Journal of Guangxi Normal University(Natural Science Edition) ›› 2017, Vol. 35 ›› Issue (3): 22-29.doi: 10.16088/j.issn.1001-6600.2017.03.003

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Research on Mode Choice of Electric Bicycle Travelers Basedon Two-Step Cluster Method

HU Yucong1*, CHEN Jie1, ZOU Xiaojian2, CHEN Zhiwei1   

  1. 1.School of Civil Engineering and Transportation, South China University of Technology, Guangzhou Guangdong 510641,China;
    2. College of Transportation Management, Guangdong Communication Polytechnic, Guangzhou Guangdong 510650,China
  • Online:2017-07-25 Published:2018-07-25

Abstract: According to the survey data of Nanning in 2014, electric bicycles are categorized using two-step cluster method to get accurate differentiation management quantitative decision of electric bicycles. A BNL mode is developed to describe people’s mode choice behaviors when electric bicycles and buses are accessible. And the SPSS 22.0 software is used to calibrate model parameters. Finally, the results are analyzed considering the actual situation in Nanning. The results show that electric bicycles is one of residents’ main travel modes when public transit system is not accessible or underdeveloped. When the service level of regular buses is improved exclusively, uncategorized models might exaggerate the increase in the sharing rate of public transit system. The categorized models could reflect the differentiations among different groups more effectively. The proposed method can provide more accurate quantitative decision support for exploring the differentiated management strategy of electric bicycles in Nanning.

Key words: electric bicycle, two-stage cluster, the differentiation of crowd, BNL mode, travel mode choice

CLC Number: 

  • U491
[1] CHERRY C, CERVERO R. Use characteristics and mode choice behavior of electric bike users in China[J]. Transport Policy, 2007, 14(3):247-257. DOI:10.1016/j.tranpol.2007.02.005.
[2] CHERRY C R. Electric two-wheelers in China: analysis of environmental, safety, and mobility impacts[D]. Berkeley, CA: University of California, 2007:25-40.
[3] WU Changxu, YAO Lin, ZHANG Kan. The red-light running behavior of electric bike riders and cyclists at urban intersections in China[J]. Accident Analysis and Prevention., 2012,49:186-192.
[4] BAI Lu, LIU Pan, GUO Yanyong. Comparative analysis of risky behaviors of electric bicycles at signalized intersections[J].Traffic Injury Prevention, 2015, 16(4):424-428.
[5] WEI Longyu, XIN Feifei, AN Kang, et al. Comparison study on travel characteristics between two kinds of electric bike[J]. Procedia-Social and Behavioral Sciences, 2013, 96(11):1603-1610.DOI: 10.1016/j.sbspro.2013.08.182.
[6] 金楠.大城市居民低碳出行方式选择影响因素研究[D].重庆:重庆交通大学,2013:74-75.
[7] GRISOLIA J M, LPEZ del PINO F. Some new evidence in the determination of acceptability of urban transport pricing[OL].http://encuentros.alde.es/anteriores/xieea/trabajos/pdf/81.pdf
[8] COLLEY M, BUILUNG R N. Gender differences in school and work commuting mode through the life cycle exploring trends in the greater toronto and hamilton area, 1986 to 2011[J].Transportation Research Record,2016,2598(12):102-109. DOI: 10.3141/2598-12.
[9] 王健,侯亚丽,胡晓伟,等.拥挤收费下基于前景理论的出行者路径选择行为分析[J].交通信息与安全,2011,29(5):25-30. DOI:10.3963/j.ISSN1674-4861.2011.05.006.
[10] ALBERT G, MAHALEL D. Congestion tolls and parking fees: a comparison of the potential effect on travel behavior[J].Transport Policy,2006, 13(6):496-502. DOI:10.1016/j.tranpol.2006.02.003.
[11] MARCEL H, SONJA H,SYLVIE G, et al. Psychological, sociodemographic, and infrastructural factors as determinants of ecological impact caused by mobility behavior[J]. Journal of Environmental Psychology, 2007,27(4) :277-292.
[12] GEHLERT T, KRAMER C, SCHLAG B, et al. Socioeconomic differences in public acceptability and car use adaptation towards urban road pricing[J].Transport Policy, 2011,18(5):685-694. DOI:10.1016/j.tranpol.2011.01.003.
[13] 何流,段仲渊.基于SP调查的出行时间价值方法研究[J].金陵科技学院学报,2016,32(2):30-33. DOI:10.3969/j.issn.1672-755X,2016.02.007
[14] 邹君.基于聚类分析法的岗位分类评价研究[D].海口:海南大学,2013.
[15] 汪存友,余嘉元. SPSS两阶段聚类法如何自动确定聚类数[J].中国卫生统计,2010,27(2):202-203.
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