Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

IF 0.7 Q4 TRANSPORTATION
Ashwani Bokadia
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引用次数: 0

Abstract

Nowadays, parking is a challenging issue all around the world, especially in the Central Business District (CBD) during the day and in residential areas during the night. Parking demand in CBD is increasing day by day due to insufficient off-street parking facilities and the tendency to park near the destination. The on-street night parking demand is increasing in residential areas due to the non-availability of sufficient off-street parking facilities on the premises. In this study, one residential area in Roorkee has been selected as the case study area. Socio-economic, demographic and parking characteristics were used as parameters to generate the parking demand model. The selected parameters were collected from the field using the in-out survey and questionnaire survey. Two parking demand models were developed by logistic regression analysis. The first model was developed without the parking fees, while the second model considers parking fees as a parameter. Also, the sensitivity analysis was done on both models to examine the changes in the existing parking demand.
街道夜间停车需求评估:以鲁尔基市为例
如今,停车在世界各地都是一个具有挑战性的问题,尤其是白天在中央商务区(CBD)和晚上在住宅区。由于非街道停车设施的不足以及人们倾向于将车停在目的地附近,CBD的停车需求日益增加。由于房地内没有足够的非街道停车设施,住宅区夜间的街道停车需求正在增加。在本研究中,选择了一个位于Roorkee的住宅区作为案例研究区域。以社会经济、人口统计学和停车特征为参数,建立停车需求模型。所选参数采用入-出调查和问卷调查的方式从现场收集。通过logistic回归分析,建立了两个停车需求模型。第一个模型不考虑停车费,第二个模型考虑停车费作为参数。同时,对两种模型进行敏感性分析,以考察现有停车需求的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.30
自引率
0.00%
发文量
19
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