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RESEARCH ON IMPACTS OF ICT ON ACTIVITY SPACE OF FEMALE RESIDENTS IN URBAN VILLAGES |
FENG Jian, ZHENG Dai |
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China |
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Abstract ICT, Information and Communication Technologies, is a new concept of information technology and communication technology. Information technology mainly refers to a variety of technologies used in the processing and management of information, and communication technology is information dissemination and transmission technology. Since the 21st century, ICT has been developing rapidly, and has had a profound impact on the daily life of the residents, changing the daily behavior of residents living, working, shopping, transportation, recreation and leisure, leading to the reconstruction of the spatial characteristics of the residents' daily activities. Based on the analysis of information data and spatial data of female residents in urban villages, this paper explores the activity space under the influence of ICT. The data used in this study are from the survey of residents' lives in Beijing, which was conducted in February to March in 2017. The respondents are located in five city villages. The conclusions are as follows. Firstly, by summarizing the characteristics of the network activities of female residents in the village, it is found that women with demographic and socioeconomic characteristics of young, unmarried, higher educational level and better economic status, are the main group of people who conduct online activities. Secondly, with the help of Stata, econometric models are used to explore the activity space of female residents in urban villages under the influence of ICT. It is found that ICT is not a factor affecting the choice of living space but can reduce the spatial restraint of recreational activities. In addition, ICT provides more employment opportunities for female residents in urban villages, and plays an important role in practical work. The prosperity of online shopping depends on the popularity of ICT, and the complementary effect of online shopping on physical shopping is greater than that of substitution.
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Received: 27 November 2020
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[1] |
Cairncross F. The death of distance:A survey of telecommunications[J]. The Economist, 1995,30(9):5-28.
|
[2] |
Golledge R G, Stimson R J. Spatial behavior:A Geographic Perspective[M]. New York:Guilford Press, 1997:1-25.
|
[3] |
Schönfelder S, Axhausen K W. Activity spaces:Measures of social exclusion?[J]. Transport policy, 2003,10(4):273-286.
|
[4] |
申悦,柴彦威,王冬根.ICT对居民时空行为影响研究进展[J].地理科学进展,2011,30(6):643-651.[Shen Yue, Chai Yanwei, Wang Donggen. Research progress on the impact of ict on residents' temporal and spatial behavior[J]. Advances in Geographical Sciences, 2011,30(6):643-651.]
|
[5] |
张永明,甄峰.城市居民网络与实体购物互动模式及空间分异——以南京为例[J]. 经济地理,2017,37(1):15-22.[Zhang Yongming, Zhen Feng. Interaction mode and spatial differentiation between urban residents' network and physical shopping:Taking Nanjing as an example[J]. Economic Geography, 2017,37(1):15-22.]
|
[6] |
Nilles J M. Telecommunications-transportation tradeoff:Options for tomorrow[M]. New York:John Wiley & Sons, Inc., 1976:1-220.
|
[7] |
Koenig B E, Henderson D K, Mokhtarian P L. The travel and emissions impacts of telecommuting for the State of California Telecommuting Pilot Project[J]. Transportation Research Part C:Emerging Technologies, 1996,4(1):13-32.
|
[8] |
甄峰,魏宗财,杨山,等.信息技术对城市居民出行特征的影响[J].地理研究,2009,28(5):1307-1317.[Zhen Feng, Wei Zongcai, Yang Shan, et al. The impact of information technology on the travel characteristics of urban residents[J]. Geographical Research, 2009,28(5):1307-1317.]
|
[9] |
Hoogendoorn-Lanser S, Kalter M J O, Schaap N T W. Impact of different shopping stages on shopping-related travel behaviour:Analyses of the Netherlands Mobility Panel data[J]. Transportation, 2019, 46(2):341-371.
|
[10] |
Farag S, Schwanen T, Dijst M, et al. Shopping online and/or instore? A structural equation model of the relationships between eshopping and in-store shopping[J]. Transportation Research Part A:Policy and Practice, 2007,41(2):125-141.
|
[11] |
Mokhtarian P L, Salomon I, Handy S L. A Taxonomy of Leisure Activities:The Role of ICT[R]. UC Davis:Institute of Transportation Studies, 2004:1-50.
|
[12] |
Mokhtarian P L, Salomon I, Handy S L. The impacts of ICT on leisure activities and travel:A conceptual exploration[J]. Transportation, 2006,33(3):263-289.
|
[13] |
赵霖,甄峰,龙萨金.信息技术对南京城市居民休闲活动与出行的影响[J].人文地理,2013,28(1):56-61.[Zhao Lin, Zhen Feng, Long Sajin. The impact of information technology on the leisure activities and travel of Nanjing urban residents[J]. Human Geography, 2013,28(1):56-61.]
