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SiteResearch on Spatiotemporal Behavior Changes of Pedestrians Based on Intelligent Image Analysis Data: A Case Study of Shanghai Binjiang Green Space

Published: 05 July 2020 Publication History

Abstract

Nowadays, in high-density cities, the full and reasonable use of public space has become an important research topic. This paper applies the population heat data analysis and intelligent image analysis technology to investigate the pedestrian activities in Binjiang Green Space of Xuhui in Shanghai by interviewing, coming to the conclusion of spatiotemporal behavior changes characteristics of pedestrians in Binjiang Green Space. At the same time, some adaptive suggestions are put forward for the planning and management of Binjiang Green Space.

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    BDE '20: Proceedings of the 2020 2nd International Conference on Big Data Engineering
    May 2020
    146 pages
    ISBN:9781450377225
    DOI:10.1145/3404512
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 05 July 2020

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    Author Tags

    1. Binjiang
    2. Intelligent image
    3. Population heat diagram
    4. agglomeration
    5. behavior

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