Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories

Li, Wenwen; Wang, Shaohua; Zhang, Xiaoyi; Jia, Qiu Fang; Tian, Yuanyuan

doi:10.1080/13658816.2020.1712401

Cited by 53 publications

(20 citation statements)

References 65 publications

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“…Our review suggests that with the exception of a few works (Itoh et al, 2016;Li, Wang et al, 2020;Ni et al, 2017;Van den Berg et al, 2018;Xavier & Dodge, 2014;Zhang et al, 2014), of which five are located in the exploratory visualization group (see Figure 8), the focus of most visualizations is on movement and its patterns rather than conveying information about the relationships between movement and its context. It is important to integrate more context parameters in the multivariate representation of movement to contextualize observed patterns and explore associations between context and movement parameters.…”

Section: Trends In Mapping Movement Contextmentioning

confidence: 94%

Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics

Dodge

Noi

2021

Cartography and Geographic Information Science

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This paper argues for a "human-centered" approach to knowledge discovery from movement data through the use of visualization and mapping. As movement data becomes more available and diverse in dimension and resolution, mapping becomes particularly important in the exploratory analysis of movement trajectories and for capturing patterns and structures in large origindestination flow data sets. Movement phenomena (e.g. ranging from micro-movements of humans and animals to macro-level mobility, to migration flows, to spread of viruses) are complex dynamic processes which are realized in a multidimensional location-time-context space. This paper provides a comprehensive overview of various visualization techniques for mapping movement through the lens of cartography and with a special focus on the "human user" (e.g. data scientist, analyst, domain expert, etc.). We systematically characterize and categorize available techniques based on their visual specifications and functional capacities for human control, map-interaction, and design flexibility. These elements are beneficial to enhance the user's capacities for map reasoning and knowledge discovery. Trends and gaps in the literature on movement visualization over the past 10 years are discussed. Our review suggests that future research should focus more on the role of the "human" in the development of human-centered visual analytic and exploratory tools, while providing functionalities for mapping uncertainty and protecting individual privacy in knowledge discovery of movement. These tools should be guided by a cartographic framework and visual principles specifically pertinent to movement.

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Section: Trends In Mapping Movement Contextmentioning

confidence: 94%

Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics

Dodge

Noi

2021

Cartography and Geographic Information Science

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“…With this scheme, trucks can pass through stations in an orderly manner and finally return to the center. In this situation, the bike-sharing system could meet the needs from users as much as possible and improve the service of bike-sharing system [28,29]. Moreover, the cost of rebalancing bikesharing system must be taken into account, so that the running distance by the trucks is the shortest or the total time spent is the least.…”

Section: Model Constructionmentioning

confidence: 99%

Rebalancing Strategy for Bike-Sharing Systems Based on the Model of Level of Detail

Huang

Zhang³

et al. 2021

Journal of Advanced Transportation

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Traveling by bike-sharing systems has become an indispensable means of transportation in our daily lives because green commuting has gradually become a consensus and conscious action. However, the problem of “difficult to rent or to return a bike” has gradually become an issue in operating the bike-sharing system. Moreover, scientific and systematic schemes that can efficiently complete the task of rebalancing bike-sharing systems are lacking. This study aims to introduce the basic idea of the k-divisive hierarchical clustering algorithm. A rebalancing strategy based on the model of level of detail in combination with genetic algorithm was proposed. Data were collected from the bike-sharing system in Ningbo. Results showed that the proposed algorithm could alleviate the problem of the uneven distribution of the demand for renting or returning bikes and effectively improve the service from the bike-sharing system. Compared with the traditional method, this algorithm helps reduce the effective time for rebalancing bike-sharing systems by 28.3%. Therefore, it is an effective rebalancing scheme.

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“…GPS data of vehicle trajectories are hence called floating‐car data . GIS researchers develop map‐matching algorithms to adjust GPS points to road networks using topological analysis of road networks, probabilistic theory, Kalman filter, fuzzy logic, and belief theory (Duan et al ., 2020; Li et al ., 2020).…”

Section: Four Kinds Of Tension Triggering Big Geographic Questionsmentioning

confidence: 99%

GIS research to address tensions in geography

Yuan

2020

Singap J Trop Geogr

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The rise of Geographic Information Systems (GIS) technologies has been producing powerful tools for spatial data processing, management, analysis, modeling, and visualization. While supporting many tasks, GIS technologies have evoked new thinking and advanced intellectual inquiries in geography. Technological advances in other fields often stimulate new research questions and lead to revolutionary discoveries. The Hubble telescope revolutionizes our understanding of the universe, and 3D digital microscopes transform our knowledge of the coordination among biological, neurological, and physiological systems in living organisms. Can GIS claim similar revolutionary effects on geography? The answer is much up for debate. With GIS technologies, geographic studies can explore a broader extent across multiple scales in space and time and tackle problems through increasingly complex spatial statistics, visual analytics, computation, simulation, machine learning, and artificial intelligence. Both the Hubble telescope and 3D digital microscope were built based on scientific research that subserves the technological advances for inquiries into space and life systems. Likewise, GIScience research innovates GIS methods that enable novel geographic investigations and therefore contribute to geographic knowledge production. For the sake of simplicity, the term GIS used here represents both GIScience and GIS technologies. This essay attempts to clarify the intellectual contributions of GIS to geography on the following two questions: (1) What novel geographic thinking is driven by GIS? (2) How may GIS provoke new geographic inquiries and knowledge? Building on Nystuen's notion of four tensions that trigger geographic questions, the essay discusses how GIS innovations mediate historical tension, space‐time tension, dimensional tension and scale tensions.

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Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories

Cited by 53 publications

References 65 publications

Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics

Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics

Rebalancing Strategy for Bike-Sharing Systems Based on the Model of Level of Detail

GIS research to address tensions in geography

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