Research Overview
"It is change, continuing change inevitable change, that is the dominant factor in society today. No sensible decision can be made any longer without taking into account not only the world as it is, but the word as it will be - and naturally this means that there must be an accurate perception of the world as it will be. This, in turn, means that our statesmen, our businessmen, our Everyman, must take on a science fictional way of thinking, whether he likes it or not or even whether he knows it or not. Only so can the deadly problems of today be solved."
- Isaac Asimov, 1978
My affiliations at UC Berkeley are Civil and Environmental Engineering and Global Metropolitan Studies. I view these disciplines from the perspective of the user. Civil infrastructure systems, such as transportation, are developed, designed, implemented, and managed with the objective of serving the needs of people and businesses. People and businesses are at the heart of most of the issues in metropolitan studies, in which prime objectives are to better understand and improve the urban environment. The effectiveness of infrastructures and urban environments will depend on how users respond to such systems. Humans are not automatons and it is not possible to force their actions. It is therefore essential that we anticipate the actions of users in order to effectively design and manage civil infrastructure systems.
Consider high-speed rail as an example. Design issues include determining the route and station locations as well as the capacity, frequency, and speed of the trains. Policy decisions include finance, pricing, and zoning. Understanding any one of these dimensions requires estimating the demand for the system. To do that, we need to understand the behavior of the users: Under what conditions will high speed rail be competitive with existing modes? For what segments of travelers?
My research aims to answer such questions. I use behavioral research and modeling methods to predict the behavior of users of systems. Predicting behavior is challenging – humans are heterogeneous with varying preferences, motivations, experiences, and decision-making processes. Indeed, predicting demand has proven to be elusive, with a long history of poor predictions. However, ignoring it is not the answer. We must develop useful tools for modeling behavior. Behavioral research is interdisciplinary in nature and includes fields such as economics, psychology, marketing research, urban planning, and, my area, transportation engineering and planning. With my engineering perspective, I focus on quantitative models that guide the design and management of engineering systems. I draw on methods from statistics and theories from behavioral science.
As is typical of infrastructure systems, transportation investments are costly and have long lifespans. Therefore, it is important to be able to predict the impacts that will result from proposed investments and policies. Such predictions are done at various scales of time and space. The case of high-speed rail is one example. Another is that metropolitan areas use models that predict travel demand and air quality for the entire urban area over a 20-30 year time horizon, and the models are run to compare different investment and policy scenarios. The heart of these modeling systems are the behavioral models that predict where, when, and how people will travel as well as predict longer-term decisions such as where to live and how many (and what type) of cars to own. While prediction and forecasting are key motivations for behavioral modeling in transport, another important motivation relates to sustainability issues. Passenger transport is responsible for one-fifth of greenhouse gas emissions in the US and approximately two-fifths in California. Behavioral modeling provides a framework to analyze the potential of sustainability policies designed to cause behavioral changes.
While there are a variety of techniques used to model behavior in transport, the most widely used technique is discrete choice analysis (DCA). This is my area of expertise. These are statistical tools that are used when the variable being explained is discrete or categorical in nature (unlike in regression where the dependent variable is continuous), and therefore applicable to model behavioral situations in which a decision-making agent (for example, a person, household, or business) is making a choice from a finite set of discrete alternatives. The classic transportation example is a person deciding what mode (car, transit, walk, bike, etc.) to take to work. The mathematical formulations for DCA were initially applied by psychologists and later linked to economic consumer theory. The origins of DCA are based on simple functional forms (for example, logit and probit); however, increases in computational power and new developments in flexible functional forms have led to models with greater explanatory power. DCA is used in a wide array of disciplines, so much so that Daniel McFadden was awarded the 2000 Nobel Prize in Economics due to his pioneering work in DCA.
Contributions and Areas of Emphasis
I contribute to both the fields of Discrete Choice Analysis and Transportation Systems. I am motivated by the desire to make the transportation system better for society and to use resources efficiently and sustainably. My objective is to develop capabilities for policy-making, design, and operations. My approach is to identify and address weak links in the state-of-the-art methods. In doing so, I have made contributions to transport and behavioral modeling in the areas of model specification, model estimation, and behavioral representation.
