工作日活動類型選擇與時間使用之多重間斷-連續分析

本研究旨在探討受訪者工作日活動類型選擇與時間使用分析。根據過去文獻後，使用多重間斷連續極值模型作為估計方法，並在飽和參數有無異質下，建立活動時間的模型。模型估計探討社會經濟特性與活動特性對於活動類型選擇與時間使用之影響，透過飽和參數異質性，觀察活動類型的時間使用。本研究依據概似比指標、AIC與BIC績效指標作為模式評比指標，估計結果顯示具有飽和參數異質性的模式指定具有最佳的模式解釋能力。在對於活動類型選擇的影響變數方面，重要影響包括男性、年齡、個人月收入、家戶月收入、退休/家管、家庭人口數、接送需求、國小/國中子女數；而在活動時間使用的影響變數方面，女性、老年、職業狀況、接送需求等變數皆有顯著且正向影響。整體而言，在活動類型選擇與時間使用方面，女性會較男性花時間在購物時間，而60歲以上較其他年齡層花更多時間在購物活動，工作活動則是零售業、運輸業、餐飲業相較於其他職業則是花較多時間。在模型結果的意涵方面，女性與老年人會花較長時間在購物活動，故建議可針對這兩族群進行購物專區的規劃。

This research aims to investigate the analysis of activity type choice and time use on weekdays by the multiple discrete continuous extreme value model. Assuming the existence of satiation effects, this study estimated the model with the specification of socio-demographic and activity characteristics. This study compares those proposed models by criteria of likelihood ratio index, Akaike Information Criterion, and Bayes Information Criterion. The result shows that model with heterogeneous saturation effect owns a well explanatory power.The results indicate that the important variables affecting the choice of activity type include male, age, personal monthly income, household monthly income, retirement/ housewife , household population, pick-up demand, number of children in elementary/junior high school; and the important variables affecting time use include women, elderly, occupational status, pick-up demand. In the aspect of activity type choice and time use, women spend more time at shopping than men, and elderly spend more time shopping activities than other age groups. On the whole, the time use of work activity for occupational group of retail, transportation, and restaurant spend more time than other occupations. In terms of the model implication, women and elderly will spend more time on shopping activities, so it is recommended to plan for the shopping area for these two groups.