The Experts below are selected from a list of 228 Experts worldwide ranked by ideXlab platform

Donggen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Modeling traveler Choice Behavior using the concepts of relative utility and relative interest
    Transportation Research Part B: Methodological, 2004
    Co-Authors: Junyi Zhang, Hjp Harry Timmermans, Awj Aloys Borgers, Donggen Wang
    Abstract:

    Individual Choice Behavior usually involves a complex decision-making process, and is often context-dependent reflecting the influence of Choice environment and the fact that the Individual has limited information processing ability and varying levels of interest in alternatives. However, the existing models in transportation have not represented these Behavioral mechanisms satisfactorily, although to avoid the Independence of Irrelevant Alternatives (IIA) property of the widely used multinomial logit (MNL) model, a variety of non-IIA models have been suggested in the literature. This paper will propose another random utility Choice model by introducing the concepts of relative utility and relative interest. A revised MNL model and a revised Nested-MNL model will be developed. Both of these models do not have the IIA property. The performance of these new models will be assessed using conjoint-based activity diary data about the Choice of destination and stop pattern.

Junyi Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Modeling traveler Choice Behavior using the concepts of relative utility and relative interest
    Transportation Research Part B: Methodological, 2004
    Co-Authors: Junyi Zhang, Hjp Harry Timmermans, Awj Aloys Borgers, Donggen Wang
    Abstract:

    Individual Choice Behavior usually involves a complex decision-making process, and is often context-dependent reflecting the influence of Choice environment and the fact that the Individual has limited information processing ability and varying levels of interest in alternatives. However, the existing models in transportation have not represented these Behavioral mechanisms satisfactorily, although to avoid the Independence of Irrelevant Alternatives (IIA) property of the widely used multinomial logit (MNL) model, a variety of non-IIA models have been suggested in the literature. This paper will propose another random utility Choice model by introducing the concepts of relative utility and relative interest. A revised MNL model and a revised Nested-MNL model will be developed. Both of these models do not have the IIA property. The performance of these new models will be assessed using conjoint-based activity diary data about the Choice of destination and stop pattern.

  • A SURVEY AND ANALYSIS METHOD TO EVALUATE INFLUENCE OF PRE-TRIP INFORMATION ON COMMUTER'S TRAVEL Choice BEHAVIOUR
    Traffic and Transportation Studies (2000), 2000
    Co-Authors: Akimasa Fujiwara, Yoriyasu Sugie, Junyi Zhang
    Abstract:

    In this paper, the authors examine the influence of pre-trip information on commuters' travel Choice Behavior. Stated preference experiments are used to obtain Choice data for departure time and travel mode from commuters. A nested paired combinatorial logit (PC) model is used to describe Individual Choice Behavior of continuous departure time in which pre-trip information has been provided.

Wu Jinshan - One of the best experts on this subject based on the ideXlab platform.

  • Free utility model for explaining the social gravity law
    'IOP Publishing', 2021
    Co-Authors: Wang Hao, Yan Xiao-yong, Wu Jinshan
    Abstract:

    Social gravity law widely exists in human travel, population migration, commodity trade, information communication, scientific collaboration and so on. Why is there such a simple law in many complex social systems is an interesting question. Although scientists from fields of statistical physics, complex systems, economics and transportation science have explained the social gravity law, a theoretical explanation including two dominant mechanisms, namely Individual interaction and bounded rationality, is still lacking. Here we present a free utility model, whose objective function is mathematically consistent with the Helmholtz free energy in physics, from the perspective of Individual Choice Behavior to explain the social gravity law. The basic assumption is that bounded rational Individuals interacting with each other will trade off the expected utility and information-processing cost to maximize their own utility. The previous explanations of the social gravity law including the maximum entropy model, the free cost model, the Logit model and the destination Choice game model are all special cases under our model. Further, we extend the free utility model to the network. This model not only helps us to better understand the underlying mechanisms of spatial interaction patterns in complex social systems, but also provides a new perspective for understanding the potential function in game theory and the user equilibrium model in transportation science.Comment: 9 pages, 2 figure

  • Free utility model for explaining the social gravity law
    2020
    Co-Authors: Wang Hao, Yan Xiao-yong, Wu Jinshan
    Abstract:

    Social gravity law widely exists in human travel, population migration, commodity trade, information communication, scientific collaboration and so on. Why is there such a simple law in many complex social systems is an interesting question. Although scientists from fields of statistical physics, complex systems, economics and transportation science have explained the social gravity law, a theoretical explanation including two dominant mechanisms, namely Individual interaction and bounded rationality, is still lacking. Here we present a free utility model from the perspective of Individual Choice Behavior to explain the social gravity law. The basic assumption is that bounded rational Individuals interacting with each other will trade off the expected utility and information-processing cost to maximize their own utility. The previous explanations of the social gravity law including the maximum entropy model, the free cost model, the Logit model and the destination Choice game model are all special cases under our model. Further, we extend the free utility model to the dummy network and real transportation network. This model not only helps us to better understand the underlying mechanisms of spatial interaction patterns in complex social systems, but also provides a new perspective for understanding the potential function in game theory and the user equilibrium model in transportation science.Comment: 9 pages, 3 figure

Hjp Harry Timmermans - One of the best experts on this subject based on the ideXlab platform.

