基于大数据的地铁站点域活力多维评价及时空特征——以西安市为例

IF 3 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Li Wang, Lingling Hu, Xiaoqi Tian
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Multidimensional evaluation and spatiotemporal characteristics of metro station domain vitality based on big data:A case study of Xi’an City
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来源期刊
CiteScore
7.20
自引率
5.10%
发文量
53
审稿时长
>12 weeks
期刊介绍: Progress in Physical Geography is a peer-reviewed, international journal, encompassing an interdisciplinary approach incorporating the latest developments and debates within Physical Geography and interrelated fields across the Earth, Biological and Ecological System Sciences.
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