太阳成8722(中国)有限公司-GREEN NO.1

标题：Coverage inequality and quality of volunteered geographic features in Chinese cities: Analyzing the associated local characteristics using geographically weighted regression作者：Su, Shiliang; Lei, Chaoran; Li, Anyun; Pi, Jianhua; Cai, Zhongliang

来源出版物：APPLIED GEOGRAPHY卷：78 页码：78-93 DOI：10.1016/j.apgeog.2016.11.002 出版年：JAN 2017

摘要：The volunteered geographic information (VGI) gains increasing popularity with the general public and scientific community. However, the optimism about the VGI has been tempered by two critical issues: inequality in data coverage (social justice) and data quality. It therefore requires a better understanding of the mechanism driving VGI contributions and content quality. With a case of China, this paper demonstrates one potential avenue, examining the associations between VGI coverage/quality and local demographic and socioeconomic characteristics. In particular, VGI data are harvested from the OpenStreetMap for 333 cities in China. VGI coverage is measured by the total volume of different geographic features (point, line and polygon); and VGI quality is described from two aspects: completeness and accuracy. Geographically weighted regression (GWR) shows that both demographic and socioeconomic factors have statistically significant influences on VGI coverage and quality. More specifically, densely populous cities with more young, educated and non-agricultural people enjoy higher VGI coverage and quality. Cities with lower VGI coverage and quality are primarily located in the western and southwestern regions where the ethnic minorities concentrate. High VGI coverage and quality are possibly observed in economically developed cities with high marketization degree. Besides, possibility of high VGI coverage and quality occurs in cities with more labor in scientific research and greater percentage of employers in the tertiary industry. The GWR also demonstrates that the strength and nature of the obtained relationships vary across the 333 cities. The spatial non-stationary relationships may partially answer for the controversial empirical conclusions in earlier case studies at different scales. Quantitative analysis (Gini index, Lorenz curve and Moran's I index) further evidences the great inequality in VGI coverage and quality. It can be safely inferred that the differences in engagement and use of VGI, as a new digital divide, can raise troubling concerns on the social justice implications.

入藏号：WOS:000392895900008

文献类型：Article

语种：English

作者关键词：Geographically weighted regression, Volunteered geographic information, Demographic indicators, Socioeconomic indicators, Spatial inequality, OSM

扩展关键词：SPATIAL NON-STATIONARITY; DIGITAL DIVIDE; LANDSCAPE PATTERNS; INFORMATION; OPENSTREETMAP; URBANIZATION; DETERMINANTS; RIDERSHIP; INTERNET; HEALTH

通讯作者地址：Cai, ZL (reprint author), 129 Luoyu Rd, Wuhan, Hubei Province, Peoples R China.

电子邮件地址：shiliangsu@163.com; zlcai@whu.edu.cn

地址：

[Su, Shiliang; Lei, Chaoran; Pi, Jianhua; Cai, Zhongliang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Su, Shiliang] Beijing Inst Surveying & Mapping, Beijing Key Lab Urban Spatial Informat Engn, Beijing, Peoples R China.

[Su, Shiliang] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China.

[Li, Anyun] Changjiang Water Resources Commiss, Network & Informat Ctr, Wuhan, Peoples R China.

[Cai, Zhongliang] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan, Peoples R China.

研究方向：Geography

ISSN：0143-6228

eISSN: 1873-7730

影响因子：2.565