ASPIRE: A Method for Quantitatively Rating Transportation Methods in U.S. Cities
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
With the growing reliance on mass transportation in urban areas, the effects of climate change on cities become more pronounced. To avoid pollution and congestion from motorized transportation, investing in walking is crucial for achieving transportation-based climate goals. This paper aims to develop a comprehensive, quantitative model capable of evaluating three transportation modes (walking, cycling, and public transportation) in urban environments. Using a deep learning model and a data collection pipeline, ASPIRE gathers information on a U.S. city's geography, environment, safety, aesthetics, and population. Early analysis has assessed the model's accuracy and established a framework to identify underdeveloped mode infrastructure from a climate perspective. This model can quantitatively evaluate the environmental impact of infrastructure priorities in cities and guide urban planning.
Identifier
105002702355 (Scopus)
ISBN
[9798331531003]
Publication Title
URTC 2024 - 2024 IEEE MIT Undergraduate Research Technology Conference, Proceedings
External Full Text Location
https://doi.org/10.1109/URTC65039.2024.10937561
Recommended Citation
Hayes, Amiri, "ASPIRE: A Method for Quantitatively Rating Transportation Methods in U.S. Cities" (2024). Faculty Publications. 1191.
https://digitalcommons.njit.edu/fac_pubs/1191
