Selection of City Distribution Locations in Urbanized Areas

Bu, Lei; Duin, Ron van; Wiegmans, Bart; Luo, Zhe; Yin, Chun

doi:10.1016/j.sbspro.2012.03.130

Cited by 13 publications

(13 citation statements)

References 25 publications

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“…The related studies in warehouse location selection literature can be classified as distribution, production and contract type warehouses [1]. Distribution type warehouses; [4], [8], [9], [12], [13], [16], [17], [22], [26], [33]- [35], [39], [41], [42], [44], [46]- [48], [52] are to store various products from different suppliers, and for different customers. Production type warehouses; [5], [7], [20], [23], [27], [29], [31], [36]- [38], [50], [53] are for products with different characteristics in a production facility.…”

Section: Discussionmentioning

confidence: 99%

“…At this point Grey Theory is useful and utilized in this study. [26] applied a preference method for selecting optimal city distribution locations in urbanized areas. This study was carried out without considering traffic real time state from the truck present location point to the transshipment location point, traffic jam, road construction, incidents etc.…”

Section: Review Papersmentioning

confidence: 99%

See 1 more Smart Citation

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Gergin¹,

Peker²

2019

Pamukkale J Eng Sci

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ÖzThe fact that the production and consumption amounts are different from each other gives a dynamic feature to the concept of storage. In addition, an effective storage activity hinges upon the selection of the right warehouse location that takes into account capital and labor investments; minimizes the transportation cost and time. The aim of this study is to investigate the preliminary researches in the selection of the warehouse location selection and to present information on which success factors and methods are preferred. Within this scope, many academic studies have been examined by filtering various databases. According to the results of the study, the most used methods in warehouse location selection are multi-criteria decision making methods such as AHP, ANP and TOPSIS; and the most commonly used success factor is determined as the cost-based factors. Dünya üzerinde üretim ve tüketim miktarlarının birbirlerinden farklı olması depolama kavramına dinamik bir özellik kazandırmaktadır.Ayrıca etkin bir depolama faaliyeti; sermaye ve işçilik yatırımlarını dikkate alacak, taşıma maliyet ve zamanını minimize edecek doğru depo yerinin seçilmesinden geçmektedir. Bu doğrultuda çalışmanın amacı, depo yeri seçiminde yapılmış olan öncül araştırmaların incelenmesi ve depo yer seçiminde hangi başarı faktörleri ve yöntemlerin tercih edildiğine dair bir bilgi sunmaktır. Bu amaç kapsamında çok sayıda akademik çalışma çeşitli veri tabanları süzülerek incelenmiştir. Çalışmanın sonuçlarına göre depo yer seçiminde en fazla kullanılan yöntemler AHP, ANP ve TOPSIS'in başını çektiği Çok Kriterli Karar Verme yöntemleri, en çok kullanılan başarı faktörü ise Maliyet içerikli faktörler olarak belirlenmiştir.

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Section: Discussionmentioning

confidence: 99%

Section: Review Papersmentioning

confidence: 99%

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Gergin¹,

Peker²

2019

Pamukkale J Eng Sci

View full text Add to dashboard Cite

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“…It is also called the "advantages and disadvantages distance method". It is an effective method in multi-objective decision analysis [20][21][22][23][24][25]. Its basic principle is to order by calculating distance between appraisal objects and the optimal and worst solutions.…”

Section: Topsis Modelmentioning

confidence: 99%

“…The ideal point is supposed as the optimal solution, all attribute values of which achieve the best value in all schemes. The anti-ideal point is supposed as the worst solution, all attribute values of which achieve the worst value [24,25]. In order to compare the distance between the scheme point and double base points, we can define:…”

Section: Topsis Modelmentioning

confidence: 99%

Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

Zhao

Suo

2014

Sustainability

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Abstract:With the rapid development of the national economy of China, an increasing need for transportation facilities is becoming a serious challenge that the existing traffic system has to meet. Thus, the highway transportation capacity development level assessment has important significance in theory and in practice. In order to overcome the current defects of stronger subjectivity and experience in common assessment methods, the entropy weight and the TOPSIS method were introduced and employed to the comprehensive assessment of highway transportation capacity development. Shannon information entropy was applied to determine the weight value of each index in the comprehensive assessment model. After determining the index weight, the result of comprehensive assessment was obtained through the TOPSIS method. Finally, the effectiveness and feasibility of the proposed method were shown by application in practice.

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“…Therefore, different approaches that are based on scenario analysis and indicator-based impact assessment are often used in land use modelling [22,23]. Land use modelling can be based on the use of descriptive methods, such as stock-flow diagrams [24], or mathematical relations that can be presented in formulas [25], which are categorized as spatial econometric methods [26][27][28]. In case of the use of spatial econometric methods, it is possible to incorporate decision support systems to optimize problems, which refer to geographical dimensions [29].…”

Section: Introductionmentioning

confidence: 99%

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

Kazak

2018

Sustainability

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Abstract:The increasing level of antropopression has a negative impact on environmental resources and has reached the level of our planetary boundaries. One limitation is land use change caused by urbanization. Global policies prove the need to undertake action in order to develop more sustainable human settlements, which would be adapted better to potential future climate change effects. Among such changes are the increase of average temperatures and extreme events like heat waves. Those changes are more severe in urban areas due to land use development, and result in the urban heat island effect (UHI), which has a negative impact on the thermal comfort of citizens. The paper presents a decision support system that can be used for the assessment of areas to the potential exposure to the UHI effect. The system integrates scenario analysis, land use modelling in cellular automata (Metronamica), and an indicator-based assessment in a geographic information system (ArcGIS). The applicability of the model is illustrated through developing scenarios for the future land use allocation of the Wrocław Larger Urban Zone (Poland). The results of the calculations show which scenario is the least vulnerable to UHI effects. Moreover, for each scenario, cores of urban areas were identified, in which certain urban design patterns accounting for adaptation to climate change could be implemented. The study provides a guideline for local authorities on where to focus actions in order to create more sustainable urban structures and to better adapt to climate change and environmental extremes.

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Selection of City Distribution Locations in Urbanized Areas

Cited by 13 publications

References 25 publications

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Literature Review on Success Factors and Methods Used in Warehouse Location Selection

Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

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