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Interurban road accidents with casualties in Spain (2016-2021)
<p>CSV that contains 1.000 records of interurban road accidents with casualties in Spain between 2016 and 2021. If you are interested in the whole country dataset, please do not hesitate to contact me and I will forward it to you. </p> <p>Data source of each record is the Spanish General Directorate of Traffic (DGT) and each row describes an accident by the following fields:</p> <p>• <strong>secuencial </strong>(int): the unique identifier for an occurrence record in DGT.<br> • <strong>anyo</strong> (int): the four-digit year of the event date.<br> • <strong>mes </strong>(int): the month as integer of the event date (encoded).<br> • <strong>nombre_mes </strong>(str): the month name of the event date (decoded).<br> • <strong>dia_semana </strong>(int): the integer day of the week when the accident occurred (encoded).<br> • <strong>nombre_dia_semana </strong>(str): the name of the day when the accident occurred (decoded).<br> • <strong>hora </strong>(int): the reported hour of the collision in 24-hour notation.<br> • <strong>cod_provincia </strong>(int): the province code from INE where the accident is registered (encoded).<br> • <strong>nombre_provincia </strong>(str): the province name where the accident is registered (decoded).<br> • <strong>cod_municipio </strong>(int): the municipality code from INE where the accident is registered (encoded).<br> • <strong>nombre_codigo_municipio </strong>(str): the municipality name where the accident is registered (decoded).<br> • <strong>isla </strong>(str): an integer value to identify a Spanish island if the accident occurred out of the peninsula (encoded).<br> • <strong>nombre_isla </strong>(str): the island name if applicable to the accident (decoded).<br> • <strong>zona </strong>(int): an integer value to identify type of road (encoded).<br> • <strong>nombre_zona </strong>(str): the name of the road type (decoded).<br> • <strong>zona_agrupada </strong>(int): an integer value to group the road types in urban or interurban (encoded).<br> • <strong>nombre_zona_agrupada </strong>(str): the group name of the road types (decoded).<br> • <strong>carretera</strong> (str): the road attending to the national road numbering system in Spain where the accident is located.<br> • <strong>km </strong>(int): the kilometre point of the road where the accident is located.<br> • <strong>sentido_1f </strong>(int): the vehicle’s direction of traffic reported as integer when the accident occurred (encoded).<br> • <strong>nombre_sentido </strong>(str): the vehicle’s direction of traffic reported when the accident occurred (decoded).<br> • <strong>titularidad_via </strong>(int): the road ownership type as integer (encoded).<br> • <strong>nombre_titularidad_via </strong>(str): the road ownership type description (decoded).<br> • <strong>tipo_via </strong>(int): the type of road as integer attending to the project road classification (encoded).<br> • <strong>nombre_tipo_via </strong>(str): the type of road description attending to the project road classification (decoded).<br> • <strong>tipo_accidente </strong>(int): an integer value to identify the collision type and traffic context (encoded).<br> • nombre_tipo_accidente (str): the description of the collision type and traffic context (decoded).<br> • <strong>total_mu24h </strong>(int): the total number of fatalities registered in the accident, computed to 24 hours.<br> • <strong>total_hg24h </strong>(int): the total number of hospitalised casualties recorded in the accident, counted over 30 days.<br> • <strong>total_hl24h </strong>(int): the total number of non-hospitalised casualties recorded in the accident, computed to 24 hours.<br> • <strong>total_victimas_24h </strong>(int): the total number of casualties (fatalities + hospitalised injured + non-hospitalised injured) recorded in the accident, computed over 24 hours.<br> • <strong>total_mu30df </strong>(int): the total number of fatalities recorded in the accident, computed over 30 days.<br> • <strong>total_hg30df </strong>(int): the total number of hospitalised casualties recorded in the accident, counted over 30 days.<br> • <strong>total_hl30df </strong>(int): the total number of non-hospitalised casualties recorded in the accident, counted over 30 days.<br> • <strong>total_victimas_30df </strong>(int): the total number of casualties (killed + injured in hospital + injured not in hospital) recorded in the accident, counted over 30 days.<br> • <strong>total_vehiculos </strong>(int): the total number of vehicles involved recorded in the accident.<br> • <strong>tot_peat_mu24h </strong>(int): the total number of pedestrian fatalities recorded in the accident, computed over 24 hours.<br> • <strong>tot_bici_mu24h </strong>(int): the total number of cyclists killed recorded in the accident, computed to 24 hours.