Latent lifestyle and mode choice decisions when travelling short distances

In the quest for sustainable travel, short distances appear the most amenable to curbing the use of the automobile. Existing studies about short trips evaluate the potential of shifting from the automobile to sustainable travel options while considering the population as homogeneous in its preferences and its tendency to accept these alternative travel options as realistic. However, this assumption appears quite unrealistic and the current study offers a different perspective: the mode choices when travelling short distances are likely related to lifestyle decisions. Short trip chains of a representative sample of the Danish population in the Copenhagen Region were analysed, and more specifically a latent class choice model was estimated to uncover latent lifestyle groups and choice specific travel behaviour. Results show that four lifestyle groups are identified in the population: car oriented, bicycle oriented, public transport oriented and public transport averse. Each lifestyle group has specific perceptions of travel time (with extremely different rates of substitution between alternative travel modes), transfer penalties in public transport trip chains, weather influence (especially on active travel modes), and trip purpose effect on mode selection. Consequently, when thinking about measures to increase the appeal of sustainable travel options, decision-makers should look at specific individuals within the population and more sensitive individuals to comfort and level-of-service improvements across the lifestyle groups.

[1]  David S. Lee,et al.  Transport impacts on atmosphere and climate: Metrics , 2010 .

[2]  Otto Anker Nielsen,et al.  Multimodal route choice models of public transport passengers in the Greater Copenhagen Area , 2017, EURO J. Transp. Logist..

[3]  J. Scheiner,et al.  Travel mode choice: affected by objective or subjective determinants? , 2007 .

[4]  Andres Monzon,et al.  Potential to attract drivers out of their cars in dense urban areas , 2011 .

[5]  J P Schepers,et al.  How does a modal shift from short car trips to cycling affect road safety? , 2013, Accident; analysis and prevention.

[6]  A. Woodward,et al.  Moving urban trips from cars to bicycles: impact on health and emissions , 2011, Australian and New Zealand journal of public health.

[7]  Stefan Lindhard Mabit,et al.  Demand for alternative-fuel vehicles when registration taxes are high , 2011 .

[8]  Sigal Kaplan,et al.  Residential location choice of knowledge-workers: The role of amenities, workplace and lifestyle , 2013 .

[9]  E. Guerra.  The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions , 2015 .

[10]  Gudmundur F. Ulfarsson,et al.  Curbing automobile use for sustainable transportation: analysis of mode choice on short home-based trips , 2008 .

[11]  Akshay Vij,et al.  Incorporating the influence of latent modal preferences on travel mode choice behavior , 2013 .

[12]  Roger Mackett,et al.  Why do people use their cars for short trips? , 2003 .

[13]  V. V. Acker.  Defining, Measuring, and Using the Lifestyle Concept in Modal Choice Research , 2015 .

[14]  Andrew Carse,et al.  The factors influencing car use in a cycle-friendly city: the case of Cambridge , 2013, Journal of transport geography.

[15]  Joan L. Walker,et al.  Latent lifestyle preferences and household location decisions , 2007, J. Geogr. Syst..

[16]  L. Steg,et al.  Promoting physical activity and reducing climate change: opportunities to replace short car trips with active transportation. , 2009, Preventive medicine.

[17]  Mette Møller,et al.  Understanding adolescents' intentions to commute by car or bicycle as adults , 2013 .

[18]  M. Ben-Akiva,et al.  The Use of the Life-Style Concept in Travel Demand Models , 1983 .

[19]  Henk Stipdonk,et al.  Personal and Environmental Characteristics Associated with Choice of Active Transport Modes versus Car Use for Different Trip Purposes of Trips up to 7.5 Kilometers in The Netherlands , 2013, PloS one.

[20]  P. Mokhtarian,et al.  Modeling the structural relationships among short-distance travel amounts, perceptions, affections, and desires , 2009 .

[21]  D. Rojas-Rueda,et al.  The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study , 2011, BMJ : British Medical Journal.

[22]  D. Olaru,et al.  Lifecycle Stages and Residential Location Choice in the Presence of Latent Preference Heterogeneity , 2013 .

[23]  J. Pucher,et al.  Bicycling renaissance in North America? Recent trends and alternative policies to promote bicycling , 1999 .

[24]  Patricia L. Mokhtarian,et al.  What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice - eScholarship , 2004 .

[25]  Andrew Daly,et al.  Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies , 2011 .