My research efforts can be divided into three broad (and often overlapping) areas of emphasis:
The first area is concerned with the methods themselves. Fundamental to any research in my area are the statistical tools that are used to model behavior, and therefore a significant part of my research is focused on improving these methods. This is the most basic area of research that I work on, and it has contributions beyond transportation to the wider disciplines that employ discrete choice analysis. There are issues with how models are specified, in particular the weak connection with the way people make decisions. I work to develop tools that enable more realistic specifications of the behavior. I aim to enrich the methods in a measured way, using approaches that are theoretically grounded, statistically verifiable, feasible to implement, and that make use of available data. There are also issues with the methods being applied incorrectly, and I do work to uncover and fix these mistakes.
The second area is travel behavior. Within the domain of transportation, predicting travel behavior is critical for improving the models that are used to evaluate infrastructure plans. I work to incorporate factors into the models that are believed to be important in behavior and yet are not generally included. I have focused on social influences, the role of information, attitudes towards the environment, and higher-order lifestyle orientations.
The third area is transportation planning. This is the most applied area of research that I work on and is motivated by my time in industry (4-plus years at Caliper Corporation, 2-plus years as their Director of Demand Modeling). My emphasis here is to make use of the advances in the methods for modeling behavior and our increased understanding of behavior to improve the large-scale urban model systems used to inform decision-making regarding infrastructure investment and transportation policy. I work in both the developed and developing world contexts.
Complete List of Publications > Complete List of Presentations > Working Papers >
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on METHODS
Vij, A. and J.L. Walker, “Statistical Properties of Integrated Choice and Latent Variable Models,” International Choice Modeling Conference, May 2015, Austin, Texas. working paper
Carrel, A., P.S.C. Lau, R.G. Mishalani, R. Sengupta and J.L. Walker, “Quantifying transit travel experiences from the users' perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses,” Transportation Research Part C, available online 16 April 2015.
Walker, J.L., Y. Wang, M. Thorhauge and M.E. Ben-Akiva, “D-Efficient or Deficient? A Robustness Analysis of SP Experimental Designs in a VOT Estimation Context” 94th Annual Meeting of the Transportation Research Board, January 2015, Washington DC.
Vij, A. and J.L. Walker, “Preference Endogeneity in Discrete Choice Models,” Transportation Research Part B, 2014, Vol. 64, pp. 90-105.
Vij, A. and J.L. Walker, “Hybrid Choice Models: The Identification Problem,” in (S. Hess and A. Daly, eds.) Handbook of Choice Modeling, Edward Elgar, 2014, pp. 519-564.
Brey, R. and J.L. Walker, “Latent Temporal Preferences: An Application to Airline Travel,” Transportation Research Part A, Vol. 45, No. 9, pp. 880-895.
Walker, J.L. and M. Ben-Akiva, “Advances In Discrete Choice: Mixtures Models,” in (A. de Palma, R. Lindsey, E. Quinet and R. Vickerman, eds.) Handbook in Transport Economics, Edward Elgar, 2011, pp. 160-187.
Walker, J.L., E. Ehlers, I. Banerjee, E.R. Dugundji, “Correcting for Endogeneity in Behavioral Choice Models with Social Influence Variables,” Transportation Research Part A, 2011, Vol. 45, No. 4, pp. 362-374.
Walker, J.L., J. Li., S. Srinivasan and D. Bolduc, “Travel Demand Models in the Developing World: Correcting for Measurement Errors,” Transportation Letters: The International Journal of Transportation Research, 2010, Vol. 2, No. 4, pp. 231-243.
Chiou, L. and J.L. Walker, "Masking Identification of Discrete Choice Models under Simulation Methods," Journal of Econometrics, 2007, Vol. 141, No. 2, pp. 683-703.