<br> • <strong>tot_ciclo_mu24h </strong>(int): the total number of scooter riders killed recorded in the accident, computed on a 24-hour basis.<br> • <strong>tot_moto_mu24h </strong>(int): the total number of motorcyclist fatalities recorded in the accident, computed on a 24-hour basis.<br> • <strong>tot_tur_mu24h </strong>(int): the total number of car drivers and passengers killed recorded in the accident, counted to 24 hours.<br> • <strong>tot_furg_mu24h </strong>(int): the total number of van drivers and passengers killed recorded in the accident, counted over 24 hours.<br> • <strong>tot_cam_menos3500_mu24h </strong>(int): the total number of drivers and passengers of trucks ≤ 3,500 kg killed in the accident, counted over 24 hours.<br> • <strong>tot_cam_mas3500_mu24h </strong>(int): the total number of drivers and passengers of trucks > 3,500 kg killed in the accident, counted over 24 hours.<br> • <strong>tot_bus_mu24h </strong>(int): the total number of bus drivers and passengers fatalities recorded in the accident, counted over 24 hours.<br> • <strong>tot_otro_mu24h </strong>(int): the total number of drivers and passengers of vehicles not classified in the above types killed in the accident, counted to 24 hours.<br> • <strong>tot_sinespecif_mu24h </strong>(int): the total number of drivers and passengers of vehicles of unspecified type killed in the accident, counted over 24 hours.<br> • <strong>tot_peat_mu30df </strong>(int): the total number of pedestrian fatalities recorded in the accident, computed to 30 days.<br> • <strong>tot_bici_mu30df </strong>(int): the total number of cyclists killed recorded in the accident, counted over 30 days.<br> • <strong>tot_ciclo_mu30df </strong>(int): the total number of scooted riders killed recorded in the accident, counted over 30 days.<br> • <strong>tot_moto_mu30df </strong>(int): the total number of motorcyclist fatalities recorded in the accident, counted over 30 days.<br> • <strong>tot_tur_mu30df </strong>(int): the total number of drivers and passengers of passenger cars killed in the accident, counted over 30 days. <br> • <strong>tot_furg_mu30df </strong>(int): the total number of van drivers and passengers killed recorded in the accident, counted over 30 days. <br> • <strong>tot_cam_menos3500_mu30df </strong>(int): the total number of drivers and passengers of trucks ≤ 3,500 kg killed in the accident, counted over 30 days.<br> • <strong>tot_cam_mas3500_mu30df </strong>(int): the total number of drivers and passengers of trucks > 3,500 kg killed in the accident, counted over 30 days.<br> • <strong>tot_bus_mu30df </strong>(int): the total number of bus drivers and passengers fatalities recorded in the accident, counted over 30 days.<br> • <strong>tot_otro_mu30df </strong>(int): the total number of drivers and passengers of vehicles of types not classified in the above killed in the accident, counted over 30 days.<br> • <strong>tot_sinespecif_mu30df </strong>(int): the total number of drivers and passengers of unspecified type vehicles killed in the crash, counted over 30 days.<br> • <strong>nudo </strong>(int): an integer to identify whether the collisions occurred in an road junction or not (encoded).<br> • <strong>nombre_nudo </strong>(str): the description to identify whether the collisions occurred in an road junction or not (decoded).<br> • <strong>nudo_info </strong>(int): an integer that represents the type of road junction in which the collision occurred (encoded).<br> • <strong>nombre_nudo_info </strong>(str): the description of the type of road junction in which the collision occurred (decoded).<br> • <strong>carretera_cruce </strong>(str): the road attending to the national road numbering system in Spain where the accident is located.<br> • <strong>priori_norma </strong>(int): an integer to identify if the road junction priority is determined by generic traffic rule (encoded).<br> • <strong>nombre_priori_norma </strong>(str): the text to identify if the road junction priority is determined by generic traffic rule (decoded).<br> • <strong>priori_agente </strong>(int): an integer to identify if the road junction priority is determined by agent (encoded).<br> • <strong>nombre_priori_agente</strong> (str): the text to identify if the road junction priority is determined by agent (decoded).<br> • <strong>priori_semaforo </strong>(int): an integer to identify if the road junction priority is determined by traffic light (encoded).<br> • <strong>nombre_priori_semaforo</strong> (str): the text to identify if the road junction priority is determined by traffic light (decoded).<br> • <strong>priori_vert_stop </strong>(int): an integer to identify if the road junction priority is determined by vertical stop sign (encoded).<br> • <strong>nombre_priori_vert_stop </strong>(str): the text to identify if the road junction priority is determined by vertical stop sign (decoded).