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- W2965718787 abstract "Unlike any previous researches of urban passenger mobility demand on behalf of the travel demand behaviors of the individuals, this study firstly proposes a measurement focusing specifically on the interrelation between the travel times of the individuals and the number of motorized trips they exhibit in a day. It is the first time in the literature that the related measurement is focusing on the additional number of daily motorized trips -instead of focusing on measuring vehicle miles traveled- as a result of decrease in daily motorized travel time. In this sense, a single equation Sample Selection Poisson Regression Model (SSPRM) seems a good candidate to measure the motorized passenger mobility and to integrate it into a trip generation model. The proposed model has shown that a 26 percent decrease in average motorized travel time per capita in Istanbul will make the motorized trip making increase by 6.5%. Non-linear structure of elasticity estimate of SSPRM may further allow us to estimate the spatial variation of generative impact of induced urban passenger mobility within the trip generation models since it is possible to account for the individual characteristics in the estimation of elasticities as long as we have disaggregate spatial data. By the way, these measures of induced passenger motorized mobility might be used in formulating and in assessing any travel demand management policies so as to minimize the motorized trip makings within the urban spaces." @default.
- W2965718787 created "2019-08-13" @default.
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- W2965718787 date "2019-07-01" @default.
- W2965718787 modified "2023-09-23" @default.
- W2965718787 title "Measuring Urban Motorized Passenger Mobility: Evidence from Sample Selection Poisson Regression Model in the Case of Istanbul" @default.
- W2965718787 doi "https://doi.org/10.13189/cea.2019.070404" @default.
- W2965718787 hasPublicationYear "2019" @default.
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