生活方式视角下的时空行为研究进展

doi:10.18306/dlkxjz.2016.10.011

Abstract

Abstract:

China's urban transformation has brought about heterogeneous social groups and diverse lifestyles. Meeting the social needs of diverse groups has become an important goal of people-oriented urban planning. Therefore more studies are required to investigate differences in individual behavior at the micro level. The concept of lifestyle, which represents both individual's orientation to their lives and behavior choice, has drawn increasing attention from urban geographers, transportation researchers, and urban planners. With the acceleration of modernization in urban areas and increased significance of individual choice, the interactions among lifestyle, urban space, and individual behavior are even more enhanced. Lifestyle has an essential influence on individual's behavior in daily life, leading to increased intergroup differences in individual behavior and coping strategy to space policy. Thus, scholars have argued that more behavioral studies from the perspective of lifestyle are needed. Even though the lifestyle concept has been used in behavioral studies in Western countries since the 1970s, empirical studies investigating the interactions among lifestyle, urban space, and individual behavior only boomed in the last 10 years and there exist very few behavioral studies from the perspective of lifestyle in China. Based on time geography and activity-based approach, this article reviews the progress of behavioral studies from the perspective of lifestyle in China and abroad. First, we summarize the two key theoretical foundations of this field. We point out that the life path-daily path dialectic in time geography and hierarchical decision model in activity-based approach are essential theory about the relationship among lifestyle, urban space, and individual behavior. Then, we further review the two trends in behavioral studies based on lifestyle. One is the quantitative measurements of lifestyle group clusters based on different indices. There are complex factors of lifestyle, including socio-demographics, urban form, attitude and value, and space-time behavior. Space-time behavior has become a key factor to measure lifestyle. Another is to understand behavioral patterns among lifestyle groups using complicate models. Existing studies have examined the impact of lifestyle on space-time behavior in daily life, and found that there are great behavior differences between lifestyle groups. By reviewing the state-of-the-art research of this field, we indicate that lifestyle perspective can provide a new method for Chinese behavioral studies to understand the complex socio-spatial transition in urban China.

Key words: space-time behavior, lifestyle, social equality, quality of life, influencing mechanism

Na TA, Yue SHEN, Yanwei CHAI. Progress in research from a lifestyle perspective of space-time behavior[J].PROGRESS IN GEOGRAPHY, 2016, 35(10): 1279-1287.

