Zobrazeno 1 - 10
of 3 344
pro vyhledávání: '"Böing, A"'
Autor:
Barthelemy, Marc, Boeing, Geoff
Publikováno v:
Findings. 2024 Aug 13
We review measures of street network structure proposed in the recent literature, establish their relevance to practice, and identify open challenges facing researchers. These measures' empirical values vary substantially across world regions and dev
Externí odkaz:
http://arxiv.org/abs/2409.08016
We present a parallel cluster algorithm for $N$-body simulations which uses a nearest neighbour search algorithm and one-sided messaging passing interface (MPI) communication. The nearest neighbour is defined by the Euclidean distance in three-dimens
Externí odkaz:
http://arxiv.org/abs/2408.15348
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computin
Externí odkaz:
http://arxiv.org/abs/2407.17316
Autor:
Boeing, Geoff
Street intersection counts and densities are fundamental measures in transport geography and urban planning. Conventional street network data and analysis tools often lead to significant overcounting of these measures. This study investigates the cau
Externí odkaz:
http://arxiv.org/abs/2407.00258
Autor:
Boeing, Geoff, Ha, Jaehyun
Publikováno v:
Transportation Research Part A: Policy and Practice, 2024
Street networks allow people and goods to move through cities, but they are vulnerable to disasters like floods, earthquakes, and terrorist attacks. Well-planned network design can make a city more resilient and robust to such disruptions, but we sti
Externí odkaz:
http://arxiv.org/abs/2403.10636
Publikováno v:
Transportation Research Part D: Transport and Environment, 127, 103961 (2024)
This study estimates the relationships between street network characteristics and transport-sector CO2 emissions across every urban area in the world and investigates whether they are the same across development levels and urban design paradigms. The
Externí odkaz:
http://arxiv.org/abs/2401.01411
Autor:
Lutz, Simon, Wittbold, Florian, Dierl, Simon, Böing, Benedikt, Howar, Falk, König, Barbara, Müller, Emmanuel, Neider, Daniel
Anomaly detection is essential in many application domains, such as cyber security, law enforcement, medicine, and fraud protection. However, the decision-making of current deep learning approaches is notoriously hard to understand, which often limit
Externí odkaz:
http://arxiv.org/abs/2303.14111
Publikováno v:
Urban Studies, 2023
Vehicular air pollution has created an ongoing air quality and public health crisis. Despite growing knowledge of racial injustice in exposure levels, less is known about the relationship between the production of and exposure to such pollution. This
Externí odkaz:
http://arxiv.org/abs/2301.00440
Autor:
D. L. Finney, A. M. Blyth, M. Gallagher, H. Wu, G. J. Nott, M. I. Biggerstaff, R. G. Sonnenfeld, M. Daily, D. Walker, D. Dufton, K. Bower, S. Böing, T. Choularton, J. Crosier, J. Groves, P. R. Field, H. Coe, B. J. Murray, G. Lloyd, N. A. Marsden, M. Flynn, K. Hu, N. M. Thamban, P. I. Williams, P. J. Connolly, J. B. McQuaid, J. Robinson, Z. Cui, R. R. Burton, G. Carrie, R. Moore, S. J. Abel, D. Tiddeman, G. Aulich
Publikováno v:
Earth System Science Data, Vol 16, Pp 2141-2163 (2024)
Cloud feedbacks associated with deep convective anvils remain highly uncertain. In part, this uncertainty arises from a lack of understanding of how microphysical processes influence the cloud radiative effect. In particular, climate models have a po
Externí odkaz:
https://doaj.org/article/c74d6628cac94e379a02f4300c777047
Autor:
B. Maybee, C. E. Birch, S. J. Böing, T. Willis, L. Speight, A. N. Porson, C. Pilling, K. L. Shelton, M. A. Trigg
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 1415-1436 (2024)
Surface water flooding (SWF) is a severe hazard associated with extreme convective rainfall, whose spatial and temporal sparsity belie the significant impacts it has on populations and infrastructure. Forecasting the intense convective rainfall that
Externí odkaz:
https://doaj.org/article/fa4dfcee193841d5949e28f9d9ed09f6