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100			_a Hellervik, Alexander _945984
245			_aPreferential centrality – A new measure unifying urban activity, attraction and accessibility
260			_bSage, _c2019.
300			_aVol 46, Issue 7, 2019,(1331-1346 p.)
520			_aThe fact that accessibility shapes the geographic distribution of activity needs to be addressed in any long-term policy and planning for urban systems. One major problem is that current accessibility measures rely on the identification and quantification of attractions in the system. We propose that it is possible to devise a network centrality measure that bypasses this reliance and predicts the distribution of urban activity directly from the structure of the infrastructure networks over which interactions take place. From a basis of spatial interaction modelling and eigenvector centrality measures, we develop what we call a preferential centrality measure that recursively and self-consistently integrates activity, attraction and accessibility. Derived from the same logic as Google’s PageRank algorithm, we may describe its operation by drawing a parallel: Google’s PageRank algorithm ranks the importance of networked documents without the need to perform any analysis of their contents. Instead it considers the topological structure of the network and piggybacks thereby on contextualised and deep evaluation of documents by the myriad distributed agents that constructed the network. We do the same thing with regard to networked geographical zones. Our approach opens up new applications of modelling and promises to alleviate a host of recalcitrant problems, associated with integrated modelling, and the need for large volumes of socio-economic data. We present an initial validation of our proposed measure by using land taxation values in the Gothenburg municipality as an empirical proxy of urban activity. The resulting measure shows a promising correlation with the taxation values
650			_aAccessibility, _945985
650			_aurban activity, _945986
650			_a centrality, _945987
650			_a eigenvector centrality, _945766
650			_a preferential attachment, _945988
650			_aPageRank, _945989
650			_atransportation, _945990
650			_aspatial regression, _945991
650			_a land value, _945992
650			_a spatial interaction _945993
700			_aNilsson, Leonard _945994
700			_aAndersson, Claes _945995
773	0		_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science
856			_uhttps://doi.org/10.1177/2399808318812888
942			_2ddc _cART