Benefit segmentation of the container shipping market in Turkey

ABSTRACT

Marketing policies have gained more importance in container shipping as the industry experiences challenges arising from commoditization. Market segmentation is fundamental to marketing policies, yet it needs a detailed analysis in container shipping. Accordingly, this paper aims to explore homogenous customer groups in container shipping by conducting a segmentation analysis, which can help container lines apply more efficient marketing policies. A survey study is conducted on 356 shippers in Turkey. The study develops five reliable and valid selection criteria factors and applies cluster analysis based on the selection criteria factors. The cluster analysis produces a total of six benefit segments which are differentiable. The segments are significantly identified by the demographic characteristics of shippers. The paper suggests several implications for the marketing policies of container lines.     

Identifying Suitable Sites for Macroalgae Cultivation on the Swedish West Coast

Special attention has been paid to sustainable macroalgae cultivation in Europe. The question on where suitable cultivation areas lie, without conflicting with current marine socio-economic activities and respecting the environment, remains a great challenge. Considering 13 criteria critical to seaweed farming such as depth, shipping traffic, and distance to ports, this paper aimed to identify suitable and sustainable offshore areas on the West Coast of Sweden for the cultivation of the Sugar Kelp, Saccharina latissima. An integrated approach with the tools geographic information systems (GIS) and multi-criteria analysis (MCA) was used to aggregate the criteria by means of Boolean and weighted linear combination (WLC) techniques. The Boolean method singled out 544?km² as suitable, whereas the WLC method indicated 475?km² as highly suitable. Both techniques complement each other in finding optimal sites. Furthermore, the integrated models excelled in providing an overview for effective spatial decision-making that fosters sustainable development of macroalgae cultivations within marine and coastal systems.

• Highlights

• To the authors’ knowledge no study on seaweed aquaculture site selection has been conducted using such a range of criteria with the purpose of including sustainability aspects within a comparative GIS-MCDA.

• The large areas identified on the West Coast of Sweden as suitable highlight the potential of this new industry and the complexity of associated marine spatial planning.

• Boolean and weighted linear combination methods were applied and compared, providing valuable insights in the selection of methods for spatial decision-making support. These insights should support a more sustainable development of macroalgae cultivation in the region, as well as a more resilient marine spatial planning process for blue growth strategies.

     

Assessing the effects of a mixed-mode design in a longitudinal household travel survey

The German Mobility Panel (MOP) is a national household travel survey, which has been collecting data on travel behavior in Germany since 1994. One of the MOP’s central assets is its ability to provide time-series data on travel behavior. Thus, the comparability of survey results from different years is a major objective of the survey method used. Declining survey participation rates in the last decade in various socio-demographic groups resulted in the implementation of a mixed-mode design for the MOP in 2013, both for the sampling stage (landline and mobile phone recruitment) and the data collection stage (paper and web). In this study, we analyze whether the adaptations in the survey mode do indeed improve the results and, if so, why and to what degree. Ideally, the survey mode adaptions have increased the representativeness of the MOP. However, measurement biases due to the mixed-mode design are also conceivable. To decompose survey mode effects, we applied the propensity score weighting method. This method imputes the hypothetical responses participants would have given in different survey modes; disparities between actual responses and hypothetical responses under another mode are then traced back to the mixed-mode design. Our analysis indicates that trip-rate biases on shopping, leisure, and short trips are partly caused by the mixed-mode design; in contrast, quantities of time spent in the transportation system, trips made by car and public transportation, and commuting trips are hardly biased.

     

Carsharing in Switzerland: identifying new markets by predicting membership based on data on supply and demand

Transportation - This study examines the relationship between the supply and demand variables that determine the probability of individuals joining a carsharing organization, using data from the...     

Latent stage model for carsharing usage frequency estimation with Montréal case study

In order to predict the monthly usage frequency of members of a car-sharing scheme by analysing the gradual change of behaviour over time, a new model is proposed based on the Markov Chains model with latent stages. The model accounts for changing patterns of frequency from soon after signing up to later stages by including five latent user ‘life stages’. In applying the model to panel data from Montreal’s free-floating carsharing service the authors calculate each user’s ’lifetime’ applied to ‘system operation time’, the time period since the start of the scheme. Three-fold validation reveals effective performance of the model for both lifetime and system operation time dimensions. The model is further applied to illustrate how previous carsharing experience and the extension of the scheme to a larger area can affect usage frequency changes. We conclude that this approach is effective for usage prediction for novel transport schemes.

     

Scaling up cycling or replacing driving? Triggers and trajectories of bike–train uptake in the Randstad area

Transportation - The combined use of the bicycle and the train in the Netherlands has risen steadily over the past decade. However, little is yet known about the underlying processes driving the...     

Reducing CO<Subscript>2</Subscript> from cars in the European Union

The European Union (EU) recently adopted CO₂ emissions mandates for new passenger cars, requiring steady reductions to 95 gCO₂/km in 2021. We use a multi-sector computable general equilibrium (CGE) model, which includes a private transportation sector with an empirically-based parameterization of the relationship between income growth and demand for vehicle miles traveled. The model also includes representation of fleet turnover, and opportunities for fuel use and emissions abatement, including representation of electric vehicles. We analyze the impact of the mandates on oil demand, CO₂ emissions, and economic welfare, and compare the results to an emission trading scenario that achieves identical emissions reductions. We find that vehicle emission standards reduce CO₂ emissions from transportation by about 50 MtCO₂ and lower the oil expenditures by about €6 billion, but at a net added cost of €12 billion in 2020. Tightening CO₂ standards further after 2021 would cost the EU economy an additional €24–63 billion in 2025, compared with an emission trading system that achieves the same economy-wide CO₂ reduction. We offer a discussion of the design features for incorporating transport into the emission trading system.     

Function Integration for Lightweight Chassis Based on Axiomatic Design and Design Structure Matrix

Function integration is the way used commonly to achieve the lightweight design system. To realize the design successfully by combing two systems multifaceted issues in need to be considered. The potential functional conflicts between the existing systems are the major unfavorable factors limiting the design. In order to complete the better design, the functional and physical relationships in the systems should be figured out. This paper proposes the approach, by which the function integration process is expressed using the axiomatic design. In the design process, the mutual relationships of design parameters in the systems are investigated by means of design matrices. The design concepts are compared and evaluated by the method combining the axiomatic design and design structure matrix.     

Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany

This article reports on two different methods applied in the same survey (N = 1881) to measure the impact of the carsharing system car2go on other transportation modes in Ulm, Germany. The first method calculated how the mobility behavior of respondents would hypothetically be at the present time if car2go was not available. The second method determined the respondents’ past mobility behavior before using car2go. Confounding circumstances were corrected in both approaches through different mechanisms. Comparable methods calculating carsharing impacts have only been applied individually in past studies. This is the first study applying two measurement methods within the same survey, which enables a triangulation. As other influencing parameters were equal (e.g. sampling frame, nonresponse bias, mode of asking, point in time of the survey), the deviating results are assumed to have resulted from the different measurement techniques. The findings indicate a primacy effect (disproportionally high selection of first answer options) having influenced the first measurement and an overestimation of the impact on total kilometers travelled in the second measurement. The comparative findings of this dual-measurement could contribute to research designs of greater precision in future work on carsharing impacts.     

The changes of activity-travel participation across gender,life-cycle,and generations in Sweden over 30 years

Transportation - This study utilised the Swedish national travel survey covering a period of over 30&nbsp;years. We investigated the long-term trends in activity-travel patterns of individuals...