The Estimation Model of Daytime Population-A Case Study for Banks and Stocks in Taipei

碩士 === 國立交通大學 === 交通運輸研究所 === 87 === The daytime population can be the index of social economic activities of transportation service demand. The definition of daytime population was focused on the flowing-in numbers, while not on the stay-on numbers in the past. The planning of parking pots based on...

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Bibliographic Details
Main Authors: WEN-YING CHENG, 鄭雯瑛
Other Authors: Cheng-Min Feng
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/48999413572095136980
Description
Summary:碩士 === 國立交通大學 === 交通運輸研究所 === 87 === The daytime population can be the index of social economic activities of transportation service demand. The definition of daytime population was focused on the flowing-in numbers, while not on the stay-on numbers in the past. The planning of parking pots based on flowing-in numbers would easily cause overestimation and unnecessary waste. Besides, overestimation would also happen on preventing disasters while using flowing-in numbers. Therefore, in this study, stay-on numbers was proposed. It is equal to "flowing-in numbers" minus "flowing-out numbers" in a certain period of time. In the past, most of the daytime population was obtained from survey and used the residential employees, the working people or the numbers of trip attraction as the index. However, data from survey may not be applicable to different areas and periods. So in the study, estimation models of daytime population based on stay-on numbers were established, from which time and area varied daytime population are available. The survey areas are in the commercial zones in Taipei and the survey targets are banks and stocks. The regression models were established to predict daytime population of the banks or the stocks. Finally, the comparisons of the two daytime populations were made. The study concluded that daytime population of banks is affected by land-use regulation, while not by time distribution; daytime population of stocks is not affected by both time and land-use regulation. Daytime population of banks for commercial zone 2 is statistically significant, which may be due to more frequent business activities existing in such street commercial zone. When the employee increases one unit will increase daytime population 2.353 units in the stocks, and 1.32 units in the banks. Thus daytime population of the stocks is larger than that of the banks.