Cultivating Urban Big Data
Ningchuan Xiao,Harvey J. Miller +1 more
- pp 547-565
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TLDR
This chapter discusses the difficulty in making the data useful for the general public, and elaborate on a self-organizing agile approach to developing an urban big data infrastructure.Abstract:
Urban big data often contain spatial and temporal elements that have increasingly become an integral part of various applications and projects such as smart mobility, smart city, and other digitally enhanced urban infrastructure. It is critical to develop an open and collaborative environment so that these data can be used by a wide range of users. This chapter first discusses some characteristics and sources of urban big data. Three hypothetical user stories are described to highlight the potential of these data. After describing the internal data structure of these data and techniques that can be used to retrieve the data, we discuss the difficulty in making the data useful for the general public and elaborate on a self-organizing agile approach to developing an urban big data infrastructure.read more
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The rise of low-cost sensing for managing air pollution in cities
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TL;DR: In this article, the authors illustrate the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.
Journal ArticleDOI
Defining Urban Big Data in Urban Planning: Literature Review
Chih-Hua Wang,Li Yin +1 more
TL;DR: In this paper , the authors present a systematic review of urban big data (UBD) definitions and identify three essential qualities of UBD that differentiate UBD from general big data and benefit urban studies: refinement of both spatiotemporal features and individual attributes at the microlevel, and the capacity and impact to depict, predict, and manage cities.
Journal ArticleDOI
Identifying High-accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-based Method
TL;DR: In this article , a quadtree-based algorithm is developed to continuously partition the image extent until only regions with high detection accuracy remain, referred to as high-accuracy identification regions (HAIRs).
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