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Geographical Information Systems-Based Bus Stop Accessibility and Safety Analysis-A Case Study of the Coimbatore Corporation

机译:基于地理信息系统的公交车站可访问性和安全性分析 - 以COIMBATORE CORPORATION为例

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Road Transport is the backbone of Indian economy and Buses play an indispensable role in serving the transport requirements of any city in India. Bus stop location is the principal factor which influences the level of service of bus transport network and should be extremely accessible and accident-free. This paper proposes a three-step integrated method to optimize the location of existing bus stops for improving the level of accessibility and public safety by using collected accident data from police records using Spatial analysis tools of ArcGIS. The first step includes a weighted overlay analysis of kernel density estimation (KDE), Point density analysis (PDA) and Inverse Distance Weighting (IDW) of existing bus stops to analyze its accessibility. The second step is to study the three years of Traffic Accidents (2013-2015) in Coimbatore, Tamil Nadu, India. The network KDE uses Traffic accident data and graphically displays the areas highly prone to accidents. The third step is to overlay the high accessibility and accident analysis maps to identify the highly vulnerable bus stops. This approach could help transportation authorities and security specialists to determine and prioritize bus stops that require more safety attention and areas without adequate bus stops.
机译:公路运输是印度经济的骨干,公共汽车在为印度任何城市的运输要求提供不可或缺的作用。巴士站位置是影响总线运输网络服务水平的主要因素,并应极度访问,无论是无意识的。本文提出了一种三步集成方法,可以通过使用ArcGIS的空间分析工具使用来自警察记录的收集的事故数据来优化现有总线停止的位置,以提高可访问性和公共安全的水平。第一步包括现有总线停止的核密度估计(KDE),点密度分析(PDA)和逆距离加权(IDW)的加权覆盖分析,以分析其可访问性。第二步是研究印度泰米尔纳德邦的Coimbatore的三年交通事故(2013-2015)。网络KDE使用交通事故数据并以图形方式显示高度容易发生的区域。第三步是覆盖高可访问性和事故分析图以识别高度脆弱的公交车站。这种方法可以帮助运输当局和安全专家确定和优先排序,要求在没有足够的公共汽车站的情况下需要更多的安全注意力和区域。

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