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Prof. Dr. Javier Faulin
Public University of Navarre

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Research Keywords & Expertise

0 Metaheuristics
0 Smart cities and transportation
0 Transportation and management
0 transportation and environment
0 Simheuristics

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Smart cities and transportation
Metaheuristics
Simheuristics
Transportation and management

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Journal article
Published: 19 August 2021 in Energies
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The increasing use of electric vehicles in road and air transportation, especially in last-mile delivery and city mobility, raises new operational challenges due to the limited capacity of electric batteries. These limitations impose additional driving range constraints when optimizing the distribution and mobility plans. During the last years, several researchers from the Computer Science, Artificial Intelligence, and Operations Research communities have been developing optimization, simulation, and machine learning approaches that aim at generating efficient and sustainable routing plans for hybrid fleets, including both electric and internal combustion engine vehicles. After contextualizing the relevance of electric vehicles in promoting sustainable transportation practices, this paper reviews the existing work in the field of electric vehicle routing problems. In particular, we focus on articles related to the well-known vehicle routing, arc routing, and team orienteering problems. The review is followed by numerical examples that illustrate the gains that can be obtained by employing optimization methods in the aforementioned field. Finally, several research opportunities are highlighted.

ACS Style

Leandro Do C. Martins; Rafael D. Tordecilla; Juliana Castaneda; Angel A. Juan; Javier Faulin. Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation. Energies 2021, 14, 5131 .

AMA Style

Leandro Do C. Martins, Rafael D. Tordecilla, Juliana Castaneda, Angel A. Juan, Javier Faulin. Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation. Energies. 2021; 14 (16):5131.

Chicago/Turabian Style

Leandro Do C. Martins; Rafael D. Tordecilla; Juliana Castaneda; Angel A. Juan; Javier Faulin. 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation." Energies 14, no. 16: 5131.

Journal article
Published: 04 August 2021 in Energies
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Urban distribution in medium-sized cities faces a major challenge, mainly when deliveries are difficult in the city center due to: an increase of e-commerce, weak public transportation system, and the promotion of urban sustainability plans. As a result, private cars, public transportation, and freight transportation compete for the same space. This paper analyses the current state for freight logistics in the city center of Pamplona (Spain) and proposes alternative transportation routes and transportation modes in the last-mile city center distribution according to different criteria evaluated by residents. An analytic hierarchy process (AHP) was developed. A number of alternatives have been assessed considering routes and transportation modes: the shortest route criterion and avoiding some city center area policies are combined with traditional van-based, bike, and aerial (drone) distribution protocols for delivering parcels and bar/restaurant supplies. These alternatives have been evaluated within a multicriteria framework in which economic, environmental, and social objectives are considered at the same time. The point in this multicriteria framework is that the criteria/alternative AHP weights and priorities have been set according to a survey deployed in the city of Pamplona (Navarre, Spain). The survey and AHP results show the preference for the use of drone or bike distribution in city center in order to reduce social and environmental issues.

ACS Style

Adrian Serrano-Hernandez; Aitor Ballano; Javier Faulin. Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities. Energies 2021, 14, 4748 .

AMA Style

Adrian Serrano-Hernandez, Aitor Ballano, Javier Faulin. Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities. Energies. 2021; 14 (16):4748.

Chicago/Turabian Style

Adrian Serrano-Hernandez; Aitor Ballano; Javier Faulin. 2021. "Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities." Energies 14, no. 16: 4748.

Journal article
Published: 27 June 2021 in Journal of Cleaner Production
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Road transportation constitutes a key sector in developed countries, as an essential catalyst for economic and social activities. Nevertheless, it is relevant to emphasize the negative impacts of this activity identified in Economics as negative externalities. At the European Union, road transportation is the main cause of the air pollution impact on the population. Thus, this study explores the factors that influence the willingness to pay (WTP) on behalf of the citizens to reduce air pollution generated by road transport. In doing so, we propose two fundamental theoretical frameworks to explain individual behavior towards the environment actions: the Theory of Planned Behavior (TPB) and the Value-Belief-Norm (VBN) models. A questionnaire survey with 1,612 residents was used to collect data in 65 localities located in the Spanish Pyrenees and performing a statistical analysis with the resulting data relied on application of Structural Equation Models (SEM). Moreover, the survey results highlight the importance of psychological aspects as predictors of pro-environmental behaviors. Our empirical results provide a novel contribution about how governments and educational policies can enhance the positive attitude towards environmental actions, unifying the struggle in favor of environmental protection from early childhood.

