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首页> 外文期刊>Land Use Policy >The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical 'big data'
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The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical 'big data'

机译：城市增长模式对新建筑地区城市活力的影响，基于使用地理“大数据”的关联规则分析

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摘要

The emergence of geographical 'big data' provides new opportunities for studying urban issues. This study uses geographical 'big data' on point of interest density (POID), degree of urban function mixing (MIX), location check-in density (CIQD), housing prices (HP), and population change (POPC) to measure the urban vitality of patches of new development that occurred in Chinese cities from 2005 to 2015. The study uses association rule analysis to explore the relationship between different urban growth patterns on urban vitality, and the results indicate that different forms of urban growth have different effects on urban vitality. Infilling is characterized by high values for point of interest density and location check-in density with low values for urban function mixing and mixed values for population change. Edge-expansion is associated with high values for population change and urban function mixtures. Outlying expansion is associated with several negative values for urban vitality, particularly variables related to interactions between people and the environment around them (CIQD). The results indicate that cities may utilize these different forms of urban growth patterns to achieve different goals; for example, infilling may be more effective for office-style development in areas with existing higher population density and urban function mixtures, and edge-expansion may be effective for rapidly absorbing large populations and hosting urban functions that require larger footprints. As such, Chinese cities currently undergoing early stages of development should pursue high-intensity edge-expansion development. To the best of the authors' knowledge, this is the first attempt to study the relationship between urban expansion types and urban vitality through the use of 'big data,' and the results of this study can provide guidance on urban spatial development for government leaders and researchers in the future.
机译：地理“大数据”的出现为研究城市问题提供了新的机会。本研究在兴趣密度（POID），城市功能混合程度（混合），位置检查密度（CIQD），房价（HP）和人口变更（POPC）上的地理“大数据”，衡量从2005年至2015年的中国城市发生的新发展斑块的城市生命力。该研究采用关联规则分析探讨了不同城市成长模式对城市生命力的关系，结果表明，不同形式的城市增长对城市增长有不同的影响城市生命力。 infilling的特征在于兴趣点的高值，并且在城市功能混合和人口变化的混合值的低值的位置检查密度高。边缘扩展与人口变化和城市功能混合的高值相关联。偏远扩展与城市生命力的几个负值有关，特别是与人与人之间的相互作用有关的变量（CIQD）。结果表明，城市可以利用这些不同形式的城市增长模式来实现不同的目标;例如，在现有人口密度和城市功能混合物的地区，infilling可能更有效地在具有较高人口密度和城市功能混合物的地区，并且边缘扩张可能有效地快速吸收大型人口和托管需要更大占地面积的城市功能。因此，目前正在接受发展早期发展的中国城市应追求高强度的边缘扩张发展。据作者所知，这是第一次通过使用“大数据”来研究城市扩张类型和城市活力之间的关系，以及本研究的结果可以为政府领导者的城市空间发展提供指导和未来的研究人员。

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  • 来源
    《Land Use Policy》 |2018年第2018期|共13页
  • 作者

    He Qingsong; He Weishan; Song Yan; Wu Jiayu; Yin Chaohui; Mou Yanchuan;

  • 作者单位

    Huazhong Univ Sci &

    Technol Coll Publ Adm 1037Luoyu Rd Wuhan 430074 Hubei Peoples R China;

    Anhui Transport Consulting &

    Design Inst CO LTD Hefei 230088 Anhui Peoples R China;

    Shenzhen Univ Sch Architecture &

    Urban Planning 388 Nankai Rd Shenzhen Peoples R China;

    Zhejiang Univ Coll Agr &

    Biotechnol Hangzhou 310058 Zhejiang Peoples R China;

    Wuhan Univ Sch Resource &

    Environm Sci 129Luoyu Rd Wuhan 430079 Hubei Peoples R China;

    Sichuan Univ Coll Architecture &

    Environm 29 Jiuyanqiao Wangjiang Rd Chengdu 610064 Sichuan Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土地经济学;
  • 关键词

    Urban growth patterns; Urban vitality; Geographical big data; Association rules analysis;

    机译：城市成长模式;城市生命力;地理大数据;关联规则分析;

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