Figures/Tables 2

References 49

[1]	蔡嘉璐, 王德, 朱玮. 2011. 南京东路商业步行街消费者行为变化研究: 2001年与2007年的比较[J]. 人文地理, 26(6): 89-97.
	[Cai J L, Wang D, Zhu W.2011. Study on changes of consumer behavior in east Nanjing Road: A comparison of the year 2001 and 2007[J]. Human Geography, 26(6): 89-97.]
[2]	柴彦威, 塔娜. 2013. 中国时空间行为研究进展[J]. 地理科学进展, 32(9): 1362-1373. doi: 10.11820/dlkxjz.2013.09.006
	[Chai Y W, Ta N.2013. Progress in space-time behavior research in China[J]. Progress in Geography, 32(9): 1362-1373.] doi: 10.11820/dlkxjz.2013.09.006
[3]	方创琳, 周尚意, 柴彦威, 等. 2011. 中国人文地理学研究进展与展望[J]. 地理科学进展, 30(12): 1470-1478. doi: 10.11820/dlkxjz.2011.12.002
	[Fang C L, Zhou S Y, Chai Y W, et al.2011. Updated progress and perspectives of the discipline of human geography in China[J]. Progress in Geography, 30(12): 1470-1478.] doi: 10.11820/dlkxjz.2011.12.002
[4]	冯健, 周一星. 2004. 郊区化进程中北京城市内部迁居及相关空间行为: 基于千份问卷调查的分析[J]. 地理研究, 23(2): 227-242.
	[Feng J, Zhou Y X.2004. Intra-urban migration and correlative spatial behavior in Beijing in the process of suburbanization: Based on 1000 questionnaires[J]. Geographical Research, 23(2): 227-242.]
[5]	李斐然, 冯健, 刘杰, 等. 2013. 基于活动类型的郊区大型居住区居民生活空间重构: 以回龙观为例[J]. 人文地理, 28(3): 27-33, 113.
	[Li F R, Feng J, Liu J, et al.2013. The life time and space reconfiguration of residents in large communities in the context of suburbanization: A case study of Huilongguan[J]. Human Geography, 28(3): 27-33, 113.]
[6]	宁越敏. 2014. 中国推进新型城镇化战略的思考[J]. 上海城市规划, (1): 43-46. doi: 10.3969/j.issn.1673-8985.2014.01.007
	[Ning Y M.2014. Re-thinking the development strategy of new-type urbanization in China[J]. Shanghai Urban Planning Review, (1): 43-46.] doi: 10.3969/j.issn.1673-8985.2014.01.007
[7]	秦萧, 甄峰, 熊丽芳, 等. 2013. 大数据时代城市时空间行为研究方法[J]. 地理科学进展, 32(9): 1352-1361. doi: 10.11820/dlkxjz.2013.09.005
	[Qin X, Zhen F, Xiong L F, et al.2013. Methods in urban temporal and spatial behavior research in the big data era[J]. Progress in Geography, 32(9): 1352-1361.] doi: 10.11820/dlkxjz.2013.09.005
[8]	申悦, 柴彦威. 2013. 基于GPS数据的北京市郊区巨型社区居民日常活动空间[J]. 地理学报, 68(4): 506-516.
	[Shen Y, Chai Y W.2013. Daily activity space of suburban mega-community residents in Beijing based on GPS data[J]. Acta Geographica Sinica, 68(4): 506-516.]
[9]	塔娜, 柴彦威, 关美宝. 2015. 北京郊区居民日常生活方式的行为测度与空间: 行为互动[J]. 地理学报, 70(8): 1271-1280. doi: 10.11821/dlxb201508007
	[Ta N, Chai Y W, Kwan M P.2015. Suburbanization, daily lifestyle and space-behavior interaction in Beijing[J]. Acta Geographica Sinica, 70(8): 1271-1280.] doi: 10.11821/dlxb201508007
[10]	郑思齐, 曹洋. 2009. 居住与就业空间关系的决定机理和影响因素: 对北京市通勤时间和通勤流量的实证研究[J]. 城市发展研究, 16(6): 29-35. doi: 10.3969/j.issn.1006-3862.2009.06.006
	[Zheng S Q, Cao Y.2009. The determinants of jobs-housing spatial relationship in Beijing[J]. Urban Studies, 16(6): 29-35.] doi: 10.3969/j.issn.1006-3862.2009.06.006
[11]	周素红, 刘玉兰. 2010. 转型期广州城市居民居住与就业地区位选择的空间关系及其变迁[J]. 地理学报, 65(2): 191-201.
	[Zhou S H, Liu Y L.2010. The situation and transition of jobs-housing relocation in Guangzhou, China[J]. Acta Geographica Sinica, 65(2): 191-201.]
[12]	Bagley M N, Mokhtarian P L.2002. The impact of residential neighborhood type on travel behavior: A structural equations modeling approach[J]. The Annals of Regional Science, 36(2): 279-297.
[13]	Beck U.1992. Risk society: Towards a new modernity[M]. London, UK: SAGE Publications.
[14]	Ben-Akiva M, Bowman J L.1998. Integration of an activity-based model system and a residential location model[J]. Urban Studies, 35(7): 1131-1153. doi: 10.1080/0042098984529
