دانلود رایگان مقاله ارزیابی عملکرد دینامیکی حمل و نقل اتوبوس با ساختار شبکه چند فعالیتی

عنوان فارسی
ارزیابی عملکرد دینامیکی حمل و نقل اتوبوس با ساختار شبکه چند فعالیتی
عنوان انگلیسی
Dynamic performance assessment of bus transit with the multi-activity network structure
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
32
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4458
رشته های مرتبط با این مقاله
مهندسی مکانیک
گرایش های مرتبط با این مقاله
مکانیک خودرو
مجله
مجله امگا - Omega
دانشگاه
گروه علوم حمل و نقل، دانشگاه ملی اقیانوس تایوان
کلمات کلیدی
تجزیه و تحلیل پوشش شبکه داده های چندگانه - تجزیه و تحلیل پوشش داده های پویا - گذرگاه اتوبوس - اثربخشی - خروجی نامطلوب
چکیده

Abstract


This paper proposes a multi-activity dynamic network data envelopment analysis model that combines the multi-activity, network and dynamic DEA models to assess the performance in terms of individual activities, individual processes, individual periods and overall operation. The main advantage of this model is that the linkages among activities and processes, the shared inputs among activities and processes, and the carry-over items among periods are included in a unified model. It can provide more appropriate performance measures. An empirical application of 20 bus transit firms in Taiwan for the period 2004-2012 is provided. Based on the operational characteristics of bus transit firms, both desirable and undesirable outputs are also incorporated into this model. The results show that none of the bus transit firms was effective in terms of the operational effectiveness, and the sources of operational ineffectiveness among bus transit firms were different. Over the period 2004-2012, the period-operational effectiveness scores maintained stable variance, the period efficiencies of highway and urban bus services appeared to have similar patterns, and transit bus firms performed well in the consumption process.

نتیجه گیری

4. Conclusions


This paper proposes the MDNDEA model, which combines the multi-activity, network and dynamic DEA models, to identify all efficiencies and effectiveness in each activity and process in each period. The main advantage of this model is that the linkage between activities/processes, the shared inputs among activities/processes, and the effects of carry-over items are included in this unified model so as to provide more appropriate measures of performance. We use data on 20 bus transit firms in Taiwan over the period 2004-2012 to illustrate the empirical application. Based on the operational characteristics of bus transit firms, both desirable and undesirable outputs are also incorporated into this model.


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