Walker, J.L., M. Ben-Akiva and D. Bolduc, "Identification of Parameters in Normal Error Component Logit-Mixture (NECLM) Models," Journal of Applied Econometrics, 2007, Vol. 22, No. 6, pp. 1095-125.
Ben-Akiva, M., J. Walker, A. Bernardino, D. Gopinath, T. Morikawa and A. Polydoropoulou, "Integration of Choice and Latent Variable Models," in (H. Mahmassani, ed.) In Perpetual Motion: Travel Behavior Research Opportunities and Application Challenges, Elsevier Science, 2002, pp. 431-470.
Walker, J., "The Mixed Logit (or Logit Kernel) Model: Dispelling Misconceptions of Identification," Transportation Research Record, 2002, No. 1805, pp. 86-98.
Walker, J. and M. Ben-Akiva, "Generalized Random Utility Model," Mathematical Social Sciences, 2002, Vol. 43, No. 3, pp. 303-343.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on TRAVEL BEHAVIOR
Jariyasunant, J., M. Abou-Zeid, A. Carrel, V. Ekambaram, D. Gaker, R. Sengupta and J.L. Walker, “Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior,” Journal of Intelligent Transportation Systems, 2015, Vol. 19, No. 2, pp. 109-124.
Belgiawan, P.F., J-D. Schmocker, M. Abou-Zeid, J. Walker, T-C Lee, D.F. Ettema and S. Fujii, “Car Ownership Motivations among Undergraduate Students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and U.S.A.,” Transportation, 2014, Vol. 41, No. 6, pp. 1227-1244.
Paulssen, M., D. Temme, A. Vij and J.L. Walker, “Values, Attitudes and Travel Behavior: A Hierarchical Latent Variable Mixed Logit Model of Travel Mode Choice,” Transportation, 2014, Vol. 41, No. 4, pp. 873-888.
Vij, A., A. Carrel and J.L. Walker, “Incorporating the Influence of Latent Modal Preferences on Travel Mode Choice Behavior,” Transportation Research Part A, 2013, Vol. 54, pp. 164-178.
Gaker, D., D. Vautin, A. Vij and J.L. Walker, “The Power and Value of Green in Promoting Sustainable Transport Behavior,” Environmental Research Letters, Vol. 6, pp. 1-10.
Walker, J.L., E. Ehlers, I. Banerjee, E.R. Dugundji, “Correcting for Endogeneity in Behavioral Choice Models with Social Influence Variables,” Transportation Research Part A, 2011, Vol. 45, No. 4, pp. 362-374.
Gaker, D. and J.L. Walker, “Insights on Car-Use Behaviors from Behavioral Economics,” in (K. Lucas, E. Blumenberg and R. Weinberger, eds.) Auto Motives: Understanding Car Use Behaviors, Emerald Publishing, 2011, pp. 107-120.
Gaker, D., Y. Zheng and J. Walker, “Experimental Economics in Transportation: Focus on Social Influences and Provision of Information,” Transportation Research Record, 2010, No. 2156, pp. 47-55. (Winner of the TRB Kitamura Prize.)
Chorus, C.G., J.L. Walker and M.E. Ben-Akiva, “The Value of Travel Information: A Search-Theoretic Approach,” Journal of Intelligent Transportation Systems, 2010, Vol. 14, No. 3, pp. 154-165.
Walker, J.L. and J. Li, “Latent Lifestyle Preferences and Household Location Decisions,” Journal of Geographical Systems, 2007, Vol. 9, No. 1, pp. 77-101.
Dugundji, E.R. and J. L. Walker, “Discrete Choice with Social and Spatial Network Interdependencies,” Transportation Research Record, 2005, No. 1921, pp. 70-78.
