دانلود رایگان مقاله تحلیل درخت طبقه بندی عوامل موثر بر انتخاب پارکینگ در قطر

Abstract

Qatar has experienced a significant population growth in the past decade. The growth has been accompanied by an increase in automobile ownership rates leading to parking problems especially in the capital city of Doha. The objective of this study was to find the factors affecting people's choice of parking in this rich developing country when different parking options are available. Two commercial centers located in the city of Doha, Qatar were selected for this study; the City Center mall and the Souq Waqif shopping center. Each location has two different parking options available. Parking options vary in many features including distance to destination, paid/free, covered/open, paved/unpaved, and guarded/unguarded. In addition, the parking options also differed in the ITS infrastructure deployed in the form of intelligent parking space detection system to assist visitors to navigate to an available spot. A survey was handed out to randomly selected visitors at the main entrance of each of these shopping areas to obtain a random sample of study participants. Binary classification tree models were developed to understand the factors associated with binary parking choices at both of these commercial centers. In addition to the demographic factors associated with the parking choice; the reasons for choosing a particular parking option were also explored through the survey. The analysis of survey data presented herein provides an interesting insight into parking choices of the visitors that can be used in planning future parking facilities sand managing existing parking locations. Among the reasons cited by respondents for making their parking choices, “Intelligent Parking Space Detection” was chosen as one of the factors affecting people's choice of parking significantly more often than amenities such as “Wider parking spot”. The findings indicate that future parking investments may be better directed towards smart parking solutions.

6. Conclusions

Parking choices in the rapidly growing cities around the world are not well studied. This study tries to address this gap by analyzing parking choices made by visitors at two commercial centers in the city of Doha, Qatar. One of the commercial centers was the City Center mall, where the choice was between free and paid parking. The other was the Souq Waqif shopping center where the choice was between two paid parking options with one being low capacity/close proximity and the other being farther with significantly higher capacity. The study applies the classification tree model to understand factors associated with these choices. The first application of this data mining technique led to some interesting findings with regards to the parking choice selection. At the city center mall, as expected, respondent income was an important factor in parking selection with higher income respondents being more likely to select the paid parking. However, even the lower income respondents were likely to use the paid parking if they were visiting the mall for less than one hour. It points to the need for having some spots reserved for short-term (possibly up to 60 or 90 min) parking that makes it easier for lower income visitors to be able to park at the more convenient location. At Souq Waqif, both parking options had the same pricing structure. Hence, income was not a significant factor in parking choice. Interestingly, Qatari locals of age less than 45 years, who visited the shopping center more than once a week were the likeliest cohort to use the adjacent lot (P4) with lower capacity. Some members of this cohort may be lured away from the capacity constrained lot, P4, if pricing structure at P3 offers discounts to frequent Souq Waqif visitors