ESTIMATING SHOPPING DESTINATION CHOICE MODELS FROM TRAVEL DIARY DATA
作者： Eric J. Miller , Morton E. O'Kelly
DOI: 10.1111/J.0033-0124.1983.00440.X
关键词: Variables 、 Mixed logit 、 Time dependency 、 Econometrics 、 Economics 、 Logit 、 Time series
摘要: This paper examines the issue of modeling dynamic aspects shopping trip-making behavior using time series data and presents results an empirical analysis based on a two-week travel diary survey households in Hamilton, Ontario. It is concluded that logit models incorporating dependent variables perform significantly better terms both calibrated goodness-of-fit predictive capabilities than do which assume no dependency between choices.
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