{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T14:47:54Z","timestamp":1780498074027,"version":"3.54.1"},"reference-count":30,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T00:00:00Z","timestamp":1600992000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51778127"],"award-info":[{"award-number":["51778127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Rapid economic and social development has been accompanied by the occurrence of many major issues throughout the world. Specifically, there is an ever-increasing demand for emergent medical services among the public. In order to ensure timely responses to emergency demands, it is critical to reasonably configure the emergency stations. In general, emergency stations are mostly distributed according to the distribution of emergency demands and response time, which, however, fails to consider the negative impacts of randomly occurring emergency demands and traffic delays. In this study, first aid demands are combined with traffic states based on the spatiotemporal big data set covering model, which alleviates the negative impacts of randomly occurring first aid demands and traffic delay time on the planning of pre-hospital first aid stations. Moreover, the accuracy of the site selection model is improved, which meets the requirements that all randomly occurring simulated first aid demands can be approached within the target time under planning conditions and actual traffic constraints. Taking Nanjing City as an example, this study obtains multi-source big data, such as ambulance-carried GPS data from June 2018 to June 2019, Gaode Map-recorded traffic congestion data, and survey data of emergency rescue facilities. Basing on the processing and analysis of these data, it shows that first aid demands in Nanjing City are highly region-specific with high time delay. Various required factors are determined based on modeling and analysis, and the target time is agreed to be 8 min. The average vehicle speed on each road is calculated, accompanied by the establishment of an actual road network model. In this context, the transit time from the randomly distributed first aid stations to the hospital can be calculated, which are set to satisfy the model conditions so as to obtain the solution. Finally, such a solution is adjusted and verified according to the land-use situation. The results of this study, based on spatiotemporal big data, are expected to provide insights into improving the site selection model and enhancing efficiency while providing new technical methods.<\/jats:p>","DOI":"10.3390\/ijgi9100559","type":"journal-article","created":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T22:24:42Z","timestamp":1601245482000},"page":"559","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Site Selection for Pre-Hospital Emergency Stations Based on the Actual Spatiotemporal Demand: A Case Study of Nanjing City, China"],"prefix":"10.3390","volume":"9","author":[{"given":"Bing","family":"Han","sequence":"first","affiliation":[{"name":"School of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxing","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialing","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Architecture, Si Pailou Campus of Southeast University, Nanjing 210096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,25]]},"reference":[{"key":"ref_1","first-page":"673","article-title":"Research on the layout of urban emergency medical service network","volume":"10","author":"Yang","year":"1994","journal-title":"Chin. J. Hosp. Manag."},{"key":"ref_2","first-page":"47","article-title":"Medical and health system reform and urban medical and health facilities planning","volume":"30","author":"Lin","year":"2006","journal-title":"Urban Plan."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/S0305-0483(96)00058-8","article-title":"A simple search heuristic for the MCLP: Application to the location of ambulance bases in a rural region","volume":"25","year":"1997","journal-title":"Omega"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1287\/opre.19.6.1363","article-title":"The Location of Emergency Service Facilities","volume":"19","author":"Toregas","year":"1971","journal-title":"Oper. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1111\/j.1435-5597.1974.tb00902.x","article-title":"The maximal covering location problem","volume":"32","author":"Church","year":"1974","journal-title":"Pap. Reg. Sci. Assoc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s101090200084","article-title":"Assessing representation error in point-based coverage modeling","volume":"4","author":"Murray","year":"2002","journal-title":"J. Geogr. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1136\/emj.2003.007757","article-title":"Prehospital care in Indonesia","volume":"22","author":"Pitt","year":"2005","journal-title":"Emerg. Med. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1007\/s10729-014-9271-5","article-title":"Time-dependent ambulance allocation considering data-driven empirically required coverage","volume":"18","author":"Degel","year":"2015","journal-title":"Health Care Manag. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1109\/JBHI.2015.2443799","article-title":"Demand Forecast Using Data Analytics for the Preallocation of Ambulances","volume":"20","author":"Chen","year":"2016","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_10","first-page":"20","article-title":"Spatial clustering mining method for site selection problem of emergency response center","volume":"11","author":"Fan","year":"2008","journal-title":"J. Manag. Sci."