Walker, J. and M. Ben-Akiva, “Laboratory Simulation of Information Searches Using Multimedia Technology,” Intelligent Transportation Systems Journal, 1996, Vol. 3, No. 1, pp. 1-20.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on TRANSPORTATION PLANNING
Bills, T.S. and J.L. Walker, “Looking Beyond the Mean for Equity Analysis: Examining Distributional Impacts of Transportation Improvements.” working paper
Vij, A. and J.L. Walker, “You Can Lead Travelers to the Bus Stop, But You Can’t Make Them Ride,” 92nd Annual Meeting of the Transportation Research Board, January 2013, Washington DC. working paper
Niemeier, D.A., A.V. Goodchild, M. Rowell, J.L. Walker, J. Lin and L. Schweitzer, “Transportation,” in (G. Garfin, A. Jardine, R. Merideth, M. Black, and S. LeRoy, eds.) Assessment of Climate Change in the Southwest United States: A Report Prepared for the National Climate Assessment, Island Press, 2013, pp. 297-311.
Bills, T.S., E.A. Sall and J.L. Walker, “Activity-Based Travel Models and Transportation Equity Analysis,” Transportation Research Record, 2012, Vol. 2320, pp. 18-27.
Vij, A., A. Carrel and J.L. Walker, “Incorporating the Influence of Latent Modal Preferences on Travel Mode Choice Behavior,” Transportation Research Part A, 2013, Vol. 54, pp. 164-178.
Li, J., J.L. Walker, S. Srinivasan and W.P. Anderson, “Modeling Private Car Ownership In China: Investigation of Urban Form Impact Across Megacities,” Transportation Research Record, 2010, No. 2193, pp. 76-84.
Walker, J.L., J. Li., S. Srinivasan and D. Bolduc, “Travel Demand Models in the Developing World: Correcting for Measurement Errors,” Transportation Letters: The International Journal of Transportation Research, 2010, Vol. 2, No. 4, pp. 231-243.
Walker, J.L. and S. Bush, “Seven Critical Directions for Integrated Land Use-Transport Models,” in (R. Kitamura and T. Yoshii, eds.) The Expanding Sphere of Travel Behaviour Research: Selected Papers from the 11th International Conference on Travel Behavior Research, Emerald Group Publishing Limited, 2009, pp. 475-480.
Walker, J.L., "Opening up the Black Box: Enriching Behavioral Models of Spatial and Travel Choices," Journal of Transport Geography, 2006, Vol. 14, No. 5, pp. 396-398.
Walker, J.L., "Making Household Microsimulation of Travel and Activity Accessible to Planners," Transportation Research Record, 2005, No. 1931, pp. 86-98.
Dong, X., M. Ben-Akiva, J. Bowman and J. Walker, "Moving from Trip-Based to Activity-Based Measures of Accessibility," Transportation Research Part A, 2006, Vol. 40, No. 2, pp. 163-180.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
"It is change, continuing change inevitable change, that is the dominant factor in society today. No sensible decision can be made any longer without taking into account not only the world as it is, but the word as it will be - and naturally this means that there must be an accurate perception of the world as it will be. This, in turn, means that our statesmen, our businessmen, our Everyman, must take on a science fictional way of thinking, whether he likes it or not or even whether he knows it or not. Only so can the deadly problems of today be solved."
- Isaac Asimov, 1978
My affiliations at UC Berkeley are Civil and Environmental Engineering and Global Metropolitan Studies. I view these disciplines from the perspective of the user. Civil infrastructure systems, such as transportation, are developed, designed, implemented, and managed with the objective of serving the needs of people and businesses. People and businesses are at the heart of most of the issues in metropolitan studies, in which prime objectives are to better understand and improve the urban environment. The effectiveness of infrastructures and urban environments will depend on how users respond to such systems. Humans are not automatons and it is not possible to force their actions. It is therefore essential that we anticipate the actions of users in order to effectively design and manage civil infrastructure systems.
Consider high-speed rail as an example. Design issues include determining the route and station locations as well as the capacity, frequency, and speed of the trains. Policy decisions include finance, pricing, and zoning. Understanding any one of these dimensions requires estimating the demand for the system. To do that, we need to understand the behavior of the users: Under what conditions will high speed rail be competitive with existing modes? For what segments of travelers?
