• Journal of Geo-information Science
  • Vol. 22, Issue 5, 997 (2020)
Jiansi YANG1,1, Shuai LIU1,1, Yandong WANG2,2,*, and Mingsheng LIAO2,2
Author Affiliations
  • 1.武汉大学城市设计学院,武汉 430072
  • 1School of Urban Design, Wuhan University, Wuhan 430072, China
  • 2.武汉大学测绘遥感信息工程国家重点实验室,武汉 430079
  • 2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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    DOI: 10.12082/dqxxkx.2020.190620 Cite this Article
    Jiansi YANG, Shuai LIU, Yandong WANG, Mingsheng LIAO. The Assessment and Analysis of the Phenomenon of Vacancy within Wuhan City Using Multi-Source Datasets[J]. Journal of Geo-information Science, 2020, 22(5): 997 Copy Citation Text show less
    Research frame work for assessment and analysis of the phenomenon of vacancy
    Fig. 1. Research frame work for assessment and analysis of the phenomenon of vacancy
    Pre-processed night-time light and coherence of Wuhan city
    Fig. 2. Pre-processed night-time light and coherence of Wuhan city
    Classification process of function of street-block of Wuhan city
    Fig. 3. Classification process of function of street-block of Wuhan city
    Visualization of vacancy index of Wuhan city
    Fig. 4. Visualization of vacancy index of Wuhan city
    Vacancy index, night-time light, coherence, street view in four areas
    Fig. 5. Vacancy index, night-time light, coherence, street view in four areas
    Visualization of influencing factors for the phenomen on of vacancy of Wuhan city
    Fig. 6. Visualization of influencing factors for the phenomen on of vacancy of Wuhan city
    Relationship between parameters of random forest model and model accuracy
    Fig. 7. Relationship between parameters of random forest model and model accuracy
    Refined vacancy index of Wuhan city after random forest fitting
    Fig. 8. Refined vacancy index of Wuhan city after random forest fitting
    Analysis of vacancy index of subdistrict office and the importance of influencing factors for the phenomenon of vacancy
    Fig. 9. Analysis of vacancy index of subdistrict office and the importance of influencing factors for the phenomenon of vacancy
    空间活力营造原则量化的空置现象影响因素
    街道可达性到街道的距离D
    集成度I,表示系统中某一道路与其它道路集聚或离散的程度。
    穿行度C,表示被其他最短路径穿行的可能性。
    活动强度与形态人流密度count
    所在街区属于何种类型(居民区,商业区等)
    街区混合度街区功能混合度H
    街区建筑年代混合度(高,低)
    Table 1. Influencing factors of phenomenon of vacancy quantified by space vitality
    Jiansi YANG, Shuai LIU, Yandong WANG, Mingsheng LIAO. The Assessment and Analysis of the Phenomenon of Vacancy within Wuhan City Using Multi-Source Datasets[J]. Journal of Geo-information Science, 2020, 22(5): 997
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