Public preference for the attributes of the marina port in Korea: a choice experiment study

As of late, the Korean government needs quantitative information on economic feasibility analysis for marina port development projects. This study applies a choice experiment to measure public preference for the attributes of marina port in Korea. We consider the trade-offs between price and four attributes of marina port (capacity, access, waterfront, and program) for selecting a preferred alternative and elicit the marginal willingness to pay (MWTP) estimates for each attribute. We also test whether irrelevant alternatives property for the estimation model holds and compare the estimation results of the multinomial logit (MNL) and the nested logit (NL) models. The results show that the NL model outperforms the MNL model. In the NL model, MWTPs for increasing the level of a waterfront from promenade to both promenade and rest area and for the provision of marine leisure experience program are KRW13 384 (USD11.8) and KRW17 937 (USD15.8), respectively. This study is expected to provide policymakers with quantitative information for evaluating marina port construction projects in Korea.     

A nested logit model of mode choice for inland movement of export shipments: A case study of containerised export cargo from India

Predominance of containerised mode of transport for export of general cargo has influenced the mode choices on the inland segment. Prior to containerisation the general cargo for export moved to ports invariably on road in break bulk form. Growth of containerisation led to development of inland terminals enabling an exporter to obtain export clearance at the inland points. This process facilitated an exporter to move cargo either in break bulk or in containerised form, and as inland terminals facilitated aggregation an exporter could move cargo either by road or rail. Thus containerisation increased the inland transport options for an exporter from one to three. The paper develops discrete choice models in the Indian context for inland movement of containerised export cargo. Primary data was collected from 124 export firms through a structured questionnaire. This data is supplemented with data from transport firms and terminal operators. Using the above data, a nested logit model with rail container and road truck in one branch was found to predict the mode choice behaviour best. Amongst the transport attributes, total cost and total transit time were found to be influencing the mode choices significantly. The study however did not find the effect of reliability and loss and damage significant. In addition, the model also predicts that non transport attributes - like the percentage of letters of credit that materialise with inland way bills and the value of export benefits that materialise after export - are important in the mode choice decision.     

Testing port choice models using physical and monetary data: a comparative case study for the Spanish container trades

ABSTRACT

Transport costs are useful explanatory variables in port choice research. Nevertheless, the availability of such information usually poses a problem. Thus, the formulation of an alternative approach, to be used as a proxy of these variables, would be desirable. The objective of this study is to improve the analysis of container port choice using logit models by adopting physical non-monetary indicators based on maritime distance and ship size. The statistical tests of logit models on port choice using these new variables are compared with the result of using cost variables for the same data set of choice positions. The statistical outcome is good and allows us to present this new approach as a contribution to the literature on port choice modeling.     

Analyzing ship investment behaviour in liner shipping

This study analyzes capacity expansion and ship choice decisions. Theoretically, we derive the probability of capacity expansion as a function of market and company attributes and characterize the impacts of these factors on expansion decisions. Empirically, we analyze ship investment and ship choice behaviour using binary choice and nested logit models based on ship investment data from major liner shipping companies over the period 1999 to 2009. Most expansion decisions are found to be market-driven, and large companies expand to maintain their market shares. In terms of ship selection, statistical results support the assumption that shipping companies decide on a new order or second-hand purchase before considering the ship size. Also, new orders are preferable to second-hand purchases. For new orders, the preference increases with ship size, and decreases with shipbuilding length and demand growth rate. For all ship types, the preference increases with a high and stable time-charter rate. For second-hand ships, handysize is the most preferable size. The substitution of new orders and second-hand purchases is possible, but not symmetrical.     

Determinants of the probability of default: the case of the internationally listed shipping corporations

In this study, we use a sample of 192 listed shipping companies and employ a logit model in order to investigate the determinants of the probability of default. We enhance our analysis by isolating not only the cases of company liquidations but also those cases where companies had to change their legal status due to warning liquidity signals. Our key findings are in line with prior research and moreover we depict a changing trend in the marginal effects of relevant variables, on the probability of default. We further show, through an empirical application, how the obtained results can be used in a managerial decision-making process and in a bank credit underwriting process in order to assess the creditworthiness of a shipping company.     

Determinants of container port choice in Spain

For the economic and financial evaluation of port investment projects, it is important to know the demand function of a port's services. The objective of this study is to establish such a demand choice function for the Spanish container port services. The function is derived from the coefficients of a port choice model, for which a multinomial logit model is used and of which the coefficients are estimated with regression analysis. The variables tested concern inland transport cost, ocean transport costs and broad proxy variables for quality of service. Information on container import and export flows for 2007 is obtained from the Spanish Treasury Department. The linear regression analysis is based on differences of utilities of alternative routings of containerised cargoes compared to those routed via the port of Valencia. The obtained results are satisfactory in terms of model fit. The estimated coefficients can be used to assess the impact of changes in costs of container flows routed via a port on a port's market share. A demand choice function for the port can be derived by systematically doing so. An example is presented for the port of Valencia.     

基于个体与协同效能的两栖攻击舰编队兵力选择模型

针对两栖攻击舰编队舰艇型号的选择问题,从舰艇个体效能和舰艇间的协同效能出发,构建兵力选择指标体系,分别建立了基于个体效能的兵力选择模型和基于协同效能的兵力选择模型。在此基础上,定义选择偏好系数,建立基于个体与协同效能的两栖攻击舰编队兵力选择模型。实例分析表明,该模型可以针对作战任务,灵活选择兵力型号。     

The development of the TIGRIS XL model: A bottom-up approach to transport, land-use and the economy

The project appraisal method in the Netherlands distinguishes direct effects, indirect distribution effects and indirect generative effects. Transport models are generally available for calculating the benefits of transport projects to travellers as part of the direct effects. The TIGRIS XL model, a Land-Use and Transport Interaction model, adds indirect distribution effects for the housing and labour market, by modelling changes in the spatial distribution of jobs and residents. This paper describes the current TIGRIS XL model and how it can be applied in the evaluation of transport projects. It refers to work done with the TIGRIS XL model to improve the calculation of the direct benefits by applying the so-called ‘logsum’ method. Finally it discusses ideas on how to extend the TIGRIS XL model to address indirect generative effects as well.The current TIGRIS XL model, its integration with the National Model System (the standard tool for the Dutch government to analyse the effects on passenger transport) and basic design principles are the starting point of such an exploration. These design principles include:

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an emphasis on detail, both spatial as well as in socio-economic segments, to account for differences in the availability of choice alternatives and in choice behaviour, and to provide impacts by region and socio-economic group;

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the requirement that the relationships used rest on an empirical foundation.

The post-processing methods proposed on this paper for the calculation of the direct benefits and indirect generative effects are consistent with these design principles. To calculate the indirect generative effects, a post-processing module is proposed which transforