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HKU Scholars Hub
Article . 2013
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Regulation, Land-Use Mix, and Urban Performance. Part 1: Theory

Authors: Webster, CJ; Wu, F;

Regulation, Land-Use Mix, and Urban Performance. Part 1: Theory

Abstract

In this paper we present the theoretical model underlying a series of experiments that use cellular automata (CA) simulations to explore the impact of alternative systems of pollution property rights on urban morphology and performance. It is a partial equilibrium model of developer and community behaviour which allows a formal expression of the urban development processes under alternative regulative regimes. These include pure markets; impure markets without government; voluntary agreements on externality solutions; clubs and other near-market mechanisms of supplying quasi-public goods; and rigid zone-planning. In a second paper we describe how the model is embedded in a nondeterministic CA algorithm that yields simulated land-use patterns. Because the simulations are based on behavioural theory rather than ad hoc cell-transitions rules, they also yield meaningful urban performance indicators such as total, average, and marginal private profits and social costs. These permit tests of conventional urban economic theory within an explicit spatial framework.

Country
China (People's Republic of)
Related Organizations
Keywords

Cellular automata, Theoretical study, Land use, Urban area, Property rights

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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