The Last Dogs
Urban Ecology
The Sound of Zero
Sensory
3D Printing and Nanofabrication: Making Anything from Anything
Technology
Acoustic Surveillance Arrays: The City Listens
Technology
Addiction in GLMZ: Chemical, Digital, and Neural
Medicine
Aerial Taxi Vertiport Network: Transit for Those Above the Street
Technology
Advanced Materials: What 2200 Is Built From
Foundations
AI Content Moderation Platforms: The Invisible Editor
Technology
AI Hiring Screening Platforms: The Resume That Reads You Back
Technology
Aerial Transit Drone Corridor Systems: The Sky as Tiered Infrastructure
Transportation
AI-Driven Resource Allocation Systems: Distributing Scarcity by Algorithm
Technology
Alaska and the 13 Tribes: The First Corponations
Geopolitics
Algorithmic Justice: The Philosophy of Automated Fairness
Philosophy
AI Sentencing Advisory Systems: The Algorithm on the Bench
Technology
AI Parole Supervision Systems: Freedom Under Algorithmic Watch
Technology
Ambient Sensor Mesh Networks: The City as Nervous System
Technology
Ambient Audio Surveillance Arrays: The City That Listens Without Prompting
Technology
Archival Media Access and Historical Record Control: Who Owns Yesterday
Media
Ambient OCR Sweep Systems: Reading the Written World
Technology
The Arcturus Rapid Response Force
Military
The Atmospheric Processors: Weather Control Over the Lakes
Technology
The Arsenal Ecosystem of 2200
Violence
Augmentation Clinics: What the Procedure Is Actually Like
Medicine
Augmentation Dysphoria: When the Hardware Changes the Self
Medicine
Atmospheric Processors: How GLMZ Breathes
Technology
Augmentation Tiers & The Unaugmented
Technology
Augmentation Liability Law: Who Pays When the Implant Fails
Law
Autonomous Threat Assessment AI: Classifying Danger Before It Acts
Technology
Automated PCB Population Lines: Electronics Assembly at the Scale of the City
Technology
Autonomous Credit Scoring Engines: The Number That Defines You
Technology
Autonomous Surface Freight Crawlers: The Logistics Layer Beneath the City
Technology
The Fleet: GLMZ's Autonomous Vehicle Network
Technology
The Brain-Computer Interface: A Complete Technical History
Technology
Autonomous Vehicle Fleet Operations: Ground-Level Mobility in the Corporate Street Grid
Transportation
Your New Brain-Computer Interface: A Guide for First-Time Users
Technology
BCI Evolution Under Corporate Control
Technology
Behemoths: The Megastructure Entities
AI
Bioluminescent Technology: Living Light
Technology
Biocomputing: When They Started Growing the Processors
Technology
Bicycle and Micro-Mobility Infrastructure: Human-Scale Transit in the Megacity
Transportation
Biometric Skin Patch Surveillance: The Body as Data Terminal
Technology
Brain-Computer Interface Trajectory (2125-2200)
Technology
Black Site Interrogation Facilities: Corporate Detention Beyond Legal Reach
Espionage
Point 6: Medical & Biotech Without Ethics
Medicine
Cargo Drone Urban Delivery Corridors: The Air Layer of the Last Mile
Technology
Cap Level Zero: The Rooftop World Above the Arcologies
Geography
The Canadian Border Zone: Where Sovereignty Gets Complicated
Geopolitics
Case File: Mama Vex
Crime
Case File: The Cartographer
Crime
Case File: The Basement Butcher
Crime
Case File: The Archivist
Crime
Case File: The Collector of Faces
Crime
Case File: The Debt Collector
Crime
Case File: The Conductor
Crime
Case File: The Deep Current Killer
Crime
Case File: The Echo
Crime
Case File: The Elevator Ghost
Crime
Case File: The Dream Surgeon
Crime
Case File: The Dollmaker
Crime
Case File: The Frequency Killer
Crime
Case File: The Geneware Wolf
Crime
Case File: The Good Neighbor
Crime
Case File: The Gardener of Sublevel 30
Crime
Case File: The Lamplighter
Crime
Case File: The Kindly Ones
Crime
Case File: The Inheritance
Crime
Case File: The Lullaby
Crime
Case File: The Memory Eater
Crime
Case File: The Last Analog
Crime
Case File: The Limb Merchant
Crime
Case File: The Neon Angel
Crime
Case File: The Mirror Man
Crime
Case File: The Pale King
Crime
Case File: The Saint of Level One
Crime
Case File: The Porcelain Saint
Crime
Case File: The Seamstress
Crime
Case File: The Red Circuit
Crime
Case File: The Silk Executive
Crime
Case File: The Splicer
Crime
Case File: The Taxidermist
Crime
Case File: The Surgeon of Neon Row
Crime
Case File: The Void Artist
Crime
Ceramic and Composite Forming Systems: Advanced Materials for Structural and Thermal Applications
Technology
Case File: Ringo CorpoNation Security Division v. Marcus "Brick" Tallow
Foundations
Case File: The Whisper Campaign
Crime
Coldwall: The Arcturus Military District
Geography
Child Rearing and Youth Development Outside Corporate Provision: Growing Up Unlisted in GLMZ
Excluded_Life
Chemical Vapor Deposition Coating Systems: Surface Engineering at the Nanoscale
Technology
Citizenship Tier Statutes: Rights by Rank
Law
Communications & Surveillance (Point 7)
Foundations
Complexity and Consciousness: The Gravitational Theory of Mind
AI
The Collapse of the Coasts: How LA, New York, and Seattle Fell
History
The Amendments That Built This World: Constitutional Changes 2050-2200
Law
Continuous Casting Polymer Extrusion Rigs: The Industrial Backbone of the Mid-Tier District
Technology
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Surface Autonomous Bus Network: Mass Transit for the Middle and the Margin
The Surface Autonomous Bus Network—officially the Meridian Public Surface Transit System, universally called the MAST or simply the bus—is the largest by ridership of all transit systems in GLMZ, carrying an estimated 2.1 million passenger trips daily across 847 active routes covering all districts including peripheral and unzoned areas. MAST vehicles are electric autonomous platforms, typically 40 to 60 passengers in standard configuration, operating on fixed routes with dynamic schedule adjustment based on real-time demand data. Unlike the Spine or SkyReach, MAST operates without hard access tiering—any individual capable of paying the flat 4-credit fare or presenting a subsidized transit credential can board any route, a feature that makes it the only major transit system in the city accessible to the full socioeconomic range of the population.
