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100 _aShen, Yao
_934606
245 _aDelineating the perceived functional regions of London from commuting flows
260 _bSage,
_c2019
300 _aVol 51, Issue 3, 2019,(547-550 p.)
520 _aWell-connected urban areas defined by different types of urban flow define the boundaries reflecting the relatedness of places in terms of their functionality. Yet, attempts to define cities and their communities based on aggregated data normally neglect the inherent differences between different groups of people. Based on the disaggregated flow data, this study detects community structures in the London Metropolitan Area perceived by different occupations by using the multi-level modularity optimisation algorithm. The results show the difference between our perceptions of different functional regions across occupations. The higher managerial groups have a more global sense than the lesser managerial occupations who have more segmented and local perceptions regarding their functional regions. This is well illustrated by the shift of the documented modularity scores across groups. Although the transport network and various natural boundaries do play a part in the locational patterns of the derived communities, it is found that the relative self-containment of functional regions is interpreted differently by different occupations. This kind of representation is of great value in advancing our knowledge regarding how different places are perceived by different occupations with all the implications for future commuting that future planning for housing and employment will bring.
650 _aNetwork,
_944508
650 _a functional region,
_944509
650 _acommuting
_944510
650 _a behaviour,
_944511
650 _amobility,
_944512
650 _amodularity
_944513
700 _aBatty, Michael
_939785
773 0 _011325
_915507
_dSage, 2019.
_tEnvironmental and planning A: Economy and space
856 _uhttps://doi.org/10.1177/0308518X18786253
942 _2ddc
_cART