Risk Assessment of Human Activities on Protected Areas: A Case Study

Shafiee, Mohsen; Saffarian, Shabnam; Zaredar, Narges

doi:10.1080/10807039.2014.956596

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…The multicriteria method Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) used in this step was proposed by Tzeng and Huang [125] and has been used in several works; it is one of the most widely used multicriteria methods [126], and it stands out for looking for the alternative that is furthest from the negative ideal solution and closer to the positive ideal solution. In this study, the TOPSIS method was structured as a mathematical instrument for measuring the MMSC smartness in the health area [127,128], environment and sustainability [129][130][131][132][133][134][135][136][137][138], technology [139][140][141][142][143][144], and urban spaces and developments [145][146][147][148][149], among many others in the engineering fields [150][151][152][153][154][155][156][157][158][159][160][161][162].…”

Section: Model Methodologymentioning

confidence: 99%

Smart Cities Maturity Model—A Multicriteria Approach

et al. 2023

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The concept of smart cities has gained relevance over the past few years. Public managers have been planning investments to turn their cities into smart cities. Maturity models can help managers to monitor the performance of urban indicators; however, these maturity models are not always capable of meeting their proposed goals. In this sense, this research aims to develop a maturity model that ranks the “smartness” of a city based on social and technological indicators. The Smart Cities Maturity Model (MMSC) variables were extracted from ISO’s 37153:2017, 37120:2018, 37107:2019. The MMSC is structured on a hybrid TOPSIS multicriteria decision-making method. In this paper, we modified TOPSIS and used it to generate a synthetic indicator, called smart index, that designates the level of maturity of a real city. For this change to be possible, we fixed some alternatives and changed the positive ideal and negative ideal solution. The methodology is proven to be very efficient in measuring the smart city maturity level, and it can be easily adapted for the upcoming ISOs.

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Section: Model Methodologymentioning

confidence: 99%

Smart Cities Maturity Model—A Multicriteria Approach

et al. 2023

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“…Konsep dasar dari metode SAW adalah mencari hasil penjumlahan terbobot dari peringkat setiap alternatif untuk semua atribut. MADM merupakan metode pengambilan keputusan dari sejumlah alternatif untuk menetapkan alternatif terbaik berdasarkan beberapa kriteria dan bobot tertentu (Shafiee, Saffarian, & Zaredar, 2015), (Bansal, Kumar, & Garg, 2017). Metode SAW menghasilkan alternatif pilihan terbaik, dengan hitungan yang dapat dipertanggungjawabkan secara matematis.…”

Section: A Simple Additive Weighting (Saw)unclassified

Comparison between SAW and WASPAS Methods in Determining the Location of the Transit Warehouse of PT. TG

Naibaho

2021

JITE

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This study aims to determine the location of the transit warehouse of PT. TG. For reasons of corporate strategy, so that PT. TG conducted a search for warehouse transit locations by considering five factors. The five factors are population density, distance from the head office, ease of access to the location, land price factors, and social environmental factors. The search for the location of the transit warehouse was carried out precisely to support the progress of the company. The five criteria are grouped into two types, namely benefits and costs. Management of PT. TG provides six alternative warehouse transit locations. Selection of location for the transit warehouse of PT. TG is important because the warehouse is an important facility in a company. The warehouse has an important role in ensuring the supply chain for inventory goods. The method used is the Simple Additive Weight method and the Weight Aggregated Sum Product Assessment method. The results of the weight calculation against the criteria produce an option that can help the management of PT. TG in making the decision for the location of the transit warehouse. One of the six alternatives will be selected based on the value of the largest V or Q calculation. The results of the processing of the SAW method and the WASPAS method show that Sunggal Subdistrict is the best location, with results V = 0.773 and Q = 0.746.

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“…The impact of human activities on PAs is complexity and diversity. Among the various influencing factors, it is recognized that land-use change driven by urban expansion is a key factor affecting PAs (Shafiee et al, 2015). Light pollution is the comprehensive results of land-use change and socio-economic development (Gallaway et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Light Pollution Impact on Protected Areas in China

Jian

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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The Protected Areas (PAs) with natural, ecological and cultural value play important role in biological processes, biodiversity and ecosystem service. During the past years of rapid urban expansion in China, the spatial range and intensity of light pollution unprecedented increase. Historically, optical remote sensing and field survey data had been used to reveal that human activities impacted on PAs for individual areas and few papers documented the issue of light pollution impact on PAs at national scale. Here, time series night-time light satellite images of Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) were selected to assess the light pollution impacted on PAs in China. The method we proposed can be effectively applied to assess the impact of light pollution on PAs and the percent of dark PAs decreased by 35.38&thinsp;% from 1992 to 2012 at nationwide. The trend of light pollution of most PAs in stable, however, light pollution of the local area is increase significantly, especially in northern Xinjiang, Gansu, Xizang, Yunnan, Jiangsu and Shandong. Considering the current status of light pollution encroach into PAs, two strategies of appropriate buffer zone and wide measured for light pollution are also recommend.

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Risk Assessment of Human Activities on Protected Areas: A Case Study

Cited by 10 publications

References 31 publications

Smart Cities Maturity Model—A Multicriteria Approach

Smart Cities Maturity Model—A Multicriteria Approach

Comparison between SAW and WASPAS Methods in Determining the Location of the Transit Warehouse of PT. TG

Assessment of Light Pollution Impact on Protected Areas in China

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