Multimodal Systems Framework for Last-Mile Freight Delivery in NYC
Scenario-based feasibility and optimization model comparing cargo bikes, e-vans, & diesel trucks across NYC
2025 - In progress
( Python, ArcPy. Excel, GIS )
Capstone Project - System Optimization | Modelling
Summary
New York’s freight system moves nearly 90% of goods by truck, producing disproportionate environmental and congestion impacts in Environmental Justice neighborhoods. At the same time, city agencies and fleet operators face increasing pressure to electrify and reduce emissions. However, mode substitution is not universally feasible. Distance thresholds, capacity constraints, congestion, service time limits, and disruptions such as EV downtime restrict the operational viability of cargo bikes and e-vans.
Approach
We built a scenario-based engine that evaluates cargo bikes, e-vans, and diesel trucks across NYC’s 262 zones. A constraint-first feasibility layer filters modes by distance, time, and capacity before computing cost and emissions. Results are aggregated into zone-level feasibility and best-mode maps to support planning and transition decisions.
Impacts
The BIGBOX Houing propoxal enisiomi a case study of convertinga vacant In Green Meamnanth BPOCd in dee need of afforable in Green Meadowa, a predominantly BIPOC. nighrhood in dire need of affordab hoasing. Our plan involves an incremental development over a decade, adding 500 hxusing units, 10 small-business shops, AWS warehoming, a community and health enter, and flexible public spaces. Our design approach involvesa proposed commanity mof oo trusta (CRT) modeldel, promoting promoting a botlom-up, bottom-up, phased deviopme development witha 10
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