FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2105963591> ?p ?o ?g. }

• W2105963591 endingPage "1048" @default.
• W2105963591 startingPage "1044" @default.
• W2105963591 abstract "This thesis is about animal transports and their effect on animal welfare. Transports are needed in today’s system of livestock farming. Long transports are stressful for animals and infectious diseases can spread via animal transports. With optimization methods transport times can be minimized, but there is a trade-off between short distances for the animals and short distances for the trucks. The risk of disease spread in the transport system and disease occurrence at farms can be studied with models and network analysis. The animal transport data and the quality of the data in the Swedish national database of cattle and pig transports are investigated in the thesis. The data is analyzed regarding number of transports, number of farms, seasonality, geographical properties, transport distances, network measures of individual farms and network measures of the system. The data can be used as input parameters in epidemic models. Cattle purchase reports are double reported and we found that there are incorrect and missing reports in the database. The quality is improving over the years i.e. 5% of cattle purchase reports were not correctly double reported in 2006, 3% in 2007 and 1% in 2008. In the reports of births and deaths of cattle we detected date preferences; more cattle births and deaths are reported on the 1st, 10th and 20th each month. This is because when we humans don’t remember the exact number we tend to pick nice numbers (like 1, 10 and 20). This implies that the correct date is not always reported. Network analysis and network measures are suggested as tools to estimate risk for disease spread in transport systems and risk of disease introduction to individual holdings. Network generation algorithms can be used together with epidemic models to test the ability of network measures to predict disease risks. I have developed, and improved, a network generation algorithm that generates a large variety of structures. In my thesis I also suggest a method, the good choice heuristic, for generating non-optimal routes. Today coordination of animal transports is neither optimal nor random. In epidemic simulations we need to model routes as close to the actual driven routes as possible and the good choice heuristic can model that. The heuristic is tuned by two parameters and creates coordination of routes from completely random to almost as good as the Clarke and Wright heuristic. I also used the method to make the rough estimate that transport distances for cattle can be reduced by 2-24% with route-coordination optimization of transports-to-slaughter. Different optimization methods can be used to minimize the transport times for animal-transports in Sweden. For transports-to-slaughter the strategic planning of “which animals to send where” is the first step to optimize. I investigated data from 2008 and found that with strategic planning, given the slaughterhouse capacity, transport distances can be decreased by about 25% for pigs and 40% for cattle. The slaughterhouse capacity and placement are limiting the possibility to minimize transport times for the animals. The transport distances could be decreased by 60% if all animals were sent to the closest slaughterhouse 2008. Small-scale and mobile slaughterhouses have small effect on total transport work (total transport distance for all the animals) but are important for the transport distances of the animals that travel the longest." @default.
• W2105963591 created "2016-06-24" @default.
• W2105963591 creator A5045079621 @default.
• W2105963591 creator A5052410239 @default.
• W2105963591 creator A5055425199 @default.
• W2105963591 creator A5076015485 @default.
• W2105963591 creator A5081116559 @default.
• W2105963591 date "2007-01-01" @default.
• W2105963591 modified "2023-09-27" @default.
• W2105963591 title "Route planning reduces the costs of animal transportation: animal welfare versus economics." @default.
• W2105963591 cites W1503349928 @default.
• W2105963591 cites W1714434492 @default.
• W2105963591 cites W2153845344 @default.
• W2105963591 cites W58702245 @default.
• W2105963591 hasPublicationYear "2007" @default.
• W2105963591 type Work @default.
• W2105963591 sameAs 2105963591 @default.
• W2105963591 citedByCount "0" @default.
• W2105963591 crossrefType "journal-article" @default.
• W2105963591 hasAuthorship W2105963591A5045079621 @default.
• W2105963591 hasAuthorship W2105963591A5052410239 @default.
• W2105963591 hasAuthorship W2105963591A5055425199 @default.
• W2105963591 hasAuthorship W2105963591A5076015485 @default.
• W2105963591 hasAuthorship W2105963591A5081116559 @default.
• W2105963591 hasConcept C100243477 @default.
• W2105963591 hasConcept C111472728 @default.
• W2105963591 hasConcept C112964050 @default.
• W2105963591 hasConcept C118518473 @default.
• W2105963591 hasConcept C138885662 @default.
• W2105963591 hasConcept C144133560 @default.
• W2105963591 hasConcept C162324750 @default.
• W2105963591 hasConcept C166957645 @default.
• W2105963591 hasConcept C18903297 @default.
• W2105963591 hasConcept C205649164 @default.
• W2105963591 hasConcept C2779530757 @default.
• W2105963591 hasConcept C34447519 @default.
• W2105963591 hasConcept C37621935 @default.
• W2105963591 hasConcept C523966790 @default.
• W2105963591 hasConcept C86803240 @default.
• W2105963591 hasConcept C97137747 @default.
• W2105963591 hasConceptScore W2105963591C100243477 @default.
• W2105963591 hasConceptScore W2105963591C111472728 @default.
• W2105963591 hasConceptScore W2105963591C112964050 @default.
• W2105963591 hasConceptScore W2105963591C118518473 @default.
• W2105963591 hasConceptScore W2105963591C138885662 @default.
• W2105963591 hasConceptScore W2105963591C144133560 @default.
• W2105963591 hasConceptScore W2105963591C162324750 @default.
• W2105963591 hasConceptScore W2105963591C166957645 @default.
• W2105963591 hasConceptScore W2105963591C18903297 @default.
• W2105963591 hasConceptScore W2105963591C205649164 @default.
• W2105963591 hasConceptScore W2105963591C2779530757 @default.
• W2105963591 hasConceptScore W2105963591C34447519 @default.
• W2105963591 hasConceptScore W2105963591C37621935 @default.
• W2105963591 hasConceptScore W2105963591C523966790 @default.
• W2105963591 hasConceptScore W2105963591C86803240 @default.
• W2105963591 hasConceptScore W2105963591C97137747 @default.
• W2105963591 hasLocation W21059635911 @default.
• W2105963591 hasOpenAccess W2105963591 @default.
• W2105963591 hasPrimaryLocation W21059635911 @default.
• W2105963591 hasRelatedWork W1494499342 @default.
• W2105963591 hasRelatedWork W1506513458 @default.
• W2105963591 hasRelatedWork W1516951772 @default.
• W2105963591 hasRelatedWork W1533848830 @default.
• W2105963591 hasRelatedWork W1542910961 @default.
• W2105963591 hasRelatedWork W1560589528 @default.
• W2105963591 hasRelatedWork W2072879125 @default.
• W2105963591 hasRelatedWork W2126850506 @default.
• W2105963591 hasRelatedWork W2132649640 @default.
• W2105963591 hasRelatedWork W2169553516 @default.
• W2105963591 hasRelatedWork W2510988603 @default.
• W2105963591 hasRelatedWork W578546174 @default.
• W2105963591 hasRelatedWork W586145699 @default.
• W2105963591 hasRelatedWork W589671685 @default.
• W2105963591 hasRelatedWork W594930717 @default.
• W2105963591 hasRelatedWork W599520505 @default.
• W2105963591 hasRelatedWork W615513983 @default.
• W2105963591 hasRelatedWork W658968607 @default.
• W2105963591 hasRelatedWork W833380830 @default.
• W2105963591 hasRelatedWork W2555280406 @default.
• W2105963591 isParatext "false" @default.
• W2105963591 isRetracted "false" @default.
• W2105963591 magId "2105963591" @default.
• W2105963591 workType "article" @default.