MaaS Platform Equilibrium Model is a tool designed to model the decisions of travelers and operators in a Mobility-as-a-Service (MaaS) platform, allowing platform subsidy plans to to achieve a desirable equilibrium. The model considers different types of services providers: Mobility-on-Demand (MoD) operators and traditional fixed-route transit operators. It facilitates efficient management and coordination between users, operators, and the platform within a mobility ecosystem.

The model takes the network structure of the operators, travelers’ and operators’ costs, traveler demand, and a system objective, and outputs the assignment of traveler demand, operators’ operation decisions, and subsidy plans that optimizes the system objective. Potential system objectives includes minimizing system total costs, maximizing equity indices, minimizing GHG emissions, etc. The current tool considers minimizing system total costs.

The tool is coded in Python 3.8.5, which could be found here. 

NYC Equitable Zoning (NYCEZ) is a zoning system of NYC which considers data relibaility of 3 minority groups: population below poverty level, seniors above 67, and long commuters (>1 hour). The 2168 census tracts in NYC are aggregated with optimization. Average margin of error (MOE) percentages at census tract level of population above 67, population below poverty level, and population with a commute time above 1 hour are 15.22%, 50.07%, and 18.23%, respectively. After aggregation to the NYC Equitable Zones, MOE percentages become 8.02%, 12.33%, and 9.88%, respectively. Equitable Zones shown in Figure 5 simultaneously reduces the average MOE percentage of demographic data by 48% for seniors, 75% for low-income population, and 46% for long commuters.

See here for details