ACS Style

Mercedes Sánchez-García; Ferdaous Zouaghi; Fernando Lera-López; Javier Faulin. An extended behavior model for explaining the willingness to pay to reduce the air pollution in road transportation. Journal of Cleaner Production 2021, 314, 128134 .

AMA Style

Mercedes Sánchez-García, Ferdaous Zouaghi, Fernando Lera-López, Javier Faulin. An extended behavior model for explaining the willingness to pay to reduce the air pollution in road transportation. Journal of Cleaner Production. 2021; 314 ():128134.

Chicago/Turabian Style

Mercedes Sánchez-García; Ferdaous Zouaghi; Fernando Lera-López; Javier Faulin. 2021. "An extended behavior model for explaining the willingness to pay to reduce the air pollution in road transportation." Journal of Cleaner Production 314, no. : 128134.

Article
Published: 01 June 2021 in Environmental Modeling & Assessment
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We designed a survey that aims at estimating individual willingness-to-pay to reduce noise and air pollution arising from transportation activity near the Pyrenees in Navarre (Spain). Our participants cope with a series of contingent valuation questions and also with an economic experiment with real incentives about the same topic. Our goal is to identify several methodological problems in the valuation process coming from hypothetical bias, correlation effect and sequence effect when series of responses are requested. Our main results are that hypothetical bias is significant, because the willingness-to-pay is greater when the survey is hypothetical compared to when there is real monetary incentive. Likewise, the correlation effect also observes the same behavior since the willingness-to-pay for pollution mitigation is close to the one established for noise reduction. Finally, we have obtained mixed evidence for the sequence effect, being present only in the contingent valuation survey part.

ACS Style

Laurent Denant-Boemont; Javier Faulin; Sabrina Hammiche; Adrian Serrano-Hernandez. Valuations of Transport Nuisances and Cognitive Biases: A Survey Laboratory Experiment in the Pyrenees Region. Environmental Modeling & Assessment 2021, 1 -16.

AMA Style

Laurent Denant-Boemont, Javier Faulin, Sabrina Hammiche, Adrian Serrano-Hernandez. Valuations of Transport Nuisances and Cognitive Biases: A Survey Laboratory Experiment in the Pyrenees Region. Environmental Modeling & Assessment. 2021; ():1-16.

Chicago/Turabian Style

Laurent Denant-Boemont; Javier Faulin; Sabrina Hammiche; Adrian Serrano-Hernandez. 2021. "Valuations of Transport Nuisances and Cognitive Biases: A Survey Laboratory Experiment in the Pyrenees Region." Environmental Modeling & Assessment , no. : 1-16.

Journal article
Published: 15 March 2021 in Logistics
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The rapid growth of urbanisation and e-commerce has increased the number of home deliveries that need to be made in retail operations. Consequently, there is also an increase in unexpected incidents, such as adverse traffic, unavailability of parking space, and vehicle breakdowns. These disruptions result in delays, higher costs, and lower service levels in the last-mile delivery operation. Motivated by free, innovative, and efficient tools, such as the Google application programming interface (API) and Google OR, we built a model to measure the impact of disruptions in the last-mile delivery operation. Our model considers customers’ geographic information, speed estimation between nodes, routing optimisation, and disruption evaluation. Disruptions are considered here as external factors such as accidents and road works that imply the closure of or slow access to certain roads. Computational experiments, based on a set of real data from three different cities around the world, which contrast in size and characteristics (i.e., Boston, US; Bogotá, Colombia; and Pamplona, Spain), were conducted to validate our approach. The tests consider 50 different instances of up to 100 customers per city and analyse the impact of disruptions in terms of travelled time and distance. Our results provide managerial insights for key stakeholders (i.e., carriers, consumers, and government) to define policies and development plans that improve the resilience and capabilities of cities’ transportation systems.

