Testing the Puget Sound's land use model response to transportation strategies

Kitchen, Matthew; Outwater, Maren L; Johnson, Chris R.; Simonson, Mark; Caballero, Peter; Coe, Stefan

doi:10.3328/tl.2011.03.02.135-148

Cited by 3 publications

(2 citation statements)

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“…The models representing feedbacks between land use systems and transport systems made up the largest category. Some of them showed how residential land use evolved in response to the opening up of rural areas by road construction, and how this, in turn, led to further road construction (e.g., [45,50,53,61]). Others showed how specific urban land use patterns resulted in traffic congestions or lack of accessibility and how the response from road construction resulted in alleviated traffic conditions (e.g., [48,54,59,66]).…”

Section: Feedback Processes Between Land Use Systems and Related Systemsmentioning

confidence: 99%

“…For the coupled models, the elapsed time between data exchanges between the state of the land use model and the related system model was mostly determined by the time step of the land use model, suggesting temporal aggregations on the state of the related systems which used a finer temporal resolution (e.g., [56], see Table 2). In a few cases land use system variables were aggregated temporally to feed into models of a related system (e.g., [61], see Table 2). Discretisation of space is shown in Figure 3e.…”

Section: Reported Effects Of Feedbackmentioning

confidence: 99%

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How Are Feedbacks Represented in Land Models?

Chen

Bakker

Ligtenberg

et al. 2016

Land

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Land systems are characterised by many feedbacks that can result in complex system behaviour. We defined feedbacks as the two-way influences between the land use system and a related system (e.g., climate, soils and markets), both of which are encompassed by the land system. Land models that include feedbacks thus probably more accurately mimic how land systems respond to, e.g., policy or climate change. However, representing feedbacks in land models is a challenge. We reviewed articles incorporating feedbacks into land models and analysed each with predefined indicators. We found that (1) most modelled feedbacks couple land use systems with transport, soil and market systems, while only a few include feedbacks between land use and social systems or climate systems; (2) equation-based land use models that follow a top-down approach prevail; and (3) feedbacks' effects on system behaviour remain relatively unexplored. We recommend that land system modellers (1) consider feedbacks between land use systems and social systems; (2) adopt (bottom-up) approaches suited to incorporating spatial heterogeneity and better representing land use decision-making; and (3) pay more attention to nonlinear system behaviour and its implications for land system management and policy.

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