Opportunities to improve container barge handling in the port of Rotterdam from a transport network perspective

This paper presents and evaluates an opportunity to improve the competitiveness of container barge transport in the hinterland of Rotterdam through a reorganization of container barge services. This reorganization improves the handling of barges in the port and consists of splitting existing services into a trunk line operation in the hinterland and collection/distribution operations in the seaport. A marginal cost model is used to demonstrate the potential net benefits of these revised services. The main conclusion is that these split services can improve the competitiveness of barge hinterland transport, but the effectiveness depends on several conditions. These conditions are first of all related to the design and organization of collection and distribution transport, but also to the characteristics of the trunk line operation in the hinterland.     

Segmentation by benefits sought: the case of rural tourism in Madeira

Rural tourism has been promoted as an effective catalyst for growth in rural areas severely hit by the rural structuring process. However, with regard to islands, rural tourism has been mainly advertised and promoted as a counterpoint to mass tourism. While in most Western countries rural tourism has been in place for decades, islands have been pursuing a rural tourism agenda only since the 1990s. Consequently, we face a dearth of research regarding motivation factors that attract tourists to the rural hinterland on islands. The purpose of this study is to segment and profile rural tourists based on benefits sought in order to gain a better understanding of the current demand trends. The data collection procedure were based on a self-administered survey applied to a sample of 180 tourists, and four clusters were identified. The relaxer cluster which comprises individuals attracted by opportunities to relax and recharge batteries, are the most dominant, suggesting that the sector mimics, to a large extent, the main tourism market. This is a problematic outcome because the sector is failing to attract a more diverse and wealthy clientele. Due attention should also be paid to other clusters. The ruralist segment values relaxation in natural segments to escape from daily routine, the ‘want it all segment’ is composed of tourists interested in all kind of activities and the family-oriented cluster is mainly interested in socialising with the family. Implications of our preliminary conclusions for theory and practice are discussed.     

The barge and rail freight market for export-bound grain movement from midwest to Mexican Gulf: an econometric analysis

An econometric model of the barge and rail freight market is developed so that factors which influence barge and rail rates for export-bound grain from Midwest to Mexican Gulf can be better understood. Three-stage least squares method is used to estimate the system of four equations that constitute the model. A number of identified factors turned out to be significant in determining grains rail and barge transportation rates. Given the interactive nature of supply and demand processes it is difficult to pinpoint a single most important factor. Yet it is clear that a substitute nature of the two transportation modes in addition to direct price-quantity relationship determine most of the transportation rates.     

Network analysis of container barge transport in the port of Antwerp by means of simulation

Inland navigation plays an important role in the hinterland access of the port of Antwerp. In this paper alternative bundling strategies for container barge transport in the port of Antwerp are analyzed. Four alternative hub scenarios are simulated and compared with the current situation with respect to the operational characteristics of the network. Discrete event simulation is used to analyze the impact on waiting times and capacity utilization at potential hubs and at sea terminals. The hub scenarios under investigation are the organization of an intermodal barge hub on the right river bank, an intermodal hub on the left river bank, a first multihub scenario with a local collection/distribution network and a potentially improved multihub scenario taking into account the specific structure of the port of Antwerp. The second multihub scenario offers most opportunities for reducing the turnaround time of all inland terminals. All hub scenarios lead to important efficiency improvements in the handling of barges at sea terminals.     

Delivery to homes or collection points? A sustainability analysis for urban,urbanised and rural areas in Belgium

E-commerce is a rapidly growing and evolving sector. The sector is however struggling with organising its last mile deliveries in order to meet the sustainability requirements, both economically and environmentally. Multiple studies have compared deliveries to collection points with deliveries to residential home addresses in sustainability terms. The variety in results indicates that these studies are bound to local parameters (such as regulations, drop densities, collection point networks). Consequently, their results cannot be generalised or transferred to other contexts. In this research, we compare deliveries to stores serving as collection points and homes for online ordered non-food products in Belgium. The solutions are simulated with agent-based transport model TRABAM. The results are evaluated based on their generated external costs and differentiated according to three area types: urban, urbanised and rural areas. Considering the case-specific density of the collection points, the results indicate that home deliveries are preferred in rural and urbanised areas when considering the sustainability impact solely. In urban areas, collection point deliveries are more sustainable.     

Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan,China

With the rapid infrastructure development and economic growth in China, household car ownership in the country's rural areas has changed dramatically in the past 16 years. The total number of cars owned by households in rural areas is currently 12 times higher than it was 16 years ago. The exploration of the effects of the built environment on household car ownership in China's rural areas is worthwhile. However, few studies have investigated this topic. To fill in the research gap, this work collected 374 household data from rural areas in China to examine the effects of the built environment in Sichuan's rural areas on the number of cars in a household. It considered family structure, socioeconomic characteristics, and individual's perceptions of the built environment, preferences towards the built environment and attitudes towards car ownership (shortened to perceptions, preferences and attitudes from now on). Geographic information system (GIS) technology, combined with on-site measurement, was used for data collection. The multinomial logit model was applied for estimation. Household structure and the built environment (including the perceived built environment and the objective built environment) significantly influence the number of cars in a household. By contrast, preference and attitude attributes have less influence on car ownership. Most of the findings are in line with the literature in the context of Chinese cities. Nevertheless, new results are also found. For example, rural hukou, and building density have significant positive impacts on household car ownership in China's rural areas, which is in contrast with their effects on cities. As the first study on rural areas in China, this research provides some insights for rural planners and policymakers to understand better the relationship between built environment and household car ownership.     

On the design of closed-loop networks for product life cycle management: Economic,environmental and geography considerations

The management of the product life cycle needs industrial synergies along large-scale networks to collect, recycle, reuse, and recover the end-of-life products. This paper provides a tool to assess the enabling economic, environmental, and transport geography conditions to design sustainable closed-loop networks for the management of a generic product along its life-cycle. The proposed tool is built through a mixed-integer linear programming (MILP) model for the strategic design of a multi-echelon closed-loop network. The product life cycle is handled via a cascade through seven stages, including raw material suppliers, manufacturing plants, distribution centers, retailers, collection nodes for waste and by-products, recycling centers, and landfills.The model minimizes a cost-based and a carbon-based function to determine the optimal geographic location of the nodes of the network and the allocation of transport flows. The model is applied to a case study inspired by the furniture industry over the Italian geography and a multi-scenario analysis is illustrated. The resulting considerations on the economic, environmental performances of the network couple with the transport geography to provide guidelines for designer, logistics planners and regional geographers toward a circular economy scenario.     

Empty container management for intermodal transportation networks

We present a computational analysis of the effect of planning horizon length on empty container management for intermodal transportation networks. The analysis is based on an integer program that seeks to minimize total costs related to moving empty containers, subject to meeting requirements for moving loaded containers. A case study of potential container-on-barge operations within the Mississippi River basin illustrates the effects of planning horizon length on mode selection. A longer planning horizon can encourage the use of inexpensive, slow transportation modes, such as barge. The impact depends on the number and location of container storage pools.     

The value of specific cargo information for substitutable modes of inland transport

Communication about containers onboard a cargo carrier approaching a harbor with a hinterland operator who is to receive the containers usually reveals the total amount of goods (aggregate number of containers) to be transported inland upon unloading at the arrival dock. This communication is useful for the hinterland operator to plan and deploy its transport capacities. However, further transport of containers on the hinterland involve various transport modes at differing costs. For example, the delivery time requirement of a container dictates the most appropriate mode of inland transport, be it truck, rail, or barge, in decreasing order of speed, flexibility and cost, to move the container to the next destination. In general there may be several types of delivery time requirements and containers of each type is most economically moved inland in a corresponding transport mode. Trucking is usually used for containers that need urgent delivery and train or barge for not so urgent types. In order to efficiently plan the transport capacities for after-arrival conveyance of containers having multi-type delivery time requirements, not only should the aggregate number of containers, but also the number of containers of each type, be made available to the hinterland operator. We consider several information scenarios and in each scenario we solve a single-period capacity planning serving multi-type demands with product substitution. We then compare expected transport costs between information scenarios to evaluate the benefit of specific cargo information in improving the next-step transporting after containers are unloaded at the port of entry.     