<br> • <strong>priori_vert_ceda </strong>(int): an integer to identify if the road junction priority is determined by vertical yield sign (encoded).<br> • <strong>nombre_priori_priori_vert_ceda </strong>(str): the text to identify if the road junction priority is determined by vertical yield sign (decoded).<br> • <strong>priori_horiz_stop </strong>(int): an integer to identify if the road junction priority is determined by horizontal stop signal (encoded).<br> • <strong>nombre_priori_horiz_stop </strong>(str): the text to identify if the road junction priority is determined by horizontal stop signal (decoded).<br> • <strong>priori_horiz_ceda </strong>(int): an integer to identify if the road junction priority is determined by horizontal yield sign (encoded).<br> • <strong>nombre_priori_horiz_ceda </strong>(str): the text to identify if the road junction priority is determined by horizontal yield sign (decoded).<br> • <strong>priori_marcas </strong>(int): an integer to identify if the road junction priority is determined by road markings (encoded).<br> • <strong>nombre_priori_marcas </strong>(str): the text to identify if the road junction priority is determined by road markings (decoded).<br> • <strong>priori_pea_no_elev </strong>(int): an integer to identify if the road junction priority is determined by pedestrian crosswalk (encoded).<br> • <strong>nombre_priori_pea_no_elev </strong>(str): the text to identify if the road junction priority is determined by pedestrian crosswalk (decoded).<br> • <strong>priori_pea_elev </strong>(int): an integer to identify if the road junction priority is determined by raised pedestrian crossing (encoded).<br> • <strong>nombre_priori_pea_elev </strong>(str): the text to identify if the road junction priority is determined by raised pedestrian crossing (decoded).<br> • <strong>priori_marca_ciclos </strong>(int): an integer to identify if the road junction priority is determined by the bicycle crossing road marking (encoded).<br> • <strong>nombre_priori_marca_ciclos </strong>(str): the text to identify if the road junction priority is determined by the bicycle crossing road marking (decoded).<br> • <strong>priori_circunstancial </strong>(int): an integer to identify if the road junction priority is determined by signal used on an circumstantial basis (encoded).<br> • <strong>nombre_priori_circunstancial </strong>(str): the text to identify if the road junction priority is determined by signal used on an circumstantial basis (decoded).<br> • <strong>priori_otra </strong>(int): an integer to identify if the road junction priority is determined by other signalling not considered in the above (encoded).<br> • <strong>nombre_priori_otra </strong>(str): the text to identify if the road junction priority is determined by other signalling not considered in the above (decoded).<br> • <strong>condicion_nivel_circula </strong>(int): an integer to identify the condition of the traffic level at the place and time of the accident attending to DGT classification (encoded).<br> • <strong>nombre_condicion_nivel_circula </strong>(str): the text to identify the condition of the traffic level at the place and time of the accident attending to DGT classification (decoded).<br> • <strong>condicion_firme </strong>(int): an integer to classify the condition of the road surface at the scene of the accident (encoded).<br> • <strong>nombre_condicion_firme </strong>(str): the text to classify the condition of the road surface at the scene of the accident (decoded).<br> • <strong>condicion_iluminacion </strong>(int): an integer to identify the lighting conditions at the place and time of the accident (encoded).<br> • <strong>nombre_condicion_iluminacion </strong>(str): the text to identify the lighting conditions at the place and time of the accident (decoded).<br> • <strong>condicion_meteo </strong>(int): an integer to classify the meteorological conditions at the place and time of the accident (encoded).<br> • <strong>nombre_condicion_meteo </strong>(str): the text to classify the meteorological conditions at the place and time of the accident (decoded).<br> • <strong>condicion_niebla </strong>(int): an integer to identify the meteorological condition with regard to fog at the place and time of the accident (encoded).<br> • <strong>nombre_condicion_niebla </strong>(str): the text to identify the meteorological condition with regard to fog at the place and time of the accident (decoded).<br> • <strong>condicion_viento </strong>(int): an integer to classify the meteorological condition referring to wind at the place and time of the accident (encoded).<br> • <strong>nombre_condicion_viento </strong>(str): the text to classify the meteorological condition referring to wind at the place and time of the accident (decoded).<br> • <strong>visib_restringida_por </strong>(int): an integer to identify the elements affecting visibility at the scene of the accident (encoded).