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IEEE DOI
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bicycles
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DOI Link
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bicycles
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**An IMU-Driven Rider-on-Saddle Detection System for
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IEEE DOI
**1609**

Bicycles
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*IET-ITS(10)*, No. 2, 2016, pp. 79-88.

DOI Link
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Global Positioning System
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**Map-matching algorithm applied to bicycle global positioning system
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*IET-ITS(10)*, No. 4, 2016, pp. 244-250.

DOI Link
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Global Positioning System
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IEEE DOI
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Availability
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**Unveiling E-Bike Potential for Commuting Trips from GPS Traces**,

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DOI Link
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**Practical Multicriteria Urban Bicycle Routing**,

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IEEE DOI
**1703**

Approximation algorithms
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**Vehicle scheduling approach and its practice to optimise public bicycle
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*IET-ITS(12)*, No. 8, October 2018, pp. 976-985.

DOI Link
**1809**

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*Hao, Z.H.[Zhi-Hao]*,
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*IJGI(8)*, No. 3, 2019, pp. xx-yy.

DOI Link
**1903**

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**Mapping Frictions Inhibiting Bicycle Commuting**,

*IJGI(7)*, No. 10, 2018, pp. xx-yy.

DOI Link
**1811**

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**Bikeshare Pool Sizing for Bike-and-Ride Multimodal Transit**,

*ITS(19)*, No. 7, July 2018, pp. 2279-2289.

IEEE DOI
**1807**

Bicycles, Employment, Public transportation, Rail transportation,
Schedules, Sociology, Statistics, Bikeshare pool sizing, multimodal transit
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**A Simple Line Clustering Method for Spatial Analysis with
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*IJGI(7)*, No. 6, 2018, pp. xx-yy.

DOI Link
**1806**

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*Kang, J.[Jian]*,
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**Mining taxi trajectories for most suitable stations of sharing bikes to
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*IET-ITS(12)*, No. 7, September 2018, pp. 586-593.

DOI Link
**1808**

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*Frøyen, Y.[Yngve]*,
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**Bicycle Level of Service for Route Choice: A GIS Evaluation of Four
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*IJGI(8)*, No. 5, 2019, pp. xx-yy.

DOI Link
**1906**

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**Evaluating Urban Bicycle Infrastructures through Intersubjectivity of
Stress Sensations Derived from Physiological Measurements**,

*IJGI(8)*, No. 6, 2019, pp. xx-yy.

DOI Link
**1908**

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*Zhu, Y.[Yong]*,
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**Heuristic Bike Optimization Algorithm to Improve Usage Efficiency of
the Station-Free Bike Sharing System in Shenzhen, China**,

*IJGI(8)*, No. 5, 2019, pp. xx-yy.

DOI Link
**1906**

BibRef

*Lee, J.S.[Jin-Shyan]*,
*Jiang, J.W.[Jun-Wei]*,

**Enhanced fuzzy-logic-based power-assisted control with user-adaptive
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*IET-ITS(13)*, No. 10, October 2019, pp. 1492-1498.

DOI Link
**1909**

BibRef

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**A Context-Aware E-Bike System to Reduce Pollution Inhalation While
Cycling**,

*ITS(20)*, No. 2, February 2019, pp. 704-715.

IEEE DOI
**1902**

Sensors, Electric motors, Air pollution, Automobiles, Batteries,
Urban areas, Cyber-physics, pollution mitigation, pedelecs,
man-machine interaction
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*Huang, F.*,
*Qiao, S.*,
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**A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number
Prediction in a Bike-Sharing System**,

*ITS(20)*, No. 8, August 2019, pp. 2848-2857.

IEEE DOI
**1908**

Predictive models, Nonhomogeneous media, Meteorology,
Prediction algorithms, Public transportation, Neural networks,
time series prediction
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*Cheng, X.Q.[Xiao-Qian]*,
*Li, C.M.[Cheng-Ming]*,
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*Dai, Z.X.[Zhao-Xin]*,

**Trip Extraction of Shared Electric Bikes Based on
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*IJGI(8)*, No. 12, 2019, pp. xx-yy.

DOI Link
**1912**

BibRef

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**Fleet Size and Rebalancing Analysis of Dockless Bike-Sharing Stations
Based on Markov Chain**,

*IJGI(8)*, No. 8, 2019, pp. xx-yy.

DOI Link
**1909**

BibRef

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*Qiu, X.G.[Xiao-Gang]*,

**A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on
Points of Interest Clustering**,

*IJGI(8)*, No. 8, 2019, pp. xx-yy.

