“时—空—人”交互视角下的国土空间公共安全规划体系构建

doi:10.31497/zrzyxb.20210906

自然资源学报 ›› 2021, Vol. 36 ›› Issue (9): 2248-2263.doi: 10.31497/zrzyxb.20210906

• 国土空间安全规划体系构建 • 上一篇下一篇

“时—空—人”交互视角下的国土空间公共安全规划体系构建

周素红¹^,²(), 廖伊彤¹^,², 郑重³^,¹^,⁴()

1.中山大学地理科学与规划学院,广州 510275
2.广东省公共安全与灾害工程技术研究中心,广州 510275
3.北京师范大学国土空间规划与不动产研究中心,珠海 519087
4.广州城市规划勘测设计研究院,广州 510060

收稿日期:2020-08-16 修回日期:2021-05-26 出版日期:2021-09-28 发布日期:2021-11-28
通讯作者: 郑重（1986- ）,男,辽宁绥中人,博士,副研究员,研究方向为行为地理、个体时空行为、交通建模与模拟等。E-mail: z.zheng@bnu.edu.cn
作者简介:周素红（1976- ）,女,广东饶平人,博士,教授,研究方向为城市地理、时空行为、城市公共安全与健康地理、城乡规划与管理、地理信息科学及应用等。E-mail: eeszsh@mail.sysu.edu.cn
基金资助:
广东省重点领域研发计划项目(2020B0202010002);国家自然科学基金项目(41871148);教育部人文社会科学研究青年基金项目(20YJC630232)

The framework of public security spatial planning from the perspective of 'Human-Space-Time' interaction

ZHOU Su-hong¹^,²(), LIAO Yi-tong¹^,², ZHENG Zhong³^,¹^,⁴()

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
2. Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China
3. Center for Territorial Spatial Planning and Real Estate Studies, Beijing Normal University, Zhuhai 519087, Guangdong, China
4. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China

Received:2020-08-16 Revised:2021-05-26 Online:2021-09-28 Published:2021-11-28

摘要/Abstract

摘要：

公共安全事件是特定情境下“时—空—人”多要素交互作用时空过程的结果,国土空间公共安全规划和相应的能力建设是应对公共安全事件长期而重要的抓手。在构建公共安全规划中“时—空—人”互动的研究框架基础上,分别对“预防、预警、应急、灾后”四个阶段的相关研究和工作重点进行审视,并在此基础上构建国土空间公共安全规划的内容、技术方法和保障支撑体系。首先,在内容体系方面,与国土空间规划的全国—省—市—县—镇等多层级规划编制体系和全国一盘棋的应急响应机制相适应,开展综合规划与专项规划编制,重点解决面向应对自然灾害、事故灾难、公共卫生事件、社会安全事件等方面的空间、设施、应急等方面的规划和管理问题;在技术方法体系方面,构建和完善公共安全事件的时空要素识别与分析、时空过程模拟与预警分析等方法和技术支撑体系;在保障支撑体系方面,基于时空大数据的新基建建设,构建和完善时空可达的公共安全设施体系和公共安全导向下的社会治理体系。

关键词: 国土空间, 公共安全规划, “时—空—人”, 规划体系

Abstract:

Public security events are the results of the interaction of 'Human-Space-Time' in a specific context. Public security spatial planning and the corresponding administration system are important approaches to deal with the public security events in the long term. Based on the framework of 'Human-Space-Time' interaction in the public security planning, this paper reviews the relevant research about 'prevention, early warning, emergency dispatching, and post-disaster recovery'. On this basis, the framework of content, technical methods and support system of public security spatial planning is constructed. First, the content system should be consistent to the multi-level spatial planning system and the national emergency response mechanism. It is necessary to implement special planning and comprehensive planning, focusing on the problems of the planning and management of space, facilities and emergence response in terms of natural disasters, accident disasters, public health events and social security events. In terms of the technical method system, it is necessary to build and improve the methodological and technical support system of space-time elements identification and analysis, space-time process simulation and early warning of public security events. Last, for the support system, it is necessary to improve the space-time accessibility of the public security facilities system and strengthen the public security oriented social governance, based on the new infrastructure construction such as the space-time big data management system.

Key words: territory space, public security planning, 'Human-Space-Time', planning framework

周素红, 廖伊彤, 郑重. “时—空—人”交互视角下的国土空间公共安全规划体系构建[J]. 自然资源学报, 2021, 36(9): 2248-2263.

