清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Recent Development in Pedestrian and Evacuation Dynamics: Bibliographic Analyses, Collaboration Patterns, and Future Directions

行人 计算机科学 动力学(音乐) 数据科学 运输工程 工程类 社会学 教育学
作者
Min Zhou,Hairong Dong,Bin Ning,Fei-Yue Wang
出处
期刊:IEEE Transactions on Computational Social Systems [Institute of Electrical and Electronics Engineers]
卷期号:5 (4): 1034-1048 被引量:11
标识
DOI:10.1109/tcss.2018.2878102
摘要

This paper focuses on the bibliographic analyses and collaboration patterns in the field of pedestrian and evacuation dynamics (PED) research covering the period of 1991–2017. The statistic analyses of most productive authors, institutions, countries/regions, and cited papers, as well as keywords and their trends, are conducted based on the data set collected from the Web of Science. The most productive and high-impact authors, institutions, and countries are identified. The results of bibliographic analyses show that Europe researchers dominate and guide the research of PED in that it not only has the most papers but also has six out of the ten most-cited papers. Helbing Dirk is an influential author in the research of PED field in that he has five out of the ten most-cited papers. Chinese institutions account for 70% of the top 10 most productive institution and three among the top 5 ranks. Meanwhile, researchers from China and USA have published nearly half of the papers in this field. In addition, we generate four networks, i.e., coauthorship network, coinstitution network, cocountry/region network, and document cocitation network to analyze collaboration patterns and evolution of PED research at different levels. The software of Citespace is adopted to visualize the topological interactions among authors, institutions, and countries/regions as well as document cocitations. The degree, betweenness, burst, and PageRank are selected and measured as indicators to identify the key nodes. Finally, some future directions are put forward. The results of this paper provide a better understanding of patterns, trends, and other important factors as a basis for directing research activities, sharing knowledge, and collaborating in the field of PED research.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sevenhill完成签到 ,获得积分0
15秒前
自然的含蕾完成签到 ,获得积分10
15秒前
易一完成签到 ,获得积分10
16秒前
新新新完成签到 ,获得积分10
19秒前
蛋卷完成签到 ,获得积分10
21秒前
玉鱼儿完成签到 ,获得积分10
38秒前
张朔发布了新的文献求助10
1分钟前
mojito完成签到 ,获得积分0
1分钟前
tingting完成签到,获得积分10
1分钟前
prrrratt完成签到,获得积分10
1分钟前
美满惜寒完成签到,获得积分10
1分钟前
BowieHuang完成签到,获得积分0
1分钟前
真的OK完成签到,获得积分0
1分钟前
675完成签到,获得积分10
1分钟前
BMG完成签到,获得积分10
1分钟前
臣臣想睡觉完成签到,获得积分10
1分钟前
洋芋饭饭完成签到,获得积分10
1分钟前
Temperature完成签到,获得积分10
1分钟前
runtang完成签到,获得积分10
1分钟前
yzz完成签到,获得积分10
1分钟前
cityhunter7777完成签到,获得积分10
1分钟前
呵呵哒完成签到,获得积分10
1分钟前
王jyk完成签到,获得积分10
1分钟前
阳光完成签到,获得积分10
1分钟前
qq完成签到,获得积分10
1分钟前
大树完成签到,获得积分10
1分钟前
啪嗒大白球完成签到,获得积分10
1分钟前
zwzw完成签到,获得积分10
1分钟前
Syan完成签到,获得积分10
1分钟前
张浩林完成签到,获得积分10
1分钟前
ys1008完成签到,获得积分10
1分钟前
CGBIO完成签到,获得积分10
1分钟前
guoyufan完成签到,获得积分10
1分钟前
喜喜完成签到,获得积分10
1分钟前
清水完成签到,获得积分10
1分钟前
朝夕之晖完成签到,获得积分10
1分钟前
研友_VZG7GZ应助科研通管家采纳,获得10
1分钟前
1分钟前
liu完成签到 ,获得积分10
1分钟前
勤奋的冬萱完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Electron Energy Loss Spectroscopy 1500
Tip-in balloon grenadoplasty for uncrossable chronic total occlusions 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5789112
求助须知:如何正确求助?哪些是违规求助? 5715854
关于积分的说明 15474250
捐赠科研通 4917013
什么是DOI,文献DOI怎么找? 2646731
邀请新用户注册赠送积分活动 1594421
关于科研通互助平台的介绍 1548867