参考文献
[1]BALCH T.Hierarchic social entropy:an information theoretic measure of robot group diversity[J].Autonomous Robots,2000,8(3):209-238.
[2]程小云.基于移动通信数据的城市居民活动特征及其分类研究[D].上海:同济大学,2014.
[3]DUAN Z Y,WANG C,ZHANG H M,et al.Understanding the stability of individual travel patterns based on longitudinal mobile phone data[R].96th Annual Meeting of the Transportation Research Board,Washington,D.C.2017.
[4]霍兰.隐秩序:适应性造就复杂性[M].周晓牧,韩晖,译.上海:上海科技教育出版社,2011.
[5]霍兰.涌现:从混沌到有序[M].陈禹,等,译.上海:上海科学技术出版社,2006.
[6]金世尧,黄红兵,范高俊.面向涌现的多Agent系统研究及其进展[J].计算机学报,2008,31(6):881-895.
[7]克莱因.洞察力的秘密[M].邓力,鞠玮婕,译.北京:中信出版社,2014.
[8]LIEBERMAN E S.Nested analysis as a mixed-method strategy for comparative research[J].American Political Science Review,2005,99(3):435-452.
[9]HONGBO L,AJITH A,MAURICE C.Chaotic daynamic characteristics in swarm intelligence.Applied Soft-Computing,2007,7(3):1019-1026.
[10]SCHNEIDER C M,BELIK V,COURONN É T,et al.Unravelling daily human mobility motifs[J].Journal of The Royal Society Interface,2013,10(84):20130246.
[11]SONG C,QU Z,BLUMM N,et al.Limits of predictability in human mobility[J].Science,2010,327(5968):1018-1021.
[12]宋少飞.基于移动通信数据的居民活动空间分析方法研究[D].上海:同济大学,2016.
[13]孙世超.通勤人群公交方式使用行为分析方法研究[D].上海:同济大学,2017.
[14]The European Local Transport Information Service (ELTIS).Guidelines:developing and implementing a sustainable urban mobility plan[R].2014.
[15]杨东援.大数据环境下城市交通分析技术[M].上海:同济大学出版社,2016.