Allocating collaborative costs in multimodal barge networks for freight bundling

In order to improve the competitive position and efficiency level of multimodal transport, consolidation of freight flows is often suggested. Bundling networks require cooperation between multiple partners in the multimodal transport chain. In this context, the question rises how benefits may be allocated fairly among the spatially distributed participants in the cooperation. A great deal of scientific literature reports on the behavior of allocation methods in collaborations between shippers or carriers making use of unimodal road transport. However, research on cost or savings allocation methods in multimodal transport is scarce. The main contribution of this paper is thus to provide a first insight in the complexity of sharing cost savings fairly among shippers who bundle freight flows in order to reach economies of scale in multimodal barge transport. By applying four different allocation methods to two realistic case studies, a comparison is made between simple and straightforward allocation mechanisms and more advanced techniques based on cooperative game theory. Special attention is paid to the savings division among coalition partners and collaborative stability. Results demonstrate the influence of cooperation characteristics on allocation outcomes and underline the value of carefully selecting appropriate allocation mechanisms when long-term stability of the multimodal barge collaboration is aspired.     

Designing minimum-cost recycling collection networks with required throughput

The problem of designing minimum-cost recycling networks with required throughput is a subset of the broader class of facility location problems in which the recycler wishes to determine the optimal number and location of receiving centers as well as the correct financial incentive to be offered in order to stimulate collection of used or unrecoverable products to a degree required for regulatory reasons or otherwise. This paper presents a conceptual framework, an analytical model, and a three-stage algorithmic solution for this problem. An illustrative case study in the recycling of unrecoverable tires in southern states of Brazil is presented.     

Towards collaborative, intermodal hub networks: A case study in the fast moving consumer goods market

Collaborative hub networks can provide an answer to the need to decrease logistics cost and maintain logistics service levels by shifting consolidated flows to modes that are better suited for handling large volumes (rail, barge, coastal shipping), so economies of scale can be obtained. This necessity has been increased by the tendency of globalization of industries, smaller shipments sizes, high frequencies, and the fragmentation of flows. Through collaboration the necessary synchronization between expensive but fast and flexible means of transport and inexpensive, but slow and inflexible means can be combined in an intermodal hub network. This paper shows the rationale behind these collaborative hub networks, based on the literature on the design of many-to-many hub networks. The resulting methodology is explained through presenting the results of the design and implementation of collaborative hub network for the distribution of fast moving consumer goods using a combination of trucking and inland barges. This concept, first proposed by Vermunt [Vermunt, A.J.M., 1999. Multilognet, the intelligent multimodal logistics network, an important node in the worldwide logistics net, Vermunt Logistiek Advies v.o.f., working paper (in Dutch)], won the European Intermodal Award of the European Intermodal Association in 2003, and after extensive research was launched in The Netherlands as a commercial pilot by logistics service provider Vos Logistics and barge operator Riverhopper in January 2004.     

European intermodal freight transport network: Market structure analysis

The analysis of market structure and concentration measures for the Intermodal Freight Transport (IFT) market is important to avoid market failure and to find the areas for policy making to promote IFT market share. This analysis can be performed for separate segments, for example, the market for transshipment service or the market for main-haulage service. However, due to the multistage characteristic of IFT service, the segmental analysis gives an incomplete view of the IFT market at the network level. In a previous paper (Saeedi et al., 2017), we present the Intermodal Freight Transport Market Structure (IFTMS) model to conduct a network-based study of the IFTMS in which distinctive actors (i.e., pre/post haulage operators, terminals, rail/barge operators, transport chains, and corridors) are competing at different levels inside distinctive markets to deliver an integrated IFT service. There are two main challenges in the application of IFTMS model in real cases, for example, the European IFT network. First, the definition of the geographical and spatial border of the transshipment market areas is needed to determine which actors are potentially competing for a specific service demand. The second challenge is the lack of disaggregated data and the consistency of existing data in nodes (i.e., the transshipment areas) and links (i.e., the rail and barge operators). To cope with these challenges, we develop a four-step methodology in which a model-based approach is used to define the geographic boundaries of the transshipment submarkets and provide detailed and consistent data for market analysis. We also apply the IFTMS model to study the market structure of European intermodal network. Our analysis shows that the majority of transshipment markets as well as main-haulage markets are highly concentrated markets. The corridor markets – which include the IFT chains – are unconcentrated markets. Furthermore, the majority of corridors in the European Union are inside highly concentrated origin-destination markets.     

