Creating and Integrating Relevant Nonmotorized Datasets
have access to an increasing amount of nonmotorized data from varied datasets.
These can be broadly divided into three tiers: travel monitoring data (volumes), travel
Behavior data (surveys) and other (infrastructure and crash data). However, the
lack of standards for formatting such data make data integration challenging.
Practitioners are left to their own devices to consolidate and analyze the data,
resulting in multiple formats and strategies that cannot be easily shared.
FHWA’s Traffic Monitoring Guide Chapters 7.9 and 7.10 provide
a standard data format for nonmotorized travel monitoring data, but this format
is not universally adopted and does not seamlessly integrate with other data
sets such as crash data or facility information such as sidewalk inventories. The
lack of standards results in clear limitations for current analyses dependent
upon nonmotorized data. Following are examples of specific needs for
nonmotorized data integration:
· A lack of crash typing for bicycle- and
pedestrian-involved crashes and varying standards for crash data make it hard
to compare between jurisdictions and between data types, despite the need for such
integration for broader safety analyses.
· Sidewalk inventories, often missing in datasets
despite being critical to understanding pedestrian travel, must be integrated
with transportation models if pedestrian routes are to be properly considered.
· GPS trace data from mobile apps is increasingly
seen as a way to supplement continuous and short duration bicycle count data to
understand bicycle travel on a network, yet clear and standardized guidance for
combining the various data sources has not been developed.
Time and resources spent on data integration by researchers
and practitioners around the country means that time and resources is not spent on safety analysis, travel
modeling, and project prioritization.
will create guidance for integrating nonmotorized data from all tiers and pilot
this data integration format in three communities. It will highlight how data
are gathered, processed, archived, and disseminated. It will create a user-friendly
resource to help translate data so it can be applied in a standardized manner to
inform decision-making across disciplines, improve the planning and design
process, and allow for greater comparability between municipalities. The three
pilot communities will test the guidance and demonstrate its utility.
data standards and common formats will allow cross cutting research in
nonmotorized transportation and allow jurisdictions to seamlessly integrate
their datasets into a common platform. This will reduce the time wasted on
bicycle and pedestrian data integration tasks by transportation professionals
around the nation, and thus, provide the opportunity to increase the time spent
on studying bicycle and pedestrian travel for design, operations, planning,
maintenance, economic impact, performance measurement, health and safety study.
FHWA Traffic Monitoring Guide Chapter 7.9 and 7.10, 2016
FHWA Pedestrian and Bicycle Crash Analysis Tool (PBCAT),
General Bikeshare Feed Specification. https://github.com/NABSA/gbfs
Grover, D., Wygonik, E., Bucossi, S., Bell. A, Piper, S.,
& Brewer-Colie, K. Estimating Current and Potential Bicycle Use for
Statewide Planning. TRR: Journal of the TRB, No 2587, 2016.
a CSCRS Clearinghouse for Bicyclist and Pedestrian Safety-Related Data, Phase
I: Inventory & Framework, Collaborative Science Center for Road Safety 2018
funded research project https://www.roadsafety.unc.edu/research/projects/2018r14/
1. Identify relevant bicycle and pedestrian
datasets through survey of practitioners and researchers.
Document existing practice for how these data
sets are currently gathered, processed, archived, and disseminated.
Create a set of data formats to enable data
integration between datasets.
a draft user-friendly guide documenting these formats.
the formats in three communities distributed across the nation of various sizes
(one small community, one medium to large city, and one metropolitan region to
test the guidance and demonstrate utility.
the guide based on experience with the pilot communities.
in-person workshops and remote webinars to assist other communities in
nonmotorized dataset creation and integration and provide for on-call responses
to community questions from guidebook authors.
The guidance will be implemented in three pilot communities,
and the knowledge will be spread via in-person workshops and remote webinars to
communities throughout the country, as well as continuing on-call consultation
with authors of the guide for communities who request it.
Standardized non-motorized traffic data are foundational to understanding nonmotorized traffic and safety patterns. This guidance has the potential to improve all study of nonmotorized traffic.
|Sponsoring Committee:||ANF20, Bicycle Transportation
|Research Period:||24 - 36 months|
|RNS Developer:||Krista Nordback, Sirisha Kothuri, Rebecca Sanders|
|Source Info:||Committee Members and friends: Krista Nordback, Sirisha Kothuri, Rebecca Sanders|
|Index Terms:||Nonmotorized transportation, Data files, Data quality, Data collection, Data analysis, Crash data, Travel behavior, Traffic data, Pedestrians, Cyclists, |
|Cosponsoring Committees:||ABJ35, Highway Traffic Monitoring; ANF10, Pedestrians|
Pedestrians and Bicyclists|
Data and Information Technology
Safety and Human Factors