ACS Style

Andrés Muñoz-Villamizar; Elyn Solano-Charris; Lorena Reyes-Rubiano; Javier Faulin. Measuring Disruptions in Last-Mile Delivery Operations. Logistics 2021, 5, 17 .

AMA Style

Andrés Muñoz-Villamizar, Elyn Solano-Charris, Lorena Reyes-Rubiano, Javier Faulin. Measuring Disruptions in Last-Mile Delivery Operations. Logistics. 2021; 5 (1):17.

Chicago/Turabian Style

Andrés Muñoz-Villamizar; Elyn Solano-Charris; Lorena Reyes-Rubiano; Javier Faulin. 2021. "Measuring Disruptions in Last-Mile Delivery Operations." Logistics 5, no. 1: 17.

Journal article
Published: 02 February 2021 in Sustainability
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The need for effective freight and human transportation systems has consistently increased during the last decades, mainly due to factors such as globalization, e-commerce activities, and mobility requirements. Traditionally, transportation systems have been designed with the main goal of reducing their monetary cost while offering a specified quality of service. During the last decade, however, sustainability concepts are also being considered as a critical component of transportation systems, i.e., the environmental and social impact of transportation activities have to be taken into account when managers and policy makers design and operate modern transportation systems, whether these refer to long-distance carriers or to metropolitan areas. This paper reviews the existing work on different scientific methodologies that are being used to promote Sustainable Transportation Systems (STS), including simulation, optimization, machine learning, and fuzzy sets. This paper discusses how each of these methodologies have been employed to design and efficiently operate STS. In addition, the paper also provides a classification of common challenges, best practices, future trends, and open research lines that might be useful for both researchers and practitioners.

ACS Style

Rocio de la Torre; Canan Corlu; Javier Faulin; Bhakti Onggo; Angel Juan. Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications. Sustainability 2021, 13, 1551 .

AMA Style

Rocio de la Torre, Canan Corlu, Javier Faulin, Bhakti Onggo, Angel Juan. Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications. Sustainability. 2021; 13 (3):1551.

Chicago/Turabian Style

Rocio de la Torre; Canan Corlu; Javier Faulin; Bhakti Onggo; Angel Juan. 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications." Sustainability 13, no. 3: 1551.

Journal article
Published: 12 January 2021 in Algorithms
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E-commerce has boosted in the last decades because of the achievements of the information and telecommunications technology along with the changes in the society life-style. More recently, the groceries online purchase (or e-grocery), has also prevailed as a way of making the weekly shopping, particularly, the one including fresh vegetables and fruit. Furthermore, this type of virtual shopping in supermarkets is gaining importance as the most efficient delivery system in cost and time. Thus, we have evaluated in this study the influence of the cooperation-based policies on costs and service quality among different supermarkets in Pamplona, Spain. Concerning methodology, first of all, we carried out a survey in Pamplona having the purpose of modelling the demand patterns about e-grocery. Second, we have developed an agent-based simulation model for generating scenarios in non-cooperative, limited cooperation, and full cooperation settings, considering the real data obtained from the survey analysis. At this manner, Vehicle Routing Problems (VRP) and Multi Depot VRPs (MDVRP) are dynamically generated and solved within the simulation framework using a biased-randomization algorithm. Finally, the results show significant reductions in distance driven and lead times when employing horizontal cooperation in e-grocery distribution.

ACS Style

Adrian Serrano-Hernandez; Rocio De La Torre; Luis Cadarso; Javier Faulin. Urban e-Grocery Distribution Design in Pamplona (Spain) Applying an Agent-Based Simulation Model with Horizontal Cooperation Scenarios. Algorithms 2021, 14, 20 .

