Gravity model in dockless bike-sharing systems within cities

Li, Ruiqi; Gao, Shuai; Luo, Ankang; Yao, Qing; Chen, Bingsheng; Shang, Fan; Jiang, Rui; Stanley, H. Eugene

doi:10.1103/physreve.103.012312

Cited by 22 publications

(8 citation statements)

References 40 publications

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“…Users who sustain using DBS have the potential to promote DBS continuance usage in their social networks as well. Moreover, a suggestion might be to create a cycle-friendly climate in cities to encourage users to continue using DBS, as social interactions in urban space have an impact on the travel behavior of people (Askarizad and Safari, 2020;Li et al, 2021). Last but equally important is the significant role of perceived ease of use and perceived usefulness, which indicate that DBS operators should continue simplifying the process of using DBS services and make digital user manuals and marketing materials to increase users' understanding of how DBS usage makes short trips more convenient.…”

Section: Practical Implicationsmentioning

confidence: 99%

Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing

Lin

2022

Front. Psychol.

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Despite the fact that dockless bike-sharing (DBS) usage first experienced explosive growth, its continuous usage rate remains low. The ultimate success of a DBS service is more dependent on its continued usage rather than its initial adoption. Following the extended technology acceptance model (TAM), this study aims to explore factors that influence the continuance intention of DBS users. The framework of research was validated using a sample of 369 DBS users in China. The results show that perceived usefulness and perceived ease of use positively influence a user’s intention to continue using DBS. Both descriptive social norms and injunctive social norms are positively related to the continuance intention of DBS users. Moreover, environmental concern significantly affects the continuance intention of a user indirectly via perceived usefulness and perceived ease of use. Furthermore, the extended TAM has stronger prediction ability than the original TAM in the context of DBS services.

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Section: Practical Implicationsmentioning

confidence: 99%

Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing

Lin

2022

Front. Psychol.

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“…Outward star graph ∞ Among these example graphs, the ring graph has the lowest γ c = 1/2 transport model is that the transport quantity depends on the power of the receiver's quantity, where the power exponent may be nonzero. Typical cases, including those related to thermal and chemical transport, do not exhibit this dependency, whereas nonzero power exponents are observed in some cases in the fields of social science and economics [10,14,15]. In this study, we focus on the effect of the power exponent on the transport properties.…”

Section: Complete Graphmentioning

confidence: 99%

Diffusion-Localization Transition Point of Gravity Type Transport Model on Regular Ring Lattices and Bethe Lattices

Koike

Takayasu

2022

J Stat Phys

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Focusing on the diffusion-localization transition, we theoretically analyzed a nonlinear gravity-type transport model defined on networks called regular ring lattices, which have an intermediate structure between the complete graph and the simple ring. Exact eigenvalues were derived around steady states, and the values of the transition points were evaluated for the control parameter characterizing the nonlinearity. We also analyzed the case of the Bethe lattice (or Cayley tree) and found that the transition point is 1/2, which is the lowest value ever reported.

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“…The gravity model has been applied to systems of various spatial interactions, including urban mobility [28][29][30][31][32][33], intercity mobility [18,34,35], and general inter-regional interactions [36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Multiple gravity laws for human mobility within cities

Kwon,

Hong,

Jung

et al. 2023

EPJ Data Sci.

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The gravity model of human mobility has successfully described the deterrence of travels with distance in urban mobility patterns. While a broad spectrum of deterrence was found across different cities, yet it is not empirically clear if movement patterns in a single city could also have a spectrum of distance exponents denoting a varying deterrence depending on the origin and destination regions in the city. By analyzing the travel data in the twelve most populated cities of the United States of America, we empirically find that the distance exponent governing the deterrence of travels significantly varies within a city depending on the traffic volumes of the origin and destination regions. Despite the diverse traffic landscape of the cities analyzed, a common pattern is observed for the distance exponents; the exponent value tends to be higher between regions with larger traffic volumes, while it tends to be lower between regions with smaller traffic volumes. This indicates that our method indeed reveals the hidden diversity of gravity laws that would be overlooked otherwise.

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Gravity model in dockless bike-sharing systems within cities

Cited by 22 publications

References 40 publications

Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing

Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing

Diffusion-Localization Transition Point of Gravity Type Transport Model on Regular Ring Lattices and Bethe Lattices

Multiple gravity laws for human mobility within cities

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