
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | August 19, 2016 |
Latest Amendment Date: | August 1, 2018 |
Award Number: | 1640587 |
Award Instrument: | Standard Grant |
Program Manager: |
David Corman
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | September 1, 2016 |
End Date: | February 28, 2019 (Estimated) |
Total Intended Award Amount: | $233,123.00 |
Total Awarded Amount to Date: | $233,123.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
874 TRADITIONS WAY TALLAHASSEE FL US 32306-0001 (850)644-5260 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2000 Levy Avenue Tallahassee FL US 32310-5792 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Special Projects - CNS |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
As more of the world's cities suffer from congestion, pollution, and energy exploitation, urban mobility remains one of the toughest challenges that cities face as the process of population growth and urbanization continues. So far, the most common approach for urban mobility characterization focuses on vehicle's spatial and temporal positions. However, urban mobility is a multidimensional characteristic of the city life, experienced as tangled layers of interconnected infrastructures and information networks around people and their needs in a spatio-emporal frame. As a result, the study of mobility should go beyond transportation systems, be customer-centered and merged into other physical systems and cyber networks. This Early-concept Grant for Exploratory Research (EAGER) project is motivated by the need to increase the situational awareness in urban mobility and distribute reliable and timely information to city managers and city residents about issues associated with urban mobility. Through successful collaboration, this project aims to develop a new definition of urban mobility with measurable indices to characterize the urban mobility paradigm around citizens integrating transportation networks, electricity networks, and crowdsourced data. This EAGER project is expected to contribute to the team's established and ongoing effort in the Global City Teams Challenge (GCTC) in collaboration with the City of Tallahassee, Florida. The research team has completed the first phase of the GCTC, and this EAGER project will lay the foundation for the second phase by developing a data-driven approach to characterize urban mobility, which integrates collected data from the transportation network, electricity network, weather, air quality and social media within the City of Tallahassee. This approach will put the City of Tallahassee one step closer in their efforts towards being a "smart city" by improving the city services through measurable mobility benefits, and enhance the quality of life for residents. This approach will be supported by the active GCTC action cluster including Internet2, EDD Inc., and StanTec companies to support the Tallahassee GCTC efforts.
The UHDNetCity will be able to bring measurable mobility benefits and improve Tallahassee resident's quality of life in terms of (1) lowering energy consumption by vehicles and infrastructure, (2) reducing congestion, crashes and traveler frustration, (3) improving safety and reliability, and (4) providing a more streamlined, efficient and cost-effective system to operate and maintain city service networks. The UHDNetCity framework combines data fusion, signal processing, and machine learning, to provide a unified mathematical foundation for real-time urban mobility sensing by processing heterogeneous spatio-temporal measurement data and network models. This mathematical framework will lead to bridging the gap between supervised, and semi-supervised machine learning algorithms for urban mobility characterization using hidden data structures in the heterogeneous urban data sources. The UHDNetCity employs a user-driven play-centric design approach to encourage resident's adoption of the urban crowdsourcing dashboards such as DigiTally mobile app developed by the City of Tallahassee and promotes their engagement in the urban mobility management.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
This project helped in addressing the emerging need for a modern conceptualization of urban mobility and urban activities including networked interactions between cities and citizens through analogies that are derived from network flows, data processing, and causality analysis. In essence, urban mobility is a multidimensional characteristic of cities, experienced as layers of interconnected infrastructures, places, people, and information. Similarly, emergency resilience is also mostly considered as a single dimension attribute of a system although it has a multi-domain nature. However, both the study of mobility and resilience should examine all infrastructure systems, weather and environment and information networks. As such, the project developed two novel concepts, namely “co-mobility” and “co-resilience” in order to characterize the mobility and resilience in a spatio-temporal and multi-network scheme, respectively. This characterization provides a unified data-driven mathematical foundation for urban mobility and resilience management.
This foundation was supported by assessing citizens’ perceptions of smart city apps as well as several motivations and barriers that predicted citizens’ intentions to adopt and use smart city apps to report problems such as power outages and roadway blockages. Through a qualitative focus group study and a quantitative survey with a diverse pool of participants of various age groups and socio-economic status as well as city experts, these motivations and challenges were analyzed extensively. Findings indicated the facilitating features (e.g., convenience, ease of use) that drive the adoption of smart city app usage as well as barriers (e.g., privacy concerns, unwanted notifications) that might hinder their adoption and continued usage. As much as the concept of smart city technology is exciting and promising, findings indicate that developers and city governments need to promote smart city app benefits and address barriers before their full potential to improve a city can be realized.
The research team hopes the assimilation of the findings of this project will provide municipal utilities with a new way to use information to help them better predict the fluctuating power needs of their community and recognize opportunities to improve traffic flow. By helping municipal utilities adopt strategies to help them become more efficient in providing power to residents, this will ultimately lower costs and provide a better experience for their community. The developed models also show potential for improvement in emergency resilience. Researchers hope the knowledge of the co-resilience approach will help emergency agencies and other relevant departments accurately predict high risk locations with respect to fallen trees, power outages and roadway closures.
Findings from the survey also indicated that citizens used a variety of channels (e.g., phone, web site, e-mail, smart city app) in order to report problems they experienced (e.g., power outage or blocked roadway) during and after two hurricanes. Importantly, citizens’ satisfaction with the local government’s response to their reported problems was dependent on the channel they used to report the problem/s. These findings can be used by Florida and its communities to develop better crisis communication and storm-emergency plans that fit the diverse needs of the populations and allow for less-stressful evacuations, assist with effective sheltering and, ultimately, save lives.
City governments and communities were engaged through meetings where appropriate, allowing expert and public perspective and perception on the findings of this research. In order to maximize the educational impact of the project, the research team actively engaged high school students through FSU’s Young Scholars Program as well as undergraduate and graduate students from multiple disciplines (civil engineering, electrical engineering, and communications) in data analysis and modeling. This research exposed these students to many mobility and resilience issues, which range from accessibility and safety to information dissemination to public and resilience of infrastructure networks. These activities led to research publications which were published in peer-reviewed journals and presented at conferences such as Transportation Research Board (TRB), National Communication Association (NCA) and IEEE conferences.
Last Modified: 04/22/2019
Modified by: Eren E Ozguven
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