DOI Link
**1909**

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*Cho, S.H.[Shin-Hyung]*,
*Kho, S.Y.[Seung-Young]*,
*Kim, D.K.[Dong-Kyu]*,

**Bayesian models with spatial autocorrelation for bike sharing ridership
variability based on revealed preference GPS trajectory data**,

*IET-ITS(13)*, No. 11, November 2019, pp. 1658-1667.

DOI Link
**1911**

BibRef

*Cao, M.[Min]*,
*Ma, S.J.[Shang-Jing]*,
*Huang, M.X.[Meng-Xue]*,
*Lü, G.N.[Guo-Nian]*,
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**Effects of Free-Floating Shared Bicycles on Urban Public
Transportation**,

*IJGI(8)*, No. 8, 2019, pp. xx-yy.

DOI Link
**1909**

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*Zhao, X.F.[Xiao-Fei]*,
*Hu, C.Y.[Cai-Yi]*,
*Liu, Z.[Zhao]*,
*Meng, Y.Y.[Yang-Yang]*,

**Weighted Dynamic Time Warping for Grid-Based Travel-Demand-Pattern
Clustering: Case Study of Beijing Bicycle-Sharing System**,

*IJGI(8)*, No. 6, 2019, pp. xx-yy.

DOI Link
**1908**

BibRef

*Cao, M.[Min]*,
*Cai, B.Q.[Bo-Qin]*,
*Ma, S.J.[Shang-Jing]*,
*Lü, G.N.[Guo-Nian]*,
*Chen, M.[Min]*,

**Analysis of the Cycling Flow Between Origin and Destination for
Dockless Shared Bicycles Based on Singular Value Decomposition**,

*IJGI(8)*, No. 12, 2019, pp. xx-yy.

DOI Link
**1912**

BibRef

*Yang, Z.*,
*Chen, J.*,
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*Cheng, P.*,

**Mobility Modeling and Data-Driven Closed-Loop Prediction in
Bike-Sharing Systems**,

*ITS(20)*, No. 12, December 2019, pp. 4488-4499.

IEEE DOI
**2001**

Predictive models, Bicycles, Urban areas, Optimization, Meteorology,
Probabilistic logic, Bike-sharing, mobility modeling,
Monte Carlo simulation
BibRef

*Bao, J.[Jie]*,
*Yu, H.[Hao]*,
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**Short-term FFBS demand prediction with multi-source data in a hybrid
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*IET-ITS(13)*, No. 9, September 2019, pp. 1340-1347.

DOI Link
**1908**

Short-term demand of free-floating bike sharing.
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*Li, Z.H.[Zhi-Heng]*,
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**Placement optimisation for station-free bicycle-sharing under 1D
distribution assumption**,

*IET-ITS(14)*, No. 9, September 2020, pp. 1079-1086.

DOI Link
**2008**

BibRef

*Ren, Y.*,
*Zhao, F.*,
*Jin, H.*,
*Jiao, Z.*,
*Meng, L.*,
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*Sutherland, J.W.*,

**Rebalancing Bike Sharing Systems for Minimizing Depot Inventory and
Traveling Costs**,

*ITS(21)*, No. 9, September 2020, pp. 3871-3882.

IEEE DOI
**2008**

Bicycles, Routing, Mathematical model, Vehicle dynamics,
Mathematical programming, Biological system modeling,
mathematical programming
BibRef

*Chen, P.C.[Po-Chuan]*,
*Hsieh, H.Y.[He-Yen]*,
*Su, K.W.[Kuan-Wu]*,
*Sigalingging, X.K.[Xanno Kharis]*,
*Chen, Y.R.[Yan-Ru]*,
*Leu, J.S.[Jenq-Shiou]*,

**Predicting station level demand in a bike-sharing system using
recurrent neural networks**,

*IET-ITS(14)*, No. 6, June 2020, pp. 554-561.

DOI Link
**2005**

BibRef

*Ye, M.[Mao]*,
*Zeng, S.[Simeng]*,
*Yang, G.X.[Gui-Xin]*,
*Chen, Y.J.[Ya-Jing]*,

**Identification of contributing factors on travel mode choice among
different resident types with bike-sharing as an alternative**,

*IET-ITS(14)*, No. 7, July 2020, pp. 639-646.