My research aims to answer such questions. I use behavioral research and modeling methods to predict the behavior of users of systems. Predicting behavior is challenging – humans are heterogeneous with varying preferences, motivations, experiences, and decision-making processes. Indeed, predicting demand has proven to be elusive, with a long history of poor predictions. However, ignoring it is not the answer. We must develop useful tools for modeling behavior. Behavioral research is interdisciplinary in nature and includes fields such as economics, psychology, marketing research, urban planning, and, my area, transportation engineering and planning. With my engineering perspective, I focus on quantitative models that guide the design and management of engineering systems. I draw on methods from statistics and theories from behavioral science.
As is typical of infrastructure systems, transportation investments are costly and have long lifespans. Therefore, it is important to be able to predict the impacts that will result from proposed investments and policies. Such predictions are done at various scales of time and space. The case of high-speed rail is one example. Another is that metropolitan areas use models that predict travel demand and air quality for the entire urban area over a 20-30 year time horizon, and the models are run to compare different investment and policy scenarios. The heart of these modeling systems are the behavioral models that predict where, when, and how people will travel as well as predict longer-term decisions such as where to live and how many (and what type) of cars to own. While prediction and forecasting are key motivations for behavioral modeling in transport, another important motivation relates to sustainability issues. Passenger transport is responsible for one-fifth of greenhouse gas emissions in the US and approximately two-fifths in California. Behavioral modeling provides a framework to analyze the potential of sustainability policies designed to cause behavioral changes.
While there are a variety of techniques used to model behavior in transport, the most widely used technique is discrete choice analysis (DCA). This is my area of expertise. These are statistical tools that are used when the variable being explained is discrete or categorical in nature (unlike in regression where the dependent variable is continuous), and therefore applicable to model behavioral situations in which a decision-making agent (for example, a person, household, or business) is making a choice from a finite set of discrete alternatives. The classic transportation example is a person deciding what mode (car, transit, walk, bike, etc.) to take to work. The mathematical formulations for DCA were initially applied by psychologists and later linked to economic consumer theory. The origins of DCA are based on simple functional forms (for example, logit and probit); however, increases in computational power and new developments in flexible functional forms have led to models with greater explanatory power. DCA is used in a wide array of disciplines, so much so that Daniel McFadden was awarded the 2000 Nobel Prize in Economics due to his pioneering work in DCA.
Contributions and Areas of Emphasis
I contribute to both the fields of Discrete Choice Analysis and Transportation Systems. I am motivated by the desire to make the transportation system better for society and to use resources efficiently and sustainably. My objective is to develop capabilities for policy-making, design, and operations. My approach is to identify and address weak links in the state-of-the-art methods. In doing so, I have made contributions to transport and behavioral modeling in the areas of model specification, model estimation, and behavioral representation.
My research efforts can be divided into three broad (and often overlapping) areas of emphasis:
The first area is concerned with the methods themselves. Fundamental to any research in my area are the statistical tools that are used to model behavior, and therefore a significant part of my research is focused on improving these methods. This is the most basic area of research that I work on, and it has contributions beyond transportation to the wider disciplines that employ discrete choice analysis. There are issues with how models are specified, in particular the weak connection with the way people make decisions. I work to develop tools that enable more realistic specifications of the behavior. I aim to enrich the methods in a measured way, using approaches that are theoretically grounded, statistically verifiable, feasible to implement, and that make use of available data. There are also issues with the methods being applied incorrectly, and I do work to uncover and fix these mistakes.
The second area is travel behavior. Within the domain of transportation, predicting travel behavior is critical for improving the models that are used to evaluate infrastructure plans. I work to incorporate factors into the models that are believed to be important in behavior and yet are not generally included. I have focused on social influences, the role of information, attitudes towards the environment, and higher-order lifestyle orientations.
The third area is transportation planning. This is the most applied area of research that I work on and is motivated by my time in industry (4-plus years at Caliper Corporation, 2-plus years as their Director of Demand Modeling). My emphasis here is to make use of the advances in the methods for modeling behavior and our increased understanding of behavior to improve the large-scale urban model systems used to inform decision-making regarding infrastructure investment and transportation policy. I work in both the developed and developing world contexts.
