Improving spatial accessibility to regional health systems through facility capacity management

Bruno, Giuseppe; Cavola, Manuel; Diglio, Antonio; Piccolo, Carmela

doi:10.1016/j.seps.2020.100881

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…Some other studies account for factors such as spatial accessibility, multi-modal travel, temporal service availability, competition, multiple and hierarchical services, socio-economic and personal factors, etc. in order to more realistically reproduce users' behaviors (Bruno et al, 2020;Higgs et al, 2019;Jin et al, 2019;Mathon et al, 2018;Mayaud et al, 2019;Lin et al, 2018;Shin and Lee, 2018;Yin et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Equity in Stochastic Healthcare Facility Location

Shehadeh¹,

Snyder²

2021

Preprint

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We consider issues of equity in stochastic facility location models for healthcare applications. We explore how uncertainty exacerbates inequity and examine several equity measures that can be used for stochastic healthcare location modeling. We analyze the limited literature on this subject and highlight areas of opportunity for developing tractable, reliable, and data-driven approaches that might be applicable within and outside healthcare operations. Our primary focus is on exploring various ways to model uncertainty, equity, and facility location, including modeling aspects (e.g., tractability and accuracy) and outcomes (e.g., equity/fairness/access performance metrics vs. traditional metrics like cost and service levels).

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Section: Discussionmentioning

confidence: 99%

Equity in Stochastic Healthcare Facility Location

Shehadeh¹,

Snyder²

2021

Preprint

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“…For our analysis, we focus on the Campania Region, which is the second most populated region in Italy, with about 6 million of inhabitants (density of 425 inhabitants per km 2 ). To calculate the introduced indicators, we implement the following methodological steps (see Barbarisi et al 2019 ; Bruno et al 2020 ): Delimitation of the study region; Definition of the (multi-service) facility network; Demand representation; Distance matrix calculation. …”

Section: Description Of the Case Studymentioning

confidence: 99%

Geographical accessibility to upper secondary education: an Italian regional case study

et al. 2022

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In this paper, a spatial analysis is performed to measure students’ access to the upper secondary education system. Based on the definition of quantitative indicators, the adopted approach is applied to an Italian regional case by exploiting the capabilities of a GIS software and using census tracts’ level data. The obtained results highlight geographical patterns of inequalities in access among students and shed light on the least served areas. Further analysis shows that accessibility reflects the degree of urbanization within the study region and that geographical distances are actual barriers to rural students since they are not compensated for by either economic status or the availability of digital infrastructures. The study offers empirical grounds to inform the decision-making process toward equity-in-access oriented interventions. Longer-term actions, as the activation of new schools (network expansion), the activation of new programs (service expansion) or the redistribution of their supply among the current network (network reorganization), as well as mid-term ones, like offering economic support for students’ mobility, or reinforcing digital connectivity, emerge as relevant to mitigate social exclusion.

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“…They focus on the downsizing and the closure of facilities that could minimise the system operational cost by reallocating demands; a similar approach is presented in Ref. [41] for the downsizing of a postal collection network, due to declining volumes.…”

Section: Reorganisation Problems In the Facility Location Literaturementioning

confidence: 99%