Joint Costs in Electricity and Natural Gas Distribution Infrastructures: The Role of Urban Factors

Senyel, Muzeyyen Anil; Guldmann, Jean‐Michel

doi:10.3390/urbansci2020035

Cited by 5 publications

(7 citation statements)

References 14 publications

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“…Transformation requires an urban development plan with a new street layout, so that constructing natural gas pipelines in advance is not rational for the service providers in these areas. Energy infrastructure investments are expensive and often di cult to reverse, because it is costly to modify these systems once completed [53]. Besides, safety concerns may arise during transformation activities as natural gas can be dangerous and explosive, so that certain measures should be taken prior to construction.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Energy Justice in Natural Gas Distribution with Geographically Weighted Regression

Kürkçüoğlu¹

2021

Preprint

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Background: Households are expected to have access to variety of modern, convenient and efficient urban energy alternatives, while limited or no access to urban energy services results in energy injustice. The amount of natural gas investments is affected from the socio-economic and physical characteristics of the communities. Natural gas distribution has been carried out for more than 15 years in Izmir, but still not all neighborhoods have access to the network in the city, which points to the presence of energy injustice. Revealing the local factors contributing to the injustice is key for decision makers to develop effective energy policies in emerging economies, such as Turkey. Results: Both GWR and OLS are employed to find out the variables affecting the amount of natural gas investments, while GWR provides improved results than OLS. Population, employment, income, and physical and legal status of the neighborhoods affect the amount of total investments at the neighborhood level. Higher population, higher average income, and higher employment lead to more investments. Disadvantaged areas, on the other hand, have negative impact on the amount of investments. GWR accounts for the location specific variations while mapping the spatial distribution of the factor coefficients shows the prominence of factors in investments throughout the study area visually. Conclusions: Energy injustice is observed at some level, unless variety of energy choices are available for the society. Energy injustice appears to be two-fold, since it is related to demand and supply sides, and specific policies are needed addressing to both. Population and employment are the factors related to the number of potential customers, accordingly leading to higher investments. Income, on the other hand, depends on the purchasing power of the customers, and there are economic barriers that need to be regulated for the low-income households to switch to natural gas. Disadvantaged areas in terms of their legal and physical attributes, either declared as urban transformation areas or currently under urban transformation, lack the natural gas service provision in general. However, natural gas can be invested in those areas when the transformation is completed in accordance with the new development plans.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Energy Justice in Natural Gas Distribution with Geographically Weighted Regression

Kürkçüoğlu¹

2021

Preprint

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“…Application to other cases-such as natural gas systems studied herein-offers a way to extend and build upon this body of knowledge. While economists have paid considerable attention to factors that shape retail gas prices, such as pricing rules, service bundling, market structure, and public versus private ownership (Knittel, 2003;Puller & West, 2013;Senyel & Guldmann, 2018), pricing is just one aspect of public service quality. Previous literature has evaluated socioeconomic covariates of environmental performance of gas utilities (Scott et al, 2019).…”

Section: Critical Infrastructure Breakdownmentioning

confidence: 99%

Who owns the pipes? Utility ownership, infrastructure conditions, and methane emissions in United States natural gas distribution

Scott

Greer³

2022

Review of Policy Research

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Critical infrastructure systems that provide local public services are owned by a complicated array of public and private entities that are subject to disparate regulatory regimes. Determining whether and why performance differences between public and private service providers emerge in these different contexts is critical for understanding the efficacy of current management efforts and informing policy choices about how to deal with public and private service providers. This paper analyzes a census of all U.S. gas distributors and a more detailed sample of the largest utilities in the United States to model how sector and regional market concentration relate to infrastructure quality and leak volumes. Using safety reports, market data, and yearly infrastructure records submitted by gas distributors from 2010 to 2017, the article uses a series of Bayesian hierarchical models to show that publicly owned utilities report lower quality infrastructure (i.e., operation of pipelines with lower quality materials), but also self-report significantly lower leak rates, all else equal. The article concludes by discussing potential explanations for this discrepancy, including the capital investment incentives private utilities face under cost-ofservice pricing regulations and the fact that performance measurement capacity is itself a potential outgrowth of increased investment and expenditures.

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“…UDC 519.863+519.716.4 DOI: 10.15587/1729-4061.2020.195379 pers [2,3] describe current variants of approaches to deriving logical conclusions concerning the content and order of functional and technological support to the development of complex systems. They propose making decisions based on the results of the analysis of specially organized data arrays.…”

Section: запропонований метод структурного функцIонально-вартiсного мmentioning

confidence: 99%

Construction of a method for the structural functional-cost modeling of a complex hierarchic system

Korobchynskyi

Slonov

Tsybulskyi

et al. 2020

EEJET

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Joint Costs in Electricity and Natural Gas Distribution Infrastructures: The Role of Urban Factors

Cited by 5 publications

References 14 publications

Analysis of the Energy Justice in Natural Gas Distribution with Geographically Weighted Regression

Analysis of the Energy Justice in Natural Gas Distribution with Geographically Weighted Regression

Who owns the pipes? Utility ownership, infrastructure conditions, and methane emissions in United States natural gas distribution

Construction of a method for the structural functional-cost modeling of a complex hierarchic system

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