AMA Style

Adrian Serrano-Hernandez, Rocio De La Torre, Luis Cadarso, Javier Faulin. Urban e-Grocery Distribution Design in Pamplona (Spain) Applying an Agent-Based Simulation Model with Horizontal Cooperation Scenarios. Algorithms. 2021; 14 (1):20.

Chicago/Turabian Style

Adrian Serrano-Hernandez; Rocio De La Torre; Luis Cadarso; Javier Faulin. 2021. "Urban e-Grocery Distribution Design in Pamplona (Spain) Applying an Agent-Based Simulation Model with Horizontal Cooperation Scenarios." Algorithms 14, no. 1: 20.

Regular article
Published: 30 November 2020 in OR Spectrum
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This paper considers the problem of supporting immediate response operations after a disaster with information about the available road network to reach certain locations. We propose an online algorithm that aims to minimize the route length required by an unmanned aerial vehicle (UAV) to explore the road accessibility of potential victim locations. It is assumed that no information about disruptions in the road network is available at the start of the exploration. The online algorithm applies two movement and three orientation strategies. Additionally, a cutting strategy is used to restrict the search space after new information about the state of single roads is obtained. We consider a road and an aerial network for the movements of the UAV, since it is not necessary to follow the route of a road any longer, if it can be marked as disrupted. In extensive numerical studies with artificial and real-world test instances, it is evaluated for different disruption levels, which combinations of movement and orientation strategies perform best. Additionally, we propose different refuelling strategies for the UAV and present how they differ in the number of refuelling operations and the required additional route length. The results show that an efficient online algorithm can save valuable exploration time.

ACS Style

Lorena Reyes-Rubiano; Jana Voegl; Klaus-Dieter Rest; Javier Faulin; Patrick Hirsch. Exploration of a disrupted road network after a disaster with an online routing algorithm. OR Spectrum 2020, 43, 289 -326.

AMA Style

Lorena Reyes-Rubiano, Jana Voegl, Klaus-Dieter Rest, Javier Faulin, Patrick Hirsch. Exploration of a disrupted road network after a disaster with an online routing algorithm. OR Spectrum. 2020; 43 (1):289-326.

Chicago/Turabian Style

Lorena Reyes-Rubiano; Jana Voegl; Klaus-Dieter Rest; Javier Faulin; Patrick Hirsch. 2020. "Exploration of a disrupted road network after a disaster with an online routing algorithm." OR Spectrum 43, no. 1: 289-326.

Journal article
Published: 07 November 2020 in Expert Systems with Applications
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This paper analyzes a stochastic version of the vehicle routing problem in which customers’ demands are not only stochastic but also correlated. In order to solve this stochastic and correlated optimization problem, a simheuristic approach is combined with an adaptive demand predictor. This predictor is based on the use of machine learning methods and Petri nets. The information on real demands, provided by the vehicles as they visit the nodes of the logistic network, allows for a real-time forecast of the demand, as well as for an updated estimate of the correlation between them. A constrained prediction is provided by our hybrid algorithm, which is able to forecast an increase of 50% in the mean value of the demands of all nodes. With a very limited amount of information and reduced computational requirements, our algorithm provides a forecast with a high degree of reliability and a balanced capacity to reject false positives as well as false negatives. To illustrate its effectiveness, the methodology is applied to a wide range of benchmarks. The results show the benefits of applying this methodology in a context of correlated variation of the demands.

ACS Style

Juan I. Latorre-Biel; Daniele Ferone; Angel A. Juan; Javier Faulin. Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands. Expert Systems with Applications 2020, 168, 114240 .

AMA Style

Juan I. Latorre-Biel, Daniele Ferone, Angel A. Juan, Javier Faulin. Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands. Expert Systems with Applications. 2020; 168 ():114240.

Chicago/Turabian Style

Juan I. Latorre-Biel; Daniele Ferone; Angel A. Juan; Javier Faulin. 2020. "Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands." Expert Systems with Applications 168, no. : 114240.

