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Data monitoring for the assessment of on-street parking demand in CBD areas of developing countries

机译:评估发展中国家CBD地区路边停车需求的数据监测

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摘要

On-street parking is considered as one of the essential and critical components of the urban transportation system. Despite urban sprawl, central business district (CBD) areas continue to attract significant number of trips, especially for shopping, trade and commerce purposes. Most of the cities in developing countries lack the mechanisms to monitor on-street parking demand. Further, the absence of unambiguous on-street parking policy has led to the phenomenon of largely disorganized on-street parking, especially in these cities. Therefore, to formulate parking management measures, it becomes imperative to assess existing on-street parking demand in a rational manner. To comprehend the objective, on-street parking survey using the license plate method was carried out for three days covering a normal working day, weekend and an event day at data monitoring interval of 10 min during peak parking hours for two diverse land-use types namely commercial and hospital in four metropolitan cities of Gujarat, India. Investigations revealed that the data monitoring interval significantly affected recorded parking demand. Recorded parking demand was observed to be insignificant after 30 min and 50 min data monitoring interval for commercial and hospital land-use respectively. The behaviour of parkers was probed by extracting percentage unique of parked vehicles (PUPV). PUPV revealed uniform parking behaviour in different cities, with progressively increasing trend as the data monitoring interval increased. Turnover (E2W/hr/bay) was evaluated for different data monitoring intervals and revealed a decaying trend with an increase in data monitoring interval. The consistency of PUPV (in form of the coefficient of variation (CV)) was observed at 30 min and 50 min data monitoring interval for commercial and hospital land-use respectively. Therefore, to capture all possible variation in on-street parking demand, the study proposes to perform on-street parking inventory and on-street parking evaluation at 30 min and 50 min data monitoring interval for commercial and hospital land-use respectively. The study provides a fundamental insight into the assessment of on-street parking demand using different data monitoring intervals and can accordingly facilitate planners and policymakers to formulate on-street parking demand management measures in developing countries.
机译:路旁停车被认为是城市交通系统的重要组成部分之一。尽管城市蔓延,但中央商务区(CBD)仍继续吸引大量的出行,特别是出于购物,贸易和商业目的。发展中国家的大多数城市缺乏监控路边停车需求的机制。此外,由于缺乏明确的路内停车政策,导致了路内停车现象大为混乱的现象,尤其是在这些城市。因此,制定停车管理措施,必须合理评估现有的路内停车需求。为了理解这一目标,使用了车牌法进行了为期三天的路内停车调查,涵盖了正常工作日,周末和活动日,在两种停车位高峰时段,数据监控间隔为10分钟。即印度古吉拉特邦四个大城市的商业和医院。调查显示,数据监视间隔显着影响了记录的停车需求。在分别为商业和医院土地使用的数据监视间隔分别为30分钟和50分钟之后,观察到记录的停车需求微不足道。通过提取停车车辆的唯一百分比(PUPV)来探究停车人的行为。 PUPV揭示了不同城市的统一停车行为,并且随着数据监视间隔的增加,趋势逐渐增加。针对不同的数据监视时间间隔评估周转率(E2W / hr / bay),并显示出数据监视时间间隔增加的衰减趋势。在商业和医院用地的数据监测间隔分别为30分钟和50分钟时,观察到PUPV的一致性(以变​​异系数(CV)的形式)。因此,为了捕获路边停车需求的所有可能变化,该研究建议分别以30分钟和50分钟的数据监视间隔对商业和医院土地利用进行路边停车库存和路边停车评估。这项研究为使用不同的数据监视间隔评估路边停车需求提供了基本见识,因此可以帮助规划人员和政策制定者制定发展中国家的路边停车需求管理措施。

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