دانلود رایگان مقاله لاتین تحلیل درخت طبقه بندی عوامل موثر بر انتخاب پارکینگ از سایت الزویر
عنوان فارسی مقاله:
تجزیه و تحلیل درخت طبقه بندی عوامل موثر بر انتخاب پارکینگ در قطر
عنوان انگلیسی مقاله:
Classification tree analysis of factors affecting parking choices in Qatar
سال انتشار : 2015
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مقدمه انگلیسی مقاله:
1. Introduction
Qatar, like most countries with rapidly growing economies, is facing serious parking problems. The number of daily trips in Qatar jumped from 1777,000 trips per day in 2000–5498,000 in 2012. There were 287,500 vehicles on the road in Qatar in 2000, compared to 879,039 in 2012 (Shaaban and Hassan, 2014). The number of cars is increasing, but the parking spaces are not sufficient to accommodate this increase. Due to insufficient parking spaces in the designated lots, the problem of illegal parking is rampant. With the increased number of cars in Qatar, additional parking areas are being added. In the context of planning for future parking spaces, it is important to understand the factors affecting people' parking location choices. Parking choices in the rapidly growing cities around the world are not well studied. Most past research deals with this issue in the context of the developed countries (Arnott and Rowse,1999; Hensher and King, 2001; Lambe,1969). However, with the rapid growth of automobile this is now becoming a critical issue to address in the developing world as well. Towards that end, the objective of this study was to find the factors affecting people's revealed choice of parking when different parking options are available. Two commercial centers in the city of Doha were selected for this study; the City Center mall and the Souq Waqif shopping center. Each of these locations has two different parking options with different characteristics available at each location. The paper is organized as follows; first details of the two shopping areas are described along with the available parking options. The next section provides details of the survey followed by preliminary analysis and description of the classification tree algorithm. Data mining methods such as classification tree have not yet been used to understand parking choice selection even as they remain popular for several transportation (e.g. Zhou et al.,
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کلمات کلیدی:
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