The Resource A Model for Estimating Bike Lane Demand, by Aadarsh Vadakattu

A Model for Estimating Bike Lane Demand, by Aadarsh Vadakattu

Label
A Model for Estimating Bike Lane Demand
Title
A Model for Estimating Bike Lane Demand
Statement of responsibility
by Aadarsh Vadakattu
Creator
Contributor
Author
Degree supervisor
Subject
Genre
Language
eng
Summary
Unfortunately, bike-related accidents are very common. Some of these accidents can be deadly. Most of the times, these accidents happen due to the lack of a safer means of commute, a bike lane. Further, many citizens could potentially be cyclists if bike-lanes were installed. Driven by the idea of improving safety and convenience for cyclists, we contribute to a model that estimates bike-lane demand in the city. We argue that the demand for bike lanes increases, as the number of bike-related accidents increases. Further, the demand increases as the number of popular businesses increase, as some citizens commute to work and get around by bike. Our model estimates the demand for bike lane using accidents and ratings of businesses. The accidents are defined by the features that represent the severity as well as the cause of the accident. Our model uses the Weight of Evidence algorithm to determine the significance of the accident features. Further, the model uses an algorithm that breaks down roads into equally sized sections based on the US addressing standards. The final estimation of bike-lane demand is expressed via scores assigned to road sections. The finalized model correctly estimated high scores for road sections with more accidents and businesses and vice versa, determining the need of bike lanes
Cataloging source
UMK
http://library.link/vocab/creatorName
Vadakattu, Aadarsh
Degree
M.S.
Dissertation note
(School of Computing and Engineering).
Dissertation year
2019.
Granting institution
University of Missouri-Kansas City,
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Kuhail, Mohammad Amin
http://library.link/vocab/subjectName
Bicycle lanes
Label
A Model for Estimating Bike Lane Demand, by Aadarsh Vadakattu
Instantiates
Publication
Copyright
Note
  • "A thesis in Computer Science."
  • Advisor: Mohammad Amin Kuhail
  • Vita
Antecedent source
not applicable
Bibliography note
Includes bibliographical references (pages 29-32)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Background and related work -- A model for estimating bike lane demand -- results and evaluation -- Conclusion and future work
Control code
1104139792
Dimensions
unknown
Extent
1 online resource (33 pages)
File format
one file format
Form of item
online
Level of compression
mixed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Specific material designation
remote
System control number
(OCoLC)1104139792
System details
  • The full text of the thesis is available as an Adobe Acrobat .pdf file; Adobe Acrobat Reader required to view the file
  • Mode of access: World Wide Web
Label
A Model for Estimating Bike Lane Demand, by Aadarsh Vadakattu
Publication
Copyright
Note
  • "A thesis in Computer Science."
  • Advisor: Mohammad Amin Kuhail
  • Vita
Antecedent source
not applicable
Bibliography note
Includes bibliographical references (pages 29-32)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Background and related work -- A model for estimating bike lane demand -- results and evaluation -- Conclusion and future work
Control code
1104139792
Dimensions
unknown
Extent
1 online resource (33 pages)
File format
one file format
Form of item
online
Level of compression
mixed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Specific material designation
remote
System control number
(OCoLC)1104139792
System details
  • The full text of the thesis is available as an Adobe Acrobat .pdf file; Adobe Acrobat Reader required to view the file
  • Mode of access: World Wide Web

Library Locations

  • Health Sciences LibraryBorrow it
    2411 Holmes St, Kansas City, Kansas City, MO, 64108, US
    39.083418 -94.575323
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    800 E 51st St, Kansas City, MO, 64110, US
    39.034642 -94.576835
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    39.032488 -94.581967
  • Marr Sound ArchivesBorrow it
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  • Miller Nichols LibraryBorrow it
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    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
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