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首页> 外文期刊>Journal of Urban Planning and Development >Determining Parking Demand and Locating Parking Areas Using Geographic Analytics Methods
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Determining Parking Demand and Locating Parking Areas Using Geographic Analytics Methods

机译：使用地理分析方法确定停车需求和定位停车区

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摘要

Worldwide, growing populations and increasing numbers of vehicles have caused a parallel increase in demand for parking areas. Metropolitan cities, especially, are suffering from lack of parking areas. These areas are one of the significant parts of the modern urban transportation system and have significant effects on decreasing traffic loads. Finding the best location for parking areas has become a major challenge for both urban transportation planners and policy makers. This study aims to design an exemplary geographic analytics method for determining parking demand and locating parking areas using the Pendik district of Istanbul (Turkey) as a case study. Parking demand and supply analysis was performed using map algebra in the Geographic Information Systems (GIS) environment. Parking demand was calculated by integrating multiple selected parameters simultaneously, including housing demand, workplace demand, fixed demand, and dynamic demand. After calculating and evaluating parking demand, the location-allocation methods of network analysis were implemented to allocate parking locations based on parking demand and supply. In conclusion, this approach gives a novel data-processing method that determines parking facility locations more accurately to support transportation planning and support sustainable urbanization.
机译：在全球范围内，越来越多的人口和越来越多的车辆导致停车地区需求平行增加。大都市城市，特别是缺乏缺乏停车场。这些地区是现代城市交通系统的重要部分之一，对减少交通负荷具有显着影响。寻找停车场的最佳地点已成为城市交通规划者和决策者的重大挑战。本研究旨在设计一种用于确定停车需求和使用伊斯坦布尔（土耳其）的停车需求和定位停车地区作为案例研究的示例性地理分析方法。在地理信息系统（GIS）环境中使用地图代数进行停车需求和供应分析。通过同时集成多个选定参数，包括住房需求，工作场所需求，固定需求和动态需求来计算停车需求。在计算和评估停车需求之后，实施了网络分析的位置分配方法，以基于停车需求和供应分配停车位。总之，这种方法提供了一种新颖的数据处理方法，可以更准确地确定停车设施位置，以支持运输计划和支持可持续城市化。

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