ZHOU Su-hong, LIAO Yi-tong, ZHENG Zhong. The framework of public security spatial planning from the perspective of 'Human-Space-Time' interaction[J]. JOURNAL OF NATURAL RESOURCES, 2021, 36(9): 2248-2263.

图/表 4

图1

图2

图3

表1

国土空间公共安全规划编制核心内容

		公共安全事件
		自然灾害事件	事故灾难事件	公共卫生事件	社会安全事件
综合防灾战略	现状研判与风险评估	综合分析现状并评估规划区域需要处理的重点事件类型及风险等级
	现状研判与风险评估	自然灾害事件的风险评估,应急避难场所与资源的安全评估	事故灾难事件安全隐患识别与风险评估,救援物资可达性评估	流行性传染病发生概率与时空传播风险评估,疫情防控资源评估	社会安全事件发生概率与风险评估,社会安全事件应急响应资源评估,民众安全感评估
	规划目标确定	确认规划目标并进行任务职责的拆解落实
硬性物质设施规划	空间设施规划	建立“刚性+弹性”平灾结合的设施体系
	空间设施规划	应对主要自然灾害事件避难场所与疏散通道规划,各类救援场所与设施的布局规划等	优化潜在事故灾难风险设施和场所的空间布局,应急救援通道规划,应急救援物资布局规划等	医疗急救设施布局规划;卫生防疫、医疗急救资源配置规划等	派出所、主要安保设施布局规划;治安环境整治、反恐防爆检测设施配置等
	规划设计导则与标准	防洪、抗震、防风等工程设计标准; 避难场所与疏散通道的等级、规模与抗灾强度等	主要事故灾难危险源的空间设计与防控指引; 应急救援中心选址要求和建设标准等	防疫中心的选址要求和建设标准,医疗急救绿色通道规划设计指引,减少流行病传播的环境设计导则等	治安导向下建筑、街道社区、城镇的环境设计导则,安保资源规划设计导则等
软性综合管理规划	部门行动计划	组织架构设计,风险管理全周期下的部门协作方案和工作计划制定
	部门行动计划	地震局、气象局市政部门、消防部门、公安部门、医疗卫生部门等部门行动计划	交通局、市政部门、消防部门、公安部门、医疗卫生部门等部门行动计划	医疗卫生部门、防疫部门、食品安全部门等部门行动计划	公安部门、反恐部门等部门行动计划
	社会防灾系统	安全演习组织计划、社会求援制度设计、志愿者制度设计等、国土空间一张图下的决策支持平台设计等
规划周期性评估		每隔一定周期的规划监督、评估与编制更新