Journal article
Published: 01 November 2020 in European Journal of Operational Research
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The transport sector leads to detrimental effects on the economy, environment, and citizens quality of life. During recent years, some key-performance indicators have been proposed to quantify these negative impacts on the economic, environmental, and social dimensions of the sustainability concept. In this paper, we consider the sustainable vehicle routing problem that takes into account the aforementioned dimensions. We propose a weighted sum model and an epsilon-constraint model that combine the three dimensions, as well as a biased-randomised iterated greedy algorithm to solve the integrated problem. A comprehensive set of experiments and sensitivity analysis have been carried out with newly generated instances, which were adapted from existing vehicle routing benchmark instances. The sensitivity analysis is performed to measure the impact of each sustainability dimension and investigate trade-offs among them.

ACS Style

Hassana Abdullahi; Lorena Reyes-Rubiano; Djamila Ouelhadj; Javier Faulin; Angel A. Juan. Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. European Journal of Operational Research 2020, 292, 143 -154.

AMA Style

Hassana Abdullahi, Lorena Reyes-Rubiano, Djamila Ouelhadj, Javier Faulin, Angel A. Juan. Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. European Journal of Operational Research. 2020; 292 (1):143-154.

Chicago/Turabian Style

Hassana Abdullahi; Lorena Reyes-Rubiano; Djamila Ouelhadj; Javier Faulin; Angel A. Juan. 2020. "Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem." European Journal of Operational Research 292, no. 1: 143-154.

Journal article
Published: 02 March 2020 in Energies
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From airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy. These vast amounts of energy have to be produced somewhere—ideally by using sustainable sources—and then brought to the transportation system. Energy is a scarce and costly resource, which cannot always be produced from renewable sources. Therefore, it is critical to consume energy as efficiently as possible, that is, transportation activities need to be carried out with an optimal intake of energetic means. This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes. The paper also analyzes how optimization methods—of both exact and approximate nature—have been used to deal with these energy-optimization problems. Finally, it provides insights and discusses open research opportunities regarding the use of new intelligent algorithms—combining metaheuristics with simulation and machine learning—to improve the efficiency of energy consumption in transportation.

ACS Style

Canan G. Corlu; Rocio De La Torre; Adrian Serrano-Hernandez; Angel A. Juan; Javier Faulin. Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities. Energies 2020, 13, 1115 .

AMA Style

Canan G. Corlu, Rocio De La Torre, Adrian Serrano-Hernandez, Angel A. Juan, Javier Faulin. Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities. Energies. 2020; 13 (5):1115.

Chicago/Turabian Style

Canan G. Corlu; Rocio De La Torre; Adrian Serrano-Hernandez; Angel A. Juan; Javier Faulin. 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities." Energies 13, no. 5: 1115.

Book chapter
Published: 01 January 2019 in Sustainable Transportation and Smart Logistics
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ACS Style

Enrique Alba; Alexandra Anderluh; Pol Arias; Jaume Barceló; Tolga Bektaş; Joschka Bischoff; Paula Carroll; Laurent Denant-Boemont; Okan Dukkanci; Majid Eskandarpour; Javier Faulin; Graham Fletcher; Harry Geerlings; David Goldsman; Scott E. Grasman; Manfred Gronalt; Daniel Guimarans; Sabrina Hammiche; Steven S. Harrod; Leonard Heilig; Vera C. Hemmelmayr; Patrick Hirsch; Angel A. Juan; Bahar Y. Kara; Peter Keenan; Eduardo Lalla-Ruiz; Raimundo José Macário Costa; Michal Maciejewski; Pamela C. Nolz; Djamila Ouelhadj; Martin Posset; Sonja M. Protic; Markus Rabe; Afonso Sampaio; Martin Savelsbergh; Ralf-Charley Schultze; Sérgio Manuel Serra Da Cruz; Daniel H. Stolfi; Maurizio Tomasella; Ron Van Duin; Tom Van Woensel; Lucas Veelenturf; Jana Voegl; Stefan Voß; Cheng-Lung Wu. List of Contributors. Sustainable Transportation and Smart Logistics 2019, 1 .

