{"id":58,"date":"2017-08-13T13:27:23","date_gmt":"2017-08-13T13:27:23","guid":{"rendered":"http:\/\/216.24.255.190\/teamsite\/?page_id=58"},"modified":"2020-09-13T06:34:14","modified_gmt":"2020-09-13T06:34:14","slug":"zhanghengcai","status":"publish","type":"page","link":"http:\/\/pervasivegis.group\/teamsite\/members\/zhanghengcai\/","title":{"rendered":"\u5f20\u6052\u624d"},"content":{"rendered":"<p><a><img loading=\"lazy\" class=\"size-full wp-image-56 aligncenter\" src=\"http:\/\/pervasivegis.group\/teamsite\/wp-content\/uploads\/2020\/08\/zhanghengcai.jpg\" alt=\"\" width=\"165\" height=\"210\" \/><\/a><\/p>\n<p style=\"font-size: 80%; text-align: center;\">\u25a0\u00a0 \u00a0\u7535\u5b50\u90ae\u7bb1\uff1azhanghc@lreis.ac.cn<br \/>\n\u25a0\u00a0 \u00a0\u5916\u90e8\u94fe\u63a5\uff1a<a href=\"http:\/\/www.lreis.ac.cn\/kyry\/fyjy\/201705\/t20170512_372517.html\">\u5b9e\u9a8c\u5ba4\u4e3b\u9875<\/a>; <a href=\"https:\/\/scholar.google.com.hk\/citations?user=ys6nhTMAAAAJ\">Google Scholar<\/a><\/p>\n<p style=\"text-indent: 2em;\">\u7537\uff0c1985 \u5e74\u751f\uff0c\u5c71\u4e1c\u6d4e\u5357\u4eba\uff0c\u535a\u58eb\uff0c\u73b0\u4efb\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\u8d44\u6e90\u4e0e\u73af\u5883\u4fe1\u606f\u7cfb\u7edf\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u526f\u7814\u7a76\u5458\uff0c\u53d1\u8868\u5b66\u672f\u8bba\u6587 30 \u4f59\u7bc7\uff0c\u83b7\u5f97\u6388\u6743\u53d1\u660e\u4e13\u5229 2 \u9879\uff0c\u767b\u8bb0\u8f6f\u4ef6\u8457\u4f5c\u6743 5 \u9879\uff0c\u53c2\u4e0e\u4e13\u8457\u64b0\u5199 1 \u90e8\uff0c\u83b7\u7701\u90e8\u59d4\u79d1\u6280\u6210\u679c\u5956 5 \u9879\u3002<\/p>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u7814\u7a76\u5174\u8da3<\/h3>\n<ul>\n<li>\u79fb\u52a8\u5bf9\u8c61\u6570\u636e\u5e93\u3001\u8f68\u8ff9\u6316\u6398\u4e0e\u57ce\u5e02\u8ba1\u7b97\u3001\u65f6\u7a7a\u573a\u666f\u7406\u89e3\u4e0e\u5168\u606f\u5730\u56fe<\/li>\n<\/ul>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u5de5\u4f5c\u7ecf\u5386<\/h3>\n<ul>\n<li>2019\u5e7411\u6708-\u81f3\u4eca\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u8d44\u6e90\u4e0e\u73af\u5883\u4fe1\u606f\u7cfb\u7edf\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4\uff0c\u526f\u7814\u7a76\u5458<\/li>\n<li>2017\u5e7401\u6708-2019\u5e7411\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u8d44\u6e90\u4e0e\u73af\u5883\u4fe1\u606f\u7cfb\u7edf\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4\uff0c\u52a9\u7406\u7814\u7a76\u5458<\/li>\n<li>2013\u5e7407\u6708-2016\u5e7412\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u8d44\u6e90\u4e0e\u73af\u5883\u4fe1\u606f\u7cfb\u7edf\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4\uff0c\u535a\u58eb\u540e<\/li>\n<\/ul>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u53d1\u8868\u8bba\u8457<\/h3>\n<ol>\n<li>Zhang Hengcai, Lu Feng*, Xu Jianqiu. Modeling and Querying Moving Objects with Social Relationships. ISPRS International Journal of Geo-Information. 