GIS analysis · Spring 2026 · Urban Spatial Analytics, NYU Tandon and CUSP

Left behind by electrification: evaluating MTA bus routes

New York has committed to an all-electric MTA bus fleet by 2040. Steep hills and long depot-to-depot cycles mean some routes in Manhattan and the Bronx cannot convert without new infrastructure. A five-stage GIS workflow finds those routes and sites the charging stations that unlock them.

Team
Two: me and Vaishnavi Potphode
Course
Urban Spatial Analytics (CUSP-GX 8033), Spring 2026, final project
Study area
Manhattan and the Bronx
Tools
ArcGIS Pro 3.3 with Spatial Analyst and Network Analyst, ArcGIS StoryMaps, ArcGIS Online
Links
Full StoryMap on ArcGIS
Bus routes in Manhattan and the Bronx colored by slope percent, from yellow for flat to purple for steep
Energy burden map: every route segment in Manhattan and the Bronx colored by slope, from 0 to 2 percent in yellow to more than 5 percent in purple.

The problem

Battery-electric buses face two geographic constraints that diesel buses do not. Every climb draws more power, and current heavy-duty electric buses see significantly faster battery drain on routes where more than 15 percent of the length has a gradient steeper than 5 percent. And an articulated MTA electric bus has a real-world range of about 150 miles on one charge, which several Bronx and Manhattan routes approach or exceed once the full daily cycle from depot to depot is modelled. Where a route carries both penalties, its effective range shrinks further.

The research question: how do topography and route distance dictate the physical feasibility of converting MTA bus routes in Manhattan and the Bronx to battery-electric vehicles, and where should mid-route charging go to unlock the most constrained routes?

Data

Method

Five stages, each built on the output of the one before: data inputs, topographic modeling in Spatial Analyst, route and range modeling in Network Analyst, integration into a single hard-to-convert routes layer, and charging station siting with Location-Allocation.

Flowchart of the five-stage GIS workflow, from data inputs to the feasibility map and the charging station plan
The five-stage workflow, from raw inputs to two deliverables: a feasibility map and a charging station plan.
Map of Manhattan and the Bronx with the 1-foot elevation model in greyscale
Study area and elevation. The Bronx reads bright, with ridgelines in Riverdale, University Heights and Morris Heights up to 293 feet. Manhattan stays flat until Washington Heights and Inwood.
Map of bus routes in Manhattan and the Bronx colored by type: local, SBS and limited
Types of bus routes. Local routes form the dense grid; SBS routes cover longer gaps between stops and accumulate more daily mileage per cycle.

Stage 2: topography

Slope was derived from the elevation model and extracted along every route. Segments at a 5 percent grade or steeper were isolated, and a Percent_Difficult field on the route totals table records what share of each route is steep terrain: steep frequency divided by total frequency, times 100. Routes above 15 percent were flagged as topographically difficult.

Stage 3: range

Daily miles per route came from the GTFS data, summed over the full cycle. A 150 mile range was the baseline for a healthy battery. Effective range takes the hill penalty off that figure, Eff_Range = 150 × (1 − Percent_Difficult / 100), and the range gap is daily service miles minus effective range.

Energy burden map: routes colored by slope percent, yellow for 0 to 2 percent, orange for 2 to 5 and purple above 5
Energy burden map. Yellow routes at 0 to 2 percent grade dominate Midtown and lower Manhattan; purple routes, where more than 15 percent of the length exceeds a 5 percent grade, cluster in the western and central Bronx.
Operational range deficit map: routes colored green, cyan and blue by how far their daily miles exceed 150
Operational range deficit. Every route already exceeds 150 miles. Green, 150 to 185 miles, is reachable with one charging stop; cyan, 185 to 210, needs deliberate infrastructure; blue, above 210, has a critical feasibility gap.

The depot pins matter. Routes from Kingsbridge and West Farms carry the heaviest cyan and blue concentrations, because those depots sit at the geographic edges of long service corridors. A long route becomes even more constrained when the depot it returns to is far from the middle of its service area.

Stage 4: where both constraints meet

Intersecting the two highest-stress layers gives the critical terrain intersections: the street segments where two or more constrained routes share the same steep ground. A battery stress score, daily miles divided by effective range, marks routes that would use more than all of their usable energy. Brown routes fail both tests. Blue routes exceed the range limit but stay on manageable gradients, so one charging stop is likely enough. The yellow dots are the shared segments, and they become the candidates for charging.

Stage 5: siting five stations

Hot spot analysis (Getis-Ord Gi*) ran on the intersection counts with a fixed distance band of 1,320 feet, a quarter mile. Only sites in the 99 percent confidence bin went forward as candidates. Location-Allocation in Network Analyst, with the Maximize Coverage problem type and a distance cutoff, then picked the subset of candidates that serves the most at-risk routes while keeping an operational distance from existing facilities.

Feasibility map: blue routes over the range limit, brown routes that also fail the terrain test, and yellow dots at critical intersections
Feasibility categorisation with critical terrain intersections. Brown routes and yellow dots follow the same ridge terrain as the elevation model.
Map of bus routes with five proposed charging station symbols from upper Manhattan to lower Manhattan
EV charging station siting. Five stations from the solver, each on a corridor shared by several constrained routes, spread from upper Manhattan through Midtown to lower Manhattan.
ArcGIS Pro screenshot with steep route segments selected and their attribute table open
Isolating the segments with a slope of 5 percent or more in ArcGIS Pro.
ArcGIS Pro screenshot of the Location-Allocation layer with facilities, demand points and lines
The Location-Allocation layer: candidate facilities, demand routes and the chosen sites.

Findings

5charging stations on shared corridors, the minimum to unlock the hardest routes in the study area
150 mireal-world range of an articulated electric bus, the baseline that most routes already exceed
9depots serving Manhattan and the Bronx; Kingsbridge and West Farms carry the heaviest range burden
293 fthighest ridge elevation in the Bronx, the root cause of the terrain penalty

Topographic difficulty concentrates in the western and central Bronx, through Morris Heights, Fordham and the Grand Concourse corridor, and at the northern tip of Manhattan. Range constraint is widespread: most routes exceed the 150 mile daily cycle before any terrain penalty is applied. The two compound each other, so the grade-adjusted range of the hardest routes is meaningfully below the manufacturer figure. The pattern mirrors what Los Angeles Metro found, and supports Santiago's approach of mapping constraints before setting a conversion schedule.

Recommendations

  1. Run a network-wide spatial feasibility assessment before finalising the conversion timeline, extending this method to all five boroughs.
  2. Fund shared-corridor charging stations as foundational infrastructure rather than optional additions: one station serves several routes at once.
  3. Plan with grade-adjusted range, not the flat manufacturer specification, so hilly routes get the infrastructure they need before buses enter service.

Limitations

The study measures two physical constraints. Grid capacity at each depot, capital costs, fleet replacement schedules, winter battery performance and training are outside it, and the five stations solve routing feasibility, not the wider infrastructure question. The study area is Manhattan and the Bronx; Staten Island would likely show stronger patterns. Next steps: all five boroughs, a cost model for the priority stations, and a test of the solver's sites against MTA operations.

The full StoryMap has the literature review, every map at full size and the references. Open the StoryMap
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