Exploring switch tendency between cyclists and non-cyclists using market segmentation approach

Abstract

This work aimed to explore the switch tendency of bicycle use between cyclists and non-cyclists. The attitude based market segmentation approach was proposed to achieve the research objective. The filed investigations were conducted in Nanjing, China, to obtain travelers’ actions and attitudes towards bicycle uses. The structural equation modeling (SEM) was used to identify the attitudinal factors indicating variables and to explore the interrelationships among them. The SEMs were developed separately for the cyclist group and the non-cyclist group. All respondents were clustered into eight distinct segments by six selected attitudinal factors. The mode switch tendency and attitude in each segment is different from others, indicating that different segments have particular policies or strategies to encourage cycling. Policy implications that best serve the potential bicycle users were discussed to reduce the number of cyclists who have high tendency to use other modes, and increase the possibility of using bicycle in the non-cyclists group with the moderate and high switch tendency.

Keywords

cyclists and non-cyclists / switch tendency / market segmentation approach / structural equation modeling / attitudinal factors

References

[1] PucherJ, DillJ, HandyS. Infrastructure, programs, and policies to increase bicycling: An international review [J]. Preventive Medicine, 2010, 50(1): 106-125

[2] YangC, WangW, ShanX-f, LiZ-bin. Effects of personal factors on bicycle commuting in developing countries: Case study of Nanjing, China [J]. Transportation Research Record, 2010, 2193: 96-104

[3] MilneA, MelinM. 2014 Benchmarking report on bicycle and walking in the united states [R]. Washington D. C: Alliance for Biking & Walking, 2014

[4] MoudonA V, LeeC, CheadleA D, CollierC W. Cycling and the built environment: A US perspective [J]. Transportation Research Part D, 2005, 10(3): 245-261

[5] KangL, XiongY, ManneringF L. Statistical analysis of pedestrian perceptions of sidewalk level of service in the presence of bicycles [J]. Transportation Research Part A, 2013, 53(7): 10-21

[6] LiZ-b, WangW, LiuP, RaglandD R. Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities [J]. Transportation Research Part D, 2012, 17(3): 256-261

[7] AkarG, CliftonK J. Influence of individual perceptions and bicycle infrastructure on decision to bike [J]. Transportation Research Record, 2009, 2140: 165-172

[8] EliasW, ShiftanY. The influence of individual’s risk perception and attitudes on travel behavior [J]. Transportation Research Part A, 2012, 46(8): 1241-1251

[9] GaterslebeB, AppletonK M. Contemplating cycling to work: Attitude and perceptions in different stages of change [J]. Transportation Research Part A, 2007, 41(4): 302-312

[10] AnableJ. ¡®Complacent car addicts’ or ¡®aspiring environmentalists’? Identifying travel behavior segments using attitude theory [J]. Transport Policy, 2005, 12(1): 65-78

[11] LinY-y, DingC, WangY-w, LiuC, CuiY-c, MishraS. Joint analysis of urban shopping destination and travel mode choice accounting for potential spatial correlation between alternatives [J]. Journal of Central South University, 2014, 21(8): 3378-3385

[12] LumsdonL, TolleyR. The national cycle strategy in the UK: to what extent have local authorities adopted its model strategy approach? [J]. Journal of Transport Geography, 2001, 9(4): 293-301

[13] LiZ-bin, WangW, YangC, RaglandD R. Bicycle commuting market analysis using attitude market segmentation approach [J]. Transportation Research Part A, 2013, 47(1): 56-68

[14] ShiftanY, OutwaterM L, ZhouY. Transit market research using structural equation modeling and attitudinal market segmentation [J]. Transport Policy, 2008, 15(5): 186-195

[15] GolobT F. Joint models of attitudes and behavior in evaluation of the san diego I-15 congestion pricing project [J]. Transportation Research Part A, 2001, 35(6): 495-514

[16] GrdzelishviliI, SathreR. Understanding the urban travel attitudes and behavior of tbilisi residents [J]. Transport Policy, 2011, 18(1): 38-45

[17] NkurnuzizaA, ZuidgeestM, MaarseveenM V. Identifying potential cycling market segments in dar-es-salaam, tanzania [J]. Habitat International, 2012, 36(1): 78-84

[18] BadoeD A, MillerE J. An automated segmentation procedure for studying variations in mode choice behavior [J]. Journal of Advanced Transportation, 1998, 32(2): 190-215

[19] TeichertT, ShehuE, WartburgI V. Customer segmentation revised: The case of the airline industry [J]. Transportation Research Part A, 2008, 42: 227-242

[20] ELMORE Y R. A Handbook: Using market segmentation to increasing transit ridership[R]. Washington, D.C: Transportation Research Board of the National Academies, 1998.

[21] OutwaterM L, CastleberryS, ShiftanY B-, AkivaM, ZhouY S, KuppamA. Attitudinal market segmentation approach to mode choice and ridership forecasting: structural equation modeling [J]. Transportation Research Record, 2003, 1854: 32-42

[22] BambergS, SchmidtP. Changing travel mode choice as rational choice: Results from a longitudinal intervention study [J]. Rationality and Society, 1998, 10(2): 223-252

[23] ProchaskaJ O, DiclementeC C. The transtheoretical model of healthy behavior change [J]. American Journal of Health Promotion, 1997, 12: 38-48

[24] HeinenE, van WeeB, MaatK. Commuting by Bicycle: An overview of the literature [J]. Transport Review, 2010, 30(1): 59-96

[25] AjzenI. The theory of planned behavior [J]. Organizational Behavior and Human Decision Process, 1991, 50(2): 179-211

[26] FieldingK, McdonaldR, LouisW. Theory of planned behavior, identity and intentions to engage in environmental activism [J]. Journal of Environmental Psychology, 2008, 28(12): 318-326

[27] GolobT F. Structural equation modeling for travel behavior research [J]. Transportation Research Part B, 2003, 37(1): 1-25

[28] WashingtonS P, KarlaftisM G, ManneringF LStatistical and econometric methods for transportation data analysis (second edition) [M], 2010Boca Raton, FLChapman Hall/CRC12

[29] HeinenE, MaatK, WeeB V. The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances [J]. Transportation Research Part D, 2011, 16(2): 102-109

[30] NkurnuzizaA, ZuidgeestM, BrusselM, MaarseveenM V. Examining the potential for modal change: Motivators and barriers for bicycle commuting in dar-es-salaam [J]. Transport Policy, 2012, 24(12): 249-259

[31] ProchaskaJ O, VelicerW F, RossiJ S, GoldsteinM G, MarcusB H, RakowskiW. Stage of change and decisional balance for 12 problem behaviors [J]. Health Psychology, 1994, 13(1): 39-46

[32] WardmanM, TightM, PageM. Factors influencing the propensity to cycle to work [J]. Transportation Research Part A, 2007, 41(5): 339-350