表1

参考文献 69

[1]	国务院. 国家突发公共事件总体应急预案. 中国中医基础医学杂志, 2006, (1):77-79.
	[ The State Council. National overall emergency preplan for public emergencies. Journal of Basic Chinese Medicine, 2006, (1):77-79.]
[2]	FRANCINI M, ARTESE S, GAUDIO S, et al. To support urban emergency planning: A GIS instrument for the choice of optimal routes based on seismic hazards. International Journal of Disaster Risk Reduction, 2018, 31:121-134. doi: 10.1016/j.ijdrr.2018.04.020
[3]	阮梦乔, 翟国方. 日本地域防灾规划的实践及对我国的启示. 国际城市规划, 2011, 26(4):16-21.
	[ RUAN M Q, ZHAI G F. Japanese regional disaster prevention planning and implications to China. Urban Planning International, 2011, 26(4):16-21.]
[4]	庞宇. 美日澳应急管理体系现状及特点. 科技管理研究, 2012, 32(21):38-41.
	[ PANG Y. Review on status of emergency management system among America, Japan and Australia. Science and Technology Management Research, 2012, 32(21):38-41.]
[5]	赫磊, 戴慎志, 宋彦. 城市综合防灾规划编制与评估的美国经验及对我国的启示. 城市规划学刊, 2011, (5):87-94.
	[ HE L, DAI S Z, SONG Y. A research on multi-hazard mitigation planning in China with a reference to U. S. experience. Urban Planning Forum, 2011, (5):87-94.]
[6]	IKEDA S, SATO T, FUKUZONO T. Towards an integrated management framework for emerging disaster risks in Japan. Natural Hazards, 2008, 44(2):267-280. doi: 10.1007/s11069-007-9124-3
[7]	ADAM N, ELEDATH J, MEHROTRA S, et al. Social media alert and response to threats to citizens (SMART-C). In: IEEE. 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom). Pittsburgh: IEEE, 2012: 181-189.
[8]	冯浩, 戴慎志, 宋彦. 美国城市综合防灾规划编制经验研究. 城市规划, 2018, 42(4):100-106.
	[ FENG H, DAI S Z, SONG Y. Research on the plan-making experience of American urban multi-hazard mitigation. City Planning Review, 2018, 42(4):100-106.]
[9]	姚国章. 典型国家突发公共事件应急管理体系及其借鉴. 南京审计学院学报, 2006, 3(2):5-10.
	[ YAO G Z. Contingency management system of typical national contingent public accidents and its lessons. Journal of Nanjing Audit University, 2006, 3(2):5-10.]
[10]	张翰卿, 戴慎志. 美国的城市综合防灾规划及其启示. 国际城市规划, 2007, (4):58-64.
	[ ZHANG H Q, DAI S Z. Urban comprehensive disaster prevention plan in America and its enlightenment. Urban Planning International, 2007, (4):58-64.]
[11]	张翰卿, 戴慎志. 城市安全规划研究综述. 城市规划学刊, 2005, (2):38-44.
	[ ZHANG H Q, DAI S Z. Literature review of safety research in urban planning. Urban Planning Forum, 2005, (2):38-44.]
[12]	顾林生, 张丛, 马帅. 中国城市公共安全规划编制研究. 现代城市研究, 2009, 24(5):14-19.
	[ GU L S, ZHANG C, MA S. The making research of urban public security planning in China. Modern Urban Research, 2009, 24(5):14-19.]
[13]	张海波, 童星. 中国应急管理结构变化及其理论概化. 中国社会科学, 2015, (3):58-84.
	[ ZHANG H B, TONG X. Structural change in China's emergency management: Theoretical generalizations. Social Sciences in China, 2015, (3):58-84.]
[14]	钟开斌. “一案三制”: 中国应急管理体系建设的基本框架. 南京社会科学, 2009, (11):77-83.
	[ ZHONG K B. One case and three systems: The basic framework of the emergency management system in China. Nanjing Journal of Social Sciences, 2009, (11):77-83.]
[15]	翟国方. 城市公共安全规划. 北京: 中国建筑工业出版社, 2016: 17-50.
	[ ZHAI G F. Urban Public Safety Planning. Beijing: China Architecture and Building Press, 2016: 17-50.]
[16]	沈莉芳, 陈乃志. 城市公共安全规划研究: 以成都市中心城公共安全规划为例. 规划师, 2006, 22(11):27-30.
	[ SHEN L F, CHEN N Z. Study on the urban public safety planning: Take the urban public safety planning for the central zone of Chengdu for example. Planners, 2006, 22(11):27-30.]
[17]	高小平. 中国特色应急管理体系建设的成就和发展. 中国行政管理, 2008, (11):18-24.
	[ GAO X P. The achievements and development of emergency management system with China characteristics. Chinese Public Administration, 2008, (11):18-24.]
[18]	范峻恺, 徐建刚. 基于神经网络综合建模的区域城市群发展脆弱性评价: 以滇中城市群为例. 自然资源学报, 2020, 35(12):2875-2887.
	[ FAN J K, XU J G. Vulnerability assessment of urban agglomeration based on neural network model: A case study of Central Yunnan Urban Agglomeration. Journal of Natural Resources, 2020, 35(12):2875-2887.]
