2011
DOI: 10.1007/978-3-642-21887-3_11
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Network based Kernel Density Estimation for Cycling Facilities Optimal Location Applied to Ljubljana

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Cited by 5 publications
(4 citation statements)
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“…For this purpose, GIS kernel density, geo-statistical and proximity analysis, and land-use regression models can be used. Network constrained KDE has been applied in a variety of disciplines, including traffic incidents and cycling infrastructure planning [43,[69][70][71].…”
Section: Potential Development Of Infrastructure For E-ptvsmentioning
confidence: 99%
“…For this purpose, GIS kernel density, geo-statistical and proximity analysis, and land-use regression models can be used. Network constrained KDE has been applied in a variety of disciplines, including traffic incidents and cycling infrastructure planning [43,[69][70][71].…”
Section: Potential Development Of Infrastructure For E-ptvsmentioning
confidence: 99%
“…This limitation led to the development of the second common method, Network-Constrained Kernel Density Estimation (NCKDE). Lachance-Bernard et al (2011) explains that with NCKDE the influence of each crash is spread along the road network rather than in all directions. Thus, instead of a 2D hot-spot map, a NCKDE analysis produces a road map highlighting 'hot segments'.…”
Section: Extended Abstractmentioning
confidence: 99%
“…Nowadays, VGI initiatives can challenge traditional data suppliers and will grow in the near future [2]. GPS tracking projects [3] and mapping projects as Wikimapia and OSM are more widely used in research and planning. As stated by Craglia et al [2]: "Social networking, Web 2.0, and VGI offer also enormous opportunities to develop spatial data infrastructures (SDIs) for scientific and policysupport purposes which are yet to be exploited."…”
Section: Volunteered Geographic Informationmentioning
confidence: 99%
“…Thus, NetKDE uses distances measured along a network rather than Euclidean distances. It has been used to study economic activities spatial distribution in Barcelona [10] and bicycle usage behaviors in Ljubljana [3]. Other similar analyses of density in network constrained environment have been developed [11,12,13].…”
Section: Volunteered Geographic Informationmentioning
confidence: 99%