点击排行
 
正文
全文下载次数:433
2020年第3期   DOI:10.19830/j.upi.2018.195
从出行到活动:国外时空行为调查的演变与发展
From Trips to Activities: Evolution and Development of Spatio-Temporal Behavior Surveys Overseas

焦健 王德

Jiao Jian, Wang De

关键词:出行;活动;时空行为数据;日志调查;调查技术;演变发展

Keywords:Trip; Activity; Spatio-Temporal Behavior Data; Dairy Survey; Survey Technology; Evolution and Development

摘要:

居民时空行为数据是研究社会经济发展规律、城市空间、交通需求的重要定量依据。我国时空行为调查一般以交通出行调查为主,对居民活动信息的调查尚未建立起相应机制,而国外已经发展了家庭出行调查、活动日志调查、时间利用调查等丰富的时空行为信息采集方法。本文回顾了国外居民时空行为调查的演变与发展,以期为我国时空行为调查机制的发展与完善提供经验借鉴。时空行为调查的发展受交通研究范式演进、居民时间利用与活动模式研究的影响;调查内容重点经历了由出行到活动的转变;调查问卷包括出行日志、活动日志、时间利用日志等多种类型;调查方法与技术由横断面调查发展为重复横断面调查、固定样本调查,由纸笔调查等传统调查技术拓展为计算机辅助调查、网络调查、定位技术辅助调查等多种技术形式。


Abstract:

The spatio-temporal behavior data of residents is an important quantitative basis for studying socio-economic development, urban space and transportation demand. Domestic spatio-temporal behavior surveys mainly focus on transportation and trips, while the residents’ activities data has not yet been effectively collected. In comparison, researchers in foreign countries have developed diversified types of surveys, such as household travel survey, activity-dairy survey and time-use survey. This article reviews the development of surveys on residents’ spatio-temporal travel behaviors overseas, including survey content, design, and implementation methods and techniques. It aims to provide reference for Chinese researchers to build up a better spatio-temporal behavior survey system. It concludes that the survey developed by the evolution of traffic research paradigm, residents’ time-use and activity pattern research. The core of the survey shifted from travel to activity. The questionnaire includes many types of diaries such as travel diary, activity diary and time-use diary. Furthermore, the methods and techniques upgraded from cross-sectional surveys to repeated cross-sectional surveys and panel surveys, and from traditional survey techniques such as paper and pencil interviews to computer-aided surveys, network surveys, positioning technology-aided surveys and other technical forms.


版权信息:
基金项目:国家自然科学基金(41971206)
作者简介:

焦健,同济大学建筑与城市规划学院,博士研究生。962544018@qq.com

王德(通信作者),同济大学建筑与城市规划学院,教授,博导。dewang@tongji.edu.cn


译者简介:

参考文献:
  • [1] MOUDON A V, ROUSSEAU G, SOHN D W. Travel indicators and trends in Washington State[R/OL]. U.S. Washington State Department of Transportation. (2005-04) [2018-05-07]. https://www.wsdot.wa.gov/research/reports/fullreports/615.1.pdf.

    [2] WANG J Y, LADITKA S B, PROBST J C, et al. Effects of residence and race on burden of travel for care: cross sectional analysis of the 2001 US National Household Travel Survey[J]. BMC health services research, 2007, 7(1): 40.

    [3] PUCHER J, RENNE J L. Rural mobility and mode choice: evidence from the 2001 National Household Travel Survey[J]. Transportation, 2005, 32(2): 165-186.

    [4] COLLIA D V, SHARP J, GIESBRECHT L. The 2001 National Household Travel Survey: a look into the travel patterns of older Americans[J]. Journal of safety research, 2003, 34(4): 461-470.

    [5] SIKDER S, PINJARI A R. Immobility levels and mobility preferences of the elderly in the United States: evidence from 2009 national household travel survey[J]. Transportation research record: journal of the Transportation Research Board, 2012 (2318): 137-147.

    [6] RECKER W, DUAN J, WANG H. Development of an estimation procedure for an activity-based travel demand model[J]. Computer-aided civil and infrastructure engineering, 2008, 23(7): 483-501.

    [7] HERTKORN G, KRACHT M, HERTKORN G, et al. Analysis of large scale time use survey with respect to travel demand and regional aspects[C]. International Association for Time Use Research (IATUR) Conference, 2002.