[19]	FREIRE S, AUBRECHT C. Integrating population dynamics into mapping human exposure to seismic hazard. Natural Hazards and Earth System Science, 2012, 12(11):3533-3543. doi: 10.5194/nhess-12-3533-2012
[20]	梁亚婷, 温家洪, 杜士强, 等. 人口的时空分布模拟及其在灾害与风险管理中的应用. 灾害学, 2015, 30(4):220-228.
	[ LIANG Y T, WEN J H, DU S Q, et al. Spatial-temporal distribution modeling of population and its applications in disaster and risk management. Journal of Catastrophology, 2015, 30(4):220-228.]
[21]	韦惠兰, 王光耀. 土地沙化区农民特征与其感知的环境灾害风险的关系分析: 基于环境公平视角. 自然资源学报, 2017, 32(7):1134-1144.
	[ WEI H L, WANG G Y. Analysis of correlation between the characteristics of farmers and their perceived risk of environmental disasters in desertification area: From the perspective of environmental justice. Journal of Natural Resources, 2017, 32(7):1134-1144.]
[22]	郑有飞, 余永江, 谈建国, 等. 气象参数对人体舒适度的影响研究. 气象科技, 2007, 35(6):827-831.
	[ ZHENG Y F, YU Y J, TAN J G, et al. Influence of meteorological parameters on human comfort index. Meteorological Science and Technology, 2007, 35(6):827-831.]
[23]	龙冬平, 柳林, 周素红, 等. 地理学视角下犯罪者行为研究进展. 地理科学进展, 2017, 36(7):886-902. doi: 10.18306/dlkxjz.2017.07.010
	[ LONG D P, LIU L, ZHOU S H, et al. Research progress of criminal behavior from the perspective of Geography. Progress in Geography, 2017, 36(7):886-902.]
[24]	YOO H H, SON S R. Suitability assessment for flood disaster shelters of Jinju city. Journal of Korean Society for Geospatial Information System, 2012, 20(3):91-99.
[25]	高军波, 韩勇, 王义民, 等. 基于个体行为的城市居民就医空间及规划思考: 以广州中心城区为例. 城市规划, 2017, 41(10):46-52.
	[ GAO J B, HAN Y, WANG Y M, et al. Reflections on space of medical service for urban residents and its planning based on individual behavior: A case study of central district of Guangzhou. City Planning Review, 2017, 41(10):46-52.]
[26]	SAKAKI T, OKAZAKI M, MATSUO Y. Earthquake shakes Twitter users: Real-time event detection by social sensors. In: Association for Computing Machinery. Proceedings of the 19th International Conference on World Wide Web. New York: Association for Computing Machinery, 2010: 851-860.
[27]	THOM D, BOSCH H, KOCH S, et al. Spatiotemporal anomaly detection through visual analysis of geolocated Twitter messages. In: IEEE. 2012 IEEE Pacific Visualization Symposium. Songdo: IEEE, 2012: 41-48.
[28]	BAGROW J P, WANG D, BARABA SI A S. Collective response of human populations to large-scale emergencies. PLoS ONE, 2011, 6(3):e17680, Doi: 10.1371/journal.pone.0017680. doi: 10.1371/journal.pone.0017680
[29]	MOUMNI B, FRIAS-MARTINEZ E, FRIAS-MARTINEZ V. Characterizing social response to urban earthquakes using cell-phone network data: The 2012 Oaxaca earthquake. In: Association for Computing Machinery. Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication. New York: Association for Computing Machinery, 2013: 1199-1208.
[30]	ST LOUIS C, ZORLU G. Can Twitter predict disease outbreaks?. BMJ (Online), 2012, 344:e2353, Doi: 10.1136/bmj.e2353. doi: 10.1136/bmj.e2353
[31]	POLGREEN P M, CHEN Y L, PENNOCK D M, et al. Using internet searches for influenza surveillance. Clinical Infectious Diseases, 2008, 47(11):1443-1448. doi: 10.1086/596019
[32]	GINSBERG J, MOHEBBI M H, PATEL R S, et al. Detecting influenza epidemics using search engine query data. Nature, 2009, 457(7232):1012-1014. doi: 10.1038/nature07634
[33]	ALTHOUSE B M, NG Y Y, CUMMINGS D A T. Prediction of Dengue incidence using search query surveillance. PLoS Neglected Tropical Diseases, 2011, 5(8):e1258, Doi: 10.1371/journal.pntd.0001258. doi: 10.1371/journal.pntd.0001258
[34]	SZOMSZOR M, KOSTKOVA P, De QUINCEY E. Swineflu: Twitter predicts Swine flu outbreak in 2009. In: SZOMSZOR M, KOSTKOVA P. Electronic Healthcare. eHealth 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Heidelberg: Springer, 2011: 18-26.
