A graded cluster system to mine virtual stations in free-floating bike-sharing system on multi-scale geographic view
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[1] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[2] Eren Özceylan,et al. A GIS-based MCDM approach for the evaluation of bike-share stations , 2018, Journal of Cleaner Production.
[3] W. Y. Szeto,et al. A hybrid large neighborhood search for the static multi-vehicle bike-repositioning problem , 2017 .
[4] B. Giles-Corti,et al. The relationship between destination proximity, destination mix and physical activity behaviors. , 2008, Preventive medicine.
[5] Wafic El-Assi,et al. Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto , 2017 .
[6] Gilbert Laporte,et al. The static bicycle relocation problem with demand intervals , 2014, Eur. J. Oper. Res..
[7] Kyoungok Kim,et al. Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations , 2018 .
[8] Tien Dung Tran,et al. Modeling Bike Sharing System using Built Environment Factors , 2015 .
[9] K. Krizek. Operationalizing Neighborhood Accessibility for Land Use-Travel Behavior Research and Regional Modeling , 2003 .
[10] Alan T. Murray,et al. Excess Commuting and the Modifiable Areal Unit Problem , 2002 .
[11] Yongping Zhang,et al. Environmental benefits of bike sharing: A big data-based analysis , 2018, Applied Energy.
[12] Federico Chiariotti,et al. A Dynamic Approach to Rebalancing Bike-Sharing Systems , 2018, Sensors.
[13] Elise Miller-Hooks,et al. Large-Scale Vehicle Sharing Systems: Analysis of Vélib' , 2013 .
[14] Darren M. Scott,et al. Understanding bike share cyclist route choice using GPS data: Comparing dominant routes and shortest paths , 2018, Journal of Transport Geography.
[15] W. Y. Szeto,et al. Chemical reaction optimization for solving a static bike repositioning problem , 2016 .
[16] Liang Zhao,et al. Data clustering using controlled consensus in complex networks , 2013, Neurocomputing.
[17] Satish V. Ukkusuri,et al. An Algorithm for the One Commodity Pickup and Delivery Traveling Salesman Problem with Restricted Depot , 2016 .
[18] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[19] W. Y. Szeto,et al. The rebalancing of bike-sharing system under flow-type task window , 2020 .
[20] Jun Zhang,et al. Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China , 2015 .
[21] Vipin Kumar,et al. Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.
[22] W. Y. Szeto,et al. A modeling framework for the dynamic management of free-floating bike-sharing systems , 2018 .
[23] T. C. Chou,et al. A Geo-Aware and VRP-Based Public Bicycle Redistribution System , 2012 .
[24] Alexis J. Comber,et al. A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile , 2019, Comput. Environ. Urban Syst..
[25] Guangdong Wu,et al. Critical Factors to Achieve Dockless Bike-Sharing Sustainability in China: A Stakeholder-Oriented Network Perspective , 2018, Sustainability.
[26] David Manley,et al. Scales, levels and processes: Studying spatial patterns of British census variables , 2006, Comput. Environ. Urban Syst..
[27] Brian W. Baetz,et al. Using GIS for Evaluation of Neighborhood Pedestrian Accessibility , 1997 .
[28] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[29] Ming Zhang,et al. Metrics of Urban Form and the Modifiable Areal Unit Problem , 2005 .
[30] Wei Chen,et al. A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system , 2018, Neural Computing and Applications.
[31] Robert C. Hampshire,et al. Inventory rebalancing and vehicle routing in bike sharing systems , 2017, Eur. J. Oper. Res..
[32] W. Y. Szeto,et al. A multiple type bike repositioning problem , 2016 .
[33] Farhad Atash,et al. Redesigning Suburbia for Walking and Transit: Emerging Concepts , 1994 .
[34] Karim Labadi,et al. A branch-and-bound algorithm for solving the static rebalancing problem in bicycle-sharing systems , 2016, Comput. Ind. Eng..
[35] Iris A. Forma,et al. A 3-step math heuristic for the static repositioning problem in bike-sharing systems , 2015 .
[36] Gulsah Akar,et al. Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share , 2018, Transportation Research Part A: Policy and Practice.
[37] J. Jiao,et al. Promoting public bike-sharing: A lesson from the unsuccessful Pronto system. , 2018, Transportation research. Part D, Transport and environment.
[38] P. Midgley. The role of smart bike-sharing systems in urban mobility , 2009 .
[39] Jennifer L. Dungan,et al. A balanced view of scale in spatial statistical analysis , 2002 .