Complete List of Publications > Complete List of Presentations > Working Papers >
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on METHODS
Vij, A. and J.L. Walker, “Statistical Properties of Integrated Choice and Latent Variable Models,” International Choice Modeling Conference, May 2015, Austin, Texas. working paper
Carrel, A., P.S.C. Lau, R.G. Mishalani, R. Sengupta and J.L. Walker, “Quantifying transit travel experiences from the users' perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses,” Transportation Research Part C, available online 16 April 2015.
Walker, J.L., Y. Wang, M. Thorhauge and M.E. Ben-Akiva, “D-Efficient or Deficient? A Robustness Analysis of SP Experimental Designs in a VOT Estimation Context” 94th Annual Meeting of the Transportation Research Board, January 2015, Washington DC.
Vij, A. and J.L. Walker, “Preference Endogeneity in Discrete Choice Models,” Transportation Research Part B, 2014, Vol. 64, pp. 90-105.
Vij, A. and J.L. Walker, “Hybrid Choice Models: The Identification Problem,” in (S. Hess and A. Daly, eds.) Handbook of Choice Modeling, Edward Elgar, 2014, pp. 519-564.
Brey, R. and J.L. Walker, “Latent Temporal Preferences: An Application to Airline Travel,” Transportation Research Part A, Vol. 45, No. 9, pp. 880-895.
Walker, J.L. and M. Ben-Akiva, “Advances In Discrete Choice: Mixtures Models,” in (A. de Palma, R. Lindsey, E. Quinet and R. Vickerman, eds.) Handbook in Transport Economics, Edward Elgar, 2011, pp. 160-187.
Walker, J.L., E. Ehlers, I. Banerjee, E.R. Dugundji, “Correcting for Endogeneity in Behavioral Choice Models with Social Influence Variables,” Transportation Research Part A, 2011, Vol. 45, No. 4, pp. 362-374.
Walker, J.L., J. Li., S. Srinivasan and D. Bolduc, “Travel Demand Models in the Developing World: Correcting for Measurement Errors,” Transportation Letters: The International Journal of Transportation Research, 2010, Vol. 2, No. 4, pp. 231-243.
Chiou, L. and J.L. Walker, "Masking Identification of Discrete Choice Models under Simulation Methods," Journal of Econometrics, 2007, Vol. 141, No. 2, pp. 683-703.
Walker, J.L., M. Ben-Akiva and D. Bolduc, "Identification of Parameters in Normal Error Component Logit-Mixture (NECLM) Models," Journal of Applied Econometrics, 2007, Vol. 22, No. 6, pp. 1095-125.
Ben-Akiva, M., J. Walker, A. Bernardino, D. Gopinath, T. Morikawa and A. Polydoropoulou, "Integration of Choice and Latent Variable Models," in (H. Mahmassani, ed.) In Perpetual Motion: Travel Behavior Research Opportunities and Application Challenges, Elsevier Science, 2002, pp. 431-470.
Walker, J., "The Mixed Logit (or Logit Kernel) Model: Dispelling Misconceptions of Identification," Transportation Research Record, 2002, No. 1805, pp. 86-98.
Walker, J. and M. Ben-Akiva, "Generalized Random Utility Model," Mathematical Social Sciences, 2002, Vol. 43, No. 3, pp. 303-343.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on TRAVEL BEHAVIOR
Jariyasunant, J., M. Abou-Zeid, A. Carrel, V. Ekambaram, D. Gaker, R. Sengupta and J.L. Walker, “Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior,” Journal of Intelligent Transportation Systems, 2015, Vol. 19, No. 2, pp. 109-124.
Belgiawan, P.F., J-D. Schmocker, M. Abou-Zeid, J. Walker, T-C Lee, D.F. Ettema and S. Fujii, “Car Ownership Motivations among Undergraduate Students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and U.S.A.,” Transportation, 2014, Vol. 41, No. 6, pp. 1227-1244.
