【论文】
[25] Xiao L, Ruiter S, Liu L, Song G.et al. Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China[J]. Computers, Environment and Urban Systems, 2021, 86: 101582.
[24]柳林,孙秋远,肖露子*,宋广文,陈建国.涉毒人员日常活动对盗窃警情空间格局影响的时间差异[J].地球信息科学学报,2021,23(12):2187-2200.
[23] Xu C, Xiao L, Song G, et al. The impact of community residents’ occupational structure on the spatial distribution of different types of crimes[J]. Habitat International, 2021, 117: 102435.
[22] 柳林,吴雨菡,宋广文,肖露子.犯罪防控警务策略及其时空效益评估研究进展[J].地球信息科学学报,2021,23(01):29-42.
[21] 柳林,陈德宝,徐冲,龙冬平,肖露子,陈悉.入室盗窃临近重复案件与孤立案件分布的影响因素对比研究[J].澳门太阳集团城网址2开头,2021,41(09):1625-1633.DOI:10.13249/j.cnki.sgs.2021.09.014.
[20] 龙冬平,柳林,陈建国,肖露子,宋广文,徐冲.街头抢劫者前犯罪经历对其后作案地选择的影响[J].澳门太阳集团城网址2开头进展,2020,39(05):815-828.
[19] 张春霞,周素红,柳林,肖露子.建成环境对星级酒店内被盗的影响——以ZG市中心城区为例[J].澳门太阳集团城网址2开头进展,2020,39(05):829-840.
[18] Chen, J.; Liu, L.; Xiao, L.; Xu, C.; Long, D. Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model. ISPRS Int. J. Geo-Inf. 2020, 9, 60. https://doi.org/10.3390/ijgi9010060.
[17] Song G, Liu L, Bernasco W, Liu L, Xiao L, Zhou S, Liao W. Crime Feeds on Legal Activities: Daily Mobility Flows Help to Explain Thieves [J]. Journal of Quantitative Criminology, 2019:1-24. https://doi.org/10.1007/s10940-019-09406-z.
[16] Feng J, Liu L, Ren F, Xiao L. Examining the relationship between neighborhood environment and residential locations of juvenile and adult migrant burglars in China [J]. Cities, 2018,82:10-18. https://doi.org/10.1016/j.cities.2018.04.014.
[15] Song G, Liu L, Bernasco W, Xiao L, Zhou S, Liao W. Testing Indicators of Risk Populations for Theft from the Person across Space and Time: The Significance of Mobility and Outdoor Activity[J]. Journal of Annals of the American Association of Geographers, 2018(2):1-19.
[14] 肖露子,柳林,周素红,宋广文,张春霞,陈建国. ZG市工作日地铁站点扒窃案件的时空分布及其影响因素[J]. 澳门太阳集团城网址2开头,2018,38(8):1227-1234.
[13] 柳林,宋广文,肖露子*,周素红,宋广钦,龙冬平. 不同犯罪类型受害者报警行为特点及其影响因素分析[J]. 澳门太阳集团城网址2开头, 2018,38(12):1998-2005.
[12]柳林,杜方叶,宋广文,龙冬平,姜超,肖露子.犯罪共生空间的类型识别及其特征分析[J].澳门太阳集团城网址2开头,2018,38(08):1199-1209.DOI:10.13249/j.cnki.sgs.2018.08.001.
[11]宋江宇,周素红,柳林,龙冬平,肖露子.日常活动视角下居民健康影响的性别差异——以广州为例[J].澳门太阳集团城网址2开头进展,2018,37(07):999-1010.
[10] Xiao L, Liu L, Song G, Ruiter S, Zhou S. Journey-to-crime distances of residential burglars in China disentangled: Origin and destination effects [J]. ISPRS International Journal of Geo-Information, 2018,7,325.
[9]肖露子,柳林,宋广文,周素红,龙冬平,冯嘉欣. 基于理性选择理论的社区环境对入室盗窃的影响[J]. 太阳集团城研究, 2017,36(12):2479-2491.
[8]宋广文,肖露子,周素红,龙冬平,周淑丽,刘凯. 居民日常活动对扒窃警情时空格局的影响[J]. 太阳集团城学报, 2017, 72(2):356-367.
[7]柳林,杜方叶,肖露子,宋广文,刘凯,姜超. 不同类型道路密度对公共空间盗窃犯罪率的影响——基于ZG市的实证研究[J]. 人文太阳集团城, 2017, 32(6):32-46.
[6]柳林,张春霞,冯嘉欣,肖露子,贺智,周淑丽. ZG市诈骗犯罪的时空分布与影响因素[J]. 太阳集团城学报, 2017, 72(2):315-328.
[5]龙冬平,柳林,周素红,杜方叶,宋广文,肖露子.太阳集团城学视角下犯罪者行为研究进展[J].澳门太阳集团城网址2开头进展,2017,36(07):886-902.
[4] Chen J, Liu L, Zhou S, Xiao L, Song G, et al. Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China[J]. ISPRS International Journal of Geo-Information, 2017, 6(5):138.
[3] Chen J, Liu L, Zhou S, Xiao L, Jiang C. Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China[J]. International Journal of Geo-Information, 2017, 6(8):246.
[2]陈建国,周素红,柳林,肖露子,宋广文.交通拥堵对急救医疗服务时空可达性的影响——以广州市为例[J].澳门太阳集团城网址2开头进展,2016,35(04):431-439.
[1]周婷婷,肖露子,曹凯滨.增城市3维互动全景展示系统的建设与应用[J].太阳集团城信息世界,2012,10(05):60-64.
【专利\计算机软件著作权】
[1]柳林,肖露子,周素红,李秋萍, 宋江宇,宋广文。《交通控制子区优化与自适应调整方法》, ZL201510762739.0. ,2017年10月24日授权。(专利)
[2]周素红,柳林,杨靖芸,郝新华,陈建国,肖露子。《基于路段OD反推的实时交通流分布预测系统》,ZL201410410008.5. ,2016年8月24日授权。(专利)
[3]周素红,李秋萍,柳林,肖露子,陈建国,刘凯。《浮动车GPS数据处理系统V1.0》,2016SR063248。(软件著作权)