Modelling Day and Night-Time Population using a 3D Urban Model

Kuffer, Monika and Sliuzas, Richard (2014) Modelling Day and Night-Time Population using a 3D Urban Model. REAL CORP 2014 – PLAN IT SMART! Clever Solutions for Smart Cities. Proceedings of 19th International Conference on Urban Planning, Regional Development and Information Society. pp. 397-405.

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Dasymetric methods are commonly used to redistribute or disaggregate (census) population data, using either simple binary or multi-layer models. Most models show limitations in high density built-up areas as they commonly ignore the 3D dimension (meaning buildings height) of multi-story urban environments. For example, simple dasymetric models only allocate the population counts to built-up areas, without considering differences between areas of multi-story and single-story buildings. Furthermore, such models only allow the disaggregation of ‘night-time’ population data, while for many urban applications such as transport, health or hazard, the location of ‘day-time’ population is of interest. This research presents an initial approach to model day and night-time population using as case study an Indian city (Kalyan-Dombivli). For most Indian cities, census population data is only available for wards, while day-time population data is either not available or of very poor quality. Besides census data and ancillary spatial data, this research uses a 3D urban model, extracted from Cartosat stereo-images. First, the extracted height from the stereo-image is used in combination with building footprints to disaggregate census population data at wards to ‘night-time’ population per building. Second, a classification of economically active areas is constructed based on the 3D urban model in combination with other spatial layers (e.g. transport layers) to model the day-time population. The result shows different concentration of population during day and night-time across ward boundaries as well as it confirms the potential of 3D data to disaggregate population data.

Item Type: Article
Uncontrolled Keywords: 3D urban model , dasymetric model, population model, stereo images, urban remote sensing
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: REAL CORP Administrator
Date Deposited: 27 Jul 2016 16:17
Last Modified: 27 Jul 2016 16:17

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