research-article

Bike sharing station placement leveraging heterogeneous urban open data

Authors:

Kostadin Kushlev,

Wangsheng Zhang,

Shijian LiAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 571 - 575

https://doi.org/10.1145/2750858.2804291

Published: 07 September 2015 Publication History

Abstract

Bike sharing systems have been deployed in many cities to promote green transportation and a healthy lifestyle. One of the key factors for maximizing the utility of such systems is placing bike stations at locations that can best meet users' trip demand. Traditionally, urban planners rely on dedicated surveys to understand the local bike trip demand, which is costly in time and labor, especially when they need to compare many possible places. In this paper, we formulate the bike station placement issue as a bike trip demand prediction problem. We propose a semi-supervised feature selection method to extract customized features from the highly variant, heterogeneous urban open data to predict bike trip demand. Evaluation using real-world open data from Washington, D.C. and Hangzhou shows that our method can be applied to different cities to effectively recommend places with higher potential bike trip demand for placing future bike stations.

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Cited By

Volakakis VMahmassani H(2024)Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air MobilityInfrastructures10.3390/infrastructures91202399:12(239)Online publication date: 23-Dec-2024
https://doi.org/10.3390/infrastructures9120239
Li PChang YWei MHsieh H(2024)Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable ModelACM Transactions on Management Information Systems10.1145/365647915:2(1-26)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3656479
Li XZhao XWang YLiu YChen CLong CZhang YXing CHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)OpenSiteRec: An Open Dataset for Site RecommendationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657875(1483-1493)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657875
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Index Terms

Bike sharing station placement leveraging heterogeneous urban open data
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Social and professional topics
  1. Professional topics
    1. Computing and business

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cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

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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Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Volakakis VMahmassani H(2024)Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air MobilityInfrastructures10.3390/infrastructures91202399:12(239)Online publication date: 23-Dec-2024
https://doi.org/10.3390/infrastructures9120239
Li PChang YWei MHsieh H(2024)Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable ModelACM Transactions on Management Information Systems10.1145/365647915:2(1-26)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3656479
Li XZhao XWang YLiu YChen CLong CZhang YXing CHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)OpenSiteRec: An Open Dataset for Site RecommendationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657875(1483-1493)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657875
Li XZhao XWang ZDuan YZhang YXing CHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Optimal Transport Enhanced Cross-City Site RecommendationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657757(1441-1451)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657757
Cueva FShi PCedillo P(2024)Designing Bike-Sharing Systems Supported by Data: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2023.333723512(162731-162754)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3337235
Salas LAdkins A(2024)Standardizing Vehicle Travel Speed Data for Road SafetyProceedings of the Association for Information Science and Technology10.1002/pra2.103161:1(326-336)Online publication date: 15-Oct-2024
https://dl.acm.org/doi/10.1002/pra2.1031
Wang WYang SZhang W(2023)Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple ModalitiesACM Transactions on Intelligent Systems and Technology10.1145/357982614:3(1-16)Online publication date: 24-Mar-2023
https://dl.acm.org/doi/10.1145/3579826
Chen DSakai K(2023)A User-Based Bike Return Algorithm for Docked Bike Sharing SystemsWorkshop Proceedings of the 51st International Conference on Parallel Processing10.1145/3547276.3548443(1-8)Online publication date: 13-Jan-2023
https://doi.org/10.1145/3547276.3548443
Zhu HShou TGuo RJiang ZWang ZWang ZYu ZZhang WWang CChen L(2023)RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2022.314597922:7(4236-4252)Online publication date: 1-Jul-2023
https://doi.org/10.1109/TMC.2022.3145979
Wang SZhu XWang GLiu YHe TZhang D(2023)eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and MaintenanceIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.325372535:10(10497-10513)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TKDE.2023.3253725
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