    [8] SCHWANEN T, DIJST M J, DIELEMAN F M. Policies for urban form and their impact on travel: the Netherlands experience[J]. Urban studies, 2004, 41(3): 579-603.

    [9] HESS D. Effect of free parking on commuter mode choice: evidence from travel diary data[J]. Transportation research record: journal of the Transportation Research Board, 2001, 1753(1): 35-42.

    [10] 陆化普. 交通规划理论与方法[M]. 北京: 清华大学出版社, 1998: 64-65. 

    [11] 国家统计局社会和科技统计司. 2008 年时间利用调查资料汇编[M]. 中国统计出版社, 2009.

    [12] 柴彦威, 张文佳, 张艳, 等. 微观个体行为时空数据的生产过程与质量管理——以北京居民活动日志调查为例[J]. 人文地理, 2009(6): 1-9.

    [13] 柴彦威, 申悦, 马修军, 等. 北京居民活动与出行行为时空数据采集与管理[J]. 地理研究, 2013, 32(3): 441-451.

    [14] 彼特·琼斯. 近50 年来国际交通研究与政策议程中的范式演进[M] // 柴彦威. 时空间行为研究前沿. 南京: 东南大学出版社, 2014: 20-40.

    [15] 柴彦威, 沈洁. 基于活动分析法的人类空间行为研究[J]. 地理科学, 2008, 28(5): 594-600.

    [16] STOPHER P R. Household travel surveys: cutting-edge concepts for the next century[C]. Transportation Research Board Conference Proceedings. 1996, 10: 11-26.

    [17] BHAT C R, KOPPELMAN F S. A retrospective and prospective survey of time-use research [J]. Transportation, 1999, 26(2): 119-139.

    [18] SANTOS A, MCGUCKIN N, NAKAMOTO H Y, et al. Summary of travel trends: 2009 National Household Travel Survey[R]. U.S. Department of Transportation Federal Highway Administration, 2011.

    [19] HARVEY A S. Time-space diaries: merging traditions[M] // JONES P. Transport survey quality and innovation. Emerald Group Publishing Limited, 2003: 151-180.

    [20] U.S. Department of Transportation Federal Highway Administration. National Household Travel Survey Telephone (CATI) Questionnaire 2009[EB/OL] . [2018-05-07] . https://nhts.ornl . g ov/2009/pub/QuestionnaireFieldDocuments2009.pdf.

    [21] TILAHUN N Y, LEVINSON D M, KRIZEK K J. Trails, lanes, or traffic: valuing bicycle facilities with an adaptive stated preference survey[J]. Transportation research part a: policy & practice, 2007, 41(4): 287-301.

    [22] DELL’OLIO L, IBEAS A, MOURA J L. Paying for parking: improving stated-preference surveys[J]. Transport, 2009, 162(1): 39-45.

    [23] BRADLEY M. Process data for understanding and modelling travel behaviour: quality and future directions[M] // JONES P, STECHER C.

    Travel survey methods: quality and future directions. Emerald Group Publishing Limited, 2006: 491-510.

    [24] JONES P M. ‘HATS’: a technique for investigating household decisions[J]. Environment and planning a, 1979, 11(1): 59-70.

    [25] DOHERTY S T, MILLER E J. A computerized household activity scheduling survey[J]. Transportation, 2000, 27(1): 75-97.

    [26] CARRASCO J A, HOGAN B, WELLMAN B, MILLER E J. Collecting social network data to study social activity-travel behavior: an egocentric approach[J]. Environment & planning b planning & design, 2008, 35(6): 961-980.

    [27] HARVEY A S, TAYLOR M E. Activity settings and travel behaviour: a social contact perspective[J]. Transportation, 2000, 27(1): 53-73.

    [28] AXHAUSEN K W, ZIMMERMANN A, SCH?NFELDER S, et al. Observing the rhythms of daily life: a six-week travel diary[J]. Transportation, 2002, 29(2): 95-124.

    [29] HABIB K M N, MILLER E J, CARRASCO J A. The social dimension of individual’s activity-scheduling: how with whom” relates to activity start time and duration[C]. Proceedings of the 11th World Conference on Transport Research, 2007.