[15]	Ben-Akiva M, Bowman J L, Gopinath D.1996. Travel demand model system for the information era[J]. Transportation, 23(3): 241-266. doi: 10.1007/BF00165704
[16]	Cao X Y, Mokhtarian P L, Handy S L.2009. Examining the impacts of residential self-selection on travel behaviour: A focus on empirical findings[J]. Transport Reviews, 29(3): 359-395. doi: 10.1080/01441640902808441
[17]	Chapin Jr F S.1974. Human activity patterns in the city: Things people do in time and in space[M]. New York: John Wiley & Sons.
[18]	Choo S, Mokhtarian P L.2004. What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice[J]. Transportation Research Part A: Policy and Practice, 38(3): 201-222. doi: 10.1016/j.tra.2003.10.005
[19]	Etminani-Ghasrodashti R, Ardeshiri M.2015. Modeling travel behavior by the structural relationships between lifestyle, built environment and non-working trips[J]. Transportation Research Part A: Policy and Practice, 78: 506-518. doi: 10.1016/j.tra.2015.06.016
[20]	Fan Y L, Khattak A.2012. Time use patterns, lifestyles, and sustainability of nonwork travel behavior[J]. International Journal of Sustainable Transportation, 6(1): 26-47. doi: 10.1080/15568318.2011.553770
[21]	Gärling T, Kwan M P, Golledge R G.1994. Computational-process modelling of household activity scheduling[J]. Transportation Research Part B: Methodological, 28(5): 355-364.
[22]	Giddens A.1984. The constitution of society[M]. Berkeley, CA: University of California Press.
[23]	Hägerstrand T.1970. What about people in regional science[J]. Papers of the Regional Science Association, 24(1): 6-21.
[24]	Hägerstrand T.1982. Diorama, path and project[J]. Tijdschrift voor Economische en Sociale Geografie, 73(6): 323-339.
[25]	Hildebrand E D.2003. Dimensions in elderly travel behaviour: A simplified activity-based model using lifestyle clusters[J]. Transportation, 30(3): 285-306. doi: 10.1023/A:1023949330747
[26]	Kitamura R.2009. Life-style and travel demand[J]. Transportation, 36(6): 679-710. doi: 10.1007/s11116-009-9244-6
[27]	Krizek K.2006. Lifestyles, residential location decisions, and pedestrian and transit activity[J]. Transportation Research Record: Journal of the Transportation Research Board, 1981: 171-178. doi: 10.3141/1981-25
[28]	Krizek K J, Waddell P.2002. Analysis of lifestyle choices: Neighborhood type, travel patterns, and activity participation[J]. Transportation Research Record: Journal of the Transportation Research Board, 1807: 119-128. doi: 10.3141/1807-15
[29]	Lee J Y, Kwan M P.2011. Visualisation of socio-spatial isolation based on human activity patterns and social networks in space-time[J]. Tijdschrift voor Economische en Sociale Geografie, 102(4): 468-485. doi: 10.1111/j.1467-9663.2010.00649.x
[30]	Lenntorp B.2004. Path, prism, project, pocket and population: An introduction[J]. Geografiska Annaler: Human Geography, 86(4): 223-226. doi: 10.1111/j.0435-3684.2004.00170.x
[31]	Lin H Z, Lo H P, Chen X J.2009. Lifestyle classifications with and without activity-travel patterns[J]. Transportation Research Part A: Policy and Practice, 43(6): 626-638. doi: 10.1016/j.tra.2009.04.002
[32]	McQuoid J, Dijst M.2012. Bringing emotions to time geography: The case of mobilities of poverty[J]. Journal of Transport Geography, 23: 26-34. doi: 10.1016/j.jtrangeo.2012.03.019
[33]	Ohnmacht T, Götz K, Schad H.2009. Leisure mobility styles in Swiss conurbations: Construction and empirical analysis[J]. Transportation, 36(2): 243-265. doi: 10.1007/s11116-009-9198-8
