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Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization

Published: 11 February 2012 Publication History

Abstract

Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely on objective factors like time and distance; they do not consider subjective preferences that also influence route quality. This paper addresses that need. We introduce a new framework for evaluating edge rating prediction techniques in transportation networks and use it to explore ten families of prediction algorithms in Cyclopath, a geographic wiki that provides route finding services for bicyclists. Overall, we find that personalized algorithms predict more accurately than non-personalized ones, and we identify two algorithms with low error and excellent coverage, one of which is simple enough to be implemented in thin clients like web browsers. These results suggest that routing systems can generate better routes by collecting and analyzing users' subjective preferences.

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Cited By

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  • (2024)Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation SystemProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3691702(1073-1078)Online publication date: 8-Oct-2024
  • (2023)A personalized bikeability-based cycling route recommendation method with machine learningInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2023.103373121(103373)Online publication date: Jul-2023
  • (2022)Impact of Driving Behavior on Commuter’s Comfort During Cab Rides: Towards a New Perspective of Driver RatingACM Transactions on Intelligent Systems and Technology10.1145/352306313:6(1-25)Online publication date: 22-Sep-2022
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    cover image ACM Conferences
    CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
    February 2012
    1460 pages
    ISBN:9781450310864
    DOI:10.1145/2145204
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 11 February 2012

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    Author Tags

    1. geographic recommenders
    2. geowikis
    3. recommender systems
    4. route finding

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    February 11 - 15, 2012
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    CSCW '12 Paper Acceptance Rate 164 of 415 submissions, 40%;
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    Cited By

    View all
    • (2024)Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation SystemProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3691702(1073-1078)Online publication date: 8-Oct-2024
    • (2023)A personalized bikeability-based cycling route recommendation method with machine learningInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2023.103373121(103373)Online publication date: Jul-2023
    • (2022)Impact of Driving Behavior on Commuter’s Comfort During Cab Rides: Towards a New Perspective of Driver RatingACM Transactions on Intelligent Systems and Technology10.1145/352306313:6(1-25)Online publication date: 22-Sep-2022
    • (2020)Techniques to Visualize Occluded Graph Elements for 2.5D Map EditingExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382987(1-9)Online publication date: 25-Apr-2020
    • (2020)What Makes a Good Cargo Bike Route? Perspectives from Users and PlannersThe American Journal of Economics and Sociology10.1111/ajes.1233279:3(941-965)Online publication date: 22-Jul-2020
    • (2020)Expert Cyclist Route Planning: Hazards, Preferences, and Information SourcesHCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments10.1007/978-3-030-59987-4_16(221-235)Online publication date: 4-Nov-2020
    • (2019)Evaluating the Promise of Human-Algorithm Collaborations in Everyday Work PracticesProceedings of the ACM on Human-Computer Interaction10.1145/33592453:CSCW(1-23)Online publication date: 7-Nov-2019
    • (2019)Whose Walkability?Proceedings of the ACM on Human-Computer Interaction10.1145/33592283:CSCW(1-22)Online publication date: 7-Nov-2019
    • (2019)Good SystemsCompanion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3311957.3359437(461-467)Online publication date: 9-Nov-2019
    • (2018)Do Online Bicycle Routing Portals Adequately Address Prevalent Safety Concerns?Safety10.3390/safety40100094:1(9)Online publication date: 6-Mar-2018
    • Show More Cited By

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