2016, 5, 121.<\/li>\n<li>Zhang Hengcai, Lu Feng*, Chen Jie, A Line Graph-Based Continuous Range Query Method for Moving Objects on Road Networks, ISPRS International Journal of Geo-Information, 2016, 5, 246.<\/li>\n<li>Zhang Hengcai, Lu Feng*, GSMNet: A Hierarchical Graph Model for Moving Objects in Networks, ISPRS International Journal of Geo-Information, 2017, 2, 126.<\/li>\n<li>Zhang Hengcai, Lu Feng*, Zhou Liang, Duan Yingying, Computing Turn Delay in City Road Network with GPS Collected Trajectories, Proceedings of Ubicomp'2011, ACM 978-1-60558-431-7\/09\/09.<\/li>\n<li>Zhang Hengcai, Lu Feng*, Chen Jie, A Geo-Social Data Model for Moving Objects, International Conference on Data Mining and Big Data 2016, Bali Island, Indonesia, 2016.6.25-6.30<\/li>\n<li>Mingxiao Li, Feng Lu, Hengcai Zhang*&amp; Jie Chen (2018): Predicting future locations of moving objects with deep fuzzy-LSTM networks, Transportmetrica A: Transport Science, DOI: 10.1080\/ 23249935. 2018.155 2334.<\/li>\n<li>Mingxiao Li, Song Gao, Feng Lu, Hengcai Zhang*, Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Computers, Environment and Urban Systems, 2019, 77, DOI: 10.1016\/j.compenvurbsys. 2019.101346.<\/li>\n<li>Naixia Mou, Rongzheng Yuan, Tengfei Yang, Hengcai Zhang*, Jinwen Tang, Teemu Makkonen , Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China, Tourism Management 76 (2020), DOI:10.1016\/j.tourman.2019.103955.<\/li>\n<li>Peixiao Wang, Hengcai Zhang*, Feng Lu. A hybrid Markov and LSTM model for indoor location prediction, IEEE Access, pp. 1\u20131, 2019, doi: 10\/ggfw6m.<\/li>\n<li>Naixia Mou, Yanxin Xie, Tengfei Yang, Hengcai Zhang*and Yoo Ri Kim, The impact of slumping oil price on the situation of tanker shipping along the Maritime Silk Road, Sustainability, 2019, 11, 4796; doi: 10.3390\/su11174796.<\/li>\n<li>Mingxiao Li, Feng Lu, Hengcai Zhang*. Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data. International Journal of Environmental Research and Public Health, vol. 16, no. 22, 2019, doi: 10\/ggfw6q.<\/li>\n<li>Peixiao Wang, Hengcai Zhang*, Feng Lu. Indoor location prediction method for shopping malls based on location sequence similarity. ISPRS International Journal of Geo-Information, vol. 8, no. 11, 2019, doi: 10\/ggfw6p.<\/li>\n<li>Liu Xiliang, Lu Feng, Zhang Hengcai*, Qiu Peiyuan. Intersection delay estimation from floating car data via principal curves: a case study on Beijing\u2019s road network. Frontiers of Earth Science, 2013, 7(2): 206-216.<\/li>\n<li>Qiu Peiyuan, Lu Feng, Zhang Hengcai*, Extracting Traffic Information from Web Texts with a D-S Evidence Theory Based Approach, the 21st International Conference on Geoinformatics 2013, Kaifeng, China, 2013.6.20-6.22<\/li>\n<li>Tao Pei, Weiyi Wang, Hengcai Zhang, Ting Ma, Yunyan Du, Density-based clustering for data containing two types of points, International Journal of Geographical Information Science, 2015, 29(2):175-193.