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

doi:10.18306/dlkxjz.2022.08.007

Abstract

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 G_i^*, 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.

Key words: mobile office, urban-suburban heterogeneity, office location, mobile apps, big data, Wuhan City

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.

Figures/Tables 11

Fig.1

Tab.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

References 34

[1]	李亚格, 兰诚栋. 基于iOS的移动办公系统设计与性能优化[J]. 计算机工程, 2016, 42(7): 22-26.
	[ Li Yage, Lan Chengdong. Design and performance optimization of mobile office system based on iOS. Computer Engineering, 2016, 42(7): 22-26. ]
[2]	宋岐国, 张诗珊, 尚文利. 基于移动办公的烟草企业协同办公系统[J]. 制造业自动化, 2011, 33(10): 78-81.
	[ Song Qiguo, Zhang Shishan, Shang Wenli. Research of cooperative office automation system for tobacco enterprises based on mobile office. Manufacturing Automation, 2011, 33(10): 78-81. ]
[3]	刘雁. OA办公自动化系统在企业中的实际应用价值[J]. 科技资讯, 2009, 7(13): 181-182.
	[ Liu Yan. OA-office automation system in the enterprise's practical application value. Science & Technology Information, 2009, 7(13): 181-182. ]
[4]	威廉·J·米切尔. 伊托邦: 数字时代的城市生活[M].吴启迪, 乔非, 俞晓, 译. 上海: 上海科技教育出版社, 2005.
	[ Mitchell W J. E-topia: Urban life, Jim-but not as we know it. Translated by Wu Qidi, Qiao Fei, Yu Xiao. Shanghai, China: Shanghai Scientific and Technological Education Publishing House, 2005. ]
[5]	唐宁, 蒋红源, 杨恒. 基于3G运营商的移动办公系统应用和分析[J]. 电信科学, 2009, 25(S2): 35-38.
	[ Tang Ning, Jiang Hongyuan, Yang Heng. Application and analysis of mobile office system based on 3G operator. Telecommunications Science, 2009, 25(S2): 35-38. ]
[6]	艾瑞研究院. 重新定义移动办公-2018年中国企业移动办公平台发展洞察[EB/OL]. 2018-01-15 [2021-11-06]. https://www.iresearch.com.cn/Detail/report?id=3130&isfree=0.
	[ IResearch. Redefining mobile Office: Insights into the development of mobile office platform for Chinese enterprises in 2018. 2018-01-15 [2021-11-06]. https://www.iresearch.com.cn/Detail/report?id=3130&isfree=0. ]
[7]	吴勇. 2016中国移动办公全景分析报告[R]. 北京: 移动信息化研究中心, 2016.
	[ WU Yong. China mobile office panoramic analysis report. Beijing, China: Mobile Informatization Research Center, 2016. ]
[8]	Yigitcanlar T, Kamruzzaman M. Smart cities and mobility: Does the smartness of Australian cities lead to sustainable commuting patterns?[J]. Journal of Urban Technology, 2019, 26(2): 21-46. doi: 10.1080/10630732.2018.1476794
[9]	新浪科技. 第48次《中国互联网络发展状况统计报告》发布[EB/OL]. 2020-08-27 [2021-11-06]. https://finance.sina.com.cn/tech/2021-08-27/doc-ikqcfncc5168999.shtml?cref=cj.
	[ Sina Technology. The 48th statistical report on China's internet development. 2020-08-27 [2021-11-06]. https://finance.sina.com.cn/tech/2021-08-27/doc-ikqcfncc5168999.shtml?cref=cj. ]
