基于网络地图的多交通模式医疗设施可达性分析

doi:10.12082/dqxxkx.2022.210260

摘要/Abstract

摘要：

由于城镇化发展迅速、居民对医疗服务需求的提高,使得城市人口密集区域医疗服务压力增大,因此进行医疗服务设施可达性分析具有重要意义。本文以福州市主城区为例,医疗数据来自于福州市卫健委,利用爬虫技术获得小区户数进行人口估算,基于早、中、晚各时段的实时路况信息,计算居民点到医疗服务设施的最优路径旅行时间,并绘制医疗服务等时区,利用高斯距离衰减函数改进的两步移动搜法（Gaussian-Two Step Floating Catchment Area Method, Ga-2SFCA）,考虑出行模式,对福州市主城区二级以上医院进行可达性分析。结果表明：① 驾车出行模式下,医疗服务覆盖率和居民就医可达性要明显好于公共交通出行模式;② 驾车出行模式下,医疗服务可达性受出行时段影响较大;而公共交通出行方式下,各时段差异较小;③ 随着时间阈值的增大,居民点的医疗服务可达性等级提升,且高等级可达性范围逐渐扩大;④ 驾车模式下的医疗可达性空间分布和道路保持一致,呈现出“环线层次”的现象;而公共交通模式下的可达性空间分布由于受到城市公交微循环系统的影响,呈现出“轴向扩张”的现象。

关键词: 医疗服务设施, 公共交通, 驾车, 百度地图, 旅行成本, 可达性, 高斯两步移动搜索法, 福州市主城区

Abstract:

Owing to the rapid advent of urbanization and the increasing demand for medical services by residents, the pressure on medical services in densely populated areas is surging. The analysis of the accessibility of medical service facilities is of primordial importance. In this study, the medical data was garnered from the Fuzhou Municipal Health Commission, and the crawler technology was used to yield the number of residential households to estimate the population. By use of the Baidu map to obtain the real time road condition information of the peak and non-peak time periods, the access time under the optimal route from the community residential districts to the hospital based on the real-time road condition was calculated, and the time zones of medical services were drawn. The accessibility of general hospitals in the main urban area of Fuzhou was analyzed using the two-step mobile (Ga-2SFCA) search method boosted by the Gaussian distance attenuation function, considering factors such as the travel mode, searching time threshold, and travel peak hours. The results yielded show that: (1) By integrating Baidu Map API into Ga-2SFCA model, multivariate and fine-grained analysis of accessibility was implemented, leading to the accurate measurement of urban medical service supply and demand; (2) The time cost of public transportation at different periods was less affected by traffic congestion, and reaching tertiary hospitals was faster. Under the premise of advocating green transportation, this mode of public transportation was recommended for medical treatment; (3) Under different conditions, the accessibility of medical facilities depended on the space of residential differentiation characteristics significantly, on the whole presenting a "single center" and "diminishing layer coil" distribution. High accessibility of residential areas was mainly distributed in urban core areas, and the lower level of accessibility settlement distribution was in the peripheral urban areas. However, other factors can also influence accessibility, such as the time threshold. The accessibility level of medical services markedly differed with the transportation mode, and the accessibility of medical services was significantly higher along the subway. The choice of off-peak travel time can effectively improve the level of medical service; (4) Due to the layout of urban expressways, the spatial distribution of medical accessibility in driving mode was consistent with that of roads, presenting a "loop level" pattern. However, the spatial distribution of accessibility under the public transport mode was affected by the urban bus microcirculation system, displaying the trait of "axial expansion." The method used in this paper provides a new scientific method for refined measurement and analysis of the accessibility of medical service facilities.

Key words: medical service facilities, public transport, driving, baidu map, travel cost, accessibility, gauss two-step floating catchment area method, the central urban areas of Fuzhou

郭琛琛, 梁娟珠. 基于网络地图的多交通模式医疗设施可达性分析[J]. 地球信息科学学报, 2022, 24(3): 483-494.DOI:10.12082/dqxxkx.2022.210260

GUO Chenchen, LIANG Juanzhu. Accessibility Analysis of Medical Facilities based on Multiple Transportation Modes of Network Map[J]. Journal of Geo-information Science, 2022, 24(3): 483-494.DOI:10.12082/dqxxkx.2022.210260