<br> • <strong>nombre_visib_restringida_por </strong>(str): the text to identify the elements affecting visibility at the scene of the accident (decoded).<br> • <strong>acera </strong>(int): an integer to classify the condition of the pavement. Only if the accident involved a pedestrian (encoded).<br> • <strong>nombre_acera </strong>(str): the text to classify the condition of the pavement. Only if the accident involved a pedestrian (decoded).<br> • <strong>trazado_planta </strong>(int): an integer to identify road layout in plan. Only on interurban roads (encoded).<br> • <strong>nombre_trazado_planta </strong>(str): the text to identify road layout in plan. Only on interurban roads (decoded).<br> • <strong>latitud </strong>(float): the latitude of the accident location coordinate in decimal degrees.<br> • <strong>longitud </strong>(float): the length of the accident location coordinate in decimal degrees.<br> • <strong>geom </strong>(geometry): geometry from latitude and longitude position. Developed for this project.</p> <p>The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC).</p> <p>This dataset is the output of the interurban road accidents with casualties analysis and the <a href="https://github.com/alba620/analisis-prediccion-accidentes-trafico-animales">code repository</a> is available on GitHub.</p>
Plate 29 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 29. Dactyloa kunayalae (Huleback, Poe, Ibáñez, and Williams, 2007). This anole is a priority two species with an EVS of 15, restricted in distribution to "central Panama" (Köhler 2008: 100). This individual came from Parque Nacional General de División Omar Torrijos Herrera, in the province of Coclé, Panama. Photo by Abel Batista.
Plate 26 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 26. Oedipina koehleri Sunyer, Townsend, Wake, Travers, Gonzalez, Obando, and Quintana, 2011. This worm salamander is a priority one species with an EVS of 16, restricted to "three highland areas in northern Nicaragua" (Frost 2018). This individual came from Reserva Natural Cerro Musún, in the department of Matagalpa, Nicaragua. Photo by Javier Sunyer.
Plate 25 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 25. Bolitoglossa subpalmata (Boulenger, 1896). This salamander is a priority one species with an EVS of 15, which occurs "on both slopes of the Cordillera de Guanacaste, Cordillera de Tilarán, Cordillera Central, and their outliers in central to northern Costa Rica" (Frost 2018). This individual was encountered in Volcán Barva, Parque Nacional Braulio Carrillo, in the province of, Heredia, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 22 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 22. Bolitoglossa conanti McCranie and Wilson, 1993. Conant's Mushroomtongue Salamander is a priority one species with an EVS of 16, with a distribution "on the Atlantic and Pacific versants in western Honduras and eastern Guatemala" (Townsend and Wilson 2008). This individual came from Aldea San Joaquin, in the department of Copán, Honduras. Photo by Sean Michael Rovito.
Plate 37. Bothriechis lateralis Peters, 1862 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 37. Bothriechis lateralis Peters, 1862. The Coffee Palmviper is a priority one species with an EVS of 16. distributed in "the cordilleras of Costa Rica and western Panama (Savage, 2002: 724). This individual came from La Nevera, Serranía de Tabasará, Panama. Photo by Abel Batista.
Plate 38. Bothriechis nigroviridis Peters, 1859 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 38. Bothriechis nigroviridis Peters, 1859. The Black-speckled Palm-pitviper is a priority one species with an EVS of 17, which ranges along "the cordilleras of Costa Rica and western Panama" (Savage, 2002: 725). This individual was found at Jurutungo, in the province of Chiriquí, Panama. Photo by Javier Sunyer.
Plate 32 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 32. Coleonyx mitratus (Peters, 1863). The Central American Banded Gecko is a priority six species with an EVS of 14, which ranges along the "Atlantic lowlands of northeastern Guatemala and northwestern Honduras [and the] Pacific lowlands from Guatemala to southwestern Costa Rica" (Savage 2002: 482). This individual was located in Sector Santa Rosa, Parque Nacional Santa Rosa, in the province of, Guanacaste, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 19 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 19. Lithobates warszewitschii (Schmidt, 1857). Warszewitsch's Frog is a priority eleven species with an EVS of 10, found on "the Atlantic versant from northeastern Honduras to central Panama, both slopes of the cordilleras of Costa Rica and western Panama, lowlands of southwestern Costa Rica, and eastern Panama and gallery forests in nonpeninsular northwestern Costa Rica" (Savage 2002: 405). This individual came from Nectandra Reserve, in the province of Alajuela, Costa Rica. Photo by Sean Michael Rovito.
