基于服务的地理信息系统在战略规划服务交付中的应用:地点、时间和类型以曼苏拉市第一小学战略规划为例

B. Shabana
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引用次数: 1

摘要

智慧城市是基于创新信息和通信技术不断发展的新概念。思维和物联网必须成为智慧城市的核心技术。认为“服务和维护必须通过数字飞机进行管理”。基于位置的服务(LBS)是一种面向广泛用户的服务。越来越多的LBS将对转型产生不良影响。建设智慧城市的目标之一是减少交通拥堵和交通需求。本文利用地理信息系统(GIS)和空间分析技术对LBS进行决策支持。目标是根据三个因素预先确定满足服务需求的最佳服务地点:地点、时间和服务类型。教育是对人类最伟大的服务。本文的重点是考虑服务因素和客户需求,通过应用已开发的GIS平台,通过满足客户需求和满足智慧城市目标所需的资产来通知服务提供商。小学第一阶段招收6岁学生,建议平台根据学生所在地、出生日期、教育类型要求,提前5年确定学校平面。该平台在埃及的曼苏拉市得到了应用。该平台采用地理信息处理工具,使用GIS中的Python编程语言(arcPy)实现功能和过程(“按属性拆分”、“周期服务平面”)。地理编码处理用于将学生的地址转换为空间位置,这是地理关系分析所必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GIS Utilization for Strategic Planning Service Delivery Based on Service: Location, Time, And Type; A Case Study: 1st Primary Schools’ Strategic Planning in Mansoura City.
Smart cities are new and evolving concept based on innovative information and communication technologies. Thinks and Internet of Thinks (IoT) must be core technologies in smart cities. Thinks’ services and maintenance must be managed through digital planes. Location based service (LBS) are service targeted to a wide range of users. The increasing number of LBS will have a bad impact on transitions. One of the objectives of building smart cities is to reduce the traffic congestion and transportation demand. This paper utilizes Geographic Information System (GIS) and spatial analysis techniques for decision support of LBS. the objective is the advance determination of the best service location for covering services requirement based on three factors: location, time and type of service. Education is the greatest service required for humanity. This paper focuses on considering service factors and client requirements by applying a developed GIS platform to inform service provider by the assets required to cover customer needs and meets smart cities goals. While 1st stage of primary schools accepts students in age of 6 years, the suggested platform determines schools’ plane for 5 years in advance, according to: student location, date of birth, and education type requirement. The suggested platform was applied on Mansoura city, Egypt. That platform was designed by: using geoprocessing tools, and Python programming language of GIS (arcPy) for implementing functions and procedures (“split by attribute”, “periodic service plane”). Geocoding processing is used for converting students’ addresses to spatial location, which is necessary for geo-relational analysis.
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