FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2770704810> ?p ?o ?g. }

• W2770704810 endingPage "370" @default.
• W2770704810 startingPage "370" @default.
• W2770704810 abstract "The spatial distribution of urban geographical events is largely constrained by the road network, and research on spatial clusters of fire accidents at the city level plays a crucial role in emergency rescue and urban planning. For example, by knowing where and when fire accidents usually occur, fire enforcement can conduct more efficient aid measures and planning department can work out more reasonable layout optimization of fire stations. This article proposed an integrated method by combining weighted network-constrained kernel density estimation (NKDE) and network-constrained local Moran’s I (ILINCS) to detect spatial cluster pattern and identify higher-risk locations of fire accidents. The proposed NKDE-ILINCS weighted a set of crucial non-spatial attributes of point events and links, and considered the impact factors of road traffic states, intersection roads and fire severity in NKDE to reflect real urban environment. This method was tested using the fire data in 2015 in Nanjing, China. The results demonstrated that the method was appropriate to detect network-constrained fire cluster patterns and identify high–high road segments. Besides, the first 14 higher-risk road segments in Nanjing are listed. These findings of this case study enhance our knowledge to more accurately observe where fire accidents usually occur and provide a reference for fire departments to improve emergency rescue effectiveness." @default.
• W2770704810 created "2017-12-04" @default.
• W2770704810 creator A5011742607 @default.
• W2770704810 creator A5025854952 @default.
• W2770704810 creator A5086229500 @default.
• W2770704810 date "2017-11-17" @default.
• W2770704810 modified "2023-09-27" @default.
• W2770704810 title "An Integrated Spatial Clustering Analysis Method for Identifying Urban Fire Risk Locations in a Network-Constrained Environment: A Case Study in Nanjing, China" @default.
• W2770704810 cites W1519327417 @default.
• W2770704810 cites W1700547585 @default.
• W2770704810 cites W1968141501 @default.
• W2770704810 cites W1969005134 @default.
• W2770704810 cites W1982300822 @default.
• W2770704810 cites W1990328866 @default.
• W2770704810 cites W1994080303 @default.
• W2770704810 cites W1994231679 @default.
• W2770704810 cites W2002338877 @default.
• W2770704810 cites W2004737436 @default.
• W2770704810 cites W2008911215 @default.
• W2770704810 cites W2010257382 @default.
• W2770704810 cites W2017755807 @default.
• W2770704810 cites W2018442819 @default.
• W2770704810 cites W2020602155 @default.
• W2770704810 cites W2038769152 @default.
• W2770704810 cites W2040539777 @default.
• W2770704810 cites W2043864789 @default.
• W2770704810 cites W2045423389 @default.
• W2770704810 cites W2053545688 @default.
• W2770704810 cites W2062340241 @default.
• W2770704810 cites W2074424019 @default.
• W2770704810 cites W2078448683 @default.
• W2770704810 cites W2085009188 @default.
• W2770704810 cites W2086260676 @default.
• W2770704810 cites W2088061407 @default.
• W2770704810 cites W2104827669 @default.
• W2770704810 cites W2110834039 @default.
• W2770704810 cites W2118143383 @default.
• W2770704810 cites W2118898434 @default.
• W2770704810 cites W2132389350 @default.
• W2770704810 cites W2148420803 @default.
• W2770704810 cites W2149477888 @default.
• W2770704810 cites W2169528473 @default.
• W2770704810 cites W2202939154 @default.
• W2770704810 cites W25572007 @default.
• W2770704810 doi "https://doi.org/10.3390/ijgi6110370" @default.
• W2770704810 hasPublicationYear "2017" @default.
• W2770704810 type Work @default.
• W2770704810 sameAs 2770704810 @default.
• W2770704810 citedByCount "5" @default.
• W2770704810 countsByYear W27707048102019 @default.
• W2770704810 countsByYear W27707048102020 @default.
• W2770704810 countsByYear W27707048102021 @default.
• W2770704810 crossrefType "journal-article" @default.
• W2770704810 hasAuthorship W2770704810A5011742607 @default.
• W2770704810 hasAuthorship W2770704810A5025854952 @default.
• W2770704810 hasAuthorship W2770704810A5086229500 @default.
• W2770704810 hasBestOaLocation W27707048101 @default.
• W2770704810 hasConcept C105795698 @default.
• W2770704810 hasConcept C127413603 @default.
• W2770704810 hasConcept C154945302 @default.
• W2770704810 hasConcept C185429906 @default.
• W2770704810 hasConcept C205649164 @default.
• W2770704810 hasConcept C22212356 @default.
• W2770704810 hasConcept C33923547 @default.
• W2770704810 hasConcept C41008148 @default.
• W2770704810 hasConcept C58640448 @default.
• W2770704810 hasConcept C64543145 @default.
• W2770704810 hasConcept C71134354 @default.
• W2770704810 hasConcept C73555534 @default.
• W2770704810 hasConceptScore W2770704810C105795698 @default.
• W2770704810 hasConceptScore W2770704810C127413603 @default.
• W2770704810 hasConceptScore W2770704810C154945302 @default.
• W2770704810 hasConceptScore W2770704810C185429906 @default.
• W2770704810 hasConceptScore W2770704810C205649164 @default.
• W2770704810 hasConceptScore W2770704810C22212356 @default.
• W2770704810 hasConceptScore W2770704810C33923547 @default.
• W2770704810 hasConceptScore W2770704810C41008148 @default.
• W2770704810 hasConceptScore W2770704810C58640448 @default.
• W2770704810 hasConceptScore W2770704810C64543145 @default.
• W2770704810 hasConceptScore W2770704810C71134354 @default.
• W2770704810 hasConceptScore W2770704810C73555534 @default.
• W2770704810 hasIssue "11" @default.
• W2770704810 hasLocation W27707048101 @default.
• W2770704810 hasOpenAccess W2770704810 @default.
• W2770704810 hasPrimaryLocation W27707048101 @default.
• W2770704810 hasRelatedWork W1507734157 @default.
• W2770704810 hasRelatedWork W1849651648 @default.
• W2770704810 hasRelatedWork W1999627569 @default.
• W2770704810 hasRelatedWork W2380998760 @default.
• W2770704810 hasRelatedWork W2748952813 @default.
• W2770704810 hasRelatedWork W2899084033 @default.
• W2770704810 hasRelatedWork W2968639261 @default.
• W2770704810 hasRelatedWork W616560051 @default.
• W2770704810 hasRelatedWork W763609066 @default.
• W2770704810 hasRelatedWork W2803041665 @default.
• W2770704810 hasVolume "6" @default.
• W2770704810 isParatext "false" @default.
• W2770704810 isRetracted "false" @default.

• next