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008			210323b ||||| |||| 00| 0 eng d
100			_aTeixeira,, Filipe _945423
245			_aSKYNET: An R package for generating air passenger networks for urban studies
260			_bSage, _c2019.
300			_aVol 56, Issue 14, 2019,(3030-3044 p.)
520			_aThere is a long tradition of urban studies invoking air transport data either for tackling the city/air transport-nexus head on (e.g. in research on the causality between urban-economic development and air transport connectivity) or as a secondary data source (e.g. in research mapping city networks). However, air transport statistics rarely come in a format that allows for their immediate scrutiny in light of the research questions at hand, so that handling and transforming these data often involves both practical challenges and considerable effort. Against this backdrop, this article introduces ‘SKYNET’, a flexible R package that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States. The basic elements of the package are explained, after which we demonstrate its usefulness by showing its potential for addressing research questions emerging in the literatures on 1) evolving urban landscapes of air travel accessibility, and 2) differences in intercity air transport networks by scale, types and season. We argue that this R package has the potential to become the backbone of a range of easily navigable tools overcoming some of the main methodological challenges researchers face when handling complex airline data in an urban context.
650			_aagglomeration, _945424
650			_amethod, _945425
650			_anetworks, _945426
650			_atransport, _945427
650			_aurbanisation _945428
700			_aDerudder, Ben _939996
773	0		_011188 _915499 _dsage, 2019. _tUrban studies
856			_uhttps://doi.org/10.1177/0042098018803258
942			_2ddc _cART