Article(id=1242139145028575295, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139100795446199, articleNumber=null, orderNo=19, doi=10.3981/j.issn.1000-7857.2021.08.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1600272000000, receivedDateStr=2020-09-17, revisedDate=1614441600000, revisedDateStr=2021-02-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1623148865017, onlineDateStr=2021-06-08, pubDate=1619539200000, pubDateStr=2021-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1623148865017, onlineIssueDateStr=2021-06-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078650002, creator=sys-migrate, updateTime=1774078650002, updator=sys-migrate, issue=Issue{id=1242139100795446199, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='8', pageStart='1', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1619539200000', pubDateStr='2021-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078639454, creator='sys-migrate', updateTime=1774078639454, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=102, endPage=111, ext={EN=ArticleExt(id=1242139150950932569, articleId=1242139145028575295, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Non-linear effects of the built environment on elderly's active travel: An extreme gradient boosting approach, columnId=1242139127177621915, journalTitle=Science & Technology Review, columnName=Exclusive: Actively respond to the aging and promote the construction of livable cities, runingTitle=null, highlight=null, articleAbstract=The active travel (including walking and cycling) is closely related with elderly's mobility, physical and mental health, and quality of life. Hence, it is of great importance for urban and transportation planners and practitioners to examine the impacts of the built environment on elderly's active travel. Among the rich research findings, the existing research tends to focus on the built environment surrounding the living space (usually the departure place) of the elderly, while ignoring the built environment surrounding the destinations. Moreover, in prior studies, the associations between the built environment and the elderly's active travel are oftentimes assumed to be linear or log-linear. Against this backdrop, this study, taking Xiamen as an example, utilizes one of the latest machine learning method, i.e., the Extreme Gradient Boosting Decision Tree model (XGBoost) to disentangle the complex non-linear relationships between the built environment surrounding both departure places and destinations and elderly's active travel. It is found that (1) the trip distance is the most important factor that impacts elderly's propensity of the active travel; (2) the collective relative importance of the built environment variables is much higher than that of the socio-economic variables; (3) obviously, the associations between all built environment variables and elderly's active travel are non-linear and there exist "threshold" effects; (4) for some built environment variables, their impacts on elderly's active travel differ between the departure places and the destinations, while for the others, they are very similar. This study can provide a knowledge base and rich policy implications for the urban and transportation development and planning in China in the era of aging population., authors=LIU Jixiang¹, XIAO Longzhu², WANG Bo³, authorsList=LIU Jixiang, XIAO Longzhu, WANG Bo, authorCompany=1. Faculty of Architecture, the University of Hong Kong, Hong Kong 999077, China;
2. Department of Architecture and Civil Engineering, School of Engineering, City University of Hong Kong, Hong Kong 999077, China;
3. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=wB/iUQpyMb4whOTaKjxAug==, pdfFileSize=1839391, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139148547600877, articleId=1242139145028575295, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=建成环境对老年人活力出行的影响——基于极端梯度提升决策树的研究, columnId=1242139124585542032, journalTitle=科技导报, columnName=专题：积极应对老龄化，促进宜居城市建设, runingTitle=null, highlight=null, articleAbstract=活力出行与老年人移动能力、身心健康和生活品质息息相关。以厦门为案例，采用极端梯度提升决策树模型，探究建成环境和老年人活力出行之间的非线性关系。研究发现：出行距离是影响老年人是否活力出行的最重要因素；建成环境要素的相对重要性远高于社会经济属性；全部建成环境变量与老年人活力出行之间均存在复杂的非线性关系和“阈值”效应；出发地和目的地建成环境变量的影响模式存在异同。, authors=刘吉祥¹, 肖龙珠², 王波³, authorsList=刘吉祥, 肖龙珠, 王波, authorCompany=1. 香港大学建筑学院, 香港 999077;
2. 香港城市大学建筑学与土木工程系, 香港 999077;
3. 中山大学地理科学与规划学院, 广州 510275, correspAuthors=null, authorNote=刘吉祥,博士研究生,研究方向为建成环境与出行行为,电子信箱:u3004679@hku.hk;肖龙珠(共同第一作者),博士研究生,研究方向为建成环境与出行行为,电子信箱:longzxiao2-c@my.cityu.edu.hk, correspAuthorsNote=王波(通信作者),副教授,研究方向为信息通信技术与智慧城市、城市与区域规划、活动空间与交通地理,电子信箱:wangbo68@mail.sysu.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=2TdThUdQ3ajBXu8naHokEQ==, pdfFileSize=1839391, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（41901191）；中央高校基本科研业务费专项（19lgpy42）)}, authors=null, keywords=[Keyword(id=1242139148212052042, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139145028575295, language=CN, orderNo=1, keyword=建成环境), Keyword(id=1242139148295942635, tenantId=1146029695717560320, 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