The factors influencing bicycling in the Bangalore city

Bicycling, in an urban context, have many benefits, compared with motorized transports, like reduced carbon footprint, and lower maintenance, health, social and infrastructural costs. The present paper analyses the various factors contributing to a low percentage of bicycling in the Bangalore city and elicits certain policy aspects to improve the attractiveness of bicycling. The study focuses mainly on the behavioral aspects of commuters pertaining to their childhood and current scenario, and uses a face-to-face questionnaire survey for data collection. These behavioral aspects indicated a commuter’s perception about social expectation, convenience and bicycling infrastructure using a 5-point Likert scale measurement. Information is also collected about factors that might motivate bicycling, and about demographic variables like age, gender, income, etc. The study used a statistical z-test to identify the most influential attitudinal factors and to check whether the various factors are significantly different. The results gave a clear picture about the most dominant attitudinal factors that resulted in the stoppage of bicycling during a commuter’s childhood, and that acted as a deterrent to their bicycle usage in a current scenario. The study determined a need for changing the attitude of people towards cycling by programs that would create a positive image for cycling. There was also a need for segregated cycle lanes and signals at intersections so that people could feel safe while travelling on cycles.

[1]  Ashish Verma,et al.  A study of acceptable trip distances using walking and cycling in Bangalore , 2014 .

[2]  Michael Replogle,et al.  BICYCLE ACCESS TO PUBLIC TRANSPORTATION: LEARNING FROM ABROAD , 1992 .

[3]  Changxu Wu,et al.  Traffic Safety for Electric Bike Riders in China , 2012 .

[4]  Liang Ma,et al.  Associations between the objective and perceived built environment and bicycling for transportation , 2015 .

[5]  Tim Ryley,et al.  Use of non-motorised modes and life stage in Edinburgh , 2006 .

[6]  Geetam Tiwari,et al.  Evaluating bicyclists comfort and safety perception , 2010 .

[7]  Chris Rissel,et al.  Perspectives and images of cycling as a barrier or facilitator of cycling , 2011 .

[8]  Susan L Handy,et al.  Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities , 2009 .

[9]  Rajat Rastogi,et al.  Segmentation Analysis of Commuters Accessing Transit: Mumbai Study , 2009 .

[10]  Kees Maat,et al.  The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances , 2011 .

[11]  Heng Wei,et al.  Repositioning Bicycling in Transportation Policies and Strategies from the Perspective of Mode Choice Changes in Large Chinese Cities , 2003 .

[12]  Jennifer Dill,et al.  The objective versus the perceived environment: what matters for bicycling? , 2014 .

[13]  Partha Pratim Sarkar,et al.  Effect of Land Use on Travel Behaviour: A Case Study of Agartala City , 2013 .

[14]  P. Rietveld Biking and Walking: The Position of Non-Motorised Transport Modes in Transport Systems , 2001 .

[15]  M. Nankervis,et al.  The effects of weather and climate on bicycle commuting , 1999 .

[16]  Ashish Verma,et al.  Economic impact of non-motorized transportation in Indian cities , 2013 .

[17]  P. Rogers,et al.  Travel behavior of low-income residents: studying two contrasting locations in the city of Chennai, India , 2005 .

[18]  Michelle Daley,et al.  All Dressed Up and Nowhere to Go?: A Qualitative Research Study of the Barriers and Enablers to Cycling in Inner Sydney , 2007 .

[19]  Susan L Handy,et al.  Factors Correlated with Bicycle Commuting: A Study in Six Small U.S. Cities , 2011 .

[20]  J. Pucher,et al.  Urban transport crisis in India , 2005 .

[21]  Les Lumsdon,et al.  THE NATIONAL CYCLE STRATEGY IN THE UK: TO WHAT EXTENT HAVE LOCAL AUTHORITIES ADOPTED ITS MODEL STRATEGY APPROACH?. , 2001 .

[22]  Kees Maat,et al.  The effect of work-related factors on the bicycle commute mode choice in the Netherlands , 2013 .

[23]  David Lois,et al.  Cycle commuting intention: A model based on theory of planned behaviour and social identity , 2015, Transportation Research Part F: Traffic Psychology and Behaviour.

[24]  A. Verma,et al.  Sustainability impact assessment of transportation policies – A case study for Bangalore city , 2015 .

[25]  Todd Litman,et al.  Integrating Public Health Objectives in Transportation Decision-Making , 2003, American journal of health promotion : AJHP.

[26]  N. Cavill,et al.  Cycling and health - what's the evidence? , 2007 .

[27]  Jennifer Dill,et al.  Factors Affecting Bicycling Demand , 2007 .

[28]  D. Ragland,et al.  Bicycle commuting market analysis using attitudinal market segmentation approach , 2013 .

[29]  M. Wardman,et al.  Factors influencing the propensity to cycle to work , 2007 .

[30]  V. E. Daniel,et al.  Determinants of bicycle use: do municipal policies matter? , 2004 .

[31]  Søren Underlien Jensen,et al.  Bicycle Tracks and Lanes: a Before-After Study , 2008 .

[32]  I. Ajzen The theory of planned behavior , 1991 .

[33]  Geetam Tiwari,et al.  Urban Transport Priorities: Meeting the Challenge of Socio-economic Diversity in Cities, a Case Study of Delhi, India , 2002 .

[34]  Rajat Rastogi,et al.  Willingness to Shift to Walking or Bicycling to Access Suburban Rail: Case Study of Mumbai, India , 2010 .

[35]  Hisashi Kubota,et al.  THE CHARACTERISTICS OF PARATRANSIT AND NON-MOTORIZED TRANSPORT IN BANDUNG, INDONESIA , 2005 .

[36]  Kees Maat,et al.  Commuting by Bicycle: An Overview of the Literature , 2010 .

[37]  Birgitta Gatersleben,et al.  Contemplating Cycling to Work: Attitudes and Perceptions in Different Stages of Change , 2007 .

[38]  S. Handy,et al.  Factors associated with bicycle ownership and use: a study of six small U.S. cities , 2010 .

[39]  C. Bhat,et al.  A Comparison of the Route Preferences of Experienced and Inexperienced Bicycle Commuters , 2005 .

[40]  G Gardner,et al.  A QUANTITATIVE STUDY OF THE ATTITUDES OF INDIVIDUALS TO CYCLING , 2001 .

[41]  Timo Lajunen,et al.  Can social psychological models be used to promote bicycle helmet use among teenagers? A comparison of the Health Belief Model, Theory of Planned Behavior and the Locus of Control. , 2004, Journal of safety research.

[42]  Paul Guitink,et al.  Non-motorized transport : confronting poverty through affordable mobility , 1994 .

[43]  R. Cervero,et al.  TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN , 1997 .

[44]  Yi Zhang,et al.  Household, Personal and Environmental Correlates of Rural Elderly’s Cycling Activity: Evidence from Zhongshan Metropolitan Area, China , 2014 .

[45]  K. Krizek,et al.  Analyzing the Effect of Bicycle Facilities on Commute Mode Share over Time , 2009 .

[46]  Arefeh A. Nasri,et al.  How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities , 2012 .

[47]  Mark Zuidgeest,et al.  Identifying potential cycling market segments in Dar-es-Salaam, Tanzania , 2012 .

[48]  Juan de Dios Ortúzar,et al.  Estimating demand for a cycle-way network , 2000 .