[1]南棋梦,叶青,李悦.基于GM(1,1)模型与GIS的城市充电设施布局优化[J].华侨大学学报(自然科学版),2025,(2):183-191.[doi:10.11830/ISSN.1000-5013.202409001]
　NAN Qimeng,YE Qing,LI Yue.Optimisation of Urban Charging Facilities Layout Based on GM(1,1)Model and GIS[J].Journal of Huaqiao University(Natural Science),2025,(2):183-191.[doi:10.11830/ISSN.1000-5013.202409001]
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基于GM(1,1)模型与GIS的城市充电设施布局优化()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
期数:
2025年第2期
页码:
183-191
栏目:
出版日期:
2025-03-20

文章信息/Info

Title:
Optimisation of Urban Charging Facilities Layout Based on GM(1,1)Model and GIS
文章编号:
1000-5013(2025)02-0183-09
作者:
南棋梦; 叶青; 李悦
华侨大学 土木工程学院, 福建 厦门 361021
Author(s):
NAN Qimeng;  YE Qing;  LI Yue
College of Civil Engineering, Huaqiao University, Xiamen 361021, China
关键词:
电动汽车;  保有量预测;  充电设施;  Arc GIS;  选址定容
Keywords:
electric vehicles;  ownership forecasts;  charging facilities;  Arc GIS;  siting and capacity
分类号:
U491.8;F224.9
DOI:
10.11830/ISSN.1000-5013.202409001
文献标志码:
A
摘要:
为解决城市充电基础设施分布不均衡、利用不充分问题,采用GM(1,1)模型及Arc GIS空间网络分析功能,对现有充电基础设施布局展开优化。首先,通过灰色预测模型分析未来电动汽车增长情况,以厦门市为例,选取2016-2023年电动汽车保有量数据,经预测至2030年将达到45万辆,以此作为充电总需求计算依据,届时公共充电桩总数需达到64 490个。其次,基于城市交通路网、兴趣点(POI)分布、充电基础设施及公共停车场场点等数据展开核密度分析及缓冲区分析进行初次选址,建立最小化设施点模型完成二次选址。最后,利用Voronoi图对模型选址结果进行检验,并通过位置分配模型完成容量分配。结果表明:至2030年,厦门市需在16处公共停车场处新建充电站,充电站整体扩容比例达到72.89%,在全市3 000 m充电服务半径范围内覆盖率为99.08%,1 500 m范围内为95.41%,基本满足电动汽车用户未来出行的充电需求。
Abstract:
In order to solve the problem of unbalanced distribution and insufficient utilisation of urban charging infrastructure, GM(1,1)model and the spatial network analysis function of Arc GIS are used to optimise the layout of the existing charging infrastructure. The grey prediction model is used to analyse the future growth of electric vehicles,taking Xiamen City as an example, according to the data of electric vehicle ownership from 2016-2023, 450 000 electric vehicles will be predicted by 2030, which is the basis for calculating the total charging demand, and the total number of public charging piles demanded by that time is 64 490. Based on data such as urban transport network, point of interest(POI)distribution, charging infrastructure, and public car park locations, kernel density analysis and buffer zone analysis are conducted for initial site selection, and a minimum facility point model is established to complete secondary site selection. The model site selection results are checked using Voronoi diagrams, and the capacity allocation is completed by the location allocation model. The results show that by 2030, Xiamen City needs to build new charging stations at 16 public car parks, and the overall expansion ratio of charging stations reaches 72.89%, the coverage rate is 99.08% within 3 000 m charging service radius, and 95.41% within 1 500 m radius, which basically meets the charging needs of electric vehicle users for future travel.

参考文献/References:

[1] 宋媛媛,姚恩建,徐洪磊,等.交通运输领域应对气候变化策略及路径[J].清华大学学报(自然科学版),2023,63(11):1707-1718.DOI:10.16511/j.cnki.qhdxxb.2023.26.021.
[2] ZHAO Xiaxiao,JIANG Weijia,LIU Xiangyu,et al.Medium- and long-term electric vehicle ownership forecasting for urban residents[J].World Electric Vehicle Journal,2024,15(5):212.DOI:10.3390/wevj15050212.
[3] DONG Ran,SUN Lijiang.Short-term forecast of EV ownership in Shanghai based on metabolic GM(1,1)-Markov model[J].Journal of Physics: Conference Series,2022,2351(1):012031.DOI:10.1088/1742-6596/2351/1/012031.
[4] DING Song,LI Ruojin.Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model[J].Engineering Applications of Artificial Intelligence,2021,100:104148.DOI:10.1016/j.engappai.2020.104148.
[5] 夏佼,段然,杨颖.基于城市规划的地理信息系统探讨[J].信息系统工程,2024(1):4-7.DOI:10.3969/j.issn.1001-2362.2024.01.003.
[6] SUHANDRI H F,NOZLAN N F.Analysis of public facility(Petrol Pump Station)localization by using Geographic Information System(GIS). Case study: Ayer Hitam-Batu Pahat, Johor[J].IOP Conference Series: Earth and Environmental Science,2023,1205(1):012071.DOI:10.1088/1755-1315/1205/1/012071.
[7] 吴鹏.基于POI数据的电动汽车充电站选址规划[C]//2022世界交通运输大会论文集.重庆: 重庆交通大学,2022:159-165.DOI:10.26914/c.cnkihy.2022.019782.
[8] 韩韶光,邹常丰,何永明,等.电动汽车充电站选址优化: 以哈尔滨市为例[J].交通科技与经济,2023,25(1):42-49.DOI:10.19348/j.cnki.issn1008-5696.2023.01.006.
[9] KEMALA B K L,SURJANDARI I,PUSPITA A N G.Forecasting methods for the electric vehicle ownership: A literature review[J].Procedia Computer Science,2024,234:87-95.DOI:10.1016/j.procs.2024.02.155.
[10] GAO Hui,YANG Lutong,ZHANG Anyue,et al.Analysis of urban electric vehicle trip rule statistics and ownership prediction[J].Symmetry,2021,13(11):2052.DOI:10.3390/sym13112052.
[11] 李梦迪,李娇,薛月光,等.基于灰色-马尔科夫模型评估石雀滩海洋牧场岩礁鱼类碳储量[J].渔业科学进展,2024,45(1):14-22.DOI:10.19663/j.issn2095-9869.20220718001.
[12] 厦门市人民政府.厦门市电动汽车充电设施专项规划(2016-2020)[R].厦门: 厦门市人民政府,2016.
[13] 厦门市统计局.厦门市2023年国民经济和社会发展统计公报[R].厦门: 厦门市统计局,2023.
[14] 沈飞,尚正永.基于POI数据的小学空间分布特征及可达性分析: 以苏州市区为例[J].苏州科技大学学报(自然科学版),2023,40(3):54-61.DOI:10.12084/j.issn.2096-3289.2023.03.007.
[15] 侯慧,唐俊一,王逸凡,等.城区电动汽车充电站布局规划研究[J].电力系统保护与控制,2022,50(14):181-187.DOI:10.19783/j.cnki.pspc.226008.

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备注/Memo

备注/Memo:
收稿日期: 2024-09-01
通信作者: 叶青(1968-),女,教授,博士,主要从事建筑经济与工程项目管理、节能建筑的研究。E-mail:yeqing@hqu.edu.cn。
基金项目: 福建省创新战略研究项目(2023R0040)https://hdxb.hqu.edu.cn/
更新日期/Last Update: 2025-03-20