DOI Link
**2006**

BibRef

*Hua, M.Z.[Ming-Zhuang]*,
*Chen, J.X.[Jing-Xu]*,
*Chen, X.[Xuewu]*,
*Gan, Z.X.[Zuo-Xian]*,
*Wang, P.F.[Peng-Fei]*,
*Zhao, D.[De]*,

**Forecasting usage and bike distribution of dockless bike-sharing using
journey data**,

*IET-ITS(14)*, No. 12, December 2020, pp. 1647-1656.

DOI Link
**2011**

BibRef

*Jin, X.T.[Xue-Ting]*,
*Tong, D.Q.[Dao-Qin]*,

**Station-Free Bike Rebalancing Analysis: Scale, Modeling, and
Computational Challenges**,

*IJGI(9)*, No. 11, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Cheng, X.Q.[Xiao-Qian]*,
*Du, W.B.[Wei-Bing]*,
*Li, C.M.[Cheng-Ming]*,
*Yang, L.K.[Lei-Ku]*,
*Xu, L.J.[Lin-Juan]*,

**Exploring the Attractiveness of Residential Areas for Human
Activities Based on Shared E-Bike Trajectory Data**,

*IJGI(9)*, No. 12, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Sathishkumar, V.E.*,
*Park, J.[Jangwoo]*,
*Cho, Y.Y.[Yong-Yun]*,

**Seoul bike trip duration prediction using data mining techniques**,

*IET-ITS(14)*, No. 11, November 2020, pp. 1465-1474.

DOI Link
**2010**

BibRef

*Albuquerque, V.[Vitória]*,
*Dias, M.S.[Miguel Sales]*,
*Bacao, F.[Fernando]*,

**Machine Learning Approaches to Bike-Sharing Systems:
A Systematic Literature Review**,

*IJGI(10)*, No. 2, 2021, pp. xx-yy.

DOI Link
**2103**

BibRef

*Gao, F.[Feng]*,
*Li, S.Y.[Shao-Ying]*,
*Tan, Z.Z.[Zhang-Zhi]*,
*Zhang, X.M.[Xiao-Ming]*,
*Lai, Z.P.[Zhi-Peng]*,
*Tan, Z.[Ziling]*,

**How Is Urban Greenness Spatially Associated with Dockless Bike
Sharing Usage on Weekdays, Weekends, and Holidays?**,

*IJGI(10)*, No. 4, 2021, pp. xx-yy.

DOI Link
**2104**

BibRef

*Fan, R.N.[Rui-Na]*,
*Ma, F.Q.[Fan-Qi]*,

**Bike-sharing systems with a dual selection mechanism and a dynamic
double-threshold repositioning policy**,

*IET-ITS(15)*, No. 5, 2021, pp. 712-725.

DOI Link
**2106**

BibRef

*Wang, W.[Wei]*,
*Zhao, X.F.[Xiao-Feng]*,
*Gong, Z.G.[Zhi-Guo]*,
*Chen, Z.K.[Zhi-Kui]*,
*Zhang, N.[Ning]*,
*Wei, W.[Wei]*,

**An Attention-Based Deep Learning Framework for Trip Destination
Prediction of Sharing Bike**,

*ITS(22)*, No. 7, July 2021, pp. 4601-4610.

IEEE DOI
**2107**

Machine learning, Task analysis, Neural networks, Smart cities,
Convolution, Predictive models, Internet of Things,
attention model
BibRef

*Borowska-Stefanska, M.[Marta]*,
*Mikusova, M.[Miroslava]*,
*Kowalski, M.[Michal]*,
*Kurzyk, P.[Paulina]*,
*Wisniewski, S.[Szymon]*,

**Changes in Urban Mobility Related to the Public Bike System with
Regard to Weather Conditions and Statutory Retail Restrictions**,

*RS(13)*, No. 18, 2021, pp. xx-yy.

DOI Link
**2109**

BibRef

*Bahadori, M.S.[Mohammad Sadegh]*,
*Gonçalves, A.B.[Alexandre B.]*,
*Moura, F.[Filipe]*,

**A Systematic Review of Station Location Techniques for
Bicycle-Sharing Systems Planning and Operation**,

*IJGI(10)*, No. 8, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

*Zhang, X.Y.[Xiao-Yi]*,
*Chen, Y.[Yurong]*,
*Zhong, Y.[Yang]*,

**Spatial and Temporal Characteristic Analysis of Imbalance Usage in
the Hangzhou Public Bicycle System**,

*IJGI(10)*, No. 10, 2021, pp. xx-yy.