|
[14] |
Szalai A. The Use of Time:Daily Activities of Urban and Suburban Populations in Twelve Countries[M]. The Hague:Mouton & Co, 1972:1-6.
|
[15] |
Robinson J P, Kestnbaum M, Neustadtl A, et al. The Internet and Other Uses of Time[C]//Wellman B, Haythornthwaite C (Eds). The Internet in Everyday Life. Malden, MA:Blackwell, 2002:244-262.
|
[16] |
Kenyon S, Lyons G. Introducing multitasking to the study of travel and ICT:Examining its extent and assessing its potential importance[J]. Transportation Research Part A:Policy and Practice, 2007, 41(2):161-175.
|
[17] |
Couclelis H. From sustainable transportation to sustainable accessibility:Can we avoid a new tragedy of the commons?[C]//Janelle D G, Hodge D C (Eds). Information, Place, and Cyberspace. Berlin:Springer, 2000:341-356.
|
[18] |
Couclelis H. Pizza over the Internet:E-commerce, the fragmentation of activity and the tyranny of the region[J]. Entrepreneurship & Regional Development, 2004,16(1):41-54.
|
[19] |
Lenz B, Nobis C. The changing allocation of activities in space and time by the use of ICT "Fragmentation" as a new concept and empirical results[J]. Transportation Research Part A:Policy and Practice, 2007,41(2):190-204.
|
[20] |
Gould J, Golob T F. Shopping without travel or travel without shopping? An investigation of electronic home shopping[J]. Transport reviews, 1997,17(4):355-376.
|
[21] |
Kenyon S. Internet use and time use:The importance of multitasking[J]. Time & Society, 2008,17(2-3):283-318.
|
[22] |
Schwanen T, Kwan M P. The Internet, mobile phone and spacetime constraints[J]. Geoforum, 2008,39(3):1362-1377.
|
[23] |
和玉兰,甄峰,朱寿佳,等.网络信息时代女性居民日常活动时空特征研究——以南京市为例[J].人文地理,2014,29(2):29-34,68.[He Yulan, Zhen Feng, Zhu Shoujia, et al. Research on the temporal and spatial characteristics of female residents' daily activities in the network information era:Taking Nanjing as an example[J]. Human Geography, 2014,29(2):29-34,68.]
|
[24] |
席广亮,甄峰,魏宗财,等.南京市居民移动信息化水平及其影响因素研究[J]. 经济地理,2012,32(9):97-103.[Xi Guangliang, Zhen Feng, Wei Zongcai, et al. Research on the mobile informatization level of residents in Nanjing and influencing factors[J]. Economic Geography, 2012,32(9):97-103.]
|
[25] |
申静,于进川.个人与家庭信息化应用评价指标体系构建[J].图书情报工作,2012,56(6):46-50.[Shen Jing, Yu Jinchuan. Construction of evaluation index system for personal and family informatization level[J]. Library and Information Service, 2012,56(6):46-50.]
|
[26] |
朱晓清.移动信息技术影响下的南京市居民通勤特征研究[D].南京:南京大学,2013:29-48.[Zhu Xiaoqing. Research on the Characteristics of Nanjing Residents' Commuting under the Influence of Mobile Information Technology[D]. Nanjing:Nanjing University, 2013:29-48.]
|
[27] |
和玉兰.信息时代南京市女性居民日常活动时空间结构研究[D]. 南京:南京大学,2014:45-48.[He Yulan. Research on the Spatial Structure of Daily Activities of Nanjing Female Residents in the Information Age[D]. Nanjing:Nanjing University, 2014:45-48.]
|
[28] |
郭磊贤,刘钊启,吴唯佳. "智慧城市导向发展" 的策略与空间模式[J].规划师,2019,35(7):90-94.[Guo Leixian, Liu Zhaoqi, Wu Weijia. Strategy and spatial pattern of "smart city oriented development"[J]. Planners, 2019,35(7):90-94.
|
[29] |
陈秀欣,冯健.城市居民购物出行等级结构及其演变——以北京市为例[J].城市规划,2009,33(1):22-30.[Chen Xiuxin, Feng Jian. The hierarchical structure and evolution of urban residents' shopping trip:A case study of Beijing[J]. City Planning Review, 2009, 33(1):22-30.]
|
[30] |
莫正玺,叶强.地理学视角下信息通讯技术与城市互动影响研究综述[J].现代城市研究,2020(5):70-79.[Mo Zhengxi, Ye Qiang. A review of the interaction between ICT and cities from the perspective of Geography[J]. Modern Urban Research, 2020(5):70-79.]
|
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