AMA Style

Enrique Alba, Alexandra Anderluh, Pol Arias, Jaume Barceló, Tolga Bektaş, Joschka Bischoff, Paula Carroll, Laurent Denant-Boemont, Okan Dukkanci, Majid Eskandarpour, Javier Faulin, Graham Fletcher, Harry Geerlings, David Goldsman, Scott E. Grasman, Manfred Gronalt, Daniel Guimarans, Sabrina Hammiche, Steven S. Harrod, Leonard Heilig, Vera C. Hemmelmayr, Patrick Hirsch, Angel A. Juan, Bahar Y. Kara, Peter Keenan, Eduardo Lalla-Ruiz, Raimundo José Macário Costa, Michal Maciejewski, Pamela C. Nolz, Djamila Ouelhadj, Martin Posset, Sonja M. Protic, Markus Rabe, Afonso Sampaio, Martin Savelsbergh, Ralf-Charley Schultze, Sérgio Manuel Serra Da Cruz, Daniel H. Stolfi, Maurizio Tomasella, Ron Van Duin, Tom Van Woensel, Lucas Veelenturf, Jana Voegl, Stefan Voß, Cheng-Lung Wu. List of Contributors. Sustainable Transportation and Smart Logistics. 2019; ():1.

Chicago/Turabian Style

Enrique Alba; Alexandra Anderluh; Pol Arias; Jaume Barceló; Tolga Bektaş; Joschka Bischoff; Paula Carroll; Laurent Denant-Boemont; Okan Dukkanci; Majid Eskandarpour; Javier Faulin; Graham Fletcher; Harry Geerlings; David Goldsman; Scott E. Grasman; Manfred Gronalt; Daniel Guimarans; Sabrina Hammiche; Steven S. Harrod; Leonard Heilig; Vera C. Hemmelmayr; Patrick Hirsch; Angel A. Juan; Bahar Y. Kara; Peter Keenan; Eduardo Lalla-Ruiz; Raimundo José Macário Costa; Michal Maciejewski; Pamela C. Nolz; Djamila Ouelhadj; Martin Posset; Sonja M. Protic; Markus Rabe; Afonso Sampaio; Martin Savelsbergh; Ralf-Charley Schultze; Sérgio Manuel Serra Da Cruz; Daniel H. Stolfi; Maurizio Tomasella; Ron Van Duin; Tom Van Woensel; Lucas Veelenturf; Jana Voegl; Stefan Voß; Cheng-Lung Wu. 2019. "List of Contributors." Sustainable Transportation and Smart Logistics , no. : 1.

Book chapter
Published: 01 January 2019 in Sustainable Transportation and Smart Logistics
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ACS Style

Javier Faulin; Scott E. Grasman; Angel A. Juan; Patrick Hirsch. Sustainable Transportation. Sustainable Transportation and Smart Logistics 2019, 3 -23.

AMA Style

Javier Faulin, Scott E. Grasman, Angel A. Juan, Patrick Hirsch. Sustainable Transportation. Sustainable Transportation and Smart Logistics. 2019; ():3-23.

Chicago/Turabian Style

Javier Faulin; Scott E. Grasman; Angel A. Juan; Patrick Hirsch. 2019. "Sustainable Transportation." Sustainable Transportation and Smart Logistics , no. : 3-23.

Preface
Published: 16 November 2018 in Sustainable Transportation and Smart Logistics
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ACS Style

Javier Faulin; Scott E. Grasman; Angel A. Juan; Patrick Hirsch. Preface. Sustainable Transportation and Smart Logistics 2018, 1 .

AMA Style

Javier Faulin, Scott E. Grasman, Angel A. Juan, Patrick Hirsch. Preface. Sustainable Transportation and Smart Logistics. 2018; ():1.

Chicago/Turabian Style

Javier Faulin; Scott E. Grasman; Angel A. Juan; Patrick Hirsch. 2018. "Preface." Sustainable Transportation and Smart Logistics , no. : 1.