[10]	Pivo G. The net of mixed beads: Suburban office development in six regions[J]. Journal of the American Planning Association, 1990, 56(4): 457-469. doi: 10.1080/01944369008975449
[11]	MacLaran A, Attuyer K, Williams B. Changing office location patterns and their importance in the perpheral expansion of the Dublin region 1960-2008[J]. Journal of Irish Urban Studies, 2010, 7/8/9: 53-77.
[12]	Daniels P W. Producer services research in the United Kingdom[J]. The Professional Geographer, 1995, 47(1): 82-87. doi: 10.1111/j.0033-0124.1995.00082.x
[13]	Chung L L W. Evaluating office decentralization of a financial center: The case of Hong Kong[J]. Ekistics, 1996, 63: 80-96.
[14]	Gillespie A E. Communications technologies and the future of the city[C]// Proceedings of the 22nd Annual Conference of the British Section of the Regional Science Association. London, UK: Pion, 1992: 67-78.
[15]	Graham S. Information technologies and reconfigurations of urban space[J]. International Journal of Urban and Regional Research, 2001, 25(2): 405-410. doi: 10.1111/1468-2427.00318
[16]	Wong E. Office decentralization in Hong Kong: The case study of Yuen Long New Town[D]. Hong Kong, China: The University of Hong Kong, 2000: 32-36.
[17]	张景秋, 陈叶龙, 张宝秀. 北京市办公业的空间格局演变及其模式研究[J]. 城市发展研究, 2010, 17(10): 87-91.
	[ Zhang Jingqiu, Chen Yelong, Zhang Baoxiu. Analysis on spatial pattern and evolution trend of office industry in Beijing. Urban Studies, 2010, 17(10): 87-91. ] doi: 10.1080/00420988020080131
[18]	张景秋, 陈叶龙, 孙颖. 基于租金的北京城市办公活动经济空间结构解析[J]. 地理科学, 2010, 30(6): 833-838.
	[ Zhang Jingqiu, Chen Yelong, Sun Ying. Spatial analysis on urban internal economic spatial structure based on rent of office buildings in Beijing City. Scientia Geographica Sinica, 2010, 30(6): 833-838. ]
[19]	吴一洲, 吴次芳, 贝涵璐. 转型期杭州城市写字楼空间分布特征及其机制[J]. 地理学报, 2010, 65(8): 973-982. doi: 10.11821/xb201008008
	[ Wu Yizhou, Wu Cifang, Bei Hanlu. The spatial pattern and its evolution mechanism of urban office buildings in the transition period. Acta Geographica Sinica, 2010, 65(8): 973-982. ] doi: 10.11821/xb201008008
[20]	毕秀晶, 汪明峰, 李健, 等. 上海大都市区软件产业空间集聚与郊区化[J]. 地理学报, 2011, 66(12): 1682-1694.
	[ Bi Xiujing, Wang Mingfeng, Li Jian, et al. Agglomeration and suburbanization: A study on the spatial distribution of software industry and its evolution in metropolitan Shanghai. Acta Geographica Sinica, 2011, 66(12): 1682-1694. ]
[21]	温锋华, 许学强. 广州商务办公空间发展及其与城市空间的耦合研究[J]. 人文地理, 2011, 26(2): 37-43.
	[ Wen Fenghua, Xu Xueqiang. The development of business office space of Guangzhou and its coupling relationship with the urban space. Human Geography, 2011, 26(2): 37-43. ]
[22]	张庆, 彭震伟. 基于空间聚类分析的杭州市生产性服务业集聚区分布特征研究[J]. 城市规划学刊, 2016(4): 46-53.
