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008			160311s2016 gw | s |||| 0|eng d
020			_a9783319301785
040			_aES-MaUEC
050		4	_aHT153 _b.U534 2016
082	0	4	_a620
245	1	0	_aUnderstanding Complex Urban Systems : _bIntegrating Multidisciplinary Data in Urban Models _cedited by Christian Walloth, Ernst Gebetsroither-Geringer, Funda Atun, Liss C Werner
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (IX, 136 páginas) _b22 ilustraciones, 11 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aUnderstanding Complex Systems _x1860-0832
505	0		_aIntroduction -- Combining Agent-Based Modeling with Big Data Methods to Support -- Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems -- Bypassing Data Unavailability in Urban Systems Modeling -- Big Data? No Data. How to Pro-actively Deal With Unexpected Change in Cities Where (Big) Data is Not Available -- Conceptualizing the Urban System as a System of Flows -- Operationalizing the Capabilities Approach for Modeling Household Welfare Shifts in Urban Systems: A Special Focus on the Transportation Outcomes of Urban Resettlement -- Interventions in Complex Urban Systems: How to Enable Modeling to Account for Disruptive Innovation.
520	3		_aThis book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers�including municipal politicians, spatial planners, and citizen groups�in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches�and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Agent-based Modeling; - The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios; - A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data; - An article about a nested-systems approach to analyzing a city�s interdependent subsystems (according to these subsystems� different velocities of change); - An article about methods that use Luhmann�s system theory to characterize cities as systems that are composed of flows; - An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households; - A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_aGeografía urbana _0comprobar BNE19900993012 _2embne _9405179
650		7	_aCiudades _0(OCoLC)861816 _2embne _0 _9139275
700	1		_aWalloth, Christian. _eeditor literario _998244 _0Local
700	1		_aGebetsroither-Geringer, Ernst _eeditor literario _0Local _998798
700	1		_aAtun, Funda _eeditor literario _0Local _998799
700	1		_aWerner, Liss C. _eeditor literario _998800 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30178-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319301785
907			_a.b12949553 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aHT153 .U534 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11592771 _z06-04-17
999			_c85677 _d85677 _x1