Housing and Travel Choice Behavior of Low and Middle Income Group

Abstract

Abstract:

In order to promote the optimization of urban spatial structure and improve the traffic environment, there is a systematic review of housing and travel choice behavior of low and middle income group. Based on residential choice and satisfaction evaluation, travel choice behavior, and correlation between residence and travel behavior, the key scientific issues, the characteristic indexes, the model, and the existing problems, which are related to housing and travel choice behavior of low and middle income group, are analyzed and reviewed. The results show that there are still some research deficiencies, including lack of the study object for low and middle income group, separation of housing and travel, the independence of the macro spatial distribution model and the micro behavior analysis model, dominant position of external variables which can be observed directly, and inadequate consideration for the variables of residents' intrinsic subjective feeling. Finally, the future development trend of the integration of housing and travel choice behavior of low and middle income group is predicted.

Key words: urban traffic, low and middle income group, housing, travel behavior, structural equation model

摘要：

中低收入人群是社会发展过程中具有典型特征的一类特殊群体，而居住与出行是生活质量的核心要素，开展中低收入人群居住与出行选择行为系统综述，对促进城市空间结构优化、改善交通出行环境具有基础作用.本文主要从居住地选择与满意度评估、出行选择行为、居住地与交通出行关联性三个层面，对中低收入群体居住与出行选择行为涉及的关键科学问题、特征指标、分析模型、存在不足进行分析评述.总结发现：相关研究对象上缺少针对中低收入特定人群，研究方法将居住和出行划分为两个系统，宏观空间布局模型与微观行为分析模型相互独立，测量指标以可直接观测的外在变量为主，居民内在主观感受变量考虑不足.最后，提出了未来中低收入群体居住与出行选择行为一体化研究的发展方向.

关键词: 城市交通, 中低收入人群, 居住地, 出行行为, 结构方程模型

CLC Number:

U491.1

CHEN Jian, LI He-ping,ZHONG Yi-ying,ZHAO Han-lin. Housing and Travel Choice Behavior of Low and Middle Income Group[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(4): 19-26.

陈坚，李和平，钟异莹，赵翰林. 中低收入人群居住地与出行选择行为研究综述[J]. 交通运输系统工程与信息, 2017, 17(4): 19-26.

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References

[1] 顾纪瑞. 中国中等收入群体的界定和消费特征[J]. 消费经济, 2005, 21(4): 17-21, 26. [GU J R. Definition and consumption characteristics of Chinese middle income group[J]. Consumer Economy, 2005, 21 (4): 17- 21, 26.]

[2] OLMEDO C, WARD P M. Model subdivisions: The new face of developer lot sales for low-income colonia-type housing in Texas[J]. Land Use Policy, 2016, 52(3): 181- 194.

[3] 郑文升, 金玉霞, 王晓芳, 等. 城市低收入住区治理与克服城市贫困术—基于对深圳“城中村”和老工业基地城市“棚户区”的分析[J]. 城市规划, 2007, 31(5): 52- 56. [ZHENG W S, JIN Y X, WANG X F, et al. Urban low- income residence improvement and urban anti-poverty[J]. City Planning Review, 2007, 31 (5): 52- 56.]

[4] 张菡, 唐文. 城市化背景下中低收入人群居住环境现状研究—以成都市为例[J]. 四川建筑科学研究, 2013, 39(3): 316- 320. [ZHANG H, TANG W. Research on the living environment of the low and medium income people in the background of urbanization: a case study of Chengdu City[J]. Sichuan Building Science, 2013, 39 (3): 316-320.]

[5] 刘涛, 曹广忠. 大都市区外来人口居住地选择的区域差异与尺度效应[J]. 管理世界, 2015(1): 31-50. [LIU T, CAO G Z. The regional difference and scale effect of the choice of residence of the foreign population in metropolitan area[J]. Management World, 2015(1): 31- 50.]

[6] 李爱华, 韩晶晶, 石勇, 等. 基于数据挖掘的中低收入群体住房保障资格判别[J]. 管理评论, 2007, 19(5): 21-25. [LI A H, HAN J J, SHI Y, et al. Discrimination of housing security qualification of low and medium income groups based on Data Mining[J]. Management Review, 2007, 19(5): 21-25.]

[7] PALANCIOGLU H M, CETE M. The Turkish way of housing supply and finance for low-and middle-income people[J]. Land Use Policy, 2014, 39(1): 127-134.

[8] GOODING T. Low- income housing provision in Mauritius: Improving social justice and place quality[J]. Habitat International, 2016, 53(4): 502-516.

[9] OGAWA H, FUJITA M. Equilibrium land use patterns in a non- monocentric city[J]. Journal of Regional Science, 1980, 20(4): 455-475.

[10] GIULIANO G, SMALL K A. Is the journey to work explained by urban structure?[J]. Urban Studies, 1993 (30): 1485-1500.

[11] MARK W H, ALAN T M. A multi-objective approach to improving regional jobs- housing balance[J]. Regional Studies, 2003, 37(2):135.