	[ Zhang Qing, Peng Zhenwei. Spatial distribution of producer services in Hangzhou central city based on spatial clustering analysis. Urban Planning Forum, 2016(4): 46-53. ]
[23]	Seravalli G. An introduction to place-based development economics and policy[M]. Cham, Switzerland: Springer, 2015.
[24]	Dadashpoor H, Yousefi Z. Centralization or decentralization? A review on the effects of information and communication technology on urban spatial structure[J]. Cities, 2018, 78: 194-205. doi: 10.1016/j.cities.2018.02.013
[25]	Mack E A. The impact of information and communications technologies (ICTS) on firm location[D]. Bloomington, USA: Indiana University, 2010: 1-154.
[26]	Gaspar J, Glaeser E L. Information technology and the future of cities[J]. Journal of Urban Economics, 1998, 43(1): 136-156. doi: 10.1006/juec.1996.2031
[27]	阎小培, 姚一民, 陈浩光. 改革开放以来广州办公活动的时空差异分析[J]. 地理研究, 2000, 19(4): 359-368. doi: 10.11821/yj2000040005
	[ Yan Xiaopei, Yao Yimin, Chen Haoguang. Temporal and spatial differences of office activities in Guangzhou since late 1970s. Geographical Research, 2000, 19(4): 359-368. ] doi: 10.11821/yj2000040005
[28]	甄茂成, 张景秋, 李孟飞. 北京城市办公集聚区外部环境的主观评价[J]. 地理科学进展, 2017, 36(5): 635-643. doi: 10.18306/dlkxjz.2017.05.011
	[ Zhen Maocheng, Zhang Jingqiu, Li Mengfei. Subjective evaluation of external environment of office space in Beijing. Progress in Geography, 2017, 36(5): 635-643. ] doi: 10.18306/dlkxjz.2017.05.011
[29]	甄峰, 翟青, 陈刚, 等. 信息时代移动社会理论构建与城市地理研究[J]. 地理研究, 2012, 31(2): 197-206.
	[ Zhen Feng, Zhai Qing, Chen Gang, et al. Mobile social theory construction and urban geographic research in the information era. Geographical Research, 2012, 31(2): 197-206. ]
[30]	王劲峰, 廖一兰, 刘鑫. 空间数据分析教程[M]. 北京: 科学出版社, 2010.
	[ Wang Jingfeng, Liao Yilan, Liu Xin. Tutorial on spatial data analysis. Beijing, China: Science Press, 2010. ]
[31]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[ Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017, 72(1): 116-134. ] doi: 10.11821/dlxb201701010
[32]	Farag S, Weltevreden J, Van Rietbergen T, et al. E-shopping in the Netherlands: Does geography matter?[J]. Environment and Planning B: Planning and Design, 2006, 33(1): 59-74. doi: 10.1068/b31083
[33]	宋周莺, 丁疆辉, 刘卫东, 等. 信息技术对中国服装企业空间组织的影响[J]. 地理学报, 2009, 64(4): 435-444.
	[ Song Zhouying, Ding Jianghui, Liu Weidong, et al. Spatial implication of new information and communication technologies on small and medium-sized enterprises: A case study of clothing industry. Acta Geographica Sinica, 2009, 64(4): 435-444. ]
[34]	甄峰, 朱传耿, 赵勇. 信息时代空间结构影响要素分析[J]. 地理与地理信息科学, 2004, 20(5): 98-103.
	[ Zhen Feng, Zhu Chuangeng, Zhao Yong. New influencing factors of regional spatial structure in information era. Geography and Geo-Information Science, 2004, 20(5): 98-103. ]

