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Pages 24-49

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From page 24...
... 24 Survey Overview A survey was conducted from February to March 2020 that covered the breath of the data management for transit ecosystem. The survey requested information about the range of services and methods related to generating, collecting, cleaning, validating, integrating, and disseminating the information.
From page 25...
... Survey Summary Results 25 # Category Subcategories Questions 1 General Agency Organization 7. What modes are provided by your organization?
From page 26...
... 26 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data # Category Subcategories Questions 16 Data Management Data Storage 43. What types of data storage systems does your organization have?
From page 27...
... Survey Summary Results 27 Service Data Information on what types of raw service data are generated or collected for each mode is covered by Question 11 and the technologies to generate the data were included in Question 10. The data provided in the question include options for static, real-time, and third-party data.
From page 28...
... 28 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data services that provide on-demand paratransit services manage this type of data to a lesser extent. Flex bus service provide service at stops, but microtransit stops are driven by customer requests.
From page 29...
... 78 % 42 % 55 % 67 % 83 % 67 % 86 % 25 % 78 % 42 % 55 % 67 % 83 % 67 % 86 % 25 % 15 % 8% 27 % 11 % 1 7% 0% 29 % 0% 78 % 25 % 36 % 67 % 92 % 33 % 71 % 0% 85 % 25 % 41 % 78 % 92 % 33 % 71 % 50 % F I X E D R O U T E B U S F L E X R O U T E O R M I C R O T R A N S I T B U S P A R A T R A N S I T B U S R A P I D T R A N S I T L I G H T R A I L / S T R E E T C A R H E A V Y R A I L / S U B W A Y C O M M U T E R R A I L F E R R Y REALTIME DATA COLLECTED BY MODE Travel times Travel events Passenger Wait times Dwell times Boardings and alightings Figure 7. Real-time data collected by mode (Question 11)
From page 30...
... 30 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Performance Metrics Performance data sets -- Performance data are generated by comparing planned data (schedules) to actual operations or aggregated by statistical methods from time series data sets.
From page 31...
... Survey Summary Results 31 Ridership Performance Data Specific questions (Questions 17–18 for buses and Questions 19–20 for rail) were asked about processing ridership information and the tools from which the measures were derived.
From page 32...
... 32 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Rail Ridership Measures Rail ridership information includes light rail, heavy rail (subway) , and commuter rail services.
From page 33...
... Survey Summary Results 33 Transit Data Management Questions related to transit data management cover (1) data collection systems, (2)
From page 34...
... 34 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data through stop signs, while most provide information such as service delays and alerts using websites. Fewer deploy mobile apps, and fewer still use social media feeds to dispense service information to customers.
From page 35...
... Survey Summary Results 35 Data Collection Challenges (Question 47) Data Collection Challenges (from Question 48)
From page 36...
... 36 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Service Data Curation As described in Chapter 2, curation consists of the life-cycle management processes starting as soon as the data are acquired, through processes to clean, validate, integrate, store, and disseminate the data. Agencies were asked about their curation processes specifically about quality processes and challenges.
From page 37...
... Survey Summary Results 37 Figure 15. Use of data quality processes (Question 12)
From page 38...
... 38 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Additional challenges identify data integrity or mismatched units as challenges. Surprisingly, when asked to provide examples, most respondents cite examples associated with issues with their tools or lack of automated procedures as enumerated in Table 5.
From page 39...
... Survey Summary Results 39 the question and found 26% (7 out of 27) EAPs, and several are in the process of adopting some enterprise planning.
From page 40...
... 40 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Figure 17. Duplicated data sets (Question 25)
From page 41...
... Survey Summary Results 41 75% 43% 29% Specialized warehouse Enterprise data warehouse 11% 0 10 20 30 40 50 60 70 80 Operational database by application Other - Write In (Required) Pe rc en t 50% Enterprise operational database Figure 19.
From page 42...
... 42 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Organizational Units Managing Data Several questions asked respondents to identify who was responsible for managing various types of data including raw data (Question 22) and to participate in data curation (Question 56)
From page 43...
... Survey Summary Results 43 that the data included stop-level data sets (facilities, nonstandard stops) , schedule, or special event schedules.
From page 44...
... 44 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data • Difficult to find the right information 50% • Difficult to understand data lineage or quality of data 32% • Difficult to match data from different data sources 54% • Too much data (e.g., cannot store all data in data store) 21% • Difficult to manage PII 11% • Difficult to manage data and system security 7% • Other 7% – Ridership: Not enough devices to capture data – Cooperation between groups • Not applicable 11% In Question 52, respondents were asked to describe examples of their data management challenges in an open-ended question.
From page 45...
... Survey Summary Results 45 Needed Skill Sets In Question 53, respondents were asked "What skills are required to perform the data management and analytics work? Are these skill sets nurtured in your organization or outsourced (to university, consultants, vendors)
From page 46...
... 46 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Transit Data Governance Because there are limited research, presentations, or literature on transit data governance practices, the survey was developed to extract information on how transit agencies implement elements that compose a data governance framework. • People -- data stewardship and committees/roles and responsibilities • Processes -- data curation and data management • Operational rules -- data policies and management (including master data and synchronization)
From page 47...
... Survey Summary Results 47 The committee establishes rules and operational procedures to be followed for specific data sets. Question 34 requested documented material associated with the committee.
From page 48...
... 48 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data assumed by the agency during the regional data committee is mostly to provide expertise on transit data. Specific responses include the following: • Mostly advisory but for fare cards; voting members in the regional committee.
From page 49...
... Survey Summary Results 49 Figure 23. Projects or tools to support analysis, reporting, and communications of service data (N/A = not applicable)

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