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参考文献 33

[1]	李春桃. 哈尔滨市医疗设施空间可达性及布局优化研究[D]. 哈尔滨:哈尔滨师范大学, 2020.
	[ Li C T. Research on spatial accessibility and layout optimization of medical facilities in Harbin[D]. Harbin: Harbin Normal University, 2020.]
[2]	陈秋晓, 侯焱, 吴霜. 机会公平视角下绍兴城市公园绿地可达性评价[J]. 地理科学, 2016, 36(3):375-383.
	[ Chen Q X, Hou Y, Wu S. Assessment of accessibility to urban parks in Shaoxing city from the perspective of opportunity equity[J]. Scientia Geographica Sinica, 2016, 36(3):375-383. ] DOI: 10.13249/j.cnki.sgs.2016.03.008
[3]	Hansen W G. How accessibility shapes land use[J]. Journal of the American Institute of Planners, 1959, 25(2):73-76. DOI: 10.1080/01944365908978307 doi: 10.1080/01944365908978307
[4]	Perry B, Gesler W. Physical access to primary health care in Andean Bolivia[J]. Social Science & Medicine, 2000, 50(9):1177-1188. DOI: 10.1016/s0277-9536(99)00364-0 doi: 10.1016/S0277-9536(99)00364-0
[5]	Alam B M, Thompson G L, Brown J R. Estimating transit accessibility with an alternative method: Evidence from broward County, Florida[J]. Transportation Research Record: Journal of the Transportation Research Board, 2010, 2144(1):62-71. DOI: 10.3141/2144-08 doi: 10.3141/2144-08
[6]	Hu L R, He S J, Han Z X, et al. Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies[J]. Land Use Policy, 2019, 82:657-673. DOI: 10.1016/j.landusepol.2018.12.030 doi: 10.1016/j.landusepol.2018.12.030
[7]	Joseph A E, Bantock P R. Measuring potential physical accessibility to general practitioners in rural areas: A method and case study[J]. Social Science & Medicine, 1982, 16(1):85-90. DOI: 10.1016/0277-9536(82)90428-2 doi: 10.1016/0277-9536(82)90428-2
[8]	Luo W, Wang F H. Measures of spatial accessibility to health care in a GIS environment: Synjournal and a case study in the Chicago region[J]. Environment and Planning B: Planning and Design, 2003, 30(6):865-884. DOI: 10.1068/b29120 doi: 10.1068/b29120
[9]	陈杰. 基于网络地图服务的公共设施多模式交通时空可达性测度研究[D]. 南京:南京大学, 2019.
	[ Chen J. Measuring spatio-temporal accessibility of public facilities in multi-mode transportation networks based on WMS: Taking Nanjing as an example[D]. Nanjing: Nanjing University, 2019. ]
[10]	王奇. 基于改进两步移动搜索法的上海市医疗服务可达性分析[D]. 武汉:武汉大学, 2019.
	[ Wang Q. Accessibility analysis of medical services in Shanghai based on improved 2SFCA[D]. Wuhan: Wuhan University, 2019. ]
[11]	陶卓霖, 程杨. 两步移动搜寻法及其扩展形式研究进展[J]. 地理科学进展, 2016, 35(5):589-599. doi: 10.18306/dlkxjz.2016.05.006
	[ Tao Z L, Cheng Y. Research progress of the two-step floating catchment area method and extensions[J]. Progress in Geography, 2016, 35(5):589-599. ] DOI: 10.18306/dlkxjz.2016.05.006
[12]	宋正娜, 陈雯, 车前进, 等. 基于改进潜能模型的就医空间可达性度量和缺医地区判断——以江苏省如东县为例[J]. 地理科学, 2010, 30(2):213-219.
	[ Song Z N, Chen W, Che Q J, et al. Measurement of spatial accessibility to health care facilities and defining health professional shortage areas based on improved potential model: A case study of Rudong County in Jiangsu Province[J]. Scientia Geographica Sinica, 2010, 30(2):213-219. ] DOI: 10.13249/j.cnki.sgs.2010.02.013
[13]	傅俐, 王勇, 曾彪, 等. 基于改进两步移动搜索法的北碚区医疗设施空间可达性分析[J]. 地球信息科学学报, 2019, 21(10):1565-1575. doi: 10.12082/dqxxkx.2019.190188
	[ Fu L, Wang Y, Zeng B A, et al. Spatial accessibility of medical facilities in Beibei district based on modified two-step floating catchment area method[J]. Journal of Geo-Information Science, 2019, 21(10):1565-1575. ] DOI: 10.12082/dqxxkx.2019.190188
[14]	钟少颖, 杨鑫, 陈锐. 层级性公共服务设施空间可达性研究——以北京市综合性医疗设施为例[J]. 地理研究, 2016, 35(4):731-744. doi: 10.11821/dlyj201604011
	[ Zhong S Y, Yang X, Chen R. The accessibility measurement of hierarchy public service facilities based on multi-mode network dataset and the two-step 2SFCA: A case study of Beijing's medical facilities[J]. Geographical Research, 2016, 35(4):731-744. ] DOI: 10.11821/dlyj201604011
[15]	任家怿, 王云. 基于改进两步移动搜索法的上海市黄浦区公园绿地空间可达性分析[J]. 地理科学进展, 2021, 40(5):774-783. doi: 10.18306/dlkxjz.2021.05.005
	[ Ren J Y, Wang Y. Spatial accessibility of park green space in Huangpu District of Shanghai based on modified two-step floating catchment area method[J]. Progress in Geography, 2021, 40(5):774-783. ] DOI: 10.18306/dlkxjz.2021.05.005
[16]	李孟桐, 杨令宾, 魏冶. 高斯两步移动搜索法的模型研究——以上海市绿地可达性为例[J]. 地理科学进展, 2016, 35(8):990-996. doi: 10.18306/dlkxjz.2016.08.008
	[ Li M T, Yang L B, Wei Y. Improved Gaussian based 2-step floating catchment area method: A case study of green space accessibility in Shanghai[J]. Progress in Geography, 2016, 35(8):990-996. ] DOI: 10.18306/dlkxjz.2016.08.008
