Tessa Kate Anderson
Biographic Data
| ID | 10834179 |
|---|---|
| NAME | Tessa Kate Anderson |
| GIVEN NAMES | Tessa Kate |
| FAMILY NAME | Anderson |
| SIGNATURE | ANDERSON T K |
| AFFILIATIONS | University of Canterbury |
| ORCID | 0000-0002-1993-9865 |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Malmo
Using Geodemographics to Measure and Explain Social and Environment Differences in Road Traffic Accident Risk
Geodemographic systems currently provide classifications of small areas based primarily on their demographic and socioeconomic characteristics. This paper presents an innovative use of geodemographic methods in the public sector, in particular to determine people's road injury risk. It uses Stats19 road accident data from the London Metropolitan Police, specifically postcode information relating to the driver and casualty of each road accident fr…
Kernel density estimation and K-means clustering to profile road accident hotspots
Comparison of spatial methods for measuring road accident ‘hotspots’
There is a continuing determination by academics and road professionals alike to investigate the most appropriate methods for identifying road accident hotspots particularly in urban areas. Increasingly this research has involved the use of GIS and spatial analysis in order to define both visually and statistically what can be defined as a road accident hotspot. Traditional methods of hotspot detection by road professionals have included comparin…
Malmo
Using Geodemographics to Measure and Explain Social and Environment Differences in Road Traffic Accident Risk
Geodemographic systems currently provide classifications of small areas based primarily on their demographic and socioeconomic characteristics. This paper presents an innovative use of geodemographic methods in the public sector, in particular to determine people's road injury risk. It uses Stats19 road accident data from the London Metropolitan Police, specifically postcode information relating to the driver and casualty of each road accident fr…
Comparison of spatial methods for measuring road accident ‘hotspots’
There is a continuing determination by academics and road professionals alike to investigate the most appropriate methods for identifying road accident hotspots particularly in urban areas. Increasingly this research has involved the use of GIS and spatial analysis in order to define both visually and statistically what can be defined as a road accident hotspot. Traditional methods of hotspot detection by road professionals have included comparin…
Kernel density estimation and K-means clustering to profile road accident hotspots
Using Geodemographics to Measure and Explain Social and Environment Differences in Road Traffic Accident Risk
Geodemographic systems currently provide classifications of small areas based primarily on their demographic and socioeconomic characteristics. This paper presents an innovative use of geodemographic methods in the public sector, in particular to determine people's road injury risk. It uses Stats19 road accident data from the London Metropolitan Police, specifically postcode information relating to the driver and casualty of each road accident fr…
Malmo
Cartography (3 works) · Engineering (3 works) · Geography (3 works) · Road accident (3 works) · Traffic and Road Safety (3 works) · Transport engineering (3 works) · Urban Transport and Accessibility (3 works) · Computer Science (2 works) · Kernel density estimation (2 works) · Mathematics (2 works)