The applicability of mobile positioning data in urban planning survey
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Date
2016
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AESOP
Abstract
Urban planning survey is a comprehensive and complicated procedure. The traditional means of urban planning survey, such as questionnaire, interview and travel log, etc., are facing the limitation of high cost, small sample size and objective bias. However, as the rapid development of ICT (information and communication technology), the application of big data on the study of urban planning become more and more popular. The common data sets used in urban planning include mobile positioning data, float car positioning data and mobile check-in data, etc. The application of big data in urban planning survey complements the shortage of traditional means in reducing survey cost, increasing sample size and providing a more objective perspective.
Mobile positioning data is one of the most common data sets applied in urban planning survey. The literature review shows that mobile positioning data are usually used in studying urban planning from a macro-scale perspective, such as the spatial structure of a city or even the spatial relationship among cities in a region, while there is few applications from meso-scale and micro-scale perspectives. However, the application of mobile positioning data in a meso level or micro level is equally important as in a macro level. For example, the data could be used to study the problem of residential-working spatial relations, commuting, urban land use, etc.
Description
Proceedings of the IV World Planning Schools Congress, July 3-8th, 2016 : Global crisis, planning and challenges to spatial justice in the north and in the south
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