[12] LÓPEZ-OSPINA H A, MARTÍNEZ F J, CORTÉS C E. Microeconomic model of residential location incorporating life cycle and social expectations[J]. Systems, 2016, 55(1): 33-43.

[13] MCFADDEN D. Modeling the choice of residential location, in spatial interaction theory and planning models[M]. Amsterdam: North Holland Publishers, 1978.

[14] BALBONTIN C, ORTÚZAR J D, SWAIT J D. A joint best-worst scaling and stated choice model considering observed and unobserved heterogeneity: An application to residential location choice[J]. Journal of Choice Modelling, 2015, 16(9): 1-14.

[15] CHOUDHURY C F, AYAZ S B. Why live far? — Insights from modeling residential location choice in Bangladesh[J]. Journal of Transport Geography, 2015, 48 (10): 1-9.

[16] 黄海军, 李志纯. 组合出行方式下的混合均衡分配模型及求解算法[J]. 系统科学与数学, 2006, 26(3): 352- 361. [HUANG H J, LI Z C. Mixed equilibrium model and its solution algorithm in transportation networks with combined mode[J]. Journal of Systems Science and Mathematical Sciences, 2006, 26(3): 352-361.]

[17] BEKHOR S, PRASHKER J N. GEV-based destination choice models that account for unobserved similarities among alternatives[J]. Transportation Research Part B, 2008, 42(3): 243-262.

[18] 杨励雅, 邵春福, 李霞. 考虑空间相关性递远递减的居民居住选址模型[J]. 中国公路学报, 2013, 26(1): 156- 162. [YANG L Y, SHAO C F, LI X. A residential location model considering spatial correlation recurrence[J]. China Journal of Highway and Transport, 2013, 26(1): 156-162.]

[19] GALSTER G C, HESSER G W. Residential satisfaction[J]. Environment and Behavior, 1981, 13(6):735-758.

[20] TOSCANO E V, AMESTOY V A. The relevance of social interactions on housing satisfaction[J]. Social Indicators Research, 2008, 86(2): 257-274.

[21] ELSINGA M, HOEKSTRA J. Homeownership and housing satisfaction[J]. Journal of Housing and the Built Environment, 2005 (20): 401-424.

[22] JIBOYE A D. Post-occupancy evaluation of residential satisfaction in Lagos, Nigeria: Feedback for residential improvement[J]. Frontiers of Architectural Research, 2012(1): 236-243.

[23] 李志刚. 中国城市“新移民”聚居区居住满意度研究: 以北京、上海、广州为例[J]. 城市规划, 2011, 35(12): 75-82. [LI Z G. A study of residential satisfaction in the Neo-Migrant enclaves of Chinese cities: A case of Beijing, Shanghai and Guangzhou[J]. City Planning Review, 2011, 35(12): 75-82.]

[24] MOHIT M A, AZIM M. Assessment of residential satisfaction with public housing in Hulhumale', Maldives[J]. Procedia- Social and Behavioral Sciences, 2012(50): 756-770.

[25] AULIA D N, ISMAIL A M. Residential satisfaction of middle income population: medan city[J]. Procedia - Social and Behavioral Sciences, 2013, 105(3): 674-683.

[26] CAO J. How does neighborhood design affect life satisfaction? Evidence from Twin Cities[J]. Travel Behaviour and Society, 2015, 9(7): 1-9.

[27] VOS J D, WITLOX F. Do people live in urban neighborhoods because they do not like to travel? Analysing an alternative residential self-selection hypothesis[J]. Travel Behaviour and Society, 2016, 4(5): 29-39.

[28] 湛东升, 孟斌, 张文忠. 北京市居民居住满意度感知与行为意向研究[J]. 地理研究, 2014, 33 (2): 336-348. [ZHAN D S, MENG B, ZHANG W Z. Study on the perception and behavior intention of residents' living satisfaction in Beijing City[J]. Geographical Research, 2014, 33 (2): 336-348.]

[29] MA J, MITCHELL G H. Daily travel behavior in Beijing, China: an analysis of workers' trip chains, and the role of socio-demographics and urban form[J]. Habitat International, 2014(43): 263-273.

[30] XIANYU J C, JUAN Z C, GAO L J, et al. Empirical analysis of commuters' nonwork stop-making behavior in Beijing, China[J]. Journal of Transportation Engineering, 2011(137): 360-369.

[31] WALLACE B, BARNES J, RUTHERFORD G S. Evaluating the effects of traveler and trip characteristics on trip chaining, with implications for transportation demand management strategies[J]. Transportation Research Record: Journal of the Transportation Research Board, 2000(1718): 97-106.

[32] LI Z B, WANG W, YANG C, et al. Exploring the casual relationship between bicycle choice and trip chain pattern[J]. Transport Policy, 2013(29):170-177.

