The Influences of Land Mixed-Use on Travel Demand in Taipel City

碩士 === 國立臺北大學 === 都市計劃研究所 === 91 === ABSTRACT The Influence of Land Mixed-Use on Travel Demand in Taipei City by Hsiao, Po-Cheng June 2003 ADVISOR: Dr. Lin, Jen-Jia DEPARTMENT: GRADUATE SCHOOL OF URBAN PLANNING MAJOR:RELATI...

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Bibliographic Details
Main Authors: Hsiao, po-cheng, 蕭博正
Other Authors: Lin, Jen-Jia
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/80584988495782595816
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Summary:碩士 === 國立臺北大學 === 都市計劃研究所 === 91 === ABSTRACT The Influence of Land Mixed-Use on Travel Demand in Taipei City by Hsiao, Po-Cheng June 2003 ADVISOR: Dr. Lin, Jen-Jia DEPARTMENT: GRADUATE SCHOOL OF URBAN PLANNING MAJOR:RELATIONSHIPS BETWEEN LAND-USE AND TRAVEL PATTERNS DEGREE: MASTER OF LAW As the social-economic conditions and concept of valuation change, most of the issues on transportation planning in developed countries have changed too. In methods releasing traffic jam, they substitute changing travel behavior (e.g. staggered work hours) for increasing transportation supply (e.g. opening new roads.) The method of changing travel behavior to utilize transportation system efficiently is what so-called transportation demand management (TDM.) Because TDM is considered the successful strategy for sustainable development and budget controlling, it becomes important policy in many countries. The land mixed-use is an important issue of TDM. In other developed countries, there are plenty of empirical studies on the policy; therefore, many appropriate recommendations can be proposed to the local government. Land mixed-uses have always been the mode of land development in our country. However, most of the past studies inclined to discuss the aptness of the content of the mixed-used, and the empirical studies on the influence of travel demand were deficient in number. Hence, adequate information for city planning cannot be provided. This study aims to empirically investigate the influence of land mixed-uses on travel demand, by which the TDM strategies are designed for planning authorities. The samples are from the 212 traffic zones of Taipei city, based on the data of land utilization and travel demand offered by the Revenue Service of Taipei City and Bureau of Transportation of Taipei City Government respectively. The independent variables include control variables(total floor space, the area of roads, population, employment, per capital income, private vehicle ownership, number of parking lots, number of subway stations and number of bus routes)and land mixed-use variable. The latter includes kinds of mixture, the content of mixture, and the intensity of mixture. Dependent variables are trip generation and percentage of trips using transit. It evaluates the influences by Multiple Regression method, and in order to ensure the accuracy of the calibration results, examinations of the theoretical assumptions are carried out to get the best linear unbiased estimators; simultaneously, by t- test, whether the intensity of influences will be different apparently owing to different trip purpose is discussed. Accordingly, here are the important results: first, excessive mixed-uses increase trip generation. Second, the types of mixture of housing-employment and retail-employment, decrease trip generation. Third, the allowance of utilization of retail in the residential zoning increases trip generation. Forth, variety of uses raises the percentage of trips using transit. Fifth, the mixed use of retail-employment can’t raise the mode split of transit. Sixth, the influences of land mixed-use on trip generation significantly differ for various trip purposes in which the variations of home based work trips are the most significant. Seventh, the differences of influences of land mixed-uses on mode split of transit, among various trip purposes are insignificant. Finally, this study recommends feasible and concrete strategies on city development according to the assured influences, to decrease trip generation and encourage people to use transit system. 【Keywords】:Land Mixed-Use, Travel Demand, Multiple Regression Model