[35]	BEAUCHAMP G A, MCKEOWN N J, RODRIGUEZ S, et al. Relating calls to US poison centers for potential exposures to medications to centers for disease control and prevention reporting of influenza-like illness. Clinical Toxicology, 2016, 54(3):235-240. doi: 10.3109/15563650.2015.1135336
[36]	李印东, 王全意, 李玉堂, 等. 学校因病缺课监测预警阈值的研究. 首都公共卫生, 2008, 2(3):112-115.
	[ LI Y D, WANG Q Y, LI Y T, et al. Threshold value of early warning for infectious disease by school absenteeism surveillance in Shunyi district, Beijing. Capital Journal of Public Health, 2008, 2(3):112-115.]
[37]	COHEN L E, FELSON M. Social change and crime rate trends: A routine activity approach. American Sociological Review, 1979, 44(4):588-608. doi: 10.2307/2094589
[38]	GRIFFITHS G, JOHNSON S D, CHETTY K. UK-based terrorists' antecedent behavior: A spatial and temporal analysis. Applied Geography, 2017, 86:274-282. doi: 10.1016/j.apgeog.2017.06.007
[39]	FENG J X, LIU L, LONG D P, et al. An examination of spatial differences between migrant and native offenders in committing violent crimes in a large Chinese city. ISPRS International Journal of Geo-Information, 2019, 8(3):119.
[40]	LONG D P, LIU L, FENG J X, et al. Assessing the influence of prior on subsequent street robbery location choices: A case study in ZG city, China. Sustainability, 2018, 10(6):1818. doi: 10.3390/su10061818
[41]	TRAUNMUELLER M, QUATTRONE G, CAPRA L. Mining mobile phone data to investigate urban crime theories at scale. In: AIELLO L M, MCFARLAND D. Social Informatics. SocInfo 2014. Lecture Notes in Computer Science. Cham: Springer, 2014: 396-411.
[42]	WILLIAMS M L, BURNAP P, SLOAN L. Crime sensing with big data: The affordances and limitations of using open-source communications to estimate crime patterns. British Journal of Criminology, 2017, 57(2):320-340.
[43]	LEE J Y, KIM K D, KIM K. A study on improving the location of CCTV cameras for crime prevention through an analysis of population movement patterns using mobile big data. KSCE Journal of Civil Engineering, 2019, 23(1):376-387. doi: 10.1007/s12205-018-1486-4
[44]	袁宏永, 付成伟, 疏学明, 等. 论事件链、预案链在应急管理中的角色与应用. 中国应急管理, 2008, (1):28-31.
	[ YUAN H Y, FU C W, SHU X M, et al. The role and application of disaster chian and response chain in emergency management. China Emergency Management, 2008, (1):28-31.]
[45]	AUTELITANO A, PERNICI B, SCALIA G. Spatio-temporal mining of keywords for social media cross-social crawling of emergency events. GeoInformatica, 2019, 23(3):425-447. doi: 10.1007/s10707-019-00354-1
[46]	BENGTSSON L, LU X, THORSON A, et al. Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti. PLoS Medicine, 2011, 8(8):e1001083, Doi: 10.1371/journal.pmed.10010830. doi: 10.1371/journal.pmed.10010830
[47]	LU X, BENGTSSON L, HOLME P. Predictability of population displacement after the 2010 Haiti earthquake. PNAS, 2012, 109(29):11576-11581. doi: 10.1073/pnas.1203882109
[48]	YUSUKE H. Behaviour analysis using Tweet data and Geo-tag data in a natural disaster. Transportation Research Procedia, 2015, 11:399-412. doi: 10.1016/j.trpro.2015.12.033
[49]	WESOLOWSKI A, EAGLE N, TATEM A J, et al. Quantifying the Impact of human mobility on Malaria. Science, 2012, 338(6104):267-270. doi: 10.1126/science.1223467
[50]	辛妍. Bio Diaspora: 基于大数据的疫情扩散预测. 新经济导刊, 2014, (11):44-49.
	[ XIN Y. Bio Diaspora: Epidemic spread prediction based on big data. New Economy Weekly, 2014, (11):44-49.]
[51]	FRIAS-MARTINEZ E, WILLIAMSON G, FR IAS-MART INEZ V. An agent-based model of epidemic spread using human mobility and social network information. In: IEEE. 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing. Boston, MA: IEEE, 2011: 57-64.
[52]	EUBANK S, GUCLU H, KUMAR V S A, et al. Modelling disease outbreaks in realistic urban social networks. Nature, 2004, 429(6988):180-184. doi: 10.1038/nature02541
[53]	YU H, HU C J. A police big data analytics platform: Framework and implications. In: IEEE. 2016 IEEE First International Conference on Data Science in Cyberspace (DSC). Changsha: IEEE, 2016: 323-328.
