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En el instante 25 de junio de 2026, 12:33:28 UTC,
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Modificado el valor del campo
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a2026-06-25
en Wildlife crossing structures. An effective strategy to restore or maintain wildlife connectivity across roads. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Wildlife crossing structures. An effective strategy to restore or maintain wildlife connectivity across roads.
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| 5 | "author": "Smith, D.J., van der Ree, R. y Rosell, C.", | 5 | "author": "Smith, D.J., van der Ree, R. y Rosell, C.", | ||
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| 77 | "name": "92ab6df5-439c-5403-b3d4-08a273572a2a", | 91 | "name": "92ab6df5-439c-5403-b3d4-08a273572a2a", | ||
| 78 | "notes": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | 92 | "notes": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | ||
| 79 | the major risk factors for the safety of drivers, as well as a great | 93 | the major risk factors for the safety of drivers, as well as a great | ||
| 80 | danger to wildlife that moves through the territory. In recent | 94 | danger to wildlife that moves through the territory. In recent | ||
| 81 | decades, given the growth of these accidents, some researches emerged | 95 | decades, given the growth of these accidents, some researches emerged | ||
| 82 | to understand what are the main causes of this phenomenon and find the | 96 | to understand what are the main causes of this phenomenon and find the | ||
| 83 | best solutions for implementation and try to solve this problem. Aims: | 97 | best solutions for implementation and try to solve this problem. Aims: | ||
| 84 | The aim of the present study was to analyse the road and traffic | 98 | The aim of the present study was to analyse the road and traffic | ||
| 85 | characteristics of road segments with a high occurrence of WVC in | 99 | characteristics of road segments with a high occurrence of WVC in | ||
| 86 | north-western Spain, specifically, the collisions with wild ungulates | 100 | north-western Spain, specifically, the collisions with wild ungulates | ||
| 87 | (roe deer and wild boar). Methods: A nearest-neighbour analysis was | 101 | (roe deer and wild boar). Methods: A nearest-neighbour analysis was | ||
| 88 | used to analyse the spatial distribution of the WVC spots, and so as | 102 | used to analyse the spatial distribution of the WVC spots, and so as | ||
| 89 | to identify these hotspots of accidents, we performed a hotspot | 103 | to identify these hotspots of accidents, we performed a hotspot | ||
| 90 | analysis using the routine nearest-neighbour hierarchical cluster. | 104 | analysis using the routine nearest-neighbour hierarchical cluster. | ||
| 91 | Then, we calculated the WVC density of each road segment (KP). The | 105 | Then, we calculated the WVC density of each road segment (KP). The | ||
| 92 | existence of differences in the values of variables between high and | 106 | existence of differences in the values of variables between high and | ||
| 93 | low accident densities was analysed using a Mann\u2013Whitney U-test | 107 | low accident densities was analysed using a Mann\u2013Whitney U-test | ||
| 94 | for the continuous variables, and a \u03c72-test for the categorical | 108 | for the continuous variables, and a \u03c72-test for the categorical | ||
| 95 | ones. Then, multiple logistic regression analysis was used to identify | 109 | ones. Then, multiple logistic regression analysis was used to identify | ||
| 96 | which variables could predict the existence of KPs with a high density | 110 | which variables could predict the existence of KPs with a high density | ||
| 97 | of WVC. Key results: Our results showed that the daily traffic volume, | 111 | of WVC. Key results: Our results showed that the daily traffic volume, | ||
| 98 | the width of the road, the number of lanes and speed limit affect | 112 | the width of the road, the number of lanes and speed limit affect | ||
| 99 | whether a particular road marker has a high or low density of WVC. | 113 | whether a particular road marker has a high or low density of WVC. | ||
| 100 | Conclusions: We conclude that high WVC is frequently characterised by | 114 | Conclusions: We conclude that high WVC is frequently characterised by | ||
| 101 | wider lanes and shoulders, as well as gentler slopes, whereas in the | 115 | wider lanes and shoulders, as well as gentler slopes, whereas in the | ||
| 102 | sections with narrower roads and a shorter curvature radius, there are | 116 | sections with narrower roads and a shorter curvature radius, there are | ||
| 103 | some conditions (low visibility and speed reduction) that reduce the | 117 | some conditions (low visibility and speed reduction) that reduce the | ||
| 104 | probability of having an accident with ungulates. However, the speed | 118 | probability of having an accident with ungulates. However, the speed | ||
| 105 | at which it is possible to drive on a given road section is closely | 119 | at which it is possible to drive on a given road section is closely | ||
