Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Larson, Kent"'
Data generated by users on digital platforms are a crucial resource for advocates and researchers interested in uncovering digital inequities, auditing algorithms, and understanding human behavior. Yet data access is often restricted. How can researc
Externí odkaz:
http://arxiv.org/abs/2404.13172
Autor:
Cerviño, Ainhoa Genua, Sanchez, Naroa Coretti, Wang, Elaine Liu, Grignard, Arnaud, Larson, Kent
In recent years, the rapid growth of on-demand deliveries, especially in food deliveries, has spurred the exploration of innovative mobility solutions. In this context, lightweight autonomous vehicles have emerged as a potential alternative. However,
Externí odkaz:
http://arxiv.org/abs/2402.19233
Understanding the link between urban planning and commuting flows is crucial for guiding urban development and policymaking. This research, bridging computer science and urban studies, addresses the challenge of integrating these fields with their di
Externí odkaz:
http://arxiv.org/abs/2402.15398
Tax returns contain key financial information of interest to third parties: public officials are asked to share financial data for transparency, companies seek to assess the financial status of business partners, and individuals need to prove their i
Externí odkaz:
http://arxiv.org/abs/2311.13008
In this work, we aim to confirm the impact of the Fourier series on the quantum machine learning model. We will propose models, tests, and demonstrations to achieve this objective. We designed a quantum machine learning leveraged on the Hamiltonian e
Externí odkaz:
http://arxiv.org/abs/2302.00105
Publikováno v:
Transportation Research Part D: Transport and Environment, 2022
Autonomous bicycles have recently been proposed as a new and more efficient approach to bicycle-sharing systems (BSS), but the corresponding environmental implications remain unresearched. Conducting environmental impact assessments at an early techn
Externí odkaz:
http://arxiv.org/abs/2202.12405
Autor:
Coretti Sanchez, Naroa, Larson, Kent
Publikováno v:
In Transportation Research Interdisciplinary Perspectives September 2024 27
Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation planning to epidemic modeling. However, issues must be overcome to best ser
Externí odkaz:
http://arxiv.org/abs/2201.01139
Autor:
Yurrita, Mireia, Grignard, Arnaud, Alonso, Luis, Zhang, Yan, Jara-Figueroa, Cristian, Elkatsha, Markus, Larson, Kent
As cities become increasingly populated, urban planning plays a key role in ensuring the equitable and inclusive development of metropolitan areas. MIT City Science group created a data-driven tangible platform, CityScope, to help different stakehold
Externí odkaz:
http://arxiv.org/abs/2106.14572
Publikováno v:
Communications in Transportation Research, Volume 2, December 2022
Rethinking cities is now more imperative than ever, as society faces global challenges such as population growth and climate change. The design of cities can not be abstracted from the design of its mobility system, and, therefore, efficient solution
Externí odkaz:
http://arxiv.org/abs/2106.09694