Can dasymetric mapping techniques be used to predict future urbanization patterns and inform effective urban planning strategies?
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Dasymetric mapping techniques have shown promise in predicting future urbanization patterns and aiding urban planning strategies. Research has explored the use of various ancillary data sources, such as land cover, imperviousness, road networks, nighttime lights, and even mobile phone data, to estimate population characteristics at small geographical scales . Studies have highlighted the importance of high-resolution ancillary data, like individual address point datasets, in improving the accuracy of population estimates, especially in low-density rural areas . Additionally, advancements in dasymetric methods have extended beyond simple forms to incorporate complex density assumptions for spatial disaggregation, enabling the forecasting of settlement patterns and future urban structures . These findings underscore the potential of dasymetric mapping in predicting urbanization trends and supporting effective urban planning initiatives.
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58 Citations | Dasymetric mapping, particularly using high-resolution address point datasets, can accurately estimate population characteristics in small areas, aiding in predicting urbanization patterns and informing urban planning strategies effectively. |
18 Citations | Dasymetric mapping techniques can improve population reallocation in dense urban areas, aiding in predicting urbanization patterns and enhancing urban planning strategies, as shown in the study on Barcelona. |
109 Citations | Not addressed in the paper. |
16 Citations | Dasymetric mapping, particularly with LUR-2SFCAe method using mobile phone data, can predict urban spatial features like centrality and employment centers, aiding in effective urban planning informed by population distribution. |
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