Journal article
Published: 01 November 2018 in INFORMS Journal on Applied Analytics
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This work highlights how mathematical programming modeling supported the decision-making process of locating a biorefinery in Northern Spain. Through close cooperation with relevant stakeholders, we considered a wide range of influencing factors such as supply and storage strategies, transport infrastructure, and individual characteristics of biomass products. The findings of this study provided decision makers with a ranking of potential locations and highlighted the importance of facilitating intermediate storage points for supplying the biorefinery. Currently, the Government of Navarre (Spain) is evaluating the results for its economic sustainability and plans to make the final decision on one of the top-ranked locations in the near future.

ACS Style

Adrian Serrano-Hernandez; Jesus M. Pintor; Javier Faulin; Christian Fikar; Irantzu Alegria; Pablo Astiz. Practice Summary: Deriving the Optimal Location of a Biorefinery in Northern Spain. INFORMS Journal on Applied Analytics 2018, 48, 596 -600.

AMA Style

Adrian Serrano-Hernandez, Jesus M. Pintor, Javier Faulin, Christian Fikar, Irantzu Alegria, Pablo Astiz. Practice Summary: Deriving the Optimal Location of a Biorefinery in Northern Spain. INFORMS Journal on Applied Analytics. 2018; 48 (6):596-600.

Chicago/Turabian Style

Adrian Serrano-Hernandez; Jesus M. Pintor; Javier Faulin; Christian Fikar; Irantzu Alegria; Pablo Astiz. 2018. "Practice Summary: Deriving the Optimal Location of a Biorefinery in Northern Spain." INFORMS Journal on Applied Analytics 48, no. 6: 596-600.

Journal article
Published: 30 October 2018 in Transportation Research Procedia
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The city of Pamplona, in Spain, is currently experiencing several changes regarding sustainable mobility such as pedestrianization of some streets in the city center, and access control to the Old Town for motor vehicles through the use of automatic number-plate recognition. However, some groups including local neighbors and businesses are raising complaints as they are being affected by these measures. This is also the case for couriers and logistics companies which have now to comply with new regulations regarding delivery routes throughout the Old Town. This paper will present a comprehensive study of the situation that is being carried out, and in which social perceptions and freight traffic patterns in the Old Town of Pamplona are analyzed to understand how urban freight distribution could be improved in the area. For this purpose, we make use of a survey-based research to the stakeholders, i.e. pedestrians, logistics companies, retailers, and authorities of Pamplona. Results highlight pollution derived from transportation, lack of parking spaces as well as invasion of public spaces in the city center as the key issues for improving freight transportation in the Old Town. Finally, placing a distribution center in the Old Town and the promotion of the cycle-logistics are considered as the future of the urban distribution in Pamplona.

ACS Style

Pablo Alvarez; Adrian Serrano-Hernandez; Javier Faulin; Angel A. Juan. Using Modelling Techniques to Analyze Urban Freight Distribution. A Case Study in Pamplona (Spain). Transportation Research Procedia 2018, 33, 67 -74.

AMA Style

Pablo Alvarez, Adrian Serrano-Hernandez, Javier Faulin, Angel A. Juan. Using Modelling Techniques to Analyze Urban Freight Distribution. A Case Study in Pamplona (Spain). Transportation Research Procedia. 2018; 33 ():67-74.

Chicago/Turabian Style

Pablo Alvarez; Adrian Serrano-Hernandez; Javier Faulin; Angel A. Juan. 2018. "Using Modelling Techniques to Analyze Urban Freight Distribution. A Case Study in Pamplona (Spain)." Transportation Research Procedia 33, no. : 67-74.

Journal article
Published: 23 August 2018 in International Journal of Logistics Research and Applications
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ACS Style

Andrés Muñoz-Villamizar; Carlos L. Quintero-Araújo; Jairo R. Montoya-Torres; Javier Faulin. Short- and mid-term evaluation of the use of electric vehicles in urban freight transport collaborative networks: a case study. International Journal of Logistics Research and Applications 2018, 22, 229 -252.

AMA Style

Andrés Muñoz-Villamizar, Carlos L. Quintero-Araújo, Jairo R. Montoya-Torres, Javier Faulin. Short- and mid-term evaluation of the use of electric vehicles in urban freight transport collaborative networks: a case study. International Journal of Logistics Research and Applications. 2018; 22 (3):229-252.

