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Proceedings 2017, 1(3), 153; doi:10.3390/IS4SI-2017-04009

Towards Information Ecosystem for Urban Planning—The Application of Video Data

1
Chengdu Institute of Planning & Design, No. 399 Fucheng Avenue, 610041 Chengdu, China
2
College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, 610065 Chengdu, China
3
Faculty of Computer Science, University of Sunderland, St Peters Campus, SR6 0DD, UK
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
*
Author to whom correspondence should be addressed.
Published: 9 June 2017
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Abstract

In this study we present a new ecosystem for urban planning which highly depended on a variety of basic information. From information ecology view, the urban planning process could be seen as an ecological chain with the conversion of “survey—analysis—planning-implementation”. Over decades’ urban researchers usually focus on the conversion of “planning” and “implementation”, while less effort has been made in the “survey” and “analysis” part. Most of works only collect limited data from which little information can be obtained describing human activity. In order to improve the information ecosystem for urban planning, we first introduces “Street Vibrancy Assessment based on Video Data” into urban planning, focusing on the understanding of human activity. Compared with other data, video data is relevant more accurate and more reliable at micro-scale. Based on video data, an urban planning case is designed and discussed. In such case, the human mobility and activity parameters based on video data are analyzed and fed into a specific calculation model to get the external representation of street vibrancy. The correlation between the external representation and the constituent elements of the street vibrancy are exploited afterward for the assessment. Finally the assessment results can be used to guide the “planning” and “implementation” of the urban planning ecosystem.
Keywords: urban planning; street vibrancy; mobility and activity; video data urban planning; street vibrancy; mobility and activity; video data
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Han, L.; Qing, L.; Peng, Y.; He, X. Towards Information Ecosystem for Urban Planning—The Application of Video Data. Proceedings 2017, 1, 153.

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