A Mixed Discrete and Continuous Choice Model For Automobile Ownership and Use

碩士 === 國立成功大學 === 都市計劃研究所 === 82 === In the past, the majority of the studies of automobile growth has been concentrated on the problem of ownership. The equally importent issue of their utilization has been ignored. Indeed, auto choice and use are two di...

Full description

Bibliographic Details
Main Authors: Yu-Ching Lin, 林裕清
Other Authors: Yu-Sheng Chiang
Format: Others
Language:zh-TW
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/52749388742127608919
Description
Summary:碩士 === 國立成功大學 === 都市計劃研究所 === 82 === In the past, the majority of the studies of automobile growth has been concentrated on the problem of ownership. The equally importent issue of their utilization has been ignored. Indeed, auto choice and use are two different yet highly related pro- blems. The factors influencing auto ownership and their utili- zation are different, therefore, the strategies for controlling them should be different as well. This is part of the reason why the commonly used strategies of controlling automobile growth in the pass have not been successful. Auto ownership is a discrete choice while its use is a conti- nuous choice. Therefore, auto choice and use is a mixed discrete and continuous problem. This study tries to develop a disaggre- gate discrete-continuous model for studying the behavior of automobile holding and use in Taiwan. Zero consumption is treated as an alternative in the discrete choice. Due to time and budget constrain, this study surveyed only the households of five major metropolitan areas in Taiwan to collect the data for analysis. The model was estimated using Heckman''s two-stage process. The auto choice is specified as Logit and Probit models, and auto use is specified as regression model. Data analysis and empirical estimation results indicated that the most significant variable influencing households'' auto ownership is "% use for work", and the major variable affecting households'' auto utilization is "transit travel time". Sensitive analysis also showed that these two variables are quite sensi- tive in the choice of auto ownership and usage.