NSF Org: |
SES Divn Of Social and Economic Sciences |
Recipient: |
|
Initial Amendment Date: | September 6, 2018 |
Latest Amendment Date: | April 7, 2023 |
Award Number: | 1831347 |
Award Instrument: | Standard Grant |
Program Manager: |
Sara Kiesler
skiesler@nsf.gov (703)292-8643 SES Divn Of Social and Economic Sciences SBE Direct For Social, Behav & Economic Scie |
Start Date: | September 1, 2018 |
End Date: | August 31, 2024 (Estimated) |
Total Intended Award Amount: | $1,399,861.00 |
Total Awarded Amount to Date: | $1,670,961.00 |
Funds Obligated to Date: |
FY 2022 = $271,100.00 |
History of Investigator: |
|
Recipient Sponsored Research Office: |
1109 GEDDES AVE, SUITE 3300 ANN ARBOR MI US 48109-1079 (734)763-6438 |
Sponsor Congressional District: |
|
Primary Place of Performance: |
3003 South State St. Room 1062 Ann Arbor MI US 48109-1274 |
Primary Place of Performance Congressional District: |
|
Unique Entity Identifier (UEI): |
|
Parent UEI: |
|
NSF Program(s): |
S&CC: Smart & Connected Commun, Secure &Trustworthy Cyberspace |
Primary Program Source: |
01001819DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
|
Program Element Code(s): |
|
Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.075 |
ABSTRACT
The rapid emergence of new information and sensing technologies is empowering the formation of smart and connected communities (S&CC). This project aims to advance the use of smart and connected technologies to empower new modes of community-based decision making to identify and implement transformative solutions to community challenges. The project focuses on resource-constrained communities. The team will offer the community of Benton Harbor, Michigan, tools needed to explore new mobility solutions that provide greater access to employment, education, and healthcare. The project deploys sensing technologies to collect data needed to create analytical models of resident mobility preferences and mobility service performance. A community-based decision making framework will be created using scenario planning methods; in this framework, stakeholders are provided tools to explore mobility solutions with predicted outcomes visualized. Included in the team is the Twin Cities Area Transportation Authority (TCATA), which will iteratively implement mobility solutions originating from the scenario planning process with solutions quantitatively assessed. A partnership with Lake Michigan College further enhances the project's broader impacts by engaging community college students in the research and offering them experiences in the smart city field of study.
To explore the fundamental question of how resourced-constrained communities can utilize smart and connected technologies to implement novel but lean solutions to mobility challenges, the project will define a cost-effective data collection strategy that can assess the performance of existing solutions, track the mobility patterns of residents, and acquire resident perceptions of their mobility. GPS tracking using cell phones apps and computer vision on city buses will be used to generate the data needed to model the performance of current mobility configurations. Surveys of residents will augment these data sources. The project will map mobility data to an analytical framework that can predict both resident demand for mobility services and the performance of these services given changes in user demand. Activity-based models will be created with special emphasis on fine-grain estimation of travel demand in small communities. Predictive models will be developed to predict the quality of transit services provided by configurations of the mobility network. A key advancement will be the creation of scalable computational methods that optimize the mix of fixed route service with on-demand shuttling. This project will enable community-based decision making by visualizing mobility data and predictive outputs during a participatory planning process. The team will also provide TCATA with the ability to track and iteratively shape public transportation in order to enhance access to employment, healthcare, and education outcomes.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note:
When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
Please report errors in award information by writing to: awardsearch@nsf.gov.