Population-weighted efficiency in transportation networks

Dong, Lei; Li, Ruiqi; Jiang, Zhang; Di, Zengru

doi:10.1038/srep26377

Cited by 45 publications

(27 citation statements)

References 35 publications

(40 reference statements)

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“…For instances in [24], a spatial attraction mechanism, together with matching growth is proposed, to simulate city growth and reveal the hidden spatial scaling relations between different city elements. The authors of [25] proposed a population-weighted efficiency indicator, which tells how efficient the city is and provides a quantitative measurement to guide transportation infrastructure development. Understanding urban traffic is necessary for electric mobility as well as for urban planning, in this sense, many efforts have been developed to understand, predict and visualize traffic behavior in smart cities [26]- [28].…”

Section: A Urban Traffic Modelingmentioning

confidence: 99%

Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador

et al. 2020

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Several efforts have been devoted to developing sustainable cities to address global environmental challenges and the growth of urban areas. In particular, transportation has various issues such as air pollution, noise, and traffic, which have to be addressed by collecting significant information of the traffic and road conditions of the cities. Automating the data extraction process and street network construction will allow building more useful models to study traffic behavior. This work presents a network modeling approach to identify interest points (extreme and internal) of the city, through a winner-takes-all edge trimming, and mapping the traffic flow between them. Such points can be considered as entries of an Origin-Destination matrix, where such information can be used to model traffic behavior between interest points. The case study of Quito, Ecuador is considered. Besides, to address environmental issues, this paper encourages the replacement of internal combustion taxis with electric vehicles. From the understanding of the vehicle traffic behavior, a pre-feasibility siting of electric taxi (ET) charging stations was carried out. The results will allow performing the sizing of each charging station considering electric power network constraints. This work aims to ensure a sustainable transportation system based on this crucial information. INDEX TERMS charging station, driving time and distance, electric vehicle, graph trimming, urban traffic network

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Section: A Urban Traffic Modelingmentioning

confidence: 99%

Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador

et al. 2020

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“…Both the interplay among elements at the microscopic level and the relationship between spatial distributions and aggregate scaling laws remain outstanding problems. Addressing them is important to urban planning 17 , traffic engineering 35 and transportation efficiency 36 , infectious disease epidemiology 37 , 38 , and emergency management 39 , among other applications.…”

Section: Introductionmentioning

confidence: 99%

Simple spatial scaling rules behind complex cities

et al. 2017

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Although most of wealth and innovation have been the result of human interaction and cooperation, we are not yet able to quantitatively predict the spatial distributions of three main elements of cities: population, roads, and socioeconomic interactions. By a simple model mainly based on spatial attraction and matching growth mechanisms, we reveal that the spatial scaling rules of these three elements are in a consistent framework, which allows us to use any single observation to infer the others. All numerical and theoretical results are consistent with empirical data from ten representative cities. In addition, our model can also provide a general explanation of the origins of the universal super- and sub-linear aggregate scaling laws and accurately predict kilometre-level socioeconomic activity. Our work opens a new avenue for uncovering the evolution of cities in terms of the interplay among urban elements, and it has a broad range of applications.

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“…Moreover, most previous researches assumed that the aware susceptible individuals can get infected with a smaller infection rate than an unaware susceptible individual, and the infection rate is same for all the aware individuals [19,26,27,32]. However, heterogenetic individuals [33] with different infected neighbors and perceived infection risk [34][35][36][37] took various behavioral responses and their infection rates were also different. Some studies incorporated the heterogeneity of individuals' perceived risk into individual behavior response model and got some interesting results.…”

Section: Introductionmentioning

confidence: 99%

Effects of asymptomatic infection on the dynamical interplay between behavior and disease transmission in multiplex networks

Shi

Long

Pan

et al. 2019

Physica A: Statistical Mechanics and its Applications

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h i g h l i g h t s• We study the impact of asymptomatic infection on the epidemic spread dynamics in multiplex networks.• We assume infected can be isolation and non isolation, then compare the research results of these two cases.• We take the individual heterogeneity into consideration and study whether it affect research results. a b s t r a c tMultiplex network theory is widely introduced to deepen the understanding of the dynamical interplay between self-protective behavior and epidemic spreading. Most of the existing studies assumed that all infected individuals can transmit diseaserelated information or can be perceived by their neighbors. However, owing to lack of distinct symptoms for patients in the initial stage of infection, the disease information cannot be transmitted in the population, which may lead to the wrong perception of infection risk and inappropriate behavior response. In this work, we divide infected individuals into Exposed-state (without obvious clinical symptoms) individuals and Infected-state (with evident clinical symptoms) individuals, both of whom can spread disease, but only Infected-state individuals can diffuse disease information. Then, in this work we establish UAU-SEIS (Unaware-Aware-Unaware-Susceptible-Exposed-Infected-Susceptible) model in multiplex networks and analyze the effect of asymptomatic infection and the isolation of Infected-state individuals on the density of infection and the epidemic threshold. Furthermore, we extend the UAU-SEIS model by taking the individual heterogeneity into consideration. Combined Markov chain approach and Monte-Carlo Simulations, we find that asymptomatic infection has an effect on the density of infected individuals and the epidemic threshold, and the extent of the effect is influenced by whether Infected-state individuals are isolated or treated. In addition, results show that the individual heterogeneity can lower the density of infected individuals, but cannot enhance the epidemic threshold.

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Population-weighted efficiency in transportation networks

Cited by 45 publications

References 35 publications

Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador

Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador

Simple spatial scaling rules behind complex cities

Effects of asymptomatic infection on the dynamical interplay between behavior and disease transmission in multiplex networks

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