Developing a Cell-based Spatial Optimization Model for Analyzing the Trade-off between Urban Development and Biological Conservation
Date Issued
2015
Date
2015
Author(s)
Huang, Chun-Wei
Abstract
Urbanization significantly drives land conversion and therefore may take up additional 1.8% of all biological hotspot areas by 2030. On the other hand, the establishment of protected areas for biological conservation often limits urban development. However, previous land use allocation models rarely take into account synergistic balance between urban development and biological conservation. This study develops a multi-objective spatial optimization model based on the cell-based Dynamically Dimensioned Search Landscape Optimization Planning Model for maximizing the consequential urban development suitability and habitat quality of resultant land-use patterns. As such, the trade-off between urban development and biological conservation can be revealed for assessing restorability and urbanization potential of planning areas in developing regional planning strategies. The model was applied to the Taipei-Taoyuan area for evaluating the conservation-development initiatives which maximize different weighted sums of suitabilities in accordance with the preferred landscape structures for buildings and the Taiwan Barbet. The results identified a number of cropland areas which had high urbanization potential and low habitat restorability for the target species, therefore these areas were suggested to be converted to urban land use. On the other hand, urban planning areas determined as a marginal habitat (i.e. high restorability) can be rezoned to fit the conservation needs as long as massive reforestation efforts were undertaken. The results showed that high restorability urban planning areas can be rezoned to fit the conservation needs. In doing so, green space can penetrate into the urban area from an ecological perspective. Furthermore, the study also revealed that spatial optimization at a cellular level can enhance habitat structures at a finer resolution compared to patch-level landscape optimization. The findings provide insights into the applications of optimal landscape patterns for not only regional rezoning but also built environment design.
Subjects
Trade-off analysis
Land-use allocation model
Biological conservation
Spatial optimization model
Habitat suitability
Scale effect.
Type
thesis
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