Paulssen, M., D. Temme, A. Vij and J.L. Walker, “Values, Attitudes and Travel Behavior: A Hierarchical Latent Variable Mixed Logit Model of Travel Mode Choice,” Transportation, 2014, Vol. 41, No. 4, pp. 873-888.
Vij, A., A. Carrel and J.L. Walker, “Incorporating the Influence of Latent Modal Preferences on Travel Mode Choice Behavior,” Transportation Research Part A, 2013, Vol. 54, pp. 164-178.
Gaker, D., D. Vautin, A. Vij and J.L. Walker, “The Power and Value of Green in Promoting Sustainable Transport Behavior,” Environmental Research Letters, Vol. 6, pp. 1-10.
Walker, J.L., E. Ehlers, I. Banerjee, E.R. Dugundji, “Correcting for Endogeneity in Behavioral Choice Models with Social Influence Variables,” Transportation Research Part A, 2011, Vol. 45, No. 4, pp. 362-374.
Gaker, D. and J.L. Walker, “Insights on Car-Use Behaviors from Behavioral Economics,” in (K. Lucas, E. Blumenberg and R. Weinberger, eds.) Auto Motives: Understanding Car Use Behaviors, Emerald Publishing, 2011, pp. 107-120.
Gaker, D., Y. Zheng and J. Walker, “Experimental Economics in Transportation: Focus on Social Influences and Provision of Information,” Transportation Research Record, 2010, No. 2156, pp. 47-55. (Winner of the TRB Kitamura Prize.)
Chorus, C.G., J.L. Walker and M.E. Ben-Akiva, “The Value of Travel Information: A Search-Theoretic Approach,” Journal of Intelligent Transportation Systems, 2010, Vol. 14, No. 3, pp. 154-165.
Walker, J.L. and J. Li, “Latent Lifestyle Preferences and Household Location Decisions,” Journal of Geographical Systems, 2007, Vol. 9, No. 1, pp. 77-101.
Dugundji, E.R. and J. L. Walker, “Discrete Choice with Social and Spatial Network Interdependencies,” Transportation Research Record, 2005, No. 1921, pp. 70-78.
Walker, J. and M. Ben-Akiva, “Laboratory Simulation of Information Searches Using Multimedia Technology,” Intelligent Transportation Systems Journal, 1996, Vol. 3, No. 1, pp. 1-20.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected works on TRANSPORTATION PLANNING
Bills, T.S. and J.L. Walker, “Looking Beyond the Mean for Equity Analysis: Examining Distributional Impacts of Transportation Improvements.” working paper
Vij, A. and J.L. Walker, “You Can Lead Travelers to the Bus Stop, But You Can’t Make Them Ride,” 92nd Annual Meeting of the Transportation Research Board, January 2013, Washington DC. working paper
Niemeier, D.A., A.V. Goodchild, M. Rowell, J.L. Walker, J. Lin and L. Schweitzer, “Transportation,” in (G. Garfin, A. Jardine, R. Merideth, M. Black, and S. LeRoy, eds.) Assessment of Climate Change in the Southwest United States: A Report Prepared for the National Climate Assessment, Island Press, 2013, pp. 297-311.
Bills, T.S., E.A. Sall and J.L. Walker, “Activity-Based Travel Models and Transportation Equity Analysis,” Transportation Research Record, 2012, Vol. 2320, pp. 18-27.
Vij, A., A. Carrel and J.L. Walker, “Incorporating the Influence of Latent Modal Preferences on Travel Mode Choice Behavior,” Transportation Research Part A, 2013, Vol. 54, pp. 164-178.
Li, J., J.L. Walker, S. Srinivasan and W.P. Anderson, “Modeling Private Car Ownership In China: Investigation of Urban Form Impact Across Megacities,” Transportation Research Record, 2010, No. 2193, pp. 76-84.
Walker, J.L., J. Li., S. Srinivasan and D. Bolduc, “Travel Demand Models in the Developing World: Correcting for Measurement Errors,” Transportation Letters: The International Journal of Transportation Research, 2010, Vol. 2, No. 4, pp. 231-243.