<\/li>\n<li>\u5f20\u6052\u624d\uff0c\u9646\u950b*\uff0c\u9648\u6d01\uff0c\u79fb\u52a8\u5bf9\u8c61\u65f6\u7a7a\u53ca\u793e\u4ea4\u5173\u7cfb\u4e00\u4f53\u5316\u6570\u636e\u6a21\u578b\uff0c\u6b66\u6c49\u5927\u5b66\u5b66\u62a5\uff08\u4fe1\u606f\u79d1\u5b66\u7248\uff09\uff0c2014\uff0c39\uff086\uff09\uff1a711-718.<\/li>\n<li>\u5f20\u6052\u624d\uff0c\u9646\u950b*\uff0c\u9648\u6d01\uff0c\u5fae\u535a\u5ba2\u8574\u542b\u4ea4\u901a\u4fe1\u606f\u7684\u63d0\u53d6\uff0c\u4e2d\u56fd\u56fe\u50cf\u56fe\u5f62\u5b66\u62a5\uff0c2013\uff0c18\uff081\uff09\uff1a123-129.<\/li>\n<li>\u5f20\u6052\u624d\uff0c\u9646\u950b*\uff0c\u9648\u6d01\uff0c\u8def\u7f51\u7a7a\u95f4\u79fb\u52a8\u5bf9\u8c61\u6a21\u578b\u7684\u5e94\u7528\u4e0e\u53d1\u5c55\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c2013\uff0c15\uff083\uff09\uff1a328-337.<\/li>\n<li>\u5f20\u6052\u624d\uff0c\u9646\u950b*\uff0c\u4ec7\u57f9\u5143\uff0c\u9648\u6d01\uff0c\u57fa\u4e8eD-S\u8bc1\u636e\u7406\u8bba\u7684\u5fae\u535a\u8574\u542b\u4ea4\u901a\u4fe1\u606f\u63d0\u53d6\u65b9\u6cd5\uff0c\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\uff0c2015\uff0c29\uff082\uff09\uff1a165-173<\/li>\n<li>\u9646\u950b\u3001\u5f20\u6052\u624d\uff0c\u5927\u6570\u636e\u4e0e\u5e7f\u4e49GIS\uff0c\u6b66\u6c49\u5927\u5b66\u5b66\u62a5\uff08\u4fe1\u606f\u79d1\u5b66\u7248\uff09\uff0c2014\uff0c39\uff086\uff09\uff1a645-654.<\/li>\n<li>\u4ec7\u57f9\u5143\u3001\u5f20\u6052\u624d*\u3001\u9646\u950b\uff0c\u4e92\u8054\u7f51\u6587\u672c\u8574\u542b\u9053\u8def\u4ea4\u901a\u4fe1\u606f\u63d0\u53d6\u7684\u6a21\u5f0f\u5339\u914d\u65b9\u6cd5\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c2015\uff0c17(4):416-422.<\/li>\n<li>\u5218\u5eb7\u3001\u6bb5\u6ee2\u6ee2\u3001\u5f20\u6052\u624d*\uff0c\u57fa\u4e8e\u8def\u7f51\u62d3\u6251\u5c42\u6b21\u6027\u8868\u8fbe\u7684\u9a7e\u8f66\u8def\u5f84\u89c4\u5212\u65b9\u6cd5\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c17(9): 1039-1046.<\/li>\n<li>\u4ec7\u57f9\u5143\u3001\u5f20\u6052\u624d\u3001\u4f59\u4e3d\u3001\u9646\u950b\uff0c\u5fae\u535a\u5ba2\u8574\u542b\u4ea4\u901a\u4e8b\u4ef6\u4fe1\u606f\u62bd\u53d6\u7684\u81ea\u52a8\u6807\u6ce8\u65b9\u6cd5\uff0c\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\uff0c2016.<\/li>\n<li>\u725f\u4e43\u590f\u3001\u5f20\u6052\u624d\u3001\u9648\u6d01\u3001\u5f20\u7075\u5148\u3001\u6234\u6d2a\u78ca\uff0c\u8f68\u8ff9\u6570\u636e\u6316\u6398\u57ce\u5e02\u5e94\u7528\u7814\u7a76\u7efc\u8ff0\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c17(10): 1136-1142.<\/li>\n<li>\u4f59\u4e3d\u3001\u9646\u950b\u3001\u5f20\u6052\u624d\uff0c\u7f51\u7edc\u6587\u672c\u8574\u6db5\u5730\u7406\u4fe1\u606f\u62bd\u53d6:\u7814\u7a76\u8fdb\u5c55\u4e0e\u5c55\u671b\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c2015\uff0c17(2): 127-134.