[17]	程敏, 连月娇. 基于改进潜能模型的城市医疗设施空间可达性——以上海市杨浦区为例[J]. 地理科学进展, 2018, 37(2):266-275. doi: 10.18306/dlkxjz.2018.02.009
	[ Cheng M, Lian Y J. Spatialaccessibilityofurbanmedicalfacilitiesbasedonimprovedpotentialmodel: A case study of Yangpu District in Shanghai[J]. Progress in Geography, 2018, 37(2):266-275. ] DOI: 10.18306/dlkxjz.2018.02.009
[18]	陈小祥, 岳隽, 张文晖. 基于建筑物尺度的医疗设施可达性研究——以深圳市福田区综合医院为例[J]. 山东建筑大学学报, 2019, 34(1):28-33.
	[ Chen X X, Yue J, Zhang W H. Accessibility evaluation of medical facilities at building scale: A case study of general hospital in Futian district, Shenzhen[J]. Journal of Shandong Jianzhu University, 2019, 34(1):28-33. ] DOI: 10.12077/sdjz.2019.01.005
[19]	尹海伟, 孔繁花, 宗跃光. 城市绿地可达性与公平性评价[J]. 生态学报, 2008, 28(7):3375-3383.
	[ Yin H W, Kong F H, Zong Y G. Accessibility and equity assessment on urban green space[J]. Acta Ecologica Sinica, 2008, 28(7):3375-3383. ] DOI: 10000933(2008)0733750
[20]	Malik N A, Shaikh M A. Spatial distribution and accessibility to public sector tertiary care teaching hospitals: Case study from Pakistan[J]. Eastern Mediterranean Health Journal, 2019, 25(6):431-434. DOI: 10.26719/emhj.18.049 doi: 10.26719/emhj.18.049
[21]	浩飞龙, 张浩然, 王士君. 基于多交通模式的长春市公园绿地空间可达性研究[J]. 地理科学, 2021, 41(4):695-704. doi: 10.13249/j.cnki.sgs.2021.04.016
	[ Hao F L, Zhang H R, Wang S J. Spatial accessibility of urban green space in central area of Changchun: An analysis based on the multi-trip model[J]. Scientia Geographica Sinica, 2021, 41(4):695-704. ] DOI: 10.13249/j.cnki.sgs.2021.04.016
[22]	Wang F H, Xu Y Q. Estimating O-D travel time matrix by Google Maps API: Implementation, advantages, and implications[J]. Annals of GIS, 2011, 17(4):199-209. DOI: 10.1080/19475683.2011.625977 doi: 10.1080/19475683.2011.625977
[23]	郭鹏, 孙艳玲. 基于互联网地图服务和Ga2SFCA的天津市中心城区公园绿地可达性[J]. 天津师范大学学报(自然科学版), 2020, 40(5):63-69.
	[ Guo P, Sun Y L. Accessibility of urban green space in downtown area of Tianjin based on Internet map service and Gaussian 2-step floating catchment area method[J]. Journal of Tianjin Normal University (Natural Science Edition), 2020, 40(5):63-69. ] DOI: 10.19638/j.issn1671-1114.20200509
[24]	郑智成, 张丽君, 秦耀辰, 等. 基于多模式交通网络的开封市公园景点可达性[J]. 地域研究与开发, 2019, 38(4):60-67.
	[ Zheng Z C, Zhang L J, Qin Y C, et al. Accessibility of parks and scenic spots in Kaifeng city based on multi-mode traffic network[J]. Areal Research and Development, 2019, 38(4):60-67. ] DOI: 10.3969/j.issn.1003-2363.2019.04.010
[25]	刘承承, 李少达, 杨容浩, 等. 基于实时路况的成都市医院可达性分析[J]. 地理信息世界, 2019, 26(1):72-76.
	[ Liu C C, Li S D, Yang R H, et al. Accessibility analysis of Chengdu hospital based on real-time road conditions[J]. Geomatics World, 2019, 26(1):72-76. ] DOI: 1672-1586(2019)01-0072-05
[26]	Zheng Z C, Shen W, Li Y, et al. Spatial equity of park green space using KD2SFCA and web map API: A case study of Zhengzhou, China[J]. Applied Geography, 2020, 123:102310. DOI: 10.1016/j.apgeog.2020.102310 doi: 10.1016/j.apgeog.2020.102310
[27]	陈杰, 王结臣. 南京市汽车和公交模式时间可达性差异分析[J]. 测绘工程, 2020, 29(5):33-38.
	[ Chen J E, Wang J C. Measuring modal accessibility disparity between private car and public transport in Nanjing[J]. Engineering of Surveying and Mapping, 2020, 29(5):33-38. ] DOI: 10.19349/j.cnki.issn1006-7949.2020.05.006
[28]	García-Albertos P, Picornell M, Salas-Olmedo M H, et al. Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis[J]. Transportation Research Part A: Policy and Practice, 2019, 125:294-307. DOI: 10.1016/j.tra.2018.02.008 doi: 10.1016/j.tra.2018.02.008
[29]	倪建华. 城市医疗服务设施布局均衡性评价方法与优化研究——以南京市为例[D]. 南京:南京大学, 2017.
	[ Ni J H. Assessment method and optimization of spatial equity of urban health service facility: Taking Nanjing as an example[D]. Nanjing: Nanjing University, 2017. ]
[30]	朱玉娇, 姚晓婧, 陈伟, 等. 基于多源数据的福州市中心城区人居环境质量评价[J]. 应用生态学报, 2020, 31(8):2721-2730.
	[ Zhu Y J, Yao X J, Chen W, et al. Evaluation of the quality of human settlement in downtown Fuzhou based on multi-source data[J]. Chinese Journal of Applied Ecology, 2020, 31(8):2721-2730. ] DOI: 10.13287/j.1001-9332.202008.016
[31]	Haklay M, Weber P. OpenStreetMap: User-generated street maps[J]. IEEE Pervasive Computing, 2008, 7(4):12-18. DOI: 10.1109/MPRV.2008.80
[32]	国家统计局. 中国统计年鉴2020[M]. 福州: 中国统计出版社, 2020.
	[ National Bureau of Statistics. China statistical yearbook 2020[M]. Fuzhou: China Statistical Press, 2020. ]
[33]	刘承承. 基于改进2SFCA算法的医疗设施可达性分析与布局优化[D]. 成都:成都理工大学, 2019.
	[ Liu C C. Medical facility accessibility analysis based on improved 2SFCA algorithm and layout optimization[D]. Chengdu: Chengdu University of Technology, 2019. ]