Walker, J.L. and S. Bush, “Seven Critical Directions for Integrated Land Use-Transport Models,” in (R. Kitamura and T. Yoshii, eds.) The Expanding Sphere of Travel Behaviour Research: Selected Papers from the 11th International Conference on Travel Behavior Research, Emerald Group Publishing Limited, 2009, pp. 475-480.
Walker, J.L., "Opening up the Black Box: Enriching Behavioral Models of Spatial and Travel Choices," Journal of Transport Geography, 2006, Vol. 14, No. 5, pp. 396-398.
Walker, J.L., "Making Household Microsimulation of Travel and Activity Accessible to Planners," Transportation Research Record, 2005, No. 1931, pp. 86-98.
Dong, X., M. Ben-Akiva, J. Bowman and J. Walker, "Moving from Trip-Based to Activity-Based Measures of Accessibility," Transportation Research Part A, 2006, Vol. 40, No. 2, pp. 163-180.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R E S E A R C H G R A N T S“What can a bike lane do? Performance metrics for proposed bicycle infrastructure,” University of California Center on Economic Competitiveness in Transportation, 2015-present, (PI)
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “From Trend Spotting to Trend Setting: Modeling the Impact of Major Technological and Infrastructure Changes on Travel Demand,” University of California Center on Economic Competitiveness in Transportation, 2015-present (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Water, Sanitation, and Transport Provision in the Global South: Integrating the Informal and Formal Sectors,” Institute of International Studies, UC Berkeley, 2014-present (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “The Impact of the Sharing Economy on Latent Individual Modal Preferences,” University of California Transportation Center, 2013-present (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Influence of Transit Service Quality on Rider Satisfaction and Behavior,” San Francisco County Transportation Authority, 2015 (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Leveraging Advances in Technology and the Behavioral Sciences to Institute Long-Term Travel Behavior Change,” Berkeley Energy and Climate Institute, 2013-2015, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “A Global Comparison of the Drivers of Auto Ownership,” UC Berkeley Global Metropolitan Studies Seed Grant, 2012-2014, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Creating Mobile Laboratories for Studying Human Behavior: Is Unhealthy Eating a Matter of Price or Preference?” Center for Information Technology Research in the Interest of Society (CITRIS), 2011-2012, (Co-PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “NetDiary: The Travel Behavior Data System,” University of California Transportation Center, 2011-2012, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “XLab mobile – Creating Mobile Laboratories for Studying Human Behavior,” UC Berkeley seed money from three sources: XLab, Associate Vice Chancellor for Research, and Dean of Social Science Research, 2011, (Co-PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Revolutionizing Transportation Modeling due to a Revolutionized Data Collection Environment,” Hellman Family Faculty Fund, 2010-2011, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Revisiting the Use of Traveler Information to Induce Mode Shifts,” University of California Transportation Center, 2010-2011, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Sustainable Transportation: Technology, Mobility, and Infrastructure,” UC Multicampus Research Programs and Initiatives, 2009-2011, (Co-PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Employing Lessons from Behavioral Economics to Promote Sustainable Behaviors and Improve Travel Demand Models,” University of California Transportation Center, 2008-2010, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Drawing Linkages Between the Use of Wireless Infrastructure and Long-Range Transportation Planning,” UC Berkeley Volvo Center of Excellence, 2008-2010, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “CAREER: Taking Attitudes Seriously: A Multi-Contextual Approach to Behavioral-Modeling,” Faculty Early Career Development (CAREER) Program, Presidential Early Career Award for Scientists and Engineers (PECASE), National Science Foundation, 2007-2013, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Evaluation Framework for the Integrated Corridor Management Program,” John A. Volpe National Transportation Systems Center, 2007-2008, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “Influence of the Allocation of Food Resources on Nutritional Choices,” Boston University Office of the Provost SPRiNG Award, 2006-2007, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- “US-Netherlands Workshop: Frontiers in Transportation: Social and Spatial Interactions, Amsterdam, The Netherlands,” National Science Foundation, 2005-2007, (PI) ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Complete List of Publications > Complete List of Presentations > |