测绘通报 ›› 2022, Vol. 0 ›› Issue (8): 143-148,154.doi: 10.13474/j.cnki.11-2246.2022.0247

• 技术交流 • 上一篇    下一篇

基于时空影响因子的未来社区生活圈公共服务设施优化配置

余正1, 上官宗珊1, 周丹丹2, 刘同伟1, 黄奥婕1, 陈喜嘉1, 谢文煜1, 邹成畅1   

  1. 1. 温州设计集团有限公司, 浙江 温州 325000;
    2. 龙湾区住房和城乡建设局, 浙江 温州 325024
  • 收稿日期:2022-02-14 发布日期:2022-09-01
  • 作者简介:余正(1982-),男,硕士,高级工程师,主要研究方向为地图学与地理信息。E-mail:94520499@qq.com

Optimizing allocation of public service facilities in future community living circle based on time and space

YU Zheng1, SHANGGUAN Zongshan1, ZHOU Dandan2, LIU Tongwei1, HUANG Aojie1, CHEN Xijia1, XIE Wenyu1, ZOU Chengchang1   

  1. 1. Wenzhou Design Assembly Co., Ltd., Wenzhou 325000, China;
    2. Longwan District Housing and Urban Rural Development Bureau, Wenzhou 325024, China
  • Received:2022-02-14 Published:2022-09-01

摘要: 公共服务设施作为社区生活圈的核心内容,直接决定了社区生活圈的生活品质。对社区公共服务设施建设情况进行量化评价,并对设施建设的未来规划提供科学决策支持逐渐成为规划者和决策者的一大难题。本文通过ArcGIS工具对POI数据进行处理、统计和可视化,在总结他人社区生活圈量化评价方法的基础上,结合温州本地特色,搭建了一套社区生活圈公共服务设施评价模型。利用该模型可对各类社区进行综合评分和分级,并根据模型评分结果挖掘公共服务设施未来优化方向。此外,还实现了社区生活圈评分的动态计算与展示,为社区服务设施建设选址、路网建设与公共服务设施建设优先级评定等提供决策支持。既可帮助规划者和决策者快速建立对整个区域生活圈建设现状的量化认知,又可助力公共服务设施的优化配置,为社区生活圈公共服务品质评价与提升探寻全新的思路与方法。

关键词: 社区生活圈, 公共服务设施, 评价模型, 动态评分, 优化配置

Abstract: As the core content of community life circle, public service facilities directly determine the level of life quality of community life circle. How to quantitatively evaluate the construction of community public service facilities and provide scientific decision support for the future planning of facility construction has gradually become a major problem for planners and decision-makers. In this study,POI data is processed, counted and visualized by ArcGIS tool. On the basis of summarizing the quantitative evaluation methods of other people's community living circles, a set of evaluation model of public service facilities in community living circles is built by combining the local characteristics of Wenzhou. The model can be used to comprehensively score and grade various communities, and the future optimization direction of public service facilities can be mined according to the model scoring results. In addition, this study realizes the dynamic calculation and display of community living circle score, and provides decision support for the site selection of community service facility construction, road network construction and priority assessment of public service facility construction. This study can not only help planners and decision makers to quickly establish a quantitative understanding of the current situation of the entire regional living circle construction, but also help to optimize the allocation of public service facilities, and explore new ideas and methods for the evaluation and improvement of public service quality in community living circle.

Key words: community life circle, public service facility, evaluation model, dynamic scoring, optimal allocation

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