hid	jid	spendtime_T/s	spenddis_T/m	spendtime_C/s	spenddis_C/m
0	0	4245	15 694	2369	13 884
0	1	4695	12 048	1419	12 518
0	2	5412	15 322	1682	12 196
0	3	5139	14 473	1374	12 115
0	4	4362	11 847	1575	9394
…	…	…	…	…	…
48	313	2329	4752	888	4703

出行方式	医疗设施等级	最大		平均		最小		标准差
出行方式	医疗设施等级	驾车	公交	驾车	公交	驾车	公交	驾车	公交
时间/min	整体	67	151	27	55	0.18	13	11	19
	二级	56	151	27	56	0.65	13	9	20
	三级	58	126	27	54	0.2	13	10	18
距离/m	整体	27 035	24 634	7342	7839	63	568	3544	3820
	二级	26 362	24 634	7546	8037	174	568	3633	3915
	三级	20 627	24 374	7377	7953	63	754	3494	3869

时间/min	驾车		公交
时间/min	面积/%	人口/%	面积/%	人口/%
10	70.85	78.17	9.97	14.06
20	96.62	98.70	28.02	37.87
30	100.00	100.00	61.83	69.33
40	100.00	100.00	91.12	90.93
50	100.00	100.00	97.56	97.38
60	100.00	100.00	98.82	99.19