The aim of this research/project is to investigate and analyze the opportunities and challenges of implementing AI technologies in general and in the transport and logistics sectors. Also, the potential impacts of AI at sectoral, regional, and societal scales that can be identified and chan- neled, in the field of transport and logistics sectors, are investigated. Special attention will be given to the importance and significance of AI adoption in the development of sustainable transport and logistics activities using intelligent and autonomous transport and cleaner transport modalities. The emphasis here is therefore on the pursuit of ‘zero emissions’ in transport and logistics at the urban/city and regional levels.Another goal of this study is to examine a new path for follow-up research topics related to the economic and societal impacts of AI technology and the adoption of AI systems at organizational and sectoral levels.This report is based on an exploratory/descriptive analysis and focuses mainly on the examination of existing literature and (empirical) scientific research publica- tions, previous and ongoing AI initiatives and projects (use cases), policy documents, etc., especially in the fields of transport and logistics in the Netherlands. It presents and discusses many aspects of existing challenges and opportunities that face organizations, activities, and individuals when adopting AI technology and systems.
How can transport and land-use transitions in urban regions be understood and supported? This question is increasingly relevant for researchers and policy makers alike given the growing urgency of sustainability issues confronting cities and the limited improvements can be observed despite continued policy attention, for example Transit-oriented development policies. To tackle this question, this thesis draws on theories and concepts from transition studies. This has led to a richer conceptualisation of transitions and the extent to which policy makers can actively influence them. Transport and land-use transitions can be seen as resulting from the interaction between established and novel structures and practices and exogenous developments. In historic case studies carried out in Munich and Zürich, we see that in transitions that have taken place troubles, or difficulties that people experience in their daily lives, play an important role in focusing political debates. In the process of reaching consensus regarding problems and solutions, interest groups, coalition building and both implicit and explicit societal rules open to conflict and supportive of its resolution play a pivotal role. To aid in supporting transition attempts, a reflexive planning approach has been developed and tested in the region of Amsterdam. The breadth of the focus in this approach in terms of developments considered and actors involved resulted in potential solutions that differed from traditional policy in terms of innovativeness and the extent of support for them.
MULTIFILE
Animal welfare is a multidimensional phenomenon and currently its on-farm assessment requires complex, multidimensional frameworks involving farm audits which are time-consuming, infrequent and expensive. The core principle of precision agriculture is to use sensor technologies to improve the efficiency of resource use by targeting resources to where they give a benefit. Precision livestock farming (PLF) enables farm animal management to move away from the group level to monitoring and managing individual animals. A range of precision livestock monitoring and control technologies have been developed, primarily to improve livestock production efficiency. Examples include using camera systems monitoring the movement of housed broiler chickens to detect problems with feeding systems or disease and leg-mounted accelerometers enabling the detection of the early stages of lameness in dairy cows. These systems are already improving farm animal welfare by, for example, improving the detection of health issues enabling more rapid treatment, or the detection of problems with feeding systems helping to reduce the risk of hunger. Environmental monitoring and control in buildings can improve animal comfort, and automatic milking systems facilitate animal choice and improve human-animal interactions. Although these precision livestock technologies monitor some parameters relevant to farm animal welfare (e.g. feeding, health), none of the systems yet provide the broad, multidimensional integration that is required to give a complete assessment of an animal’s welfare. However, data from PLF sensors could potentially be integrated into automated animal welfare assessment systems, although further research is needed to define and validate this approach.
MULTIFILE
