Bloor Street Bike Lanes Feedback Survey
Datasets available for download
Additional Info
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Last Updated | October 4, 2024, 04:49 (UTC) |
Created | October 4, 2024, 02:38 (UTC) |
Domain / Topic
Domain or topic of the dataset being cataloged.
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City government,Development and infrastructure,Transportation |
Description
A description of the dataset.
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Results of the Bloor Street Bike Lanes Feedback Survey #2, which was online for public input from December 13, 2016 to May 4, 2017, and received 14,078 completed responses. In late August 2016, the City of Toronto installed bike lanes on Bloor Street West between Shaw Street (east of Ossington Avenue) and Avenue Road. The bike lanes were a pilot project to be monitored and evaluated for at least one year. Results will be reported to Council with recommendations on whether the pilot bike lanes should be maintained, modified, or removed. This online feedback survey is a key part of the evaluation that recorded public perception of the bike lanes and their impacts and benefits to all street users, local businesses, and the community. This survey is not a vote. Public and stakeholders opinions, along with technical and policy considerations will all be used to inform City staff recommendations and decisions to be made by City Council. Respondents could choose to just do the "Short Answer" to record their level of support for the project and then skip to the last page, or to do additional optional questions. The full survey included multiple questions about issues based on recorded stakeholder type (e.g. only respondents who checked "Bicycle" in mode of travel question (Q5) saw the optional questions related to cycling perspective, and the same for drivers and business representatives). The survey was available in English and Korean. A small number of survey responses (less than a dozen) were received on paper or by phone, and entered in by City staff. The data published here includes completed surveys only, i.e. respondents answered the required stakeholder type questions (Q1 & Q5) and key "Short Answer" opinion questions (Q6-8), and clicked "submit" on the last page. To protect for privacy, open ended text answers have not been included in this open data set, except for the first three digits of postal code. Businesses name and address responses are not included in results table, but are provided in a separate "List of Participating Businesses" spreadsheet independent of the opinions recorded. The results include some additional columns of categorization and cleaning of data based on analysis by Public Consultation Unit staff. This included confirmation and cleaning of business address, ensuring people with disabilities were effectively counted (under [q5_trvl] Mobility Aid), added "Uber" to the "taxi" category, based on responses to Q5 "other" category, and added a "local" column for "residents" within postal codes M5R, M5S & M6G and "businesses" within 100m of the bike lane. Further explanation in the readme file and available on request. |
Tags
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.pdf - application/pdf, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2019-07-23 |
Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence – Toronto |
Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.toronto.ca/dataset/bloor-street-bike-lanes-feedback-survey |
Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Transportation Services, jason.diceman@toronto.ca |
Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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jason.diceman@toronto.ca |
Author
Author of the dataset.
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jason.diceman@toronto.ca |
Author Email
Email of the author.
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jason.diceman@toronto.ca |
Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Source
Source of the dataset.
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http://www.toronto.ca/bloorbikelanes |
Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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