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Random Utility Based Estimation Framework for the Household Activity Pattern Problem
| 题名： | Random Utility Based Estimation Framework for the Household Activity Pattern Problem |
| 作者： | Kang, J. E. |
| 关键词： | Travel patterns##Travel decisions##Surveys##Urban areas##Transportation planning##Interviews##Methodology##Data processing##Policies##Central city##Households## |
| 摘要： | This paper develops a random utility based estimation framework for the Household Activity Pattern Problem (HAPP). Based on the realization that output of complex activity-travel decisions form a continuous pattern in space-time dimension, the estimation framework is treated as a pattern selection problem. In particular, we define a variant of HAPP that has capabilities of forecasting activity selection and duration in addition to activity sequencing. The framework is comprised of three steps, (i) choice set generation, (ii) choice set individualization and (iii) multinational log it estimation. The estimation results show that utilities for work, shopping and disuilities for travel time, time outside home, and average tour delay are found to be significant in activity-travel decision making. |
| 总页数： | 35 |
| 报告类型： | 科技报告 |
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