Plate 18 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 18. Lithobates taylori (Smith, 1959). The Peralta Frog is a priority eight species with an EVS of 12, distributed "at scattered localities on the humid Atlantic lowlands from eastern Nicaragua to southeastern Costa Rica and in the humid premontane and lower montane areas of upland Costa Rica, including the Meseta Oriental and Meseta Occidental and probably the Cordillera Central" (Savage 2002: 402). This individual was found in a pond at Llano Tugrí, in the Serranía de Tabasará. Photo by Abel Batista.
Plate 28 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 28. Dactyloa insignis (Cope, 1871). The Decorated Anole is a priority four species with an EVS of 14, with a distribution restricted to "the Cordillera Tilarán and Cordillera Central of Costa Rica" (Poe and Ryan 2017: 6). This individual was encountered in Estación Pocosol, Bosque Eterno de los Niños, in the province of Alajuela, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 16 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 16. Agalychnis annae (Duellman, 1963). The Orange-eyed Treefrog is a priority two species with an EVS of 15, with a distribution in the "Northern Cordillera de Talamanca, Cordillera de Tilarán and Cordillera Central of Costa Rica" (Frost 2018). This individual was found in Heredia, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 24 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 24. Bolitoglossa diaphora McCranie and Wilson, 1995. The Cusuco Salamander is a priority one species with an EVS of 18, which ranges on "the Atlantic versant in northwestern Honduras" (Townsend and Wilson 2008). This individual was found in Parque Nacional Cusuco, in the department of Cortés, Honduras. Photo by Sean Michael Rovito.
Plate 13 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 13. Plectrohyla pokomchi Duellman and Campbell, 1984. The Rio Sanaja Spikethumb Frog is a priority eight species with an EVS of 13, which is distributed in "the Sierra de las Minas and the contiguous Sierra de Xucaneb in central and eastern Guatemala" (Frost 2018). This individual came from Purulhá, in the department of Baja Verapaz, Guatemala. Photo by Andres Novales.
Plate 11 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 11. Duellmanohyla rufioculis (Taylor, 1952). This treefrog is a priority one species with an EVS of 14, which ranges on both "the Caribbean and Pacific slopes of the mountains of Costa Rica" (Frost 2018). This individual came from Centro Soltis, San Isidro de Peñas Blancas, in the province of Alajuela, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 27 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 27. Coloptychon rhombifer (Peters, 1876). The Isthmian Alligator Lizard is a priority one species with an EVS of 16, distributed from "southwestern Costa Rica and adjacent western Panama (Savage, 2002: 533). This individual was found in San Juan de Rincón, Península de Osa, in the province of Puntarenas, Costa Rica. Photo by César Barrio-Amorós.
Plate 10 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 10. Diasporus ventrimaculatus Chaves, García-Rodríguez, Mora, and Leal, 2009. This frog is a priority one species "known only from theValle del Silencio on the Caribbean versant of the Cordillera de Talamanca, Limon Province, Costa Rica" (Frost 2018). This individual was observed in Valle del Silencio, Parque Internacional La Amistad, in the province of Limón, Costa Rica. Photo by Víctor Acosta-Chaves.
Plate 12 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 12. Isthmohyla lancasteri (Barbour, 1928). Lancaster's Treefrog is a priority two species with an EVS of 14, which occurs in "the Cordillera de Talamanca of Costa Rica and western Panama" (Frost 2018). This individual was found in Guayacán, in the province of Limón, Costa Rica. Photo by Víctor Acosta-Chaves.
Fig. 2 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Fig. 2. Physiographic regions of Central America, after Campbell (1999). Abbreviations are as follows: CG = western nuclear Central American highlands; CGU = Pacific lowlands from eastern Chiapas to south-central Guatemala; CP = Pacific lowlands from central Costa Rica through Panama (area includes associated Pacific islands); CRP = Isthmian Central American highlands; EP = highlands of eastern Panama; GCR = Pacific lowlands from southeastern Guatemala to northwestern Costa Rica; GH = Caribbean lowlands of eastern Guatemala and northern Honduras (area includes associated Caribbean islands); HN = eastern nuclear Central American highlands; NP = Caribbean lowlands from Nicaragua to Panama (area includes associated Caribbean islands); and YP = Yucatan Platform.
Plate 9 in The endemic herpetofauna of Central America: a casualty of anthropocentrism
Plate 9. Diasporus hylaeformis (Cope, 1876). The Pico Blanco Robber Frog is a priority one species with an EVS of 17, with a distribution in the highlands of the cordilleras of Costa Rica and Panama (Frost 2018). This individual came from Alto del Roble, in the province of Heredia, Costa Rica. Photo by Víctor Acosta-Chaves.
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