Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records

被引:165
作者
Jarv, Olle [1 ,2 ]
Ahas, Rein [1 ]
Witlox, Frank [2 ]
机构
[1] Univ Tartu, Dept Geog, Vanemuise 46, EE-51014 Tartu, Estonia
[2] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
关键词
Spatial behaviour; Activity space; Monthly variability; Mobile phone data; Longitudinal data; Estonia; TO-DAY VARIABILITY; TRAVEL BEHAVIOR; URBAN TRAVEL; TIME; MODEL; PRISM; LIFE; ACCESSIBILITY; BIOGRAPHIES; LOCATIONS;
D O I
10.1016/j.trc.2013.11.003
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Human activity-travel behaviour (ATB) is a complex pattern of paths and activities in space and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and seasonal routines together with strong variety seeking behaviour. Daily habitual travel patterns are usually taken as a basis, but for transportation planners more knowledge is needed on longitudinal trends in human ATB. Empirical data on prolonged perspective are hard to come by while mobile phone based call detail records could be one means of narrowing this research gap. By implementing this method, the present study attempts to provide new insights on individual monthly spatial travel behaviour. Using call detail records obtained from a set of anonymous mobile phone users, we examined their activity locations and activity spaces for 12 consecutive months. We found modest monthly variation in the number of activity locations, whereas there were great variations in the sizes of individual activity spaces. The monthly variation in individual spatial behaviour is explained up to 17% by seasonality, although the variance is predominantly attributed to individual factors and results indicate significant intrapersonal monthly variability. Findings suggest new avenues for future work on ATB from a longitudinal perspective. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:122 / 135
页数:14
相关论文
共 89 条
[1]   Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones [J].
Ahas, Rein ;
Silm, Siiri ;
Jarv, Olle ;
Saluveer, Erki ;
Tiru, Margus .
JOURNAL OF URBAN TECHNOLOGY, 2010, 17 (01) :3-27
[2]  
[Anonymous], DOTRSPADPB2793
[3]  
[Anonymous], 2010, URBAN RHYTHMS TRAVEL
[4]  
[Anonymous], 1993, DETECT HANDLE OUTLIE
[5]  
[Anonymous], 1995, Survey Methods for Transport Planning
[6]   Tracking survey for individual travel behaviour using mobile communication instruments [J].
Asakura, Y ;
Hato, E .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2004, 12 (3-4) :273-291
[7]   Fatigue in long-duration travel diaries [J].
Axhausen, K. W. ;
Loechl, M. ;
Schlich, R. ;
Buhl, T. ;
Widmer, P. .
TRANSPORTATION, 2007, 34 (02) :143-160
[8]  
Axhausen K.W., 2007, Mobilities, V2, P15, DOI DOI 10.1080/17450100601106203
[10]   Introduction to special section: mobile phones in cross-cultural context: Sweden, Estonia, the USA and Japan [J].
Baron, Naomi S. .
NEW MEDIA & SOCIETY, 2010, 12 (01) :3-11