References of "Peeters, Dominique"
     in
Bookmark and Share    
See detailSpace-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach
Caruso, Geoffrey UL; Peeters, Dominique; Cavailhès, Jean et al

E-print/Working paper (2008)

We present a theoretical model of residential growth that emphasizes the path-dependent nature of urban sprawl patterns. The model is founded on the monocentric urban economic model and uses a cellular ... [more ▼]

We present a theoretical model of residential growth that emphasizes the path-dependent nature of urban sprawl patterns. The model is founded on the monocentric urban economic model and uses a cellular automata (CA) approach to introduce endogenous neighbourhood effects. Households are assumed to both like and dislike the density of their neighbourhood, and trade-off this density with housing space consumption and commuting costs. Discontinuous spatial patterns emerge from that trade-off, with the size of suburban clusters varying with time and distance to the centre. We use space-time diagrams inspired from 1D elementary CA to visualize changes in spatial patterns through time and space, and undertake sensitivity analyses to show how the pattern and timing of sprawl are affected by neighbourhood preferences, income level, commuting costs or by imposing a green belt. [less ▲]

Detailed reference viewed: 46 (1 UL)
Full Text
Peer Reviewed
See detailSpatial configurations in a periurban city: a cellular automata-based microeconomic model
Caruso, Geoffrey UL; Peeters, Dominique; Cavailhès, Jean et al

in Regional Science & Urban Economics (2007), 37(5), 542-567

This paper presents a microeconomic model of residential location that explores the emergence of a mixed belt where residents and farmers coexist beyond a city. The model is based on integrating urban ... [more ▼]

This paper presents a microeconomic model of residential location that explores the emergence of a mixed belt where residents and farmers coexist beyond a city. The model is based on integrating urban economics with cellular automata in order to simulate equilibrium patterns in 2D and through time. Households commute to a CBD and enjoy neighbourhood externalities that are a function of both local residential density and farmland, or open space. They bid on the competitive land market and locate so as to maximize utility. Incremental population growth changes the neighbourhood and leads to rent adaptations. With appropriate parameter values a mixed belt may emerge between the urban and agricultural specialized areas. Settlements within this mixed area are more or less clustered or scattered depending on preferences and neighbourhood size. [less ▲]

Detailed reference viewed: 100 (0 UL)