[54]	VERMA A, RAMYAA R, MARRU S, et al. Rationalizing police patrol beats using Voronoi Tessellations. In: IEEE. 2010 IEEE International Conference on Intelligence and Security Informatics. Vancouver, BC: IEEE, 2010: 165-167.
[55]	MUKHOPADHYAY A, ZHANG C, VOROBEYCHIK Y, et al. Optimal allocation of police patrol resources using a continuous-time crime model. In: ZHU Q Y, ALPCAN T, PANAOUSIS E, et al. Decision and Game Theory for Security. GameSec 2016. Lecture Notes in Computer Science. Cham: Springer, 2016: 139-158.
[56]	李华燊, 陈蓓蓓, 刘军伟. 汶川地震后重建评估现状分析. 兰州大学学报: 社会科学版, 2012, 40(1):126-131.
	[ LI H S, CHEN B B, LIU J W. Assessment of the reconstruction work after the Wenchuan earthquake. Journal of Lanzhou University: Social Sciences, 2012, 40(1):126-131.]
[57]	吴文菁, 汤剑雄, 丁晟平, 等. 基于大数据平台的城市灾害社会恢复力指标初探: 以“莫兰蒂”台风为例. 城市建筑, 2018, (35):35-37.
	[ WU W J, TANG J X, DING S P, et al. A tentative study of social resilience indicators for urban disaster based on big data platform: A case study of typhoon Meranti. Urbanism and Architecture, 2018, (35):35-37.]
[58]	吴吉东, 李宁, 周扬, 等. 灾害恢复度量框架: Katrina飓风灾后恢复应用案例. 自然灾害学报, 2013, 22(4):58-64.
	[ WU J D, LI N, ZHOU Y, et al. Disaster recovery measurement framework: An application case of disaster recovery after hurricane Katrina. Journal of Natural Disasters, 2013, 22(4):58-64.]
[59]	周素红, 陈菲, 戴颖宜. 面向内涵式发展的品质空间规划体系构建. 城市规划, 2019, 43(10):13-21.
	[ ZHOU S H, CHEN F, DAI Y Y. Study on the construction of high quality spatial planning system from the perspective of connotative development. City Planning Review, 2019, 43(10):13-21.]
[60]	王芳, 储君, 张琪敏, 等. 跨部门政府数据共享: 问题、原因与对策. 图书与情报, 2017, (5):54-62.
	[ WANG F, CHU J, ZHANG Q M, et al. Cross-boundary sharing of government data: Problems, reasons and suggestions. Library & Information, 2017, (5):54-62.]
[61]	陈涛, 阮杨志, 孙雪萍, 等. 城市运行与应急管理技术架构与应用模式研究. 中国安全生产科学技术, 2019, 15(4):5-11.
	[ CHEN T, RUAN Y Z, SUN X P, et al. Research on key technologies of integration of urban operation and emergency management. Journal of Safety Science and Technology, 2019, 15(4):5-11.]
[62]	李重照, 黄璜. 中国地方政府数据共享的影响因素研究. 中国行政管理, 2019, (8):47-54.
	[ LI C Z, HUANG H. A study on influencing factors of local government data sharing in China. Chinese Public Administration, 2019, (8):47-54.]
[63]	沙勇忠, 陆莉. 公共安全数据管理: 新领域与新方向. 图书与情报, 2019, (4):1-12.
	[ SHA Y Z, LU L. Public safety data management: New field and direction. Library & Information, 2019, (4):1-12.]
[64]	刘纪平, 刘猛猛, 徐胜华, 等. 大数据时代下的一体化综合减灾技术综述. 武汉大学学报: 信息科学版, 2020, 45(8):1107-1116.
	[ LIU J P, LIU M M, XU S H, et al. A survey on integrated and comprehensive disaster reduction technology in the era of big data. Geomatics and Information Science of Wuhan University, 2020, 45(8):1107-1116.]
[65]	YIN L, CHEN J, ZHANG H, et al. Improving emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science, 2020, 47(6):964-980. doi: 10.1177/2399808319874805
[66]	周利敏, 童星. 灾害响应2.0: 大数据时代的灾害治理: 基于“阳江经验”的个案研究. 中国软科学, 2019, (10):1-13.
	[ ZHOU L M, TONG X. Disaster response 2.0: Disaster governance in the big data age: A case study of practice of Yangjiang. China Soft Science, 2019, (10):1-13.]
[67]	林鸿潮, 孔梁成. 论我国紧急状态法制的重构: 从反思《突发事件应对法》切入. 上海大学学报: 社会科学版, 2020, 37(5):130-140.
	[ LIN H C, KONG L C. On reformulating China's legal system of Emergency State-revisiting Emergency Response Law. Journal of Shanghai University: Social Sciences Edition, 2020, 37(5):130-140.]
[68]	李德仁. 新基建时代地理信息产业的机遇与挑战. 中国工业和信息化, 2020, (12):52-57.
	[ LI D R. Opportunities and challenges of geographical information industry in "new infrastructure" era. China Industry & Information Technology, 2020, (12):52-57.]
[69]	刘乃梁. 公共危机的社会共治: 制度逻辑与法治进路. 江西财经大学学报, 2020, (6):114-124.
	[ LIU N L. Social co-governance in public crisis: System logic and legal path. Journal of Jiangxi University of Finance and Economics, 2020, (6):114-124.]

