Urban transitions: scaling complex cities down to human size

摘要: Complexity science has become prominent in studying cities as concepts like “smart city” and “big data” indicate. In particular network analysis allowed to various aspects of new ways. As such these analyses are often disconnected subsequent business models remain disembedded. However, complexity can also compare patterns extending over different scales (scaling) if they belong the same entity (allometry). Such relationships pertain too suggesting that buildings, infrastructure traffic amongst other things develop interdependently and, across specific city systems scaling phenomena be compared according cities' population size. The article argues while many physical social networks indeed inform urban transition research proposed central role size is highly ambivalent. This particularly true for economic indicators GDP, which do not reflect need sustainability. Still, built environment contribute theory explanatory mechanisms relating human behaviours institutions existing provided.