},{"key":"ref_11","first-page":"69","article-title":"Planning method and empirical study of emergency site","volume":"9","author":"Zhou","year":"2016","journal-title":"China Health Policy Res."},{"key":"ref_12","first-page":"130","article-title":"Nonuniform and relatively stable pre-hospital first-aid model based on spatial big data","volume":"044","author":"Dou","year":"2018","journal-title":"Comput. Technol. Appl."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.ejor.2008.02.027","article-title":"A probabilistic model applied to emergency service vehicle location","volume":"196","author":"Beraldi","year":"2009","journal-title":"Eur. J. Oper. Res."},{"key":"ref_14","first-page":"110","article-title":"Ambulance location planning considering the spatial randomness of demand","volume":"27","author":"Su","year":"2019","journal-title":"Chin. J. Manag. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"14490","DOI":"10.3390\/ijerph121114490","article-title":"An enhanced variable two-step floating catchment area method for measuring spatial accessibility to residential care facilities in Nanjing","volume":"12","author":"Ni","year":"2015","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/1476-072X-13-33","article-title":"Spatial optimization of residential care facility locations in Beijing, China: Maximum equity in accessibility","volume":"13","author":"Tao","year":"2014","journal-title":"Int. J. Health Geogr."},{"key":"ref_17","first-page":"431","article-title":"Impact of traffic congestion on time-space accessibility of emergency medical services\u2014Take Guangzhou as an example","volume":"35","author":"Chen","year":"2016","journal-title":"Prog. Geogr. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.healthplace.2019.01.012","article-title":"Measuring spatio-temporal accessibility to emergency medical services through big GPS data","volume":"56","author":"Xia","year":"2019","journal-title":"Health Place"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.habitatint.2015.12.023","article-title":"Spatial difference analysis for accessibility to high level hospitals based on travel time in Shenzhen, China","volume":"53","author":"Cheng","year":"2016","journal-title":"Habitat Int."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1080\/19475683.2011.625977","article-title":"Estimating O-D travel time matrix by Google Maps API: Implementation, advantages, and implications","volume":"17","author":"Wang","year":"2011","journal-title":"Ann. GIS"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1186\/1476-072X-9-17","article-title":"Optimization of preventive health care facility locations","volume":"9","author":"Gu","year":"2010","journal-title":"Int. J. Health Geogr."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Tao, Z., Yao, Z., Kong, H., Duan, F., and Li, G. (2018). Spatial accessibility to healthcare services in Shenzhen, China: Improving the multi-modal two-step floating catchment area method by estimating travel time via online map APIs. BMC Health Serv. Res., 18.","DOI":"10.1186\/s12913-018-3132-8"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1177\/0160017609340149","article-title":"Enhancing classic coverage location models","volume":"33","author":"Murray","year":"2010","journal-title":"Int. Reg. Sci. Rev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/0377-2217(89)90272-5","article-title":"Review, extension and prediction in emergency service siting models","volume":"40","author":"ReVelle","year":"1989","journal-title":"Eur. J. Oper. Res."},{"key":"ref_25","first-page":"30","article-title":"An international comparison of pre-hospital emergency mode and job training of emergency personnel","volume":"16","author":"Liu","year":"2013","journal-title":"Chin. Health Resour."},{"key":"ref_26","first-page":"23","article-title":"Review and prospect of the development of national and international Emergency Medical Service System","volume":"4","author":"Zhang","year":"2004","journal-title":"J. Nurs. Adm."},{"key":"ref_27","unstructured":"General Office of the State Council (2003). Notice of The General Office of the State Council on Forwarding the Construction Plan of Medical Treatment System for Public Health Emergencies of the Ministry of Health (Development and Reform Commission No.82 [2003])."},{"key":"ref_28","first-page":"79","article-title":"Investigation report of European emergency service system","volume":"10","author":"Chen","year":"2006","journal-title":"Chin. Hosp."},{"key":"ref_29","first-page":"53","article-title":"Progress of American emergency medical service","volume":"7","author":"Sun","year":"1987","journal-title":"Chin. Hosp. Manag."},{"key":"ref_30","unstructured":"Legislative Council of the Hong Kong (2000). Legislative Council of the Hong Kong Special Administration Region of the People\u2019s Republic of China, LC Paper No. CB(2)114\/00-01."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/10\/559\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:13:47Z","timestamp":1760177627000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/10\/559"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,25]]},"references-count":30,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,10]]}},"alternative-id":["ijgi9100559"],"URL":"https:\/\/doi.org\/10.3390\/ijgi9100559","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,25]]}}}