| 106 | related to the occurrence of WVC. Implications: These findings | 120 | related to the occurrence of WVC. Implications: These findings | ||
| 107 | emphasise the importance of including mitigation measures in the | 121 | emphasise the importance of including mitigation measures in the | ||
| 108 | decision-making when planning and designing infrastructure.", | 122 | decision-making when planning and designing infrastructure.", | ||
| 109 | "notes_translated": { | 123 | "notes_translated": { | ||
| 110 | "en": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | 124 | "en": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | ||
| 111 | the major risk factors for the safety of drivers, as well as a great | 125 | the major risk factors for the safety of drivers, as well as a great | ||
| 112 | danger to wildlife that moves through the territory. In recent | 126 | danger to wildlife that moves through the territory. In recent | ||
| 113 | decades, given the growth of these accidents, some researches emerged | 127 | decades, given the growth of these accidents, some researches emerged | ||
| 114 | to understand what are the main causes of this phenomenon and find the | 128 | to understand what are the main causes of this phenomenon and find the | ||
| 115 | best solutions for implementation and try to solve this | 129 | best solutions for implementation and try to solve this | ||
| 116 | problem.\n\nAims: The aim of the present study was to analyse the road | 130 | problem.\n\nAims: The aim of the present study was to analyse the road | ||
| 117 | and traffic characteristics of road segments with a high occurrence of | 131 | and traffic characteristics of road segments with a high occurrence of | ||
| 118 | WVC in north-western Spain, specifically, the collisions with wild | 132 | WVC in north-western Spain, specifically, the collisions with wild | ||
| 119 | ungulates (roe deer and wild boar).\n\nMethods: A nearest-neighbour | 133 | ungulates (roe deer and wild boar).\n\nMethods: A nearest-neighbour | ||
| 120 | analysis was used to analyse the spatial distribution of the WVC | 134 | analysis was used to analyse the spatial distribution of the WVC | ||
| 121 | spots, and so as to identify these hotspots of accidents, we performed | 135 | spots, and so as to identify these hotspots of accidents, we performed | ||
| 122 | a hotspot analysis using the routine nearest-neighbour hierarchical | 136 | a hotspot analysis using the routine nearest-neighbour hierarchical | ||
| 123 | cluster. Then, we calculated the WVC density of each road segment | 137 | cluster. Then, we calculated the WVC density of each road segment | ||
| 124 | (KP). The existence of differences in the values of variables between | 138 | (KP). The existence of differences in the values of variables between | ||
| 125 | high and low accident densities was analysed using a Mann\u2013Whitney | 139 | high and low accident densities was analysed using a Mann\u2013Whitney | ||
| 126 | U-test for the continuous variables, and a \u03c72-test for the | 140 | U-test for the continuous variables, and a \u03c72-test for the | ||
| 127 | categorical ones. Then, multiple logistic regression analysis was used | 141 | categorical ones. Then, multiple logistic regression analysis was used | ||
| 128 | to identify which variables could predict the existence of KPs with a | 142 | to identify which variables could predict the existence of KPs with a | ||
| 129 | high density of WVC.\n\nKey results: Our results showed that the daily | 143 | high density of WVC.\n\nKey results: Our results showed that the daily | ||
| 130 | traffic volume, the width of the road, the number of lanes and speed | 144 | traffic volume, the width of the road, the number of lanes and speed | ||
| 131 | limit affect whether a particular road marker has a high or low | 145 | limit affect whether a particular road marker has a high or low | ||
| 132 | density of WVC.\n\nConclusions: We conclude that high WVC is | 146 | density of WVC.\n\nConclusions: We conclude that high WVC is | ||
| 133 | frequently characterised by wider lanes and shoulders, as well as | 147 | frequently characterised by wider lanes and shoulders, as well as | ||
| 134 | gentler slopes, whereas in the sections with narrower roads and a | 148 | gentler slopes, whereas in the sections with narrower roads and a | ||
| 135 | shorter curvature radius, there are some conditions (low visibility | 149 | shorter curvature radius, there are some conditions (low visibility | ||
| 136 | and speed reduction) that reduce the probability of having an accident | 150 | and speed reduction) that reduce the probability of having an accident | ||
| 137 | with ungulates. However, the speed at which it is possible to drive on | 151 | with ungulates. However, the speed at which it is possible to drive on | ||
| 138 | a given road section is closely related to the occurrence of | 152 | a given road section is closely related to the occurrence of | ||
| 139 | WVC.\n\nImplications: These findings emphasise the importance of | 153 | WVC.\n\nImplications: These findings emphasise the importance of | ||