Location analysis for the modal shift of palletized building materials

At present, the distribution of palletized building materials is mostly carried out by trucks, despite their movements having negative effects on society, the economy and the environment. However, these problems can be reduced if the transport of palletized goods is shifted to inland waterways. By doing so, the goods are bundled for the main haulage by barge. In order to reduce the transport distances by truck to an absolute minimum, a possible last-mile distribution would have to be organized via a limited number of directly canal-served hubs. The locations of those hubs are crucial for the feasibility of modal shift. This study advances the transport geography literature by elaborating a location analysis model specifically for palletized goods. This model determines the optimal hub location by taking into account the large variation of origins and destinations of transport flows, while the introduction of a cost structure enables potential economic gains (cost savings) and reductions in CO₂ emissions to be calculated. The analysis is performed for transport data on palletized building materials in Belgium. Two concepts were defined, which resulted in an optimal intermodal network of 9 hubs and one with 27 hubs; through the implementation of these networks, respectively 26% and 38% of the transport flows can be shifted to the inland waterways at a profitable cost. It can be expected that over time these percentages will increase further.     

Understanding the Benefit Sought by Rural Tourists and Accommodation Preferences: A South Korea Case

Rural tourism has been widely acknowledged for its effectiveness in contributing to rural areas’ development. With strong government support, rural tourism has developed in many countries during the last several decades. This study aims to improve the understanding regarding tourism in Korean rural areas using a segmentation approach. The responses of 442 tourists in 23 rural villages were analyzed. Four segments of tourists were identified based on the different benefits they sought for their vacation in rural establishments. The estimation of a multinomial logit model determined the socio‐demographic characteristics and the preferred accommodations of a rural tourist. Discussions and implications of the detailed findings are provided in the last section. Copyright © 2012 John Wiley & Sons, Ltd.     

Modeling closed-loop supply chains in the electronics industry: A retailer collection application

This paper proposes a retailer collection model whereby the retailer collects end-of-life products and the manufacturer cooperates with a third-party firm to handle used products, and a non-retailer collection model whereby a third-party firm is subcontracted by the manufacturer for collection work. While the return rate, manufacturer’s profits, and channel members’ total profits of the retailer collection model are not always superior to those of the non-retailer collection model, we find that the retail collection model analytically outperforms when the third-party firm is a non-profit organization for recycling and disposal.     

Study of vehicle ownership for urban and rural households in India

Private vehicle ownership has been growing in double digits over the last decade. This paper examines the factors determining vehicle ownership for urban and rural households in India. Separate nation-wide disaggregate vehicle ownership models for urban and rural areas in India are developed using readily available consumer expenditure survey dataset. A consumption based proxy variable is assumed to represent economic standard of households. Comparison between vehicle ownership behavior of urban and rural households show that rural households are more inclined to own private vehicle than urban households with same economic standards. Amongst households with regular salaried members, rural households' preference to own two wheelers is greater than that of urban households. While the presence of elderly member or children is considered, urban households showed more preference to own four-wheeler than rural households. As a first nation-wise study to understand the differences in vehicle ownership behavior in urban and rural areas of India, this study provides a lot of useful insights which could be valuable to various stakeholders.     

A fuzzy assessment method to airport waste management: A case study of Congonhas Airport,Brazil

This study presents a fuzzy mathematical model to support and evaluate airport waste management. The model generates a waste management index, composed of three dimensions, and it was applied in a case study of Congonhas Airport, located in Brazil. In addition to the mathematical model, the nonparametric Mann-Kendall test was applied to verify the existence of bias in the obtained results. The results showed that there is a concern on the part of the airport regarding waste management, reflected in the Fuzzy Waste Management Index (FWMI) results. They also indicated that there was an improvement in waste management in 2015 compared to 2014, resulting from increased accounting for recyclables and awareness of the airport community. The developed model proved to be an important tool to support the decision making of airport managers, including aspects related to waste management steps, and there may be adjustments that may be made to include new indicators.     

Determinants of car ownership in rural and urban areas: a pseudo-panel analysis

This paper examines the factors determining car ownership for households living in rural and urban areas. A dynamic car ownership model is estimated using a pseudo-panel approach, based on data from Family Expenditure Surveys in the UK for 1982–1995. The results show that rural households' car ownership is far less sensitive to motoring costs than that of their urban counterparts. The implication of these results is that general increases in the costs of car transport would pose a considerable economic burden for rural households, and that other area-specific transport measures may be more suitable, particularly from an equity point of view.