Assessing driver acceptance of intelligent transport systems in the context of railway level crossings

Intelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. Such systems, however, will only exert an influence on driving behaviour if they are accepted by the driver. This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings. Fifty eight participants, divided into three groups, took part in a driving simulator study in which three ITS devices were tested: an in-vehicle visual ITS, an in-vehicle audio ITS, and an on-road valet system. Driver acceptance of each ITS intervention was assessed in a questionnaire guided by the Technology Acceptance Model and the Theory of Planned Behaviour. Overall, results indicated that the strongest intentions to use the ITS devices belonged to participants exposed to the road-based valet system at passive crossings. The utility of both models in explaining drivers’ intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour. Directions for future studies, along with strategies that target attitudes and subjective norms to increase drivers’ behavioural intentions, are also discussed.

[1]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[2]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

[3]  Carol Holland,et al.  The effect of age, gender and driver status on pedestrians' intentions to cross the road in risky situations. , 2007, Accident; analysis and prevention.

[4]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  B Graham,et al.  Low cost level crossing warning device , 2008 .

[6]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

[7]  Mark Keil,et al.  Usefulness and ease of use: field study evidence regarding task considerations , 1995, Decis. Support Syst..

[8]  Dick de Waard,et al.  A simple procedure for the assessment of acceptance of advanced transport telematics , 1997 .

[9]  Cheng-Kiang Farn,et al.  Acceptance of electronic tax filing: A study of taxpayer intentions , 2006, Inf. Manag..

[10]  John D. Lee,et al.  Warn me now or inform me later: Drivers' acceptance of real-time and post-drive distraction mitigation systems , 2012, Int. J. Hum. Comput. Stud..

[11]  Andry Rakotonirainy,et al.  Examining the effects of an eco-driving message on driver distraction. , 2013, Accident; analysis and prevention.

[12]  Leslie E Olson,et al.  AN ANALYSIS OF LOW-COST ACTIVE WARNING DEVICES FOR HIGHWAY-RAIL GRADE CROSSINGS , 2005 .

[13]  Andry Rakotonirainy,et al.  Safety at railway level crossings: driver acceptance of potential ITS interventions , 2013 .

[14]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[15]  Christina M. Rudin-Brown,et al.  Driver behaviour at rail level crossings: responses to flashing lights, traffic signals and stop signs in simulated rural driving. , 2011, Applied ergonomics.

[16]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[17]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[18]  Bart van Arem,et al.  Investigation of user needs for driver assistance: results of an Internet questionnaire , 2005 .

[19]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[20]  A. Várhelyi,et al.  The effects of in-car speed limiters – Field studies , 2001 .

[21]  Andry Rakotonirainy,et al.  The impact of co-locating regulatory and directional signs on driver performance , 2013 .

[22]  H A Richards,et al.  THE INTELLIGENT HIGHWAY-RAIL INTERSECTION: INTEGRATING ITS AND ATCS FOR IMPROVED GRADE CROSSING OPERATION AND SAFETY , 1997 .

[23]  E. B. Swanson,et al.  Information System Implementation: Bridging the Gap Between Design and Utilization , 1988 .

[24]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[25]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[26]  Inger Synnøve Moan,et al.  Predicting intentions not to "drink and drive" using an extended version of the theory of planned behaviour. , 2011, Accident; analysis and prevention.

[27]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[28]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[29]  David Trafimow,et al.  Predicting behaviour from perceived behavioural control: tests of the accuracy assumption of the theory of planned behaviour. , 2003, The British journal of social psychology.

[30]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[31]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[32]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[33]  Tapan K Datta,et al.  Driver Behavior at Rail-Highway Crossings , 1998 .

[34]  Li-Sian Tey,et al.  Evaluating cost-effective railway level crossing protection systems , 2009 .

[35]  John D. Lee,et al.  Handbook of Driving Simulation for Engineering, Medicine and Psychology: An Overview , 2011 .

[36]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[37]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[38]  Mats Wiklund,et al.  The long-term effect of Intelligent Speed Adaptation on driver behaviour. , 2010, Applied ergonomics.

[39]  Stephen Sutton,et al.  A comparative test of the theory of reasoned action and the theory of planned behavior in the prediction of condom use intentions in a national sample of English young people. , 1999, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[40]  Chun-Der Chen,et al.  Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior , 2007 .

[41]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[42]  Guy Wallis,et al.  Evaluating Driver Behavior Toward Innovative Warning Devices at Railway Level Crossings Using a Driving Simulator , 2013 .

[43]  Kathryn Dixon,et al.  Theory of planned behaviour: Higher education students' attitudes towards ICT-based learning interactions , 2009 .

[44]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[45]  Andry Rakotonirainy,et al.  Evaluation of emerging intelligent transport systems to improve safety on level crossings : an overview , 2014 .

[46]  Pearl Brereton,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010, Inf. Softw. Technol..

[47]  Jessie Pallud,et al.  The Influence of Individual, Contextual, and Social Factors on Perceived Behavioral Control of Information Technology: A Field Theory Approach , 2011, J. Manag. Inf. Syst..

[48]  Tore Dybå,et al.  Measuring software methodology usage: challenges of conceptualization and operationalization , 2005, 2005 International Symposium on Empirical Software Engineering, 2005..

[49]  Ad Feelders,et al.  Statistical concepts , 2003 .

[50]  Angelos Amditis,et al.  Perceptions of Risk and Control: Understanding Acceptance of Advanced Driver Assistance Systems , 2009, IFIP TC13 International Conference on Human-Computer Interaction.

[51]  Huei-Huang Chen,et al.  The empirical study of automotive telematics acceptance in Taiwan: comparing three Technology Acceptance Models , 2009, Int. J. Mob. Commun..

[52]  Emilio Moyano Díaz.  Theory of planned behavior and pedestrians' intentions to violate traffic regulations , 2002 .

[53]  Pei-Chun Chen,et al.  Applying the TAM to travelers' usage intentions of GPS devices , 2011, Expert Syst. Appl..

[54]  C A Bell,et al.  ITS APPLICATIONS TO HIGH SPEED RAIL GRADE CROSSING SAFETY , 1996 .

[55]  David C. Yen,et al.  User acceptance of wireless technology in organizations: A comparison of alternative models , 2011, Comput. Stand. Interfaces.

[56]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[57]  J. Sterne,et al.  Essential Medical Statistics , 2003 .

[58]  Albert L. Lederer,et al.  The technology acceptance model and the World Wide Web , 2000, Decis. Support Syst..

[59]  M. Conner,et al.  Identifying the psychological determinants of risky riding: an application of an extended Theory of Planned Behaviour. , 2012, Accident; analysis and prevention.

[60]  Andry Rakotonirainy,et al.  Driver’s over-trust on Advanced Driver Assistance Systems on passively protected railway crossings , 2014 .

[61]  Tomer Toledo,et al.  Safety Correlation and Implications of In-Vehicle Data Recorder on Driver Behavior , 2007 .

[62]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[63]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

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

[65]  Michelle Yeh,et al.  Driver Behavior at Highway-Railroad Grade Crossings: A Literature Review from 1990–2006 , 2008 .