Methodology for Exploratory Analysis of Latent Factors Influencing Drivers' Behavior

In the context of route choice, modeling the process that generates the set of available alternatives in the mind of the individual is a complex and not fully explored issue. Route choice behavior is influenced by variables that are observable, such as travel time and cost, and unobservable, such as attitudes, perceptions, spatial abilities, and network knowledge. In this study, attitudinal data were collected with a web-based survey addressed to individuals who habitually drive from home to work. The paper proposes a methodology to conduct a proper application of factor analysis to the route choice context and describes the preparation of an appropriate data set through measures of internal consistency and sampling adequacy. The paper shows that, for the data set obtained from the web-based survey, six latent constructs affecting driver behavior were extracted and scores of each driver on each factor were calculated.

[1]  Joffre Swait,et al.  Choice set generation within the generalized extreme value family of discrete choice models , 2001 .

[2]  James W. Pellegrino,et al.  The acquisition and integration of route knowledge in an unfamiliar neighborhood , 1990 .

[3]  M. Ben-Akiva,et al.  EMPIRICAL TEST OF A CONSTRAINED CHOICE DISCRETE MODEL : MODE CHOICE IN SAO PAULO, BRAZIL , 1987 .

[4]  Shlomo Bekhor,et al.  Investigation of Stochastic Network Loading Procedures , 1998 .

[5]  R. Bellman,et al.  On kth Best Policies , 1960 .

[6]  Duane T. Wegener,et al.  Evaluating the use of exploratory factor analysis in psychological research. , 1999 .

[7]  M. Ben-Akiva,et al.  Discrete choice models with latent choice sets , 1995 .

[8]  Scott M. Freundschuh,et al.  Is there a Relationship Between Spatial Cognition and Environmental Patterns? , 1992, Spatio-Temporal Reasoning.

[9]  T de la Barra,et al.  Multidimensional path search and assignment , 1993 .

[10]  E. Martins,et al.  An algorithm for the ranking of shortest paths , 1993 .

[11]  Shlomo Bekhor,et al.  Adaptation of Logit Kernel to Route Choice Situation , 2002 .

[12]  Dongjoo Park,et al.  Identifying Multiple and Reasonable Paths in Transportation Networks: A Heuristic Approach , 1997 .

[13]  M. Bierlaire,et al.  Discrete Choice Methods and their Applications to Short Term Travel Decisions , 1999 .

[14]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[15]  Moshe Ben-Akiva,et al.  Incorporating random constraints in discrete models of choice set generation , 1987 .

[16]  C. Chu.  A PAIRED COMBINATORIAL LOGIT MODEL FOR TRAVEL DEMAND ANALYSIS , 1989 .

[17]  Seiji Iwakura,et al.  Multinomial probit with structured covariance for route choice behavior , 1997 .

[18]  P. Bovy,et al.  ROUTE CHOICE: WAYFINDING IN TRANSPORT NETWORKS , 1990 .

[19]  R. Likert.  “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[20]  Michael Scott Ramming,et al.  NETWORK KNOWLEDGE AND ROUTE CHOICE , 2002 .

[21]  Yaser E. Hawas,et al.  DEVELOPMENT AND CALIBRATION OF ROUTE CHOICE UTILITY MODELS: FACTORIAL EXPERIMENTAL DESIGN APPROACH , 2004 .

[22]  Peter Vovsha,et al.  Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area , 1997 .

[23]  L. A. Goodman,et al.  Measures of association for cross classifications , 1979 .

[24]  Warren B. Powell,et al.  An algorithm for the equilibrium assignment problem with random link times , 1982, Networks.

[25]  Piet H. L. Bovy,et al.  Choice set generation for multi-modal travel analysis , 2004 .

[26]  Peter R. Stopher,et al.  Captivity and Choice in Travel-Behavior Models , 1980 .

[27]  E. Cascetta,et al.  A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .

[28]  Carlos F. Daganzo,et al.  On Stochastic Models of Traffic Assignment , 1977 .

[29]  H. Williams,et al.  Behavioural theories of dispersion and the mis-specification of travel demand models☆ , 1982 .

[30]  Andrea Papola,et al.  Random utility models with implicit availability/perception of choice alternatives for the simulation of travel demand , 2001 .

[31]  Michael Miller.  Coefficient alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling , 1995 .

[32]  T. Gärling,et al.  Spatial Behavior in Transportation Modeling and Planning , 2001 .