    [30] AXHAUSEN K W. Social networks and travel: some hypotheses[M] // DONAGHY K P, POPPELREUTER S, RUDINGER G. Social dimensions of sustainable transport: transatlantic perspectives. Aldershot: Ashgate, 2005: 90-108.

    [31] AXHAUSEN K W. Draft travel diaries: an annotated catalogue 2nd edition[EB/OL]. [2018-05-07]. https://www.researchgate.net/publication/237558340_Draft_Travel_Diaries_An_Annotated_Catalogue_2nd_Edition.

    [32] HARVEY A S. Guidelines for time use data collection[J]. Social indicators research, 1993, 30(2): 197-228.

    [33] Victorian Government. Victorian Integrated Survey of Travel and Activity (VISTA) travel day form 2013[EB/OL]. [2018-05-07]. https://transport.vic.gov.au/-/media/tfv-documents/vista/6890-dot-pac-vista-survey-a4-bookletweb.pdf?la=en&hash=4190C4F34847854D30CA8369107008A8.

    [34] Puget Sound Regional Council. Puget Sound regional travel study questionnaire 2017[EB/OL]. [2018-05-07]. https://www.psrc.org/householdtravel-survey-program.

    [35] STOPHER P R. Use of an activity-based diary to collect household travel data[J]. Transportation, 1992, 19(2): 159-176.

    [36] STOPHER P R, GREAVES S P. Household travel surveys: where are we going?[J]. Transportation research part a: policy & practice, 2007, 41(5): 367-381.

    [37] JONES P M, DIX M C, CLARKE M I, et al. Understanding travel behaviour[M]. Great Britain: Antony Rowe Limited, 1983.

    [38] ARENTZE T, DIJST M, DUGUNDJI E R, et al. New activity diary format: design and limited empirical evidence[J]. Transportation research record, 2001, 1768(1): 79-88.

    [39] STOPHER P R, WILMOT C G. Development of a prototype time-use diary and application in Baton Rouge, Louisiana[J]. Transportation research record, 2001, 1768(1): 89-98.

    [40] KAGERBAUER M, BRICKA S. Panel, continuous, and cross-sectional travel surveys — Germany’s experience[C]. Proceedings of the Meeting of the Transportation Research Board, 2015.

    [41] STOPHER P R. The travel survey toolkit: where to from here?[J]. Public transit, 2009, 29(6): 15-46.

    [42] ARENTZE T, TIMMERMANS H, HOFMAN F, et al. Data needs, data collection, and data quality requirements of activity-based transport demand models[J]. Transportation research circular, 2000 (E-C008): 30.

    [43] ASAMITSU K, YAMAGUCHI T, NAKATA K, et al. Travel surveys –review of international survey methods[C]. Proceedings of the Australasian Transport Research Forum (ATRF) , 2011.

    [44] KAGERBAUER M, MANZ W. Answer young people just like old people? –impacts and consequences of different household travel survey methods[C]. Proceedings of the New Techniques and Technologies for Statistics (NTTS), 2012.

    [45] MORENCY C, MUNIZAGA M, GREAVES S, et al. A web-based diary and companion smartphone app for travel/activity surveys[J]. Transportation research procedia, 2015(11): 297-310.

    [46] IRAGUEN P, DE DIOS ORTúZAR J. Willingness-to-pay for reducing fatal accident risk in urban areas: an internet-based web page stated preference survey[J]. Accident analysis & prevention, 2004, 36(4): 513-524.

    [47] CARRION C, PEREIRA F C, BALL R, et al. Evaluating future mobility survey: preliminary comparison with traditional travel survey[C]. Proceedings of the Transport Research Board Meeting, 2014.

    [48] SAFI H, ASSEMI B, MESBAH M, et al. An empirical comparison of four technology-mediated travel survey methods[J]. Journal of traffic & transportation engineering, 2017, 4(1): 80-87.

    [49] DOYLE C C, PEREIRA F C, ZHAO F, et al. The future mobility survey: experiences in developing a smartphone-based travel survey in Singapore[J]. Transportation research record: journal of the Transportation Research Board, 2013, 2354: 59-67.


《国际城市规划》编辑部    北京市车公庄西路10号东楼E305/320    100037
邮箱:upi@vip.163.com  电话:010-58323806  传真:010-58323825
京ICP备13011701号-6  京公网安备11010802014223

7764268