  • Advancing relative utility maximization models: Application to leisure Choice Behavior
    2017
    Co-Authors: Xiaofeng Pan, Soora Rasouli, Hjp Harry Timmermans
    Abstract:

    To better understand Individual Choice Behavior, so-called reference-based models are receiving increasing attention. This paper follows the basic assumption underlying relative utility theory that judgments about Choice alternatives are made relative to one or more reference points and proposes a general framework in which these references points are defined related to Choice alternatives, social network members and time. To do so, first the concept of reference is elaborated such that it acts as an information source and Individuals decide to what extent they should believe it. Then, different model specifications in terms of social network-referenced and time-referenced relative utilities are put forward. Finally, the design of a questionnaire about tourists’ destination and itinerary is presented and descriptive statistics of the collected data are provided.

  • Modeling traveler Choice Behavior using the concepts of relative utility and relative interest
    Transportation Research Part B: Methodological, 2004
    Co-Authors: Junyi Zhang, Hjp Harry Timmermans, Awj Aloys Borgers, Donggen Wang
    Abstract:

    Individual Choice Behavior usually involves a complex decision-making process, and is often context-dependent reflecting the influence of Choice environment and the fact that the Individual has limited information processing ability and varying levels of interest in alternatives. However, the existing models in transportation have not represented these Behavioral mechanisms satisfactorily, although to avoid the Independence of Irrelevant Alternatives (IIA) property of the widely used multinomial logit (MNL) model, a variety of non-IIA models have been suggested in the literature. This paper will propose another random utility Choice model by introducing the concepts of relative utility and relative interest. A revised MNL model and a revised Nested-MNL model will be developed. Both of these models do not have the IIA property. The performance of these new models will be assessed using conjoint-based activity diary data about the Choice of destination and stop pattern.

Yan Xiao-yong - One of the best experts on this subject based on the ideXlab platform.

  • Free utility model for explaining the social gravity law
    'IOP Publishing', 2021
    Co-Authors: Wang Hao, Yan Xiao-yong, Wu Jinshan
    Abstract:

    Social gravity law widely exists in human travel, population migration, commodity trade, information communication, scientific collaboration and so on. Why is there such a simple law in many complex social systems is an interesting question. Although scientists from fields of statistical physics, complex systems, economics and transportation science have explained the social gravity law, a theoretical explanation including two dominant mechanisms, namely Individual interaction and bounded rationality, is still lacking. Here we present a free utility model, whose objective function is mathematically consistent with the Helmholtz free energy in physics, from the perspective of Individual Choice Behavior to explain the social gravity law. The basic assumption is that bounded rational Individuals interacting with each other will trade off the expected utility and information-processing cost to maximize their own utility. The previous explanations of the social gravity law including the maximum entropy model, the free cost model, the Logit model and the destination Choice game model are all special cases under our model. Further, we extend the free utility model to the network. This model not only helps us to better understand the underlying mechanisms of spatial interaction patterns in complex social systems, but also provides a new perspective for understanding the potential function in game theory and the user equilibrium model in transportation science.Comment: 9 pages, 2 figure

  • An interactive city Choice model and its application for measuring the intercity interaction
    2021
    Co-Authors: Jia Xiang-yu, Liu Er-jian, Chen Chun-yan, Yan Xiao-yong
    Abstract:

    Measuring the interaction between cities is an important research topic in many disciplines, such as sociology, geography, economics and transportation science. The traditional and most widely used spatial interaction model is the gravity model, but it requires the parameters to be artificially set. In this paper, we propose a parameter-free interactive city Choice (ICC) model that measures intercity interaction from the perspective of Individual Choice Behavior. The ICC model assumes that the probability of an Individual choosing to interact with a city is proportional to the number of opportunities in the destination city and inversely proportional to the number of intervening opportunities between the origin city and the destination city, calculated using the travel time in the transportation network. The intercity interaction intensity can be obtained by calculating the product of this probability and the origin city's population. We apply the ICC model to measure the interaction intensity among 339 cities in China and analyze the impact of changes in the Chinese land transportation network from 2005 to 2018 on the intercity and city interaction intensity. Compared with the previously widely used spatial interaction models, the measurement results of the ICC model are more consistent with the actual situation.Comment: 9 pages, 7 figure

  • Free utility model for explaining the social gravity law
    2020
    Co-Authors: Wang Hao, Yan Xiao-yong, Wu Jinshan
    Abstract:

    Social gravity law widely exists in human travel, population migration, commodity trade, information communication, scientific collaboration and so on. Why is there such a simple law in many complex social systems is an interesting question. Although scientists from fields of statistical physics, complex systems, economics and transportation science have explained the social gravity law, a theoretical explanation including two dominant mechanisms, namely Individual interaction and bounded rationality, is still lacking. Here we present a free utility model from the perspective of Individual Choice Behavior to explain the social gravity law. The basic assumption is that bounded rational Individuals interacting with each other will trade off the expected utility and information-processing cost to maximize their own utility. The previous explanations of the social gravity law including the maximum entropy model, the free cost model, the Logit model and the destination Choice game model are all special cases under our model. Further, we extend the free utility model to the dummy network and real transportation network. This model not only helps us to better understand the underlying mechanisms of spatial interaction patterns in complex social systems, but also provides a new perspective for understanding the potential function in game theory and the user equilibrium model in transportation science.Comment: 9 pages, 3 figure