Types of Data and Information

Ridership

  • In public transport, ridership is the number of passengers boarding a mode of the public transit system
  • Types of transit ridership information used by planners include ridership by:
    • System
    • Route
    • Day
    • Specific bus trip
    • Per hour and per bus stop
  • One of the most common types of service planning concepts involves the increase of service frequencies to increase ridership
  • Performance measures could include:
    • Estimated annual ridership
    • Boarding per service mile
    • Boarding per service hour

  • In an era of reduced budgets and the potential need to reduce service, service frequency decreases provide a guideline of what kind of ridership losses would be sustained if cuts in service are required Performance measures in this scenario include:
    • Estimated annual ridership
    • Estimated scenario operating cost
    • Net operating cost per service mile
    • Net operating cost per passenger trip

Public Input (Complaints and Suggestions)

  • Public participation requires an understanding of the various communication methods that the riding and non-riding public wish to interact with, as well as a willingness to receive the public’s input.
  • Public participation ensures that decisions are made in consideration of and to benefit public needs and preferences
  • Sources of public input include:
    • Community meetings
    • Correspondence with agencies
    • Complaints and requests to customer service representatives
    • Observations and information received by transit drivers
    • Concern through public officials
    • Other organizations

Market Research, Surveys

  • An onboard survey can be used to collect a wide variety of data including:
    • O/D information
    • Transit use characteristics of passengers
    • Demographic passenger profile
    • Passenger satisfication/attitudes
    • Comparison/contrast of ridership segments
    • Specific passenger comments
  • Focus groups are a cost-effective means of exploring the attitudes of a specific target group
    • Users
    • Potential users
    • Voters/employees

Demographic and Socio-Economic Data

  • Several demographic variables are correlated to transit planning including:
    • Overall population
    • Age distribution
    • Race and ethnicity
    • Household composition
    • Household income
    • Education level
    • Residence location
    • Personal vehicles per household

Staff Input

  • Transit operations personnel are responsible for:
    • Fleet management
    • Maintenance operations
    • Scheduling activities
  • The person responsible for fleet management monitors, controls, and modifies the transit fleet routes and schedules on a day-to-day basis (dynamic scheduling)
  • Modifications take abnormal situations into account including:
    • Vehicle breakdowns
    • Vehicle delay
    • Detours around work zones/incidents
    • Route/schedule deviations
  • Transit operations personnel are responsible for demand-responsive transit operation
  • Transit operations personnel may be responsible for:
    • Assigning vehicle operators to routes
    • Checking vehicle operators in and out
    • Managing transit stop issues

Data Collection/Analysis Tools

APC, AVL, Farebox

  • Automated Passenger Counter (APC)
  • Automated Vehicle Location (AVL)
  • Automated fareboxes

GIS, Planning and Scheduling Software

  • For cost-effective route planning, GIS needs to take into account:
    • The street network
    • Ridership demand
    • Demographic and socio-economic data
  • Planners can use this information to understand the characteristics of neighborhoods and commercial areas within walking distance of existing and potential bus routes and bus stops

GIS Benefits

  • Analyzes and displays travel patterns on the bus system in the context of surrounding land use, demographics, and socioeconomic characteristics
  • Provides staff, local officials, and the public with easy to understand graphical information depicting service levels and system performance
  • Targets the marketing of transit services to specific geographic and socioeconomic markets
  • Analyzes the characteristics of current and potential riders at each bus stop in order to prioritize bus stops for ADA improvements
  • Controls the administration of on-board surveys and analyzes survey results to understand the travel patterns of its riders and validate ridership forecasting models
  • Evaluates new bus stop locations for relative accessibility and estimates the ridership potential of each alternative location
  • Quickly evaluates the impact of potential service changes
  • Transfers information efficiently between databases on transit operations, land use, population characteristics, and ridership patterns

Transportation Elasticity Models

  • Research shows transport price changes affect:
    • Trip frequency
    • Route
    • Mode
    • Destination
    • Scheduling
    • Vehicle type
    • Parking location
    • Type of service
  • Price sensitivity is often measured using “elasticities,” defined as the change of goods consumption caused by each one-percent change in price or other characteristics, such as travel speed or transit service
  • Elasticity values are classified by their magnitude:
    • 1.0 refers to unit elasticity
    • Elasticities of less than an absolute value of 1.0 are called “inelastic” meaning insensitive to price change
    • Elasticities of greater than an absolute value of 1.0 are called “elastic” meaning sensitive to price change
  • Cross elasticities are the percentage change in the consumption of a good resulting from a price change in another related good

Application of Data in Service Planning

Extracting the Important Data for Service Planning

  • Particular attention is given to methods used to estimate:
    • System-level ridership
    • Passenger miles
    • Service Reliability
    • Passenger transfers

Applying Data Properly for Good Planning Decisions

  • Gather ridership and performance data for various transit services
  • Retrieve data from APCs, AVL systems, fare boxes, and other soruces
  • Develop existing data collection instruments and methodologies for improved efficiency or accuracy
  • Ensure data integrity; research and correct the cause of inconsistencies
  • Perform database management and organization of public transit data
  • Provide statistical information and report analysis of public transit data
  • Respond to data requests promptly and accurately for internal queries, as well as those of local, state, and federal agencies
  • Develop, maintain, and submit monthly, quarterly, and annual operational reports for internal, local, state, and federal agencies, such as the Federal Transit Administration and the National Transit Database
  • Ensure requirements are met and documents are submitted for continued eligibility for grant funding
  • Provide current detailed GIS data maps for a variety of purposes, including scheduling software-based mapping, bus stop inventory, display-quality route maps, and demographic representations
  • Develop and present complex data in an accessible and understandable form
  • Support special projects and research transit-related topics as needed