DOI Link
**2110**

BibRef

*Chen, L.J.[Li-Jun]*,
*Zhang, H.P.[Hai-Ping]*,
*Wang, H.R.[Hao-Ran]*,
*Wu, P.[Peng]*,

**Understanding Plum Rain's Effects on Urban Public Bicycle
Unavailability Considering Both Place Semantics and Riding Distance**,

*IJGI(10)*, No. 10, 2021, pp. xx-yy.

DOI Link
**2110**

BibRef

*Lee, J.[Jiwon]*,
*Yu, K.[Kiyun]*,
*Kim, J.Y.[Ji-Young]*,

**Public Bike Trip Purpose Inference Using Point-of-Interest Data**,

*IJGI(10)*, No. 5, 2021, pp. xx-yy.

DOI Link
**2106**

BibRef

*Jiang, G.Y.[Guan-Ying]*,
*Zhang, R.H.[Rong-Hui]*,
*Qu, X.B.[Xiao-Bo]*,
*Zhao, D.Z.[De-Zong]*,

**A Dynamic Model Averaging for the Discovery of Time-Varying
Weather-Cycling Patterns**,

*ITS(22)*, No. 5, May 2021, pp. 2786-2796.

IEEE DOI
**2105**

Weather impacts cyclists. Scheduling bike trips.
Predictive models, Production, Weather forecasting, Urban areas,
Wind speed, Intelligent transportation systems.
BibRef

*Capodici, A.E.[Alessandro Emilio]*,
*d'Orso, G.[Gabriele]*,
*Migliore, M.[Marco]*,

**A GIS-Based Methodology for Evaluating the Increase in Multimodal
Transport between Bicycle and Rail Transport Systems. A Case Study in
Palermo**,

*IJGI(10)*, No. 5, 2021, pp. xx-yy.

DOI Link
**2106**

BibRef

*Phithakkitnukooon, S.[Santi]*,
*Patanukhom, K.[Karn]*,
*Demissie, M.G.[Merkebe Getachew]*,

**Predicting Spatiotemporal Demand of Dockless E-Scooter Sharing
Services with a Masked Fully Convolutional Network**,

*IJGI(10)*, No. 11, 2021, pp. xx-yy.

DOI Link
**2112**

BibRef

*Chen, L.J.[Li-Jun]*,
*Jiang, S.J.[Shang-Jing]*,

**Spatiotemporal Polyrhythm Characteristics of Public Bicycle Mobility
in Urban Chronotopes Context**,

*IJGI(11)*, No. 1, 2022, pp. xx-yy.

DOI Link
**2201**

BibRef

*Lock, O.[Oliver]*,
*Pettit, C.[Christopher]*,

**Developing Participatory Analytics Techniques to Inform the
Prioritisation of Cycling Infrastructure**,

*IJGI(11)*, No. 2, 2022, pp. xx-yy.

DOI Link
**2202**

BibRef

*Jiang, M.[Mingda]*,
*Li, C.[Chao]*,
*Li, K.[Kehan]*,
*Liu, H.[Hao]*,

**Destination Prediction Based on Virtual POI Docks in Dockless
Bike-Sharing System**,

*ITS(23)*, No. 3, March 2022, pp. 2457-2470.

IEEE DOI
**2203**

Legged locomotion, Probabilistic logic, Roads,
Global Positioning System, Feature extraction, Buildings,
virtual dock
BibRef

*Walker, J.[Jeremy]*,
*Poliziani, C.[Cristian]*,
*Tortora, C.[Cristina]*,
*Schweizer, J.[Joerg]*,
*Rupi, F.[Federico]*,

**Nonparametric Regression Analysis of Cyclist Waiting Times across
Three Behavioral Typologies**,

*IJGI(11)*, No. 3, 2022, pp. xx-yy.

DOI Link
**2204**

BibRef

*Chen, X.[Xian]*,
*Jiang, H.[Hai]*,

**Detecting the Demand Changes of Bike Sharing:
A Bayesian Hierarchical Approach**,

*ITS(23)*, No. 5, May 2022, pp. 3969-3984.

IEEE DOI
**2205**

Hidden Markov models, Bayes methods, Linear regression,
Numerical models, Indexes, Data models, Timing,
Bayesian hierarchical models
BibRef

*Kondor, D.[Dániel]*,
*Zhang, X.[Xiaohu]*,
*Meghjani, M.[Malika]*,
*Santi, P.[Paolo]*,
*Zhao, J.H.[Jin-Hua]*,
*Ratti, C.[Carlo]*,

**Estimating the Potential for Shared Autonomous Scooters**,

*ITS(23)*, No. 5, May 2022, pp. 4651-4662.