[33] 程龙, 陈学武, 冯岑, 等. 城市低收入居民日出行链特征及其影响因素分析. 武汉理工大学学报(交通科学与工程版), 2015, 39(2): 273-278. [CHENG L, CHEN X W, FENG C, et al. Daily trip chain pattern and its influencing factors of low income residents[J]. Journal of Wuhan University of Technology, 2015, 39(2): 273- 278.]

[34] 周配, 朱喜钢, 马国强, 等. 城市低收入群体的出行问题及其解决对策——以南京市为例[J]. 城市问题, 2013(3): 68-72. [ZHOU P, ZHU X G, MA G Q, et al. On the problem of the urban low income group and its countermeasures——a case study of Nanjing City[J]. Urban Problems, 2013(3): 68-72.]

[35] KOPPELMAN F S, PAS E I. Travel- choice behavior: models of perceptions, preference, and choice[J]. Transportation Research Record 1980, 765(1): 26-33.

[36] MCFADDEN D. The choice theory approach to market research[J]. Marketing Science, 1986, 5(4). 275-297.

[37] 赵建有, 袁华智, 蹇小平, 等. 城市低收入人群出行方式选择模型[J]. 长安大学学报(自然科学版), 2012, 32 (4): 65-69. [ZHAO J Y, YUAN H Z, JIAN X P, et al. Selection model of travel mode for urban low- income population[J]. Journal of Chang'an University (Natural Science Edition), 2012, 32(4): 65-69.]

[38] FU X M, JUAN Z C. Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences[J/OL]. Transportation, 2014. heep://link. springer. com/article/10.1007/s11116-014- 9561-2.

[39] DAMN D. Interdependencies in activity behavior[J]. Transportation Research Record, 1980, 10(1):33-40.

[40] 程龙, 陈学武. 基于结构方程的城市低收入通勤者活动-出行行为模型[J]. 东南大学学报(自然科学版), 2015, 45(5): 1013- 1019. [CHENG L, CHEN X W. Activity- travel behavior model of urban low- income commuters based on structural equation[J]. Journal of Southeast University (Natural Science Edition), 2015, 45 (5): 1013-1019.]

[41] SOHN J. Are commuting patterns a good indicator of urban spatial structure?[J]. Journal of Transport Geography, 2005,13(4):306-317.

[42] NIEDZIELSKI M A, HORNER M W, XIAO N C. Analyzing scale independence in jobs- housing and commute efficiency metrics[J]. Transportation Research Part A: Policy and Practice, 2013, 58(12): 129-143.

[43] LONG Y, THILL J C. Combining smart card data and household travel survey to analyze jobs-housingrelationships in Beijing[J]. Computers, Environment and Urban Systems, 2015, 53(9): 19-35.

[44] 冯健, 周一星. 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, 2004, 23(2): 227-241. [FENG J, ZHOU Y X. Intraurban migration and correlative spatial behavior in Beijing in the process of suburbanization: based on 1000 questionnaires[J]. Geographical Research, 2004, 23(2): 227-241.]

[45] WANG D, CHAI Y. The jobs-housing relationship and commuting in Beijing, China: The legacy of danwei[J]. Journal of Transport Geography, 2009(17): 30-38.

[46] LERMAN S R. Location, housing, automobile ownership, and mode to work: a joint choice model[J]. Transportation Research Record, 1976(610): 6.

[47] DESALVO J S, HUQ M. Mode choice, commuting cost, and urban household behavior[J]. Journal of Regional Science, 2010 , 45 (3) : 493-517.

[48] BHAT C R. The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters identification considerations, and model extensions[J]. Transportation Research Part B, 2008, 42 (3): 274-303.

[49] NURLAELA S, CURTIS C. Modeling household residential location choice and travel behavior and its relationship with public transport accessibility[J]. Procedia-Social and Behavioral Sciences, 2012, 54(4): 56-64.

[50] 韦亚平, 潘聪林. 大城市街区土地利用特征与居民通勤方式研究—以杭州城西为例[J]. 城市规划, 2012, 36 (3): 316-320. [WEI Y P, PAN C L. Urban land-use charcteristics and commuters’travel pattern: a case study of west Hangzhou[J]. City Planning Review, 2012, 36 (3): 316-320.]

[51] BHAT C R, ASTROZA S, SIDHARTHAN R, et al. A joint count- continuous model of travel behavior with selection based on a multinomial probit residential density choice model[J]. Transportation Research Part B: Methodological, 2014, 68(10): 31-51.]

[52] 潘海啸, 陈国伟. 轨道交通对居住地选择的影响—— 以上海市的调查为例[J]. 城市规划学刊, 2009(5): 71- 76. [PAN H X, CHEN G W. Rail transit and residential location choice[J]. Urban Planning Forum, 2009(5): 71- 76.]

[53] DRÖES M I, RIETVELD P. Rail-based public transport and urban spatial structure: The interplay between network design, congestion and urban form[J]. Transportation Research Part B: Methodological, 2015, 81(2): 421-439. 26