): Q3 in Geography
Scopus
Cite Score: 1.2
Rank (ASJC): Q3 in Geography, Planning and Development; Q3 in General Earth and Planetary Sciences
The journal is archived in Portico.
AUC GEOGRAPHICA, Vol 49 No 1 (2014), 83–97
Residential location choice modelling: a micro-simulation approach
Jakub Vorel
DOI: https://doi.org/10.14712/23361980.2014.8
published online: 01. 09. 2014
abstract
Micro-simulation models have been increasingly used for studying various urban and regional processes. Here, two experimental microsimulation models are applied to the study of residential location choices of inhabitants of the Tabor micro-region. A wide range of environmental and socio-economic characteristics are analysed for their potential impact on individual residential location choices. The microsimulation approach proves to be useful for analysing not only housing, neighbourhood, and accessibility characteristics, but also of the interactions between the characteristics of the present and potential new residential locations of individual inhabitants and the role of their personal characteristics in their choice of a new residential location. The ability of the micro-simulation models to replicate the observed residential choices is evaluated by several quantitative indicators with special attention given to the stochasticity of the model behaviour, which is a typical feature of micro-simulation models. The limited availability of sufficiently disaggregated data describing the demographics of households, their socio-economic characteristics, and real estate market dynamics needs to be resolved in order to exploit the full potential of micro-simulation modelling in the future.
keywords: residential location choice; micro-simulation modelling; discrete choice models; multi-nominal logit; micro-data
Residential location choice modelling: a micro-simulation approach is licensed under a Creative Commons Attribution 4.0 International License.
210 x 297 mm
periodicity: 2 x per year
print price: 200 czk
ISSN: 0300-5402
E-ISSN: 2336-1980
