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- W2178045684 abstract "The Intervening Opportunity Model (IOM) is a powerful analytical and probabilistic model used to model trip distributions. Although compared to other models this model uses a powerful analytical level to model distribution of inessential trips, the basic limitation in this model is the presumption that trip makers are fully aware of all available opportunities in the area and their trip lengths to all possible destinations and that they scrupulously evaluate all the destinations during their decision making process. This assumption fails to hold true consistently, especially in big cities. This paper has attempted to present and test a new method to omit the limitations inherent in a conventional intervening opportunity model and maximize its compatibility with the common destination choice pattern of home-based shopping trips. The overall idea is that for the main parameters of the intervening opportunity model (i.e., the opportunity and destination ranking variables) some coefficients and weights may be considered to calibrate the model once these weights and coefficients are calculated and included. Since the factors relevant to the knowledge of the trip makers about the opportunities at destinations (the market knowledge factor) and also the knowledge on the accessibility of the shopping destinations (accessibility factor) are both fuzzy concepts, the authors examined and tested the idea of applying fuzzy logic in the development of an intervening opportunity model. The positive result of the study is called a Fuzzy Intervening Opportunity Model (FIOM). The fuzzy intervening opportunity model is presented in three groups with a significant goodness of fit with the observed data." @default.
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- W2178045684 date "2012-02-01" @default.
- W2178045684 modified "2023-10-16" @default.
- W2178045684 title "A fuzzy intervening opportunity model to predict home-based shopping trips" @default.
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- W2178045684 doi "https://doi.org/10.1139/l11-097" @default.
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