MAKE CITIES DIGITALIZED AND CLEANER
Aiming to bring breakthroughs in the urban system domain with innovative digital technologies, theories, and platforms to improve the symbiosis value of flows of human, society, resource, energy, material, transportation, carbon, and information for the urban development towards carbon neutrality.
We are committed to the research of urban people flow data mining. For details, please refer to our open-source project, OpenMob: https://github.com/openmob/openmob
We also focus on urban PV potential estimation using AI technologies. For more details, please see our open-source project, OpenPV: https://github.com/OpenSolarPV/OpenPV
Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using big data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners.
Volume 1: Data Preprocessing and Visualization focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. It first provides a conceptual theory and framework, then goes on to discuss data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment and more. It concludes with a chapter on privacy protection in mobile big data mining.
Volume 2: Mobility Analytics and Prediction provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, it then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. It concludes with a chapter on graph-based mobility data analytics.
Volume 3: Mobility Data-driven Applications looks at various cases studies to illustrate and explore the methods introduced in the first two volumes. It begins with a set of chapters on Intelligent Transportation Management, using cases of dynamic road pricing, P2P bidding systems, bicycle-sharing systems, ride-sharing simulation, and customized bus systems. Part 2 then discusses Smart Emergency Management, detailing cases such as the Fukushima Earthquake, Hurricane Katrina, and COVID-19. Part 3 concludes with a set of chapters on Urban Sustainability Development, covering bicycle travel behavior, railway travel behavior, mobility inequality, and both road and light pollution inequality.
学期: 春季学期 开课学年: 2023
The R&D 100 Awards have served as the most prestigious innovation awards program for the past 60 years, honoring great R&D pioneers and their revolutionary ideas in science and technology.
The project's copyright belongs to LocationMind. Inc.
Smart 50 Awards - in partnership with Smart Cities Connect and Smart Cities Connect Foundation - annually recognize global smart cities projects, honoring the most innovative and influential work. This year, we will designate three winners from the overall awardee pool.
Innovative Applications in Analytics Award (IAAA) is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.
The John Tiratsoo Award for Young Achievement
recognizes the achievements of individuals under 35 years of age who have demonstrated a valuable and original contribution to the industry. Nominations should reference or reflect these qualities: Nature of achievement(s), Industry contribution or innovation, and Leadership potential.
Welcome to join us
Dr. Haoran Zhang 张浩然
Dr. Qing Yu 余庆
Zichen Zhang 张子辰
Muhua Zhao 赵沐华
Likun Peng 彭立坤
Wenqian Zhang 张雯倩