IEEE DOI
**2205**

Motorcycles, Transportation, Bicycles, Urban areas,
Autonomous vehicles, Uncertainty, Propulsion, Autonomous vehicles,
first- and last-mile transportation
BibRef

*Kim, K.[Kyoungok]*,

**Spatial Contiguity-Constrained Hierarchical Clustering for Traffic
Prediction in Bike Sharing Systems**,

*ITS(23)*, No. 6, June 2022, pp. 5754-5764.

IEEE DOI
**2206**

Clustering algorithms, Prediction algorithms, Predictive models,
Heuristic algorithms, Convergence, Clustering methods,
random forest
BibRef

*Li, X.Y.[Xin-Yu]*,
*Xu, Y.[Yang]*,
*Chen, Q.[Qi]*,
*Wang, L.[Lei]*,
*Zhang, X.[Xiaohu]*,
*Shi, W.Z.[Wen-Zhong]*,

**Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A
Spatial-Temporal Memory Network**,

*ITS(23)*, No. 8, August 2022, pp. 10923-10934.

IEEE DOI
**2208**

Bicycles, Deep learning, Predictive models, Urban areas,
Feature extraction, Convolution, Task analysis, Bike sharing,
shared mobility
BibRef

*Wang, J.[Junheng]*,
*Li, F.[Fan]*,
*Yang, S.[Song]*,
*Li, Y.Q.[You-Qi]*,
*Wang, Y.[Yu]*,

**A Real-Time Bike Trip Planning Policy With Self-Organizing Bike
Redistribution**,

*ITS(23)*, No. 8, August 2022, pp. 10646-10661.

IEEE DOI
**2208**

Real-time systems, Planning, Routing, Prediction methods,
Optimization, Legged locomotion, Fans, Bike trip planning,
queueing
BibRef

*Xiao, X.[Xiao]*,
*Zhang, Y.L.[Yun-Long]*,
*Yang, S.[Shu]*,
*Kong, X.Q.[Xiao-Qiang]*,

**Efficient Missing Counts Imputation of a Bike-Sharing System by
Generative Adversarial Network**,

*ITS(23)*, No. 8, August 2022, pp. 13443-13451.

IEEE DOI
**2208**

Generative adversarial networks, Transportation, Neural networks,
Training, Planning, Traffic control, Memory, Traffic data imputation,
generative adversarial network
BibRef

*Ashqar, H.I.[Huthaifa I.]*,
*Elhenawy, M.[Mohammed]*,
*Rakha, H.A.[Hesham A.]*,
*House, L.[Leanna]*,

**Quality of Service Measure for Bike Sharing Systems**,

*ITS(23)*, No. 9, September 2022, pp. 15841-15849.

IEEE DOI
**2209**

Quality of service, Pollution measurement, Bicycles,
Area measurement, Sociology, Stochastic processes,
urban computing
BibRef

*Hu, L.[Lujin]*,
*Wen, Z.[Zheng]*,
*Wang, J.[Jian]*,
*Hu, J.[Jing]*,

**Spatial Interaction Analysis of Shared Bicycles Mobility Regularity
and Determinants: A Case Study of Six Main Districts, Beijing**,

*IJGI(11)*, No. 9, 2022, pp. xx-yy.

DOI Link
**2209**

BibRef

*Chen, X.[Xian]*,
*Huang, K.[Kun]*,
*Jiang, H.[Hai]*,

**Detecting Changes in the Spatiotemporal Pattern of Bike Sharing: A
Change-Point Topic Model**,

*ITS(23)*, No. 10, October 2022, pp. 18361-18377.

IEEE DOI
**2210**

Spatiotemporal phenomena, Hidden Markov models,
Pattern recognition, Transportation, Time series analysis, Tensors, topic models
BibRef

*Zhang, J.H.[Jian-Hui]*,
*Zhang, W.Q.[Wan-Qing]*,
*Wang, J.C.[Jia-Cheng]*,
*Feng, J.W.[Jian-Wen]*,
*Gao, Z.G.[Zhi-Gang]*,
*Zheng, S.[Siwen]*,

**Rechargeable Battery Cabinet Deployment for Public Bike System**,

*ITS(23)*, No. 11, November 2022, pp. 20309-20322.

