Location-Allocation Modeling for Emergency Evacuation Planning in a Smart City Context

Batsaris, Marios; Kavroudakis, Dimitris; Soulakellis, Nikolaos; Kontos, Themistoklis

doi:10.4018/ijagr.2019100103

Cited by 4 publications

(5 citation statements)

References 38 publications

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“…In this sub-section, PoD web tool and open-source (areal and sf) implementations are demonstrated and evaluated using a reference dataset from our previous work (Batsaris et al, 2019).…”

Section: Results and Evaluationmentioning

confidence: 99%

“…The same results are also obtained by aws and awi methods, while the rest provide somehow different estimated values. (Batsaris et al, 2019). This dataset (reference dataset) is based on an extended field survey carried out back in 2010 by the Carto-GI Lab (https://cartogi-lab.aegean.gr/), highlighting populated and unpopulated floors for the buildings of Mytilini, and were validated through random in-situ visits in 2019.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

PoD: A Web Tool for Population Downscaling Using Areal Interpolation and Volunteered Geographic Information

Batsaris,

Zafeirelli,

Vaitis

et al. 2023

EJG

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Population data are commonly sourced from censuses, and to meet confidentiality requirements, they are spatially aggregated into standardized enumeration units. However, the need often arises to transform such datasets into user-defined spatial scales, a process known as areal interpolation. Areal interpolation is the process of data transformation across spatial zones and is particularly suitable for aggregated data such as census data. While numerous areal interpolation methods exist, a lack of implementation tools have been witnessed. In this article, we introduce PoD, a web-based solution that encompasses four downscaling schemes. To illustrate the utility of the proposed tool, we conducted a case study using actual data from the city of Mytilini, Greece. We compared the results obtained through PoD with existing R-based implementations, in addition to evaluating their performance using a reference dataset. The outcomes of this evaluation affirm the effectivenes of the proposed PoD tool over alternative implementations.

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“…In this sub-section, PoD web tool and open-source (areal and sf) implementations are demonstrated and evaluated using a reference dataset from our previous work (Batsaris et al, 2019).…”

Section: Results and Evaluationmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

PoD: A Web Tool for Population Downscaling Using Areal Interpolation and Volunteered Geographic Information

Batsaris,

Zafeirelli,

Vaitis

et al. 2023

EJG

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show abstract

“…Due to confidentiality concerns, population data at the granularity of building are not publicly available in Greece. Therefore, an alternate population distribution previously published in Batsaris et al (2019) was used as reference data (rf ). rf population values are also included in the build-in trg data set.…”

Section: Comparison To Reference Datamentioning

confidence: 99%

“…Information about the spatial distribution of the population is crucial in addressing a wide range of geographical information science problems (Dobson et al 2000;Ahola et al 2007;Freire and Aubrecht 2012;Bian and Wilmot 2015;Calka, Nowak Da Costa, and Bielecka 2017;Batsaris et al 2019;Bahadori, Gonçalves, and Moura 2021;Wang et al 2021;Han, Hu, and Wang 2020). One of the most common sources of population data is the Census of Population (Tenerelli, Gallego, and Ehrlich 2015;Liu, Kyriakidis, and Goodchild 2008).…”

Section: Introductionmentioning

confidence: 99%

populR: a Package for Population Downscaling in R

Batsaris

Kavroudakis

2023

The R Journal

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Population data provision is usually framed by regulations and restrictions and hence spatially aggregated in predefined enumeration units such as city blocks and census tracts. Many applications require population data at finer scale, and therefore, one may use downscaling methods to transform population counts from coarse spatial units into smaller ones. Although numerous methods for downscaling of population data have been reported in the scientific literature, only a limited number of implementation tools exist. In this study, we introduce populR, an R package that responds to this need. populR provides two downscaling methods, namely Areal Weighted Interpolation and Volume Weighted Interpolation, which are illustrated and compared to alternative implementations in the sf and areal packages using a case study from Mytilini, Greece. The results provide evidence that the vwi approach outperforms the others, and thus, we believe R users may gain significant advantage by using populR for population downscaling.

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“…Therefore, modern GIS tools provide analytic and visualization tools suitable for location-allocation modeling and routing applications (Lei et al, 2016). Such applications may be disaster/emergency management (Batsaris et al, 2019;Kavroudakis et al, 2019), solid waste management (Yu & Solvang, 2017), administrative unit re-organization (Papafragkaki & Photis, 2014), health care services (Photis & Sirigos, 2015;Wang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatial Decision Support System for Efficient School Location-Allocation

Batsaris¹,

Kavroudakis²,

Hatjiparaskevas³

et al. 2021

EJG

Self Cite

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In Greece, a lack of a planning strategy was identified in the context of allocating students to schools. Particularly, the Secondary Educational Management of Lesvos Prefecture along with school Principals decide upon student allocation based on empirical knowledge and approximation techniques. As a consequence, during the school season of 2018-2019 capacity and proximity limitations were violated. This study introduces a Spatial Decision Support System (SDSS) to assist school location-allocation decisions in future seasons. The objective of the proposed SDSS is to minimize commute-to-school distance concerning capacity and proximity limitations. For this purpose, a capacitated P-median approach is adopted and formulated as a mixed-integer linear problem. The SDSS is further evaluated using actual data for students' transition from primary to secondary education in the city of Mytilene, Greece. Evaluation of current allocation practices carried out and further compared to those obtained by the SDSS. The results indicate a decrease of 8% in total distance whereas proximity and capacity constraints were respected accordingly. The results may be potentially useful for school planners to assist the allocation decisions in the city of Mytilene.

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Location-Allocation Modeling for Emergency Evacuation Planning in a Smart City Context

Cited by 4 publications

References 38 publications

PoD: A Web Tool for Population Downscaling Using Areal Interpolation and Volunteered Geographic Information

PoD: A Web Tool for Population Downscaling Using Areal Interpolation and Volunteered Geographic Information

populR: a Package for Population Downscaling in R

Spatial Decision Support System for Efficient School Location-Allocation

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