Location Model for Handicapped and Disabled Bus Service Allocation

碩士 === 國立臺灣大學 === 土木工程學研究所 === 102 === The demand of barrier free transportation has increased due to the aging society in Taiwan. Handicapped &; Disabled Bus (named as Fu-kang Bus in Taiwan), one of the Demand Responsive Transit Service (DRTS), can provide a more convenient transport service fo...

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Bibliographic Details
Main Authors: Pei-Hsian Yuo, 游珮暄
Other Authors: S.K. Jason Chang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/84532969876687068827
Description
Summary:碩士 === 國立臺灣大學 === 土木工程學研究所 === 102 === The demand of barrier free transportation has increased due to the aging society in Taiwan. Handicapped &; Disabled Bus (named as Fu-kang Bus in Taiwan), one of the Demand Responsive Transit Service (DRTS), can provide a more convenient transport service for people moving with difficulty, enhancing their quality of life. As Fu-kang Bus has features of dial-a-ride system operating in shared-ride mode and providing door-to-door services according to passenger’s needs, it is necessary to consider its system planning and design from a different point of view to compare it with conventional public transit systems having fixed route and frequency. The allocation of depot location not only affects the travel distances but also fleet size of the Fu-kang bus operation. Therefore, it is essential to include depot cost, operation cost and passenger cost simultaneously when determining the optimal depot location. This study aims to develop a binary integer programming model to analyze optimized location and fleet size of Fu-kang Bus while minimum total system cost is considered as the objective function. Taipei City is used as the numerical example to verify the applicability of the model developed. The numerical results show that the optimal scale of depots is five and the fleet size is 37 given the current operational environment and demand. Sensitive analysis is also conducted to evaluate the effects of important parameters on the decision variables and system design. It is shown that demand density, vehicle load factor and vehicle hourly cost are most sensitive to the total cost. The model and analysis results of this study could be used as a guideline for design and planning of DRTS and handicapped and disabled transportation services.