The autonomous operation of MAST vehicles uses a sensor suite broadly similar to the freight crawler platform—LiDAR, radar, and visual systems with V2X infrastructure communication—but calibrated for mixed-traffic urban environments where pedestrian interaction density is far higher than in dedicated logistics corridors. MAST vehicles operate under a conservative autonomy protocol that prioritizes collision avoidance over schedule adherence, with the practical consequence that routes through high-pedestrian-density areas often run significantly behind published schedules. The MTA's own performance data shows on-time arrival rates averaging 61 percent system-wide, dropping to 43 percent in Districts 6 through 9 and to 28 percent in peripheral area routes, where road surface conditions, informal market encroachments on bus lanes, and higher rates of infrastructure sensor failure compound the baseline challenges.
Funding for MAST comes from a combination of fare revenue, a municipal transit allocation from the city government budget, and corporate district improvement assessments levied on commercial property owners in served areas. The funding formula has been a persistent source of political conflict: corporate interests in upper districts advocate for assessment rate reductions on the basis that their employees primarily use private or premium transit, while lower-district and peripheral community advocates argue that chronic underfunding of MAST is a direct cause of the service quality gap that makes lower-tier transit appear less desirable than it could be. Independent analyses of the funding model generally support the latter position, finding that per-rider infrastructure investment in MAST is approximately one-seventh of the per-rider investment in the Spine.
Despite its service quality challenges, MAST functions as the connective tissue of GLMZ's informal and peripheral economies. Routes that extend into unzoned areas carry workers to employment nodes in mid-tier districts, informal market operators moving inventory, and people navigating the city's social services infrastructure. MAST vehicles have consequently become social spaces with a density and diversity absent from the rest of the transit system—a fact reflected in the disproportionate attention MAST interiors receive from the city's surveillance infrastructure, with onboard camera systems, acoustic monitoring arrays, and automated fare evasion detection all standard equipment on current-generation vehicles. Civil society organizations have documented the use of MAST surveillance data in law enforcement investigations at rates substantially higher than equivalent surveillance on premium transit systems, a disparity they attribute to the socioeconomic profile of the ridership rather than any differential in recorded incident rates.
The autonomous operation of MAST vehicles uses a sensor suite broadly similar to the freight crawler platform—LiDAR, radar, and visual systems with V2X infrastructure communication—but calibrated for mixed-traffic urban environments where pedestrian interaction density is far higher than in dedicated logistics corridors. MAST vehicles operate under a conservative autonomy protocol that prioritizes collision avoidance over schedule adherence, with the practical consequence that routes through high-pedestrian-density areas often run significantly behind published schedules. The MTA's own performance data shows on-time arrival rates averaging 61 percent system-wide, dropping to 43 percent in Districts 6 through 9 and to 28 percent in peripheral area routes, where road surface conditions, informal market encroachments on bus lanes, and higher rates of infrastructure sensor failure compound the baseline challenges.
Funding for MAST comes from a combination of fare revenue, a municipal transit allocation from the city government budget, and corporate district improvement assessments levied on commercial property owners in served areas. The funding formula has been a persistent source of political conflict: corporate interests in upper districts advocate for assessment rate reductions on the basis that their employees primarily use private or premium transit, while lower-district and peripheral community advocates argue that chronic underfunding of MAST is a direct cause of the service quality gap that makes lower-tier transit appear less desirable than it could be. Independent analyses of the funding model generally support the latter position, finding that per-rider infrastructure investment in MAST is approximately one-seventh of the per-rider investment in the Spine.
Despite its service quality challenges, MAST functions as the connective tissue of GLMZ's informal and peripheral economies. Routes that extend into unzoned areas carry workers to employment nodes in mid-tier districts, informal market operators moving inventory, and people navigating the city's social services infrastructure. MAST vehicles have consequently become social spaces with a density and diversity absent from the rest of the transit system—a fact reflected in the disproportionate attention MAST interiors receive from the city's surveillance infrastructure, with onboard camera systems, acoustic monitoring arrays, and automated fare evasion detection all standard equipment on current-generation vehicles. Civil society organizations have documented the use of MAST surveillance data in law enforcement investigations at rates substantially higher than equivalent surveillance on premium transit systems, a disparity they attribute to the socioeconomic profile of the ridership rather than any differential in recorded incident rates.
| file name | surface_autonomous_bus_network_mass_transit_for_the_middle_and_the_margin |
| title | Surface Autonomous Bus Network: Mass Transit for the Middle and the Margin |
| category | Technology |
| line count | 7 |
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