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The advancements in sensor technology and ubiquity of connected devices have enabled the generation of large volume of disparate, dynamic and geographically distributed data both by scientific communities, industries and citizens. With astonishing technological innovations and convergence, there have been major changes in people's daily activities and social interaction. The socio-technological innovations motivate the concept of smart and connected cities. A smart city is forward-looking and progressive and has the potential to provide high-quality life. A resilient city can preserve its activities and bounce back to its previous stage in the face of an emergency while meeting the daily activities and needs of its citizens. It is imperative to improve our understanding of Resilient and Intelligent Cities in order to leverage these new powerful technologies to tackle the challenges ranging from climate change, public health, traffic congestion, economic growth, to digital divide, social equity, political movements, cultural conflicts, among others.
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Vision for a Holistic Smart City-HSC: Integrating Resiliency Framework via Crowdsourced Community Resiliency Information System (CRIS)
This vision paper discusses future directions and existing gaps in integrating smart city initiatives with resilience frameworks. It proposes the use of a multi-modular crowdsourced Community Resiliency Information System (CRIS) to overcome traditional ...
Using Digital Trace Data to Identify Regions and Cities
A greater understanding of human dynamics as they play out in both physical space and through interpersonal communication is vital for the design and development of intelligent and resilient cities. Physical context provides insight into the space-time ...
Topic Modeling To Contextualize Event-Based Datasets: The Colombian Peace Process
Colombia suffered civil conflict for over five decades resulting in thousands of deaths and kidnappings and millions of displaced citizens. A peace process between the government and the Revolutionary Armed Forces of Colombia (FARC) was negotiated in ...
Mobility Pattern Analysis for Power Restoration Activities Using Geo-Tagged Tweets
In this study, we analyzed mobility patterns of at-risk populations affected by an extreme event using geotagged tweets to geo-target power restoration efforts. Unlike other studies that have used tweets to facilitate emergency management activities, we ...
In-Database Geospatial Analytics using Python
The amount of spatial data acquired from crowdsourced platforms, mobile devices, sensors and cartographic agencies has grown exponentially over the past few years. Nearly half of the spatial data available currently are stored and processed through ...
ADMSv2: A Modern Architecture for Transportation Data Management and Analysis
This paper presents ADMSv2, an end-to-end data-driven system that enables real-time and historical data analytics and machine learning tasks over big, streaming, spatiotemporal data. ADMSv2 employs a unified multi-layered architecture that integrates ...
Structuralizing Disaster-scene Data through Auto-captioning
Disaster-scene images documenting the magnitude and effects of natural disasters nowadays can be easily collected through crowdsourcing aided by mobile technologies (e.g., smartphones or drones). One challenging issue that confronts the first-responders ...
Towards an Integrated and Realtime Wayfinding Framework for Flood Events
City planners can encounter severe challenges during natural disasters. Flooding, for example, is considered as the number one cause of infrastructure damage across the world. Flooding can have a significant impact on personal property, commercial ...
Flood Depth Estimation from Web Images
Natural hazards have been resulting in severe damage to our cities, and flooding is one of the most disastrous in the U.S and worldwide. Therefore, it is critical to develop efficient methods for risk and damage assessments after natural hazards, such ...
Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring
Extreme events such as urban floods are dynamic in nature, i.e. they evolve with time. The spatiotemporal analysis of such disastrous events is important for understanding the resiliency of an urban system during these events. Remote Sensing (RS) data ...
Index Terms
- Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities
Recommendations
The 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities: Seattle, WA, USA, November 3, 2020: ARIC 2020 workshop report
The advancements in sensor technology and ubiquity of connected devices has enabled the generation of large volume of disparate, dynamic and geographically distributed data both by scientific communities and citizens. With astonishing technological ...
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
ARIC'19 | 16 | 10 | 63% |
Overall | 16 | 10 | 63% |