作者: C. E. Pownall , A. G. Wilson
DOI:
关键词: Variety (cybernetics) 、 Operations research 、 Feature (machine learning) 、 Dimension (data warehouse) 、 Work (electrical) 、 Engineering 、 Residence 、 Strongly connected component 、 Aggregation problem 、 Representation (mathematics)
摘要: Summary. Two weaknesses which are common to most currently available urban models identified: the lack of connectivity between constituent submodels, and dimension ality problems result from attempts at comprehensiveness. A new system represen tation an associated model is proposed overcome these difficulties suggest forms model. There a great variety (as reviewed for example, in Wilson, 1974). Most made up some may be linked. transport model, instance, 'connected ' residential location that pattern one determinants pattern. Further, compre hensive they attempt deal with elements system-all people, all jobs, so on. This sometimes leads aggregation difficulties, particularly if connect such comprehensive micro-level theories about individuals or firms. The feature current we concerned related each points: submodels not usually strongly connected, this inadequate representation states micro-level. For typical might predict number residents zone who would work another, those shop on, but single family, it possible identify their particular choices residence, simul taneously. These connected problem