<\/li>\n<li>\u5468\u4eae\u3001\u9646\u950b\u3001\u5f20\u6052\u624d\uff0c\u57fa\u4e8e\u52a8\u6001\u4e2d\u4ecb\u4e2d\u5fc3\u6027\u7684\u57ce\u5e02\u9053\u8def\u7f51\u5b9e\u65f6\u5206\u5c42\u65b9\u6cd5\uff0c\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5\uff0c2012\uff0c14\uff083\uff09\uff1a292-298.<\/li>\n<\/ol>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u79d1\u7814\u9879\u76ee<\/h3>\n<ol>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1\u9879\u76ee\uff0c\u79fb\u52a8\u5bf9\u8c61\u591a\u7ef4\u7d22\u5f15\u4e0e\u8054\u5408\u67e5\u8be2\u65b9\u6cd5\uff0c2015\/01-2017\/12<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\uff0c\u5ba4\u5185\u591a\u6e90\u5f02\u6784\u65f6\u7a7a\u6570\u636e\u4e00\u4f53\u5316\u5efa\u6a21\u4e0e\u8054\u5408\u67e5\u8be2\uff0c2018\/01-2020\/12<\/li>\n<li>\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u5b50\u8bfe\u9898\uff0c\u5ba4\u5185\u5927\u6570\u636e\u805a\u5408\u4e0e\u5206\u6790\u6280\u672f\uff0c2016\/07-2020\/12<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\u8bfe\u9898\uff0c\u5730\u7406\u77e5\u8bc6\u56fe\u641c\u7d22\u5f15\u64ce\u6784\u5efa\u6280\u672f\uff0c2017\/01-2021\/12<\/li>\n<li>\u4e2d\u56fd\u79d1\u5b66\u9662\u91cd\u70b9\u90e8\u7f72\u9879\u76ee\uff0c\u5317\u6781\u822a\u9053\u822a\u8fd0\u73af\u5883\u53d8\u5316\u4e0e\u6d77\u6d0b\u8fd0\u8f93\u683c\u5c40\uff0c2017\/01-2019\/12<\/li>\n<\/ol>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u83b7\u5956\u60c5\u51b5<\/h3>\n<ol>\n<li>2014\u5e74\u6d4b\u7ed8\u79d1\u6280\u8fdb\u6b65\u5956\u4e8c\u7b49\u5956<\/li>\n<li>2015\u5e74\u5317\u4eac\u5e02\u79d1\u5b66\u6280\u672f\u5956\u4e00\u7b49\u5956<\/li>\n<li>2016\u5e74\u6e56\u5317\u7701\u79d1\u6280\u8fdb\u6b65\u5956\u4e00\u7b49\u5956<\/li>\n<\/ol>\n<hr \/>\n<h3 style=\"color: #0c6eb6;\">\u7814\u7a76\u751f\u62db\u751f\u4e0e\u57f9\u517b<\/h3>\n<ul>\n<li>\u62db\u751f\u4e13\u4e1a\uff1a\u5730\u56fe\u5b66\u4e0e\u5730\u7406\u4fe1\u606f\u7cfb\u7edf<\/li>\n<li>\u62db\u751f\u65b9\u5411\uff1a\u8f68\u8ff9\u6570\u636e\u6316\u6398\u3001\u79fb\u52a8\u5bf9\u8c61\u6570\u636e\u5e93\u3001\u57ce\u5e02\u8ba1\u7b97<\/li>\n<\/ul>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>\u25a0\u00a0 \u00a0\u7535\u5b50\u90ae\u7bb1\uff1azhanghc@lreis.ac.cn \u25a0\u00a0 \u00a0\u5916\u90e8\u94fe\u63a5\uff1a\u5b9e\u9a8c\u5ba4\u4e3b\u9875; Google Sch <a href=\"http:\/\/pervasivegis.group\/teamsite\/members\/zhanghengcai\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about \u5f20\u6052\u624d<\/span>[&hellip;]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":857,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/58"}],"collection":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":22,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":1448,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/58\/revisions\/1448"}],"up":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/857"}],"wp:attachment":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}