出租车GPS大数据在东莞市“小山小湖”社区公园选址中的应用

Hill and lake Community Park Location Analysis in Dongguan Based on Taxi GPS Data

选址问题是GIS最基本的任务之一。选址通常是考虑一定条件下的空间位置优化,很难将人类的活动情况作为优化因素考虑进来。本文结合东莞市小山小湖社区公园的选址工作,通过分析海量出租车的OD(上下车)记录数据,在选址任务中引入居民实际居住与出行情况作为参考。通过提高人口分布密度这一重要选址影响因素的精度,进而改进小山小湖社区公园的选址情况,这种方法是对传统分析方法的有效补充和创新。基于出租车轨迹数据的选址方法与传统的选址方法相结合,更有效、合理地提高了选址的可靠度。

Location selection issue is one of the most basic tasks in GIS. The general location selection is considered under certain conditions of space optimization, it is difficult to take human activity as the optimization factors into account. This paper proposed a method to improve the community park location selection result by improving the accuracy of population density which is an important factor in community park location selection. We get the population density by analyzing taxi OD （origin and destination） data. Compared with traditional method, this method is innovative and complementory. Combining the traditional location selection method and taxi OD data, we can improve the reliability of the location result more effective and more rational.