“时—空—人”交互视角下的国土空间公共安全规划体系构建

The framework of public security spatial planning from the perspective of 'Human-Space-Time' interaction

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 69

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	杨永春, 张薇, 曹宛鹏, 穆焱杰. 国家安全视角下的我国西部国土空间规划:体系完善与基本导向[J]. 自然资源学报, 2021, 36(9): 2264-2280.
[2]	吕悦风, 项铭涛, 王梦婧, 吴次芳. 从安全防灾到韧性建设——国土空间治理背景下韧性规划的探索与展望[J]. 自然资源学报, 2021, 36(9): 2281-2293.
[3]	李思楠, 赵筱青, 普军伟, 王茜, 苗培培, 谭琨. 西南喀斯特典型区国土空间功能质量评价及耦合协调分析——以广南县为例[J]. 自然资源学报, 2021, 36(9): 2350-2367.
[4]	詹美旭, 魏宗财, 王建军, 周小天, 彭丹丽. 面向国土空间安全的城市体检评估方法及治理策略——以广州为例[J]. 自然资源学报, 2021, 36(9): 2382-2393.
[5]	赵垚, 叶强, 谭春华, 胡赞英, 向辉. 新时期国土空间安全背景下的空间规划系统思考[J]. 自然资源学报, 2021, 36(9): 2394-2404.
[6]	黄颖, 许旺土, 黄凯迪. 面向国土空间应急安全保障的控制性详细规划指标体系构建——以应对突发公共卫生事件为例[J]. 自然资源学报, 2021, 36(9): 2405-2423.
[7]	姜海, 陈磊. 县域国土空间主体功能区土地资源空间配置效率及管制策略——以江苏赣榆为例[J]. 自然资源学报, 2021, 36(9): 2424-2436.
[8]	郝庆, 彭建, 魏冶, 王丰龙, 姚华松, 李禕, 王伟, 张书海, 邓玲, 赵雲泰, 马学广, 戈大专, 戴俊骋, 朱鹤, 张茂鑫. “国土空间”内涵辨析与国土空间规划编制建议[J]. 自然资源学报, 2021, 36(9): 2219-2247.
[9]	焦胜, 刘奕村, 韩宗伟, 周可婧, 胡亮, 刘铁雄. 基于生态网络—人类干扰的国土空间生态修复优先区诊断——以长株潭城市群为例[J]. 自然资源学报, 2021, 36(9): 2294-2307.
[10]	杨培峰, 焦泽飞. 生态—社会经济系统耦合方法在县域国土空间生态修复规划中的运用——以四川威远县为例[J]. 自然资源学报, 2021, 36(9): 2308-2319.
[11]	沈体雁, 温璐歌. 基于SCGE的国土空间规划模拟框架CTSPM及其在国土空间安全模拟仿真中的应用[J]. 自然资源学报, 2021, 36(9): 2320-2334.
[12]	许乙青, 喻丁一, 冉静. 基于流域协同的国土空间雨洪安全格局构建方法[J]. 自然资源学报, 2021, 36(9): 2335-2349.
[13]	林樱子, 彭翀, 王宝强. 基于传播模拟的国土开发空间网络结构韧性优化[J]. 自然资源学报, 2021, 36(9): 2193-2204.
[14]	郑鑫, 王甫园, 王开泳. 游憩导向下国土空间生态修复的理论与模式[J]. 自然资源学报, 2021, 36(8): 1923-1936.
[15]	陈磊, 姜海. 县域主体功能区治理方案设计与监管体系[J]. 自然资源学报, 2021, 36(8): 1988-2005.