Hatna E, Benenson I, 2007, "Building a city in vitro: the experiment and the simulation model" Environment and Planning B: Planning and Design 34(4) 687 – 707
Download citation data in RIS format
Building a city in vitro: the experiment and the simulation model
Erez Hatna, Itzhak Benenson
Received 11 November 2005; in revised form 21 April 2006
Abstract. All current urban models accept the ‘first-order recursion’ view, namely, that the state of an urban system at time t is sufficient for predicting its state at t+1. This assumption is not at all evident in the case of urban development, where the behavior of developers and planners is defined by the complex interaction between long-term and short-term plan guidelines, local spatial and temporal conditions, and individual entrepreneurial activity and cognition. In this paper we validate the first-order recursion approach in an artificial game environment: thirty geography students were asked to construct a ‘city’ on the floor of a large room, with each student using the same set of fifty-two building mock-ups. Based on the analysis of game outcomes, the first-order recursive set of behavioral rules shared by all the participants is estimated and further employed for computer generation of artificial cities. Comparison between the human-built and model patterns reveals that the constructed set of rules is sufficient for representing the dynamics of the majority of experimental patterns; however, the behavior of some participants differs and we analyze these differences. We consider this experiment as a preliminary yet important step towards the adequate modeling of decision-making behavior among real developers and planners.
Full-text PDF size: 1162 Kb
References 30 references, 22 with DOI links ()
Your computer (IP address: 18.104.22.168) has not been recognised as being on a network authorised to view the full text or references of this article. If you are a member of a university library that has a subscription to the journal, please contact your serials librarian (subscriptions information).