[26]  Manuela Bina,et al.  Risky driving and lifestyles in adolescence. , 2006, Accident; analysis and prevention.

[27]  Luc Int Panis,et al.  Improving health through policies that promote active travel: a review of evidence to support integrated health impact assessment. , 2011, Environment international.

[28]  M. Ketzel,et al.  A proper choice of route significantly reduces air pollution exposure--a study on bicycle and bus trips in urban streets. , 2008, The Science of the total environment.

[29]  Sigal Kaplan,et al.  The linkage between the lifestyle of knowledge-workers and their intra-metropolitan residential choice: A clustering approach based on self-organizing maps , 2013, Comput. Environ. Urban Syst..

[30]  L. Frank,et al.  Linking land use with household vehicle emissions in the central puget sound: methodological framework and findings , 2000 .

[31]  Ilan Salomon,et al.  Life style as a factor in explaining travel behavior , 1980 .

[32]  Peter Loukopoulos,et al.  Are car users too lazy to walk? The relationship of distance thresholds for driving to the perceived effort of walking , 2005 .

[33]  Robert B. Noland,et al.  A Mode Choice Analysis of School Trips in New Jersey , 2014 .

[34]  Jillian Anable,et al.  'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory , 2005 .

[35]  Ryuichi Kitamura,et al.  Life-style and travel demand , 2009 .

[36]  Douglas Crawford-Brown,et al.  Short trips: An opportunity for reducing mobile-source emissions? , 2010 .

[37]  Jens Borken-Kleefeld,et al.  Mode, load, and specific climate impact from passenger trips. , 2013, Environmental science & technology.

[38]  Daniel P. Piatkowski,et al.  Accounting for the short term substitution effects of walking and cycling in sustainable transportation , 2015 .

[39]  K. Krizek.  Lifestyles, Residential Location Decisions, and Pedestrian and Transit Activity: , 2006 .

[40]  Carlo Giacomo Prato,et al.  Analyzing the relationship between car generation and severity of motor-vehicle crashes in Denmark. , 2013, Accident; analysis and prevention.

[41]  David A. Hensher,et al.  A latent class model for discrete choice analysis: contrasts with mixed logit , 2003 .

[42]  P. Waddell,et al.  Analysis of Lifestyle Choices: Neighborhood Type, Travel Patterns, and Activity Participation , 2002 .

[43]  Joan L. Walker,et al.  Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice , 2014 .

[44]  H. Nijland,et al.  Do the Health Benefits of Cycling Outweigh the Risks? , 2010, Environmental health perspectives.

[45]  Piet Rietveld,et al.  Non-motorised modes in transport systems: a multimodal chain perspective for The Netherlands , 2000 .

[46]  Chandra R. Bhat,et al.  Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions , 2011 .

[47]  J. Patz,et al.  Air Quality and Exercise-Related Health Benefits from Reduced Car Travel in the Midwestern United States , 2011, Environmental health perspectives.

[48]  Patricia L. Mokhtarian,et al.  What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods? , 2005 .

[49]  Dinesh Gopinath,et al.  Modeling heterogeneity in discrete choice proceses : application to travel demand , 1995 .

[50]  M. Ben-Akiva,et al.  Discrete choice analysis , 1989 .

[51]  Jiangping Zhou,et al.  From better understandings to proactive actions: Housing location and commuting mode choices among university students , 2014 .

[52]  Asad J. Khattak,et al.  Time Use Patterns, Lifestyles, and Sustainability of Nonwork Travel Behavior , 2012 .

[53]  Gaurav Vyas,et al.  Individual Mobility Attributes and Their Impact on Modality Style , 2013 .

[54]  Stephane Hess,et al.  A mixed random utility — Random regret model linking the choice of decision rule to latent character traits , 2013 .

[55]  Joan L. Walker.  Extended discrete choice models : integrated framework, flexible error structures, and latent variables , 2001 .

[56]  Harry Timmermans,et al.  Heterogeneous Latent Class Model of Activity Rescheduling, Route Choice, and Information Acquisition Decisions Under Multiple Uncertain Events , 2009 .

[57]  F. Witlox,et al.  Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes , 2014 .

[58]  David Banister,et al.  The sustainable mobility paradigm , 2008 .

[59]  Eric J. Miller,et al.  Temporal transferability of work trip mode choice models in an expanding suburban area: the case of York Region, Ontario , 2014 .