| 140 | including mitigation measures in the decision-making when planning and | 154 | including mitigation measures in the decision-making when planning and | ||
| 141 | designing infrastructure.", | 155 | designing infrastructure.", | ||
| 142 | "es": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | 156 | "es": "Context: Wildlife\u2013vehicle collisions (WVC) are one of | ||
| 143 | the major risk factors for the safety of drivers, as well as a great | 157 | the major risk factors for the safety of drivers, as well as a great | ||
| 144 | danger to wildlife that moves through the territory. In recent | 158 | danger to wildlife that moves through the territory. In recent | ||
| 145 | decades, given the growth of these accidents, some researches emerged | 159 | decades, given the growth of these accidents, some researches emerged | ||
| 146 | to understand what are the main causes of this phenomenon and find the | 160 | to understand what are the main causes of this phenomenon and find the | ||
| 147 | best solutions for implementation and try to solve this problem. Aims: | 161 | best solutions for implementation and try to solve this problem. Aims: | ||
| 148 | The aim of the present study was to analyse the road and traffic | 162 | The aim of the present study was to analyse the road and traffic | ||
| 149 | characteristics of road segments with a high occurrence of WVC in | 163 | characteristics of road segments with a high occurrence of WVC in | ||
| 150 | north-western Spain, specifically, the collisions with wild ungulates | 164 | north-western Spain, specifically, the collisions with wild ungulates | ||
| 151 | (roe deer and wild boar). Methods: A nearest-neighbour analysis was | 165 | (roe deer and wild boar). Methods: A nearest-neighbour analysis was | ||
| 152 | used to analyse the spatial distribution of the WVC spots, and so as | 166 | used to analyse the spatial distribution of the WVC spots, and so as | ||
| 153 | to identify these hotspots of accidents, we performed a hotspot | 167 | to identify these hotspots of accidents, we performed a hotspot | ||
| 154 | analysis using the routine nearest-neighbour hierarchical cluster. | 168 | analysis using the routine nearest-neighbour hierarchical cluster. | ||
| 155 | Then, we calculated the WVC density of each road segment (KP). The | 169 | Then, we calculated the WVC density of each road segment (KP). The | ||
| 156 | existence of differences in the values of variables between high and | 170 | existence of differences in the values of variables between high and | ||
| 157 | low accident densities was analysed using a Mann\u2013Whitney U-test | 171 | low accident densities was analysed using a Mann\u2013Whitney U-test | ||
| 158 | for the continuous variables, and a \u03c72-test for the categorical | 172 | for the continuous variables, and a \u03c72-test for the categorical | ||
| 159 | ones. Then, multiple logistic regression analysis was used to identify | 173 | ones. Then, multiple logistic regression analysis was used to identify | ||
| 160 | which variables could predict the existence of KPs with a high density | 174 | which variables could predict the existence of KPs with a high density | ||
| 161 | of WVC. Key results: Our results showed that the daily traffic volume, | 175 | of WVC. Key results: Our results showed that the daily traffic volume, | ||
| 162 | the width of the road, the number of lanes and speed limit affect | 176 | the width of the road, the number of lanes and speed limit affect | ||
| 163 | whether a particular road marker has a high or low density of WVC. | 177 | whether a particular road marker has a high or low density of WVC. | ||
| 164 | Conclusions: We conclude that high WVC is frequently characterised by | 178 | Conclusions: We conclude that high WVC is frequently characterised by | ||
| 165 | wider lanes and shoulders, as well as gentler slopes, whereas in the | 179 | wider lanes and shoulders, as well as gentler slopes, whereas in the | ||
| 166 | sections with narrower roads and a shorter curvature radius, there are | 180 | sections with narrower roads and a shorter curvature radius, there are | ||
| 167 | some conditions (low visibility and speed reduction) that reduce the | 181 | some conditions (low visibility and speed reduction) that reduce the | ||
| 168 | probability of having an accident with ungulates. However, the speed | 182 | probability of having an accident with ungulates. However, the speed | ||
| 169 | at which it is possible to drive on a given road section is closely | 183 | at which it is possible to drive on a given road section is closely | ||
| 170 | related to the occurrence of WVC. Implications: These findings | 184 | related to the occurrence of WVC. Implications: These findings | ||
| 171 | emphasise the importance of including mitigation measures in the | 185 | emphasise the importance of including mitigation measures in the | ||
| 172 | decision-making when planning and designing infrastructure." | 186 | decision-making when planning and designing infrastructure." | ||
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