Parking Demand for Elementary & Secondary Schools in Jordan

B. Al-Omari
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Abstract

This study aimed at investigating parking demand at elementary and secondary schools in Irbid city; the second largest city in Jordan, to identify the main influencing factors, and develop models to predict future demand based on local conditions. The major considered factors included school area, number of students, number of teachers, number of classrooms, gender of students, education level (elementary, secondary), and school ownership (public, private). A total of 118 different types of schools were surveyed from different areas in Irbid City. The required field data were collected on regular weekdays by field surveys and manual counting for the total number of parked vehicles and the variation during the schools working hours, while schools descriptive information’s were obtained from the directorate of education in Irbid city. Peak demand models for different types of schools were developed using multiple linear regression analysis by SPSS software. The results of the study showed that the main affecting factors on school parking demand include the total number of students, classrooms, and teachers. However, more focus was given to the number of students due to collinearity among these main independent variables and to be consistent with the international practice.
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约旦中小学的停车需求
本研究旨在调查伊尔比德市中小学校的停车需求;约旦第二大城市,以确定主要影响因素,并根据当地情况开发预测未来需求的模型。主要考虑的因素包括学校面积、学生人数、教师人数、教室数量、学生性别、教育水平(小学、中学)、学校所有制(公立、私立)等。在伊尔比德市不同地区共调查了118所不同类型的学校。所需的实地数据是在正常工作日通过实地调查和人工计算停放车辆总数和学校工作时间内的变化来收集的,而学校的描述性信息则是从伊尔比德市教育局获得的。采用SPSS软件进行多元线性回归分析,建立不同类型学校的高峰需求模型。研究结果表明,学校停车需求的主要影响因素包括学生总数、教室总数和教师总数。然而,由于这些主要自变量之间的共线性,因此更多地关注学生人数,并与国际惯例保持一致。
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审稿时长
16 weeks
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