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Pages 16-19

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From page 16...
... Yes 23 85 Depends on purpose 2 7 No 2 7 Total responding 27 100 TABLE 26 IS THERE AN OPTIMAL AMOUNT OF DATA NEEDED FOR RIDERSHIP FORECASTING AND PLANNING? INTRODUCTION This is the second of two chapters presenting the results of a survey of transit agencies regarding ridership forecasting.
From page 17...
... Agencies Responding Agencies Responding (%) Data reliability/accuracy 7 30 Level of detail in data 7 30 Improved analytical tools 7 30 Data availability 6 26 Data integration from different sources 4 17 Origin/destination estimation possible 3 13 Faster analysis time 3 13 Better reporting 2 9 Total responding 23 100 TABLE 28 DATA AVAILABILITY ISSUES TABLE 29 SATISFACTION WITH RELIABILITY OF INPUT DATA TABLE 30 RELIABILITY CONCERNS BY DATA TYPE TABLE 32 EFFECTS OF TECHNOLOGY ON RIDERSHIP FORECASTING TABLE 31 MEASURING RELIABILITY AND VALUE OF FORECASTING METHODOLOGY TABLE 33 SPECIFIC TECHNOLOGICAL CHANGES AFFECTING RIDERSHIP FORECASTING TABLE 34 HOW TECHNOLOGIES HAVE AFFECTED FORECASTING METHODOLOGIES SATISFACTION WITH RIDERSHIP FORECASTING Table 35 shows transit agency satisfaction with current ridership forecasting methods.
From page 18...
... Among the specific responses were greater sophistication, more consistency, and easier to apply models. "Approaches" is a catch-all category that includes adopting written guidelines, basing ridership forecasting on industry standards and best practices, and allowing alternate specific constants in FTA procedures.
From page 19...
... • Input data and methodology were the most frequently mentioned aspects of ridership forecasting procedures that transit agencies would like to change. Agencies report a need for greater data availability, more current data, and data at a more detailed level.

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