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Conference Paper: An event-based hot zone method for the identification of hazardous road locations
| Title | An event-based hot zone method for the identification of hazardous road locations |
|---|---|
| Authors | |
| Keywords | Traffic Crash Event-based Hot zone K-function |
| Issue Date | 2012 |
| Publisher | Association of American Geographers (AAG). |
| Citation | The 2012 Annual Meeting of the Association of American Geographers (AAG), New York, NY., 24-28 February 2012. How to Cite? |
| Abstract | Hot zone methodology is promising in the identification of hazardous road locations. While recent research efforts have been paid to the link-attribute approaches, few studies have been dedicated to event-based tools. This research introduces an event-based hot zone method on the basis of local K-function. The key steps involve dissolving link-node road network, segmenting road network into basic spatial units (BSUs) with equal interval, deriving the center points of BSUs as reference points (RPs), calculating local K-function crash value for each RP, extracting hot RPs (HRPs), and exam... |
| Description | Session - Spatial Optimization and Analysis II |
| Persistent Identifier | http://hdl.handle.net/10722/146491 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yao, S | en_US |
| dc.contributor.author | Loo, BPY | en_US |
| dc.date.accessioned | 2012-04-24T08:05:09Z | - |
| dc.date.available | 2012-04-24T08:05:09Z | - |
| dc.date.issued | 2012 | en_US |
| dc.identifier.citation | The 2012 Annual Meeting of the Association of American Geographers (AAG), New York, NY., 24-28 February 2012. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/146491 | - |
| dc.description | Session - Spatial Optimization and Analysis II | - |
| dc.description.abstract | Hot zone methodology is promising in the identification of hazardous road locations. While recent research efforts have been paid to the link-attribute approaches, few studies have been dedicated to event-based tools. This research introduces an event-based hot zone method on the basis of local K-function. The key steps involve dissolving link-node road network, segmenting road network into basic spatial units (BSUs) with equal interval, deriving the center points of BSUs as reference points (RPs), calculating local K-function crash value for each RP, extracting hot RPs (HRPs), and exam... | - |
| dc.language | eng | en_US |
| dc.publisher | Association of American Geographers (AAG). | - |
| dc.relation.ispartof | Annual Meeting of the Association of American Geographers, AAG 2012 | en_US |
| dc.subject | Traffic | - |
| dc.subject | Crash | - |
| dc.subject | Event-based | - |
| dc.subject | Hot zone | - |
| dc.subject | K-function | - |
| dc.title | An event-based hot zone method for the identification of hazardous road locations | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Loo, BPY: bpyloo@hku.hk | en_US |
| dc.identifier.authority | Loo, BPY=rp00608 | en_US |
| dc.description.nature | link_to_OA_fulltext | - |
| dc.identifier.hkuros | 199185 | en_US |
| dc.publisher.place | United States | - |