The Regulatory Determinants of Railroad Safety

Ellig, Jerry; McLaughlin, Patrick A.

doi:10.1007/s11151-016-9525-0

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The presented article is related with the safety on railways. The development of the railway safety issue in relation to the rail transport price is addressed by material [5], which is oriented mainly on the regulations leading to the increase of the safety of the railway. The key publications related to the presented topic are texts focusing on the detailed principles of the CBA analysis use in the railway infrastructure project assessment.…”

Section: Present-state Referencesmentioning

confidence: 99%

Archives of Civil Engineering

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Hromádka

Korytářová

et al. 2022

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The issue of assessing socio-economic impacts represent a key element of the decisionmaking process on the implementation of major public investment projects. The correctness of the decision depends both on the chosen principle of the socio-economic analysis and the input data. The presented article focuses on updating selected input values for the socio-economic assessment of railway infrastructure projects. Specifically, the simplified values of the estimated rail accidents costs. Accident costs are used for considering the change in the safety. At present, these values, which are also stated in the national methodological resources, are based on statistical data of the entire European Union and thus do not reflect the possible national specifics of projects implemented in the territory of individual Member States. The principle of updating values is from a methodological point of view based on the original calculation principles, however, involves a set of information items on the occurrences that emerged in the past in a specific area. The output of the article is a set of methodological steps considering national conditions when determining the average accident costs, subsequently verified on a case study of the railway network in the Czech Republic. The outputs of the presented article directly build on the results of the research project in which the team of article authors has been involved. The research results refer to different values of accident costs uniformly determined for the entire European Union territory and those determined individually for the conditions of the railway infrastructure in the Czech Republic.

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Section: Present-state Referencesmentioning

confidence: 99%

Archives of Civil Engineering

Funk

Hromádka

Korytářová

et al. 2022

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“…More concretely, scholars have argued that legal complexity hampers economic development through several channels, including by the lowering of returns on capital and thus impeding innovation [40][41][42][43]. In recent years, several scholars have attempted to use data on aggregate regulatory levels to draw conclusions about the costs and benefits of various regulatory regimes [9,44,45]. In the realm of political discourse, trade associations representing regulated industry frequently bemoan legal complexity and the cumulative cost of regulations [46].…”

Section: General Characteristics Of Legal Systemsmentioning

confidence: 99%

A Multinetwork and Machine Learning Examination of Structure and Content in the United States Code

et al. 2021

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This paper introduces a novel linked structure-content representation of federal statutory law in the United States and analyzes and quantifies its structure using tools and concepts drawn from network analysis and complexity studies. The organizational component of our representation is based on the explicit hierarchical organization within the United States Code (USC) as well an embedded cross-reference citation network. We couple this structure with a layer of content-based similarity derived from the application of a “topic model” to the USC. The resulting representation is the first that explicitly models the USC as a “multinetwork” or “multilayered network” incorporating hierarchical structure, cross-references, and content. We report several novel descriptive statistics of this multinetwork. These include the results of this first application of the machine learning technique of topic modeling to the USC as well as multiple measures articulating the relationships between the organizational and content network layers. We find a high degree of assortativity of “titles” (the highest level hierarchy within the USC) with related topics. We also present a link prediction task and show that machine learning techniques are able to recover information about structure from content. Success in this prediction task has a natural interpretation as indicating a form of mutual information. We connect the relational findings between organization and content to a measure of “ease of search” in this large hyperlinked document that has implications for the ways in which the structure of the USC supports (or doesn’t support) broad useful access to the law. The measures developed in this paper have the potential to enable comparative work in the study of statutory networks that ranges across time and geography.

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“…Other studies have focussed not on identifying burdens but on identifying the complex relationship between regulation and other metrics. For instance, RegData can be used to study particular deregulatory events (see Ellig & McLaughlin, 2016) or as a measure of political risk (Hassan, Hollander, van Lent, & Tahoun, 2019). Other studies have examined the relationship between RegData restrictiveness clauses and wages (Adamis‐Császár et al., 2019), business investment in the manufacturing sector (Pizzola, 2018), output in the energy sector (Hall & Shakya, 2019), poverty (Chambers, McLaughlin, & Stanley, 2019a), consumer prices (Chambers, Collins, & Krause, 2019b), entrepreneurship (e.g.…”

Section: Regdata: Australia and The New Regulatory Analyticsmentioning

confidence: 99%

The political economy of Australian regulatory reform

et al. 2020

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The problem of regulatory accumulation has increasingly been recognised as a policy problem in its own right. Governments have then devised and implemented regulatory reform policies that directly seek to ameliorate the burdens of regulatory accumulation (e.g. red tape reduction targets). In this paper we examine regulatory reform approaches in Australia through the lens of policy innovation. Our contributions are twofold. We first examine the evolutionary discovery process of regulatory reform policies in Australia (at the federal, intergovernmental, and state levels). This demonstrates a process of policy innovation in regulatory mechanisms and measurements. We then analyse a new measurement of regulatory burden based on text analytics, RegData: Australia. RegData: Australia uses textual analysis to count ‘restrictiveness clauses' in regulation – such as ‘must’, ‘cannot’ and ‘shall’ – thereby developing a new database (RDAU1.0). We place this ‘restrictiveness clauses’ measurement within the context of regulatory policy innovation, and examine the potential for further innovation in regulatory reform mechanisms.

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The Regulatory Determinants of Railroad Safety

Cited by 7 publications

References 22 publications

Archives of Civil Engineering

Archives of Civil Engineering

A Multinetwork and Machine Learning Examination of Structure and Content in the United States Code

The political economy of Australian regulatory reform

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