TY - GEN
T1 - Using linked open geo boundaries for adaptive delineation of functional urban areas
AU - Khalili, Ali
AU - Van Den Besselaar, Peter
AU - De Graaf, Klaas Andries
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The concentration of people, companies, research organizations and other activities in urban areas is a key process in the development of economies and societies. In order to investigate how these urban systems function, the OECD (Organization for Economic Co-operation and Development) in collaboration with EC (European Commission) and Eurostat have introduced the concept of Functional Urban Areas (FUAs). FUAs consider a preliminary set of socio-economic and environmental factors and provide a basis for an agreed definition for measuring development of metropolitan areas. However, because FUAs are predefined they do not meet the need for designing policies and research questions involving di erent types of urban areas that are defined by weighting some factors more than others or by using additional factors. Therefore, providing an adaptive approach for dynamic and multi-faceted delineation of FUAs, rather than merely relying on a rigid schema with a fixed list of FUAs per country, allows to more flexibly reflect the socio-economic geography of where people live and work. This adaptive definition of FUAs demands integration of data from multiple up-to-date linked data sources. In this paper, we describe an approach and implementation for a Linked Open Geo-Data space, which combines openly available spatial and non-spatial resources on the Web to classify urban areas with the aim to more flexibly monitor and research urban development.
AB - The concentration of people, companies, research organizations and other activities in urban areas is a key process in the development of economies and societies. In order to investigate how these urban systems function, the OECD (Organization for Economic Co-operation and Development) in collaboration with EC (European Commission) and Eurostat have introduced the concept of Functional Urban Areas (FUAs). FUAs consider a preliminary set of socio-economic and environmental factors and provide a basis for an agreed definition for measuring development of metropolitan areas. However, because FUAs are predefined they do not meet the need for designing policies and research questions involving di erent types of urban areas that are defined by weighting some factors more than others or by using additional factors. Therefore, providing an adaptive approach for dynamic and multi-faceted delineation of FUAs, rather than merely relying on a rigid schema with a fixed list of FUAs per country, allows to more flexibly reflect the socio-economic geography of where people live and work. This adaptive definition of FUAs demands integration of data from multiple up-to-date linked data sources. In this paper, we describe an approach and implementation for a Linked Open Geo-Data space, which combines openly available spatial and non-spatial resources on the Web to classify urban areas with the aim to more flexibly monitor and research urban development.
UR - http://www.scopus.com/inward/record.url?scp=85049099272&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049099272&partnerID=8YFLogxK
UR - https://geold2018.github.io/
M3 - Conference contribution
AN - SCOPUS:85049099272
T3 - CEUR Workshop Proceedings
SP - 9
EP - 21
BT - Proceedings of the 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data co-located with 15th Extended Semantic Web Conference (ESWC 2018)
PB - CEUR-WS
T2 - 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data, GeoLD-QuWeDa 2018
Y2 - 3 June 2018 through 4 June 2018
ER -