[34]	Pred A.1981a. Production, family, and free-time projects: A time-geographic perspective on the individual and societal change in nineteenth-century U.S. cities[J]. Journal of Historical Geography, 7(1): 3-36. doi: 10.1016/0305-7488(81)90082-7
[35]	Pred A.1981b. Social reproduction and the time-geography of everyday life[J]. Geografiska Annaler: Human Geography, 63(1): 5-22. doi: 10.2307/490994
[36]	Reichman S.1977. Instrumental and life-style aspects of urban travel behavior[J]. Transportation Research Record: Journal of the Transportation Research Board, 649: 38-42.
[37]	Ruiter E R, Ben-Akiva M E.1978. Disaggregate travel demand models for the San Francisco Bay area[J]. Transportation Research Record: Journal of the Transportation Research Board, 673: 121-128.
[38]	Salomon I, Ben-Akiva M.1983. The use of the life-style concept in travel demand models[J]. Environment and Planning A, 15(5): 623-638. doi: 10.1068/a150623
[39]	Scheiner J.2010. Social inequalities in travel behaviour: Trip distances in the context of residential self-selection and lifestyles[J]. Journal of Transport Geography, 18(6): 679-690. doi: 10.1016/j.jtrangeo.2009.09.002
[40]	Scheiner J, Kasper B.2003. Lifestyles, choice of housing location and daily mobility: The lifestyle approach in the context of spatial mobility and planning[J]. International Social Science Journal, 55(176): 319-332. doi: 10.1111/j.1468-2451.2003.05502011.x
[41]	Schwanen T, Mokhtarian P L.2005. What affects commute mode choice: Neighborhood physical structure or preferences toward neighborhoods[J]. Journal of Transport Geography, 13(1): 83-99. doi: 10.1016/j.jtrangeo.2004.11.001
[42]	Thrift N, Pred A.1981. Time-geography: A new beginning[J]. Progress in Human Geography, 5(2): 277-286. doi: 10.1177/030913258100500209
[43]	van Acker V, Goodwin P, Witlox F.2016. Key research themes on travel behavior, lifestyle, and sustainable urban mobility[J]. International Journal of Sustainable Transportation, 10(1): 25-32.
[44]	van Acker V, Mokhtarian P L, Witlox F.2014. Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes[J]. Transport Policy, 35: 88-99. doi: 10.1016/j.tranpol.2014.05.006
[45]	van Acker V, Witlox F.2010. Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship[J]. Journal of Transport Geography, 18(1): 65-74. doi: 10.1016/j.jtrangeo.2009.05.006
[46]	van Diepen A M L, Musterd S.2009. Lifestyles and the city: Connecting daily life to urbanity[J]. Journal of Housing and the Built Environment, 24(3): 331-345. doi: 10.1007/s10901-009-9150-4
[47]	Walker J L, Li J P.2007. Latent lifestyle preferences and household location decisions[J]. Journal of Geographical Systems, 9(1): 77-101. doi: 10.1007/s10109-006-0030-0
[48]	Weber C, Perrels A.2000. Modelling lifestyle effects on energy demand and related emissions[J]. Energy Policy, 28(8): 549-566. doi: 10.1016/S0301-4215(00)00040-9
[49]	Zhang J Y, Xiong Y B, Tran M T.2014. Life-oriented approach for urban policy decision-making: Surveys and applications[C]//54th congress of the European regional science association: "Regional development & globalisation: Best practices". Saint Petersburg, Russia: European Regional Science Association.

文献	社会—人口统计因素：个人与家庭	空间因素：住房和社区	日常行为因素	心理与文化因素
Salomon et al, 1983	+
Bagley et al, 2002			+^*	+
Krizek et al, 2002	+	+	+
Hildebrand, 2003	+
Krizek, 2006		+	+
Walker et al, 2007		+		+
van Diepen et al, 2009	+
Lin et al, 2009	+	+	+
Scheiner, 2010				+
van Acker et al, 2014			+^*	+^*
Etminani-Ghasrodashti et al, 2015			+
塔娜等, 2015			+

Progress in research from a lifestyle perspective of space-time behavior

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