Tropical Geography ›› 2022, Vol. 42 ›› Issue (6): 916-927.doi: 10.13284/j.cnki.rddl.003498
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Qiang Yea,b(), Chang Tana,b, Yao Zhaoa,b
Received:
2021-08-03
Revised:
2021-09-23
Online:
2022-06-05
Published:
2022-06-29
CLC Number:
Qiang Ye, Chang Tan, Yao Zhao. Agglomeration Characteristics and Factors Influencing Business Office Space in Changsha[J].Tropical Geography, 2022, 42(6): 916-927.
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Table 1
Systematic construction of influencing factors and regression results of OLS mode
职能空间 | 影响因素 | 选取依据 | Robust-Pr [b] | VIF [c] |
---|---|---|---|---|
商业空间 | 购物服务 | 商业空间作为商务办公空间的生活性配套服务,二者协同发展效应所带来的“空间红利”可以提高地块的经济价值 | 0.000 000*** | 2.267 474 |
酒店 | 0.000 000*** | 2.490 389 | ||
交通条件 | 地铁 | 距地铁口出入、公交站点、主干道的距离影响城市内部交通可达性的强弱,高铁站、客运站影响城市对外交通联系及城市门户形象。通过明晰不同交通条件对商务办公空间集聚作用,掌握不同区域选址特征,进而优化城市空间结构 | 0.000 000*** | 2.444 383 |
公交 | 0.033 930* | 2.908 232 | ||
主干道 | 0.000 009*** | 1.492 929 | ||
对外交通 | 0.002 049** | 1.213 286 | ||
休闲空间 | 公园绿地 | 休闲空间可以为商务办公空间带来良好的办公环境,提升办公品质,从而吸引商务办公空间的集聚 | 0.000 002*** | 1.330 684 |
风景名胜 | 0.000 001*** | 1.419 928 | ||
居住空间 | 公寓 | 在不牺牲行业集聚效应的前提下,使区域中居住空间与商务办公空间尽可能靠近,降低职住分离的概率 | 0.003 788** | 3.098 655 |
住宅区 | 0.000 004*** | 2.854 097 |
Table 2
GWR model regression system descriptive statistics
影响因素 | 平均值 | 最小值 | 上四分位值 | 中位值 | 下四分位值 | 最大值 |
---|---|---|---|---|---|---|
购物服务 | -0.045 1 | -1.820 4 | -0.335 6 | -0.009 7 | 0.181 1 | 0.763 6 |
酒店 | -0.037 3 | -2.077 1 | -0.352 4 | -0.004 8 | 0.032 7 | 0.252 9 |
公交 | -0.013 3 | -0.841 6 | -0.063 9 | -0.002 7 | 0.157 4 | 0.426 1 |
主干道 | -0.010 2 | -0.437 1 | -0.082 6 | -0.001 1 | 0.010 4 | 0.072 8 |
公园绿地 | -0.006 3 | -0.668 0 | -0.131 4 | 0.000 2 | 0.015 5 | 0.115 2 |
对外交通 | -0.002 3 | -0.136 3 | -0.013 5 | -0.000 7 | 0.018 0 | 0.057 2 |
地铁 | -0.002 2 | -0.263 1 | -0.024 0 | -0.001 0 | 0.058 2 | 0.247 4 |
公寓 | -0.001 0 | -0.263 6 | -0.014 6 | -0.000 4 | 0.174 3 | 0.514 8 |
风景名胜 | 0.002 2 | -0.304 1 | -0.098 1 | 0.000 4 | 0.174 3 | 0.700 9 |
住宅区 | 0.007 9 | -0.756 3 | -0.053 2 | -0.001 0 | 0.546 5 | 1.250 0 |
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