MARC Record from marc_columbia

LEADER: 06257cam a2200697 a 4500
001 15088373
005 20220604232624.0
006 m o d
007 cr cnu---unuuu
008 130129s2011 enkai ob 001 0 eng d
035 $a(OCoLC)ocn825767450
035 $a(NNC)15088373
040 $aN$T$beng$epn$cN$T$dE7B$dOCLCF$dOCLCO$dTYFRS$dYDXCP$dEBLCP$dDEBSZ$dOCLCO$dOCLCQ$dOCLCO$dOCLCQ$dOCLCO$dOCLCQ$dOCLCO$dMOR$dOCLCQ$dLEAUB$dAU@$dUKAHL$dOCLCQ$dLOA$dOCLCQ$dVT2$dOCLCQ$dU3W$dK6U$dOCLCO$dLUN$dOCLCQ$dOCLCO
019 $a827210912$a988429885$a1086452951$a1122503030$a1129348694$a1135600345$a1167467230$a1205384624
020 $a9781136498534$q(electronic bk.)
020 $a1136498532$q(electronic bk.)
020 $a9780203142608$q(ebk.)
020 $a0203142608$q(ebk.)
020 $a9781136498480$q(e-book ;$qMobi)
020 $a1136498486
020 $a9781136498527$q(e-book ;$qePub)
020 $a1136498524
020 $a9780415696319$q(paperback)
020 $a0415696313
020 $z9780415695640
020 $z0415695643
020 $z0850860210
035 $a(OCoLC)825767450$z(OCoLC)827210912$z(OCoLC)988429885$z(OCoLC)1086452951$z(OCoLC)1122503030$z(OCoLC)1129348694$z(OCoLC)1135600345$z(OCoLC)1167467230$z(OCoLC)1205384624
050 4 $aHT166$b.W54 2011eb
072 7 $aPOL$x026000$2bisacsh
082 04 $a307.1216$222
049 $aZCUA
100 1 $aWilson, A. G.$q(Alan Geoffrey),$d1939-
245 10 $aEntropy in urban and regional modelling /$cA.G. Wilson.
260 $aLondon :$bRoutledge,$c2011.
300 $a1 online resource (166 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file
490 1 $aRoutledge revivals
504 $aIncludes bibliographical references (pages 128-130) and index.
588 0 $aPrint version record.
505 0 $aCover; Entropy in Urban and Regional Modelling; Title Page; Copyright Page; Preface; Table of Contents; 1 What is entropy?; 1.1 Introduction; 1.2 Three views of entropy; 1.2.1 The relationship of entropy to probability and uncertainty; 1.2.2 The entropy of a probability distribution; 1.2.3 Entropy and Bayesian statistics; 1.3 The application of the concept of entropy; 1.3.1 Summary of types of application; 1.3.2 Hypothesis generation; 1.3.3 Interpretation of theories; 1.3.4 The role of 'entropy' in the study of system dynamics.
505 8 $a1.3.5 Review of interrelationship of entropy-maximising procedures and statistical analysis1.3.6 Other applications of the concept of 'entropy'; 2 Transport models: the theory of trip distribution, mode split, and route split; 2.1 Introduction; 2.2 The gravity model of trip distribution; 2.2.1 Derivation of the gravity model; 2.2.2 Interpretation of terms; 2.2.3 Validity of the method; 2.3 Generalised distribution models; 2.4 Modal-split implications; 2.5 Review of underlying behavioral hypotheses; 2.6 An alternative modal-split model; 2.7 Alternative estimates of composite impedance.
505 8 $a2.8 Route split2.9 Concluding comments and discussion; 2.9.1 Introduction; 2.9.2 A simple example; 2.9.3 Alternative impedance functions; 2.9.4 Alternative allocation formulas; 2.9.5 Procedure for estimating models; 2.9.6 A note on forecasting; 3 Interregional commodity flows; 3.1 Introduction; 3.1.1 The problems to be studied; 3.1.2 Relevance to other problems; 3.1.3 Notation; 3.2 Gravity models; 3.2.1 The Newtonian gravity model, and some heuristic developments; 3.2.2 The economists' gravity models; 3.2.3 Deficiencies of the gravity-model approach.
505 8 $a3.3 Derivation of the family of gravity models using entropy-maximising methods3.4 The input-output model; 3.4.1 Principles of the single-region input-output model; 3.4.2 The Leontief-Strout multiregional framework; 3.5 Integrating the gravity and input-output model approaches; 3.5.1 Introduction; 3.5.2 Case (i): the unconstrained gravity input-output model; 3.5.3 Case (ii): the production-constrained gravity input-output model; 3.5.4 Case (iii): the attraction-constrained gravity input-output model; 3.5.5 Case (iv): the production-attraction-constrained gravity input-output model.
505 8 $a3.5.6 A hybrid model for different commodity types3.6 Summary; 4 Location models; 4.1 Gravity models as location models; 4.2 Recreation; 4.3 Shopping; 4.4 Elementary models of residential location; 4.4.1 Introduction; 4.4.2 Gravity models to allocate households around workplaces; 4.4.3 A critical review; 4.4.4 Four types of location behaviour; quasi dynamics; 4.4.5 Disaggregation, with a simplifying assumption; 4.4.6 Removal of the simplifying assumption; 4.4.7 Modelling the supply side; 4.4.8 Further disaggregation; 4.4.9 Integrated models.
520 $aFirst published in 1970, this groundbreaking investigation into Entropy in Urban and Regional Modelling provides an extensive and detailed insight into the entropy maximising method in the development of a whole class of urban and regional models. The book has its origins in work being carried out by the author in 1966, when he realised that the well-known gravity model could be derived on the basis of an analogy with statistical, rather than Newtonian, mechanics. Subsequent investigation demonstrated that the entropy maximising method stems from an even higher level o.
650 0 $aCity planning$xMathematical models.
650 0 $aRegional planning$xMathematical models.
650 6 $aAménagement du territoire$xModèles mathématiques.
650 7 $aPOLITICAL SCIENCE$xPublic Policy$xRegional Planning.$2bisacsh
650 7 $aCity planning$xMathematical models.$2fast$0(OCoLC)fst00862233
650 7 $aRegional planning$xMathematical models.$2fast$0(OCoLC)fst01093167
655 4 $aElectronic books.
776 08 $iPrint version:$aWilson, A.G. (Alan Geoffrey), 1939-$tEntropy in urban and regional modelling.$dLondon : Routledge, 2011$z9780415695640$w(OCoLC)751728135
830 0 $aRoutledge revivals.
830 0 $aMonographs in spatial and environmental systems analysis ;$v1.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15088373$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS