| 近年来移动办公发展的城—郊异质性特征研究——基于2019年与2021年武汉市联通用户手机App使用大数据 |
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| 引用本文： | 牛强,张浩,伍磊,邹文筠.近年来移动办公发展的城—郊异质性特征研究——基于2019年与2021年武汉市联通用户手机App使用大数据[J].地理科学进展,2022,41(8):1428-1439. |
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| 作者姓名： | 牛强 张浩 伍磊 邹文筠 |
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| 作者单位： | 武汉大学城市设计学院,湖北省人居环境工程技术研究中心,武汉 430072 |
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| 基金项目： | 国家自然科学基金项目(51778503) |
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| 摘 要： | 移动办公是信息时代新型的生产办公活动,其发展对大城市办公活动的移动化转型、郊区办公区位提升和城—郊办公区位的优化重组具有重大价值。论文基于2019与2021年武汉市城—郊联通用户的手机App使用大数据以及企业分布数据,运用数理统计、Getis-Ord Gi*与层次空间聚类、地理探测器等方法,探究武汉市移动办公的城—郊异质性特征及演变趋势。研究发现：① 从移动办公人数占比和人均时长看,近郊区非常接近中心城区,且近郊区的增长率高于中心城区,反映了移动办公的扁平化发展趋势。② 从空间分异看,郊区新城的移动办公人数占比、移动办公人均时长的高值区域远多于中心城区,并且在近郊区范围内越远离中心城区,其极大值往往越高,局部集聚程度也越高,表明移动办公对郊区的办公区位具有较好的补足效应。③ 从产业类型和规模看,中心城区的生产性服务业和生活性服务业的移动办公发展水平较高,而近郊区的信息技术业和制造业的发展水平较高。并且中心城区企业数量越多的大规模集聚中心,其移动办公发展水平更高;而近郊区新城中企业数量较少的小规模集聚中心,其移动办公发展水平更高。研究对于明晰移动信息时代城市移动办公活动的空间分布特征,探究不同产业类型的移动办公发展规律,进而实现郊区办公区位优化重组有一定价值,而基于手机App使用大数据的分析方法,也为日益重要的城市线上活动的研究提供了新的渠道。
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| 关 键 词： | 移动办公 城—郊异质性 办公区位 手机App 大数据 武汉市 |
| 收稿时间： | 2022-01-06 |
| 修稿时间： | 2022-05-26 |
Urban-suburban heterogeneity of mobile office development in recent years: Based on mobile office app usage big data of China Unicom users in Wuhan in 2019 and 2021 |
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| NIU Qiang,ZHANG Hao,WU Lei,ZOU Wenjun.Urban-suburban heterogeneity of mobile office development in recent years: Based on mobile office app usage big data of China Unicom users in Wuhan in 2019 and 2021[J].Progress in Geography,2022,41(8):1428-1439. |
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| Authors: | NIU Qiang ZHANG Hao WU Lei ZOU Wenjun |
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| Institution: | School of Urban Design, Wuhan University, Research Center for Hubei Habitat Environmental Engineering & Technology, Wuhan 430072, China |
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| Abstract: | Using mobile office is a new production and office activity in the information era. The development of mobile office is of great value to the digital transformation of office activities in big cities, the improvement of suburban office location, and the optimization and reorganization of urban and suburban office location. Based on the big data of mobile office app usage by users of China Unicom and enterprises in the urban and suburban areas of Wuhan City in 2019 and 2021, this research used conventional mathematical statistics, Getis-Ord Gi*, and hierarchical spatial clustering, as well as geographical detectors to explore the heterogeneity characteristics and trend of change of mobile office in Wuhan. The results show that: 1) From the perspective of the proportion of mobile office workers and average using duration, the suburbs are very close to the urban area, and the growth rate of mobile office usage in the suburbs is higher than that of the urban area, reflecting the flat development trend of mobile office. 2) From the perspective of spatial differentiation, the high value areas of the proportion of mobile office workers and mobile office average using duration in the suburban metro-cities are far more than those in the urban area. And in the surburban area, far more away from the urban area, the higher the most-value is, so is the degree of local agglomeration, indicating that mobile office has a good complementary effect on suburban office location. 3) From the point of view of industry type and size, the mobile office development level of producer and consumer services is higher in the urban area, while the mobile office development level of the information technology and manufacturing industry is higher in the suburban areas. In the urban area, the development level of mobile office is higher in the large-scale agglomeration centers with more enterprises, while in the suburban metro-cities, the development level of mobile office is higher in the small-scale agglomeration centers with fewer enterprises. This research contributes to clarify the spatial distribution characteristics of cities' mobile office activities in the mobile-information era, explore the mobile office development pattern of different industries, and optimize and reorganize the suburban office location. The method based on mobile office app usage using big data to analyze cities' mobile office activities also provides a new reference for probing city online activities. |
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| Keywords: | mobile office urban-suburban heterogeneity office location mobile apps big data Wuhan City |
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