Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia

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Title: Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia
Authors: Robinson, D.T.1 drobins2@staffmail.ed.ac.uk, Murray-Rust, D.1, Rieser, V.1, Milicic, V.2, Rounsevell, M.1
Source: Computers, Environment & Urban Systems. Mar2012, Vol. 36 Issue 2, p164-176. 13p.
Subjects: Land use, Land cover, Stakeholders, Municipal government, Soil quality, Noise pollution, Empirical research
Geographic Terms: Koper (Slovenia), Slovenia
Abstract: Abstract: To cope with data limitations and to provide insight into the dynamics of LUCC for local stakeholders in the Municipality of Koper, Slovenia, we constructed an ABM (loosely defined) that integrates utility theory, logistic regression, and cellular automaton-like rules to represent the decision-making strategies of different agents. The model is used to evaluate the impact of LUCC on human well-being, as represented by the provision of highly productive agricultural soil, the extent of noise pollution, and quality-of-life measurements. Results for the Municipality of Koper show that, under a range of model assumptions, (1) high quality agricultural soils are disproportionately affected by urban growth, (2) aggregate resident quality of life increases non-linearly with a change in development density, (3) some drivers of residential settlement produce non-linear preference responses, and (4) clustering industrial development had a beneficial impact on human well-being. Additional novel contributions include the incorporation of noise pollution feedbacks and an approach to empirically inform agent preferences using a conjoint analysis of social survey data. [Copyright &y& Elsevier]
Copyright of Computers, Environment & Urban Systems is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 73523778
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  Label: Abstract
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  Data: Abstract: To cope with data limitations and to provide insight into the dynamics of LUCC for local stakeholders in the Municipality of Koper, Slovenia, we constructed an ABM (loosely defined) that integrates utility theory, logistic regression, and cellular automaton-like rules to represent the decision-making strategies of different agents. The model is used to evaluate the impact of LUCC on human well-being, as represented by the provision of highly productive agricultural soil, the extent of noise pollution, and quality-of-life measurements. Results for the Municipality of Koper show that, under a range of model assumptions, (1) high quality agricultural soils are disproportionately affected by urban growth, (2) aggregate resident quality of life increases non-linearly with a change in development density, (3) some drivers of residential settlement produce non-linear preference responses, and (4) clustering industrial development had a beneficial impact on human well-being. Additional novel contributions include the incorporation of noise pollution feedbacks and an approach to empirically inform agent preferences using a conjoint analysis of social survey data. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Computers, Environment & Urban Systems is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.compenvurbsys.2011.10.002
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Land use
        Type: general
      – SubjectFull: Land cover
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      – SubjectFull: Stakeholders
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      – SubjectFull: Municipal government
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      – SubjectFull: Soil quality
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      – SubjectFull: Noise pollution
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      – SubjectFull: Empirical research
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      – SubjectFull: Koper (Slovenia)
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      – SubjectFull: Slovenia
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      – TitleFull: Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia
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              Text: Mar2012
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              Y: 2012
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