移动办公APP分类	移动办公App名称	人均有效使用时长/(min/月)
移动办公APP分类	移动办公App名称	2019年	2021年
协同办公	钉钉、企业微信、WPS Office、百度网盘、腾讯会议、阿里云、阿里邮箱、腾讯文档、移动彩云、云之家、微云、今目标、口袋助理、IWORKER工作家、地理空间数据云、奇鱼微办公、工作圈、圈子账本、QQ邮箱、QQ同步助手	5.68	153.69
商务社交	脉脉、Linkedln领英、人脉通、看准、和聊、名片全能王、天下商机、用友IUAP	0.39	10.46
客户管理	销售易CRM、EC、纷亨销客、外勤365、红圈营销、镖狮、爱客CRM、客户关系管理、百销帮CRM、CloudCC CRM、百度营销	0.26	8.18
办公场所租赁	17度写字楼、好租、点点租、空间家、牛办、场易租、WePlusSpace、纳什空间、裸心社、方糖小镇	0.07	3.68

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

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 34

Related Articles 15

Metrics

Comments

Recommended 0

[1]	GAO Zhe, QIU Jiayi, YU Jiayi, ZHU Yuanyuan. Influence of school districts on housing prices and the effect on socio-spatial restructuring: Taking Wuchang District of Wuhan City as a case [J]. PROGRESS IN GEOGRAPHY, 2022, 41(4): 609-620.
[2]	WANG Zilin, LI Zhigang, CHENG Hanbei. The equity of urban park green space accessibility in large Chinese cities: A case study of Wuhan City [J]. PROGRESS IN GEOGRAPHY, 2022, 41(4): 621-635.
[3]	WANG Song, GUO Weihong, SHEN Lei, HUANG Junchang. Spatial and temporal differences of urban land expansion pattern and utilization intensity in Zhengzhou City [J]. PROGRESS IN GEOGRAPHY, 2022, 41(3): 385-395.
[4]	GAN Yilin, ZHU Yuanyuan, LUO Jing, GAO Zhe. Spatiotemporal variation and influencing factors of urban consumer service space in the consumption upgrading era: A case study of Wuhan food markets [J]. PROGRESS IN GEOGRAPHY, 2022, 41(1): 118-130.
[5]	WANG Anqi, PENG Jiandong, REN Peng, YANG Hong, DAI Qi. Impact of the built environment of rail transit stations on the travel behavior of persons with disabilities: Taking 189 rail transit stations in Wuhan City as an example [J]. PROGRESS IN GEOGRAPHY, 2021, 40(7): 1127-1140.
[6]	XIE Bo, WANG Xiao, WU Lei. Exploring the effect of urban greenspace on residents’ mental health using a quasi-natural experiment: Taking Wuhan East Lake Greenway as an example [J]. PROGRESS IN GEOGRAPHY, 2021, 40(7): 1141-1153.
[7]	HUANG Huabing, WANG Xianwei, LIU Lin. A review on urban pluvial floods: Characteristics, mechanisms, data, and research methods [J]. PROGRESS IN GEOGRAPHY, 2021, 40(6): 1048-1059.
[8]	CHENG Xuelan, FANG Yelin, SU Xueqing, LI Jinglong. Spatial distribution characteristics of network structure of tourism flow in five major urban agglomerations of coastal China [J]. PROGRESS IN GEOGRAPHY, 2021, 40(6): 948-957.
[9]	REN Jiayi, WANG Yun. Spatial accessibility of park green space in Huangpu District of Shanghai based on modified two-step floating catchment area method [J]. PROGRESS IN GEOGRAPHY, 2021, 40(5): 774-783.
[10]	ZHAO Pengjun, LUO Jia, HU Haoyu. Spatial match between residents’ daily life circle and public service facilities using big data analytics: A case of Beijing [J]. PROGRESS IN GEOGRAPHY, 2021, 40(4): 541-553.
[11]	LU Xinhai, CAI Dawei, ZENG Chen. Influencing factors of housing price differentiation based on the spatial quantile model: A case study of Wuhan City [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 283-292.
[12]	ZHANG Peng, HU Shougeng, YANG Shengfu, CHENG Peikun. Modeling urban residential land price distribution using multi-source data and ensemble learning: A case of Wuhan City [J]. PROGRESS IN GEOGRAPHY, 2021, 40(10): 1664-1677.
[13]	YANG Yanjie, YIN Dan, LIU Ziwen, HUANG Qingxu, HE Chunyang, WU Kang. Research progress on the space of flow using big data [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1397-1411.
[14]	CHEN Hongxing, YANG Degang, LI Jiangyue, WU Rongwei, HUO Jinwei. Distribution characteristics and influencing factors of commercial center and hotspots based on big data: A case of the main urban area of Urumqi City [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 738-750.
[15]	LIU Xiaoxiao, WU Kang. Change of industrial investment networks in the central core area of the Beijing-Tianjin-Hebei region under the background of non-capital function dispersal [J]. PROGRESS IN GEOGRAPHY, 2020, 39(12): 1972-1984.