Modelling the Impact of Transit Media on Information Spreading in an Urban Space Using Cellular Automata

Małecki, Krzysztof; Jankowski, Jarosław; Szkwarkowski, Mateusz

doi:10.3390/sym11030428

Cited by 12 publications

(5 citation statements)

References 78 publications

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“…Certainly, other types of complex networks could be employed [24] , [25] . They could be used to take into account, for instance, non-isotropic features of the simulated environment [26] , [27] .…”

Section: Methods: Ca and Gamentioning

confidence: 99%

The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm

Monteiro

Gandini

Schimit

2020

Computer Methods and Programs in Biomedicine

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Highlights It is conjectured that immune individuals affect the spread of contagious diseases. An epidemic model formulated in terms of cellular automaton is proposed. Genetic algorithm is employed to identify three parameters of this model. Data of varicella prevalence in Belgium and Italy around the year 2000 are used. The actual role of immune individuals in infection spread is discussed.

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Section: Methods: Ca and Gamentioning

confidence: 99%

The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm

Monteiro

Gandini

Schimit

2020

Computer Methods and Programs in Biomedicine

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“…Asset commercialization is a strategy aimed at enhancing operational capability and capacity to meet cost recovery targets, as described by Li and Love (2019). In the transportation sector, asset commercialization takes the form of renting assets for advertising (Silverberg, 1998;Małecki, Jankowski and Szkwarkowski, 2019). A study by Litman (2022) assessed 18 funding options in the transportation sector, showing that advertising and station rentals could provide additional income to cover public transport operational costs.…”

Section: Concept Of Asset Commercialization In Transportation Infrast...mentioning

confidence: 99%

Non-toll revenue potential to increase funding sources for toll road maintenance

Susanti,

Kadarsa,

Foralisa

et al. 2023

CEB

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The purpose of providing toll road infrastructure through Public-Private Partnerships (PPP) is to ensure that the private sector generates sufficient revenue to manage road operations and maintenance effectively. However, in many countries, various practices of PPP have led to budget shortfalls for road operations and maintenance. This situation is often due to escalating construction costs and lower-than-expected traffic volumes. To address these financial challenges, this study aimed to implement asset commercialization schemes within toll road management. A specific case study was conducted on a section of the Indonesian Trans Sumatra toll road that faced rising construction costs and low traffic volumes. A quantitative approach was applied to assess potential non-toll revenue that could be generated through asset commercialization along toll road corridors. The commercialization opportunities considered included leasing land for advertisements, installing solar power plants, erecting communication towers, and establishing rest area businesses. The identification and analysis of these opportunities were closely tied to the type, quantity, and location of asset. The results showed that asset commercialization schemes, particularly land leases for advertisements and rest area businesses, had potential to generate substantial revenue. It showed that by fully capitalizing on asset commercialization opportunities along toll road corridors, significant additional income could be generated to support road maintenance funding. The approach developed in this study could be applied to other toll road sections facing revenue deficits and budgetary challenges in maintaining their operations. This study could contribute to the growing body of knowledge on the commercialization of toll road asset.

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“…Bus exterior ads will target different audiences depending on the route it follows. The audience of bus exterior advertising includes pedestrians in the streets, bus riders, and people in nearby cars, which is almost the most complex audience component to measure (Małecki et al, 2019). Traditional methods usually simplified the number of audiences to the number of passengers taken by a bus (Zhang et al, 2017a;Zhang D. et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

Multisource data integration for targeted bus exterior advertising

Huang

et al. 2022

Front. Environ. Sci.

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Bus exterior advertising plays a significant role in outdoor advertising, since it provides frequent exposure to a large number of residents. Traditional route selection methods are generally based on a rough estimation, for example, the number of total passengers of a bus route or the geographical features along the bus route. Targeted bus exterior advertising remains a challenge as little is known about the characteristics of the people along the bus route. In this study, we are aiming at determining a set of bus routes for a given ad category to maximize advertising effectiveness, by mining multiple data sources, including mobile phone data, bus GPS data, smart card data (SCD), and land use data. Specifically, we first estimated the distribution of potential target audiences using mobile phone data and land use data. Two optimization models are proposed considering different advertising requirements. For well-established brands that audiences are familiar with, a wide coverage-oriented bus route selection model is proposed to maximize the coverage of potential target audiences. For new brands that require a high level of exposure before they become recognizable, a deep coverage-oriented bus route selection model is proposed to maximize the total exposure times of the ads. Both models were demonstrated with a case study in Shenzhen, China to explicitly present the outcomes of the models and the differences between them. The calculation results show that the wide coverage-oriented model achieves an average of 84.8% improvement compared with baseline 1 which selects the bus routes with the most passengers, while an average of 9.2% improvement compared with baseline 2 which selects the bus route with the maximum coverage of the target area in reaching more potential target audiences. The exposure intensity of the deep coverage-oriented model is almost 3.7 times of the wide coverage-oriented model. The proposed models provide new options for advertisers to select a suitable advertising strategy according to their needs.

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Modelling the Impact of Transit Media on Information Spreading in an Urban Space Using Cellular Automata

Cited by 12 publications

References 78 publications

The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm

The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm

Non-toll revenue potential to increase funding sources for toll road maintenance

Multisource data integration for targeted bus exterior advertising

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