Chicago/Turabian Style

Andrés Muñoz-Villamizar; Carlos L. Quintero-Araújo; Jairo R. Montoya-Torres; Javier Faulin. 2018. "Short- and mid-term evaluation of the use of electric vehicles in urban freight transport collaborative networks: a case study." International Journal of Logistics Research and Applications 22, no. 3: 229-252.

Journal article
Published: 20 August 2018 in Journal of Cleaner Production
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The estimation of the noise impact caused by road freight transportation is critical to have acknowledgment of the ambiance pollution caused by road traffic crossing geographical areas containing important natural resources. Thus, our work proposes a within-subject survey where a Contingent Valuation Method (CVM) is combined with a laboratory economic experimental auction. Our study objective is to measure the willingness-to-pay (WTP) for reducing traffic noise nuisances due to freight transportation in the region of Navarre, Spain. A special focus is made regarding the measurement of the hypothetical bias, when a comparison is done between hypothetical WTP, coming from the CVM study, with real-incentivized one, as the outcome of the economic experiment. Additionally, statistical analyses are conducted in order to find explanation factors for these outcomes. Results suggest a strong evidence for an upward hypothetical bias (from 50% to 160%) indicating the income, the educational level, the gender, and the age as the main factors which explain that bias.

ACS Style

Laurent Denant-Boemont; Javier Faulin; Sabrina Hammiche; Adrian Serrano-Hernandez. Managing transportation externalities in the Pyrenees region: Measuring the willingness-to-pay for road freight noise reduction using an experimental auction mechanism. Journal of Cleaner Production 2018, 202, 631 -641.

AMA Style

Laurent Denant-Boemont, Javier Faulin, Sabrina Hammiche, Adrian Serrano-Hernandez. Managing transportation externalities in the Pyrenees region: Measuring the willingness-to-pay for road freight noise reduction using an experimental auction mechanism. Journal of Cleaner Production. 2018; 202 ():631-641.

Chicago/Turabian Style

Laurent Denant-Boemont; Javier Faulin; Sabrina Hammiche; Adrian Serrano-Hernandez. 2018. "Managing transportation externalities in the Pyrenees region: Measuring the willingness-to-pay for road freight noise reduction using an experimental auction mechanism." Journal of Cleaner Production 202, no. : 631-641.

Journal article
Published: 26 July 2018 in Transport Policy
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This research models urban freight distribution services lifecycle CO2e emissions. A lifecycle emissions minimization model for the fleet size and composition problem is presented and applied to a real-world case study. The model explicitly incorporates parking and idling emissions which are significant in multi-stop urban distribution routes. Lifecycle emission elasticities as well as the impact of logistics constraints such as route duration and vehicle cargo capacity are estimated and analyzed. Policy implications and tradeoffs between electric tricycles and conventional diesel vans are discussed.

ACS Style

Miguel Figliozzi; Jesus Saenz; Javier Faulin. Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study. Transport Policy 2018, 86, 60 -68.

AMA Style

Miguel Figliozzi, Jesus Saenz, Javier Faulin. Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study. Transport Policy. 2018; 86 ():60-68.

Chicago/Turabian Style

Miguel Figliozzi; Jesus Saenz; Javier Faulin. 2018. "Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study." Transport Policy 86, no. : 60-68.

Journal article
Published: 01 June 2018 in Simulation Modelling Practice and Theory
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ACS Style

Adrian Serrano-Hernandez; Javier Faulin; Patrick Hirsch; Christian Fikar. Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition. Simulation Modelling Practice and Theory 2018, 85, 47 -59.

AMA Style

Adrian Serrano-Hernandez, Javier Faulin, Patrick Hirsch, Christian Fikar. Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition. Simulation Modelling Practice and Theory. 2018; 85 ():47-59.

Chicago/Turabian Style

Adrian Serrano-Hernandez; Javier Faulin; Patrick Hirsch; Christian Fikar. 2018. "Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition." Simulation Modelling Practice and Theory 85, no. : 47-59.