Analytic hierarchy process for city hub location selection - The Viennese case

Anderluh, Alexandra; Hemmelmayr, Vera C.; Rüdiger, Dag

doi:10.1016/j.trpro.2020.03.166

Cited by 27 publications

(9 citation statements)

References 19 publications

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“…The data used to create the distance matrices for the testing of the additional 4 US cities were neighborhood shapefiles sourced from the cities' open GIS portals [28]. The distance between hubs and demand points was calculated in miles using the haversine formula; Equations ( 18)- (20) [29]. This formula is mainly used to find distances on earth between two points using latitude and longitude.…”

Section: Datamentioning

confidence: 99%

“…For example, Taherkhani et al [17] develop mathematical models to find how many hubs to locate and where, how to allocate demand nodes to the hubs, the optimal design of the hub network, and optimal routes with the objective of maximizing profit. New hub location approaches have been developed to pivot to more sustainable solutions, such as identifying the impact of depot location, fleet composition, and routing decisions on vehicle emissions in city logistics [18], minimizing air and noise pollution [19], and including the cost of environmental and social aspects in the decision-making process [20].…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Planning for a Mixed Urban Freight Fleet with EVs and ICEVs in the USA

Goulianou,

Regan,

Goodchild

2024

Sustainability

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Commercial electric vehicles (EVs) have increasingly gained interest from urban freight companies in the past decade due to the introduction of economic and policy drivers. Although these factors promote urban freight electrification, some barriers hinder the transition to fully electric fleets, such as the significant monetary investment required to replace the current internal combustion engine vehicles (ICEV) and the lack of readily available electric freight vehicles. Due to these barriers, for the foreseeable future, urban freight companies will operate mixed fleets with a combination of EVs and ICEVs to balance their cost/benefit trade-offs. This intermediate operational stage will allow companies to adjust their operations, test EVs, and decide if a fully electric fleet is the best choice. This paper focuses on urban last-mile deliveries in the USA and proposes a long-term planning model to explore the effects of external factors (i.e., fuel costs) on planning decisions (i.e., EV share) for a mixed fleet. In the context of this paper long-term planning is the planning for the infrastructure needed for the introduction of EVs (i.e., fleet composition and charging station location). The goal of the proposed model is to minimize the fuel, EV, ICEV, and EV charger costs. The results show that the EV share of a mixed fleet is affected by gasoline and electricity prices and the distances traveled in a given network. This paper shows that the EV share of a mixed fleet increases when the gasoline cost increases and the electricity cost decreases.

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-Term Planning for a Mixed Urban Freight Fleet with EVs and ICEVs in the USA

Goulianou,

Regan,

Goodchild

2024

Sustainability

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“…Chronéer and Mirijamdotter (2009) examine how supply chain management and the Viable System Model (VSM) can support and create effective use of information in product development and thus identify critical links in a supply chain. Anderluh et al (2020) apply a model for the location selection of a midi-hub of a medium city centre in Vienna using an AHP (Analytic Hierarchy Process)-based decision-making support tool. For their research, it was also necessary to investigate the economic standpoint of the suggestions, which is documented by Hlatká et al (2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Application of specific tools of the Theory of Constraints – a case study

Stopka

Zitrický

Ľupták

et al. 2023

CogSust

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The Theory of Constraints is a management tool for continuously improving corporate performance. In the USA, it has been very successful, above all due to the contribution of a comprehensive assessment of the issues of managerial control. Its development has also been taking place in the Czech Republic. This paper aims to present the Theory of Constraints tools and then apply some of them to a specific enterprise in logistics activities. The findings in terms of detecting and widening the bottleneck afterwards should exert a positive impact on corporate performance. Current Reality Tree, Conflict Diagram and Future Reality Tree are applied in the paper to eliminate undesirable effects that prevent the enterprise from increasing its performance. Besides providing this specific enterprise with concrete solutions to identified issues, this study aims at depicting the procedure for implementing the methods of the Theory of Constraints, including specific results and benefits of the suggested solutions, along with the quantification of their costs, savings and throughput.

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“…One of the most commonly used MCDM methods is the Analytic Hierarchy Process (AHP), which enables policymakers to prioritize different urban transportation alternatives [56,57]. Some researchers consider that MCDM is the most suitable method to conduct environmental impacts assessments [58,59].…”

Section: Literature Reviewmentioning

confidence: 99%

Mixed Transport Network Prioritization Based on Environmental Impact and Population Density

Mousavimasouleh

Salehi

Sadeghi

et al. 2022

Journal of Advanced Transportation

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Today, due to the growing importance of sustainable development in urban areas, the decision to prioritize different transportation options in an area where users have to combine different transportation modes has received much attention in the scientific community. In this research, different modes of transportation including pedestrians, taxis, buses, and bicycles are considered as a combination of two different transportation modes in Tehran’s densely populated area. With the aim of prioritizing travel options in order to achieve sustainable urban development, public transport users were first asked about their travel means preferences. Next, by obtaining the opinions of urban transportation experts of Tehran Municipality regarding sustainable development of urban transportation, a set of transportation options in this area were prioritized on the basis of some criteria optimized using the analytic hierarchy process (AHP) method. The results indicate that air pollution and noise pollution, with the score of 0.33 and 0.24, respectively, were the two most important criteria for choosing a trip mode in dense population areas according to the opinion of transportation and traffic experts of Tehran. The AHP analysis indicated that the use of combined bicycle-walk mode with a score of 0.282 is the most preferred option, while bus-bicycle mixed mode with a score of 0.116 is the least preferred. Survey data indicate that there is a significant difference between people’s general preferences in choosing their urban transportation options and the sustainable urban development approach.

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Analytic hierarchy process for city hub location selection - The Viennese case

Cited by 27 publications

References 19 publications

Long-Term Planning for a Mixed Urban Freight Fleet with EVs and ICEVs in the USA

Long-Term Planning for a Mixed Urban Freight Fleet with EVs and ICEVs in the USA

Application of specific tools of the Theory of Constraints – a case study

Mixed Transport Network Prioritization Based on Environmental Impact and Population Density

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