Award Abstract # 2303575
SCC-PG: Towards A User-Centered and Equity-Aware Micromobility Sharing Co-Design Network to Interact with A Distressed Municipality

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: UNIVERSITY OF CONNECTICUT
Initial Amendment Date: August 2, 2023
Latest Amendment Date: November 3, 2023
Award Number: 2303575
Award Instrument: Standard Grant
Program Manager: Daan Liang
dliang@nsf.gov
 (703)292-2441
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: September 1, 2023
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $150,000.00
Total Awarded Amount to Date: $158,000.00
Funds Obligated to Date: FY 2023 = $150,000.00
FY 2024 = $8,000.00
History of Investigator:
  • Suining He (Principal Investigator)
    suining.he@uconn.edu
  • Chuanrong Zhang (Co-Principal Investigator)
  • Carolyn Lin (Co-Principal Investigator)
  • Song Han (Co-Principal Investigator)
  • Eric Jackson (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Connecticut
438 WHITNEY RD EXTENSION UNIT 1133
STORRS
CT  US  06269-9018
(860)486-3622
Sponsor Congressional District: 02
Primary Place of Performance: University of Connecticut
438 WHITNEY RD EXTENSION UNIT 1133
STORRS
CT  US  06269-1133
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): WNTPS995QBM7
Parent UEI:
NSF Program(s): S&CC: Smart & Connected Commun
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
01002425DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 036E, 116E, 9178, 9231, 9251, CVIS
Program Element Code(s): 033Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041, 47.070

ABSTRACT

The objective of this Smart and Connected Communities Planning Grant (SCC-PG) project is to explore the use of micromobility resources as an affordable and flexible micro-mobility solution to connect riders with employment and other life-essential needs. It envisions a dockless electric scooter sharing program that helps alleviate mobility inequality prevalent in distressed neighborhoods of Hartford, Connecticut. Key research questions are 1) how low-income riders have been served by existing resources and infrastructures; and 2) how these riders would respond to the new interactive, user-centered program. The team proposes conducting big mobility data analysis and engages both current and potential electric scooter riders, service providers, government policymakers, and other stakeholders to form a community-driven planning roundtable. The project outcomes are applicable to other emerging micromobility systems and similar municipalities at various scales and locations. Students from underrepresented groups are recruited and trained.

This project reveals essential geospatial, infrastructural, socioeconomic, and policy factors to inform the design and distribution of micromobility resources. Through a case study in Hartford, Connecticut, the research team works with the service provider, civic partners, and rider community to gather their inputs on and co-design an equity-aware micromobility sharing program. The findings and techniques support the deployment of future micromobility systems in low-resourced or marginalized communities with mobility challenges.

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

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Huang, Huiqun and Yang, Xi and He, Suining and Tabatabaie, Mahan "Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction" ACM Transactions on Intelligent Systems and Technology , 2024 https://doi.org/10.1145/3682063 Citation Details
Miao, Congcong and Chen, Xiang and Zhang, Chuanrong "Assessing network-based traffic crash risk using prospective space-time scan statistic method" Journal of Transport Geography , v.119 , 2024 https://doi.org/10.1016/j.jtrangeo.2024.103958 Citation Details
Yang, Xi and He, Suining and Shin, Kang G and Tabatabaie, Mahan and Dai, Jing "Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study" IEEE Transactions on Big Data , 2024 https://doi.org/10.1109/TBDATA.2024.3414280 Citation Details
Yang, Xi and He, Suining and Tabatabaie, Mahan "Equity-Aware Cross-Graph Interactive Reinforcement Learning for Bike Station Network Expansion" Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2023 , 2023 https://doi.org/10.1145/3589132.3625588 Citation Details

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