IEEE DOI
**2212**

Urban areas, Batteries, Feature extraction, Quality of service,
Public transportation, Genetic algorithms, Mathematical models,
city voronoi diagram
BibRef

*Zhu, Z.[Zheng]*,
*Xu, M.[Meng]*,
*Di, Y.[Yining]*,
*Yang, H.[Hai]*,

**Fitting Spatial-Temporal Data via a Physics Regularized Multi-Output
Grid Gaussian Process: Case Studies of a Bike-Sharing System**,

*ITS(23)*, No. 11, November 2022, pp. 21090-21101.

IEEE DOI
**2212**

Transportation, Computational modeling, Predictive models, Physics,
Data models, Task analysis, Deep learning,
bike-sharing
BibRef

*Chao, S.[Sun]*,
*Jian, L.[Lu]*,

**Modelling Bottlenecks of Bike-Sharing Travel Using the Distinction
between Endogenous and Exogenous Demand: A Case Study in Beijing**,

*IJGI(11)*, No. 11, 2022, pp. xx-yy.

DOI Link
**2212**

BibRef

*Li, X.Y.[Xiang-Yu]*,
*Sinniah, G.K.[Gobi Krishna]*,
*Li, R.[Ruiwei]*,
*Li, X.Q.[Xiao-Qing]*,

**Correlation between Land Use Pattern and Urban Rail Ridership Based
on Bicycle-Sharing Trajectory**,

*IJGI(11)*, No. 12, 2022, pp. xx-yy.

DOI Link
**2301**

BibRef

*Xin, R.[Rui]*,
*Ding, L.F.[Lin-Fang]*,
*Ai, B.[Bo]*,
*Yang, M.[Min]*,
*Zhu, R.[Ruoxin]*,
*Cao, B.[Bin]*,
*Meng, L.Q.[Li-Qiu]*,

**Geospatial Network Analysis and Origin-Destination Clustering of
Bike-Sharing Activities during the COVID-19 Pandemic**,

*IJGI(12)*, No. 1, 2023, pp. xx-yy.

DOI Link
**2301**

BibRef

*Monteiro, J.[João]*,
*Sousa, N.[Nuno]*,
*Natividade-Jesus, E.[Eduardo]*,
*Coutinho-Rodrigues, J.[João]*,

**The Potential Impact of Cycling on Urban Transport Energy and Modal
Share: A GIS-Based Methodology**,

*IJGI(12)*, No. 2, 2023, pp. xx-yy.

DOI Link
**2303**

BibRef

*Lee, S.H.[Shih-Hsiung]*,
*Ku, H.C.[Hsuan-Chih]*,

**A Dual Attention-Based Recurrent Neural Network for Short-Term Bike
Sharing Usage Demand Prediction**,

*ITS(24)*, No. 4, April 2023, pp. 4621-4630.

IEEE DOI
**2304**

Bicycles, Trajectory, Predictive models, Feature extraction,
Correlation, Time series analysis, Market research,
short-term bike sharing usage demand prediction
BibRef

*Wu, H.[Hao]*,
*Wang, Y.H.[Yan-Hui]*,
*Sun, Y.Q.[Yu-Qing]*,
*Yin, D.D.[Duo-Duo]*,
*Li, Z.X.[Zhan-Xing]*,
*Luo, X.Y.[Xiao-Yue]*,

**Identification and Spatiotemporal Analysis of Bikesharing-Metro
Integration Cycling**,

*IJGI(12)*, No. 4, 2023, pp. 166.

DOI Link
**2305**

BibRef

*Li, L.Q.[Ling-Qiao]*,
*Wang, X.[Xiangkai]*,
*Yang, M.Y.[Meng-Yu]*,
*Zhang, H.W.[Hong-Wei]*,

**An accurate shared bicycle detection network based on faster R-CNN**,

*IET-IPR(17)*, No. 6, 2023, pp. 1919-1930.

DOI Link
**2305**

deformable convolution, feature fusion,
object detection application, shared bicycle management
BibRef

*Wei, Z.H.[Zhong-Hua]*,
*Wang, M.Q.[Ming-Qian]*,
*Wang, S.[Shaofan]*,

**A worker-and-system trade-off model for rebalancing free-float bike
sharing systems: A mixed rebalancing strategy**,

*IET-ITS(17)*, No. 5, 2023, pp. 1037-1050.

DOI Link
**2305**

augmented Lagrange method, bike sharing system,
Bureau of Public Roads function, rebalancing problem
BibRef

DOI Link

BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in

Transit Traffic Analysis, Public Transit, Bus .

Last update:Jun 1, 2023 at 10:05:03