[40] Xiaoming Yuan,et al. A proximal point algorithm revisit on the alternating direction method of multipliers , 2013 .
[41] Francesco Pinna,et al. Cagliari and smart urban mobility: Analysis and comparison , 2016 .
[42] Peng-Sheng You,et al. A two-phase heuristic approach to the bike repositioning problem , 2019, Applied Mathematical Modelling.
[43] Joseph Warrington,et al. Two-stage stochastic approximation for dynamic rebalancing of shared mobility systems , 2018, Transportation Research Part C: Emerging Technologies.
[44] Christine M. Hoehner,et al. Perceived and objective environmental measures and physical activity among urban adults. , 2005, American journal of preventive medicine.
[45] F. Bull,et al. Developing a framework for assessment of the environmental determinants of walking and cycling. , 2003, Social science & medicine.
[46] Zihan Hong,et al. Hybrid cluster-regression approach to model bikeshare station usage , 2017, Transportation Research Part A: Policy and Practice.
[47] H. Stanley,et al. Robustness of network of networks under targeted attack. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[48] Rosa Maria Dangelico,et al. “Green Marketing”: An analysis of definitions, strategy steps, and tools through a systematic review of the literature , 2017 .
[49] Henry Y. K. Lau,et al. A time-space network flow approach to dynamic repositioning in bicycle sharing systems , 2017 .
[50] Frédéric Meunier,et al. Bike sharing systems: Solving the static rebalancing problem , 2013, Discret. Optim..
[51] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[52] Lixin Tian,et al. Resilience of networks with community structure behaves as if under an external field , 2018, Proceedings of the National Academy of Sciences.
[53] Ezgi Eren,et al. A review on bike-sharing: The factors affecting bike-sharing demand , 2020 .
[54] Jun Hu,et al. A strategic repositioning algorithm for bicycle-sharing schemes , 2014 .
[55] C. E. Gehlke,et al. Certain Effects of Grouping upon the Size of the Correlation Coefficient in Census Tract Material , 1934 .
[56] Weihong Guo,et al. Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance , 2020 .
[57] Jan Brinkmann,et al. Dynamic Lookahead Policies for Stochastic-Dynamic Inventory Routing in Bike Sharing Systems , 2019, Comput. Oper. Res..
[58] S. Washington,et al. Barriers to bikesharing : an analysis from Melbourne and Brisbane , 2014 .
[59] Robert B. Noland,et al. Bikeshare Trip Generation in New York City , 2016 .
[60] Jennifer Dill,et al. Factors Affecting Bicycling Demand , 2007 .
[61] Xiaohu Zhang,et al. Understanding the usage of dockless bike sharing in Singapore , 2018 .
[62] Santo Fortunato,et al. Community detection in networks: A user guide , 2016, ArXiv.
[63] Boniphace Kutela,et al. Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration , 2017 .
[64] Ritsuko Ozaki,et al. Pro‐environmental products: marketing influence on consumer purchase decision , 2008 .
[65] Alexander Zipf,et al. A local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multiscale datasets , 2015, Int. J. Geogr. Inf. Sci..
[66] Xuewu Chen,et al. Estimating the parking demand of free-floating bike sharing: A journey-data-based study of Nanjing, China , 2020, Journal of Cleaner Production.
[67] Thomas F. Thornton,et al. Challenges of collaborative governance in the sharing economy: The case of free-floating bike sharing in Shanghai , 2018, Journal of Cleaner Production.
[68] Xingle Long,et al. Determinants of intention and behavior of low carbon commuting through bicycle-sharing in China , 2019, Journal of Cleaner Production.
[69] Robert J. Schneider,et al. Pilot Models for Estimating Bicycle Intersection Volumes , 2011 .
[70] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[71] W. Y. Szeto,et al. Solving a static repositioning problem in bike-sharing systems using iterated tabu search , 2014 .
[72] Kees Maat,et al. Commuting by Bicycle: An Overview of the Literature , 2010 .
[73] R. Alexander Rixey,et al. Station-Level Forecasting of Bikesharing Ridership , 2013 .
[74] W. Y. Szeto,et al. Dynamic green bike repositioning problem – A hybrid rolling horizon artificial bee colony algorithm approach , 2017 .
[75] Luca Bertolini,et al. Land use and public transport integration in small cities and towns: Assessment methodology and application , 2019, Journal of Transport Geography.
[76] A. Jusoh,et al. Important Motivators for Buying Green Products , 2014 .
[77] Jia-zhen Huo,et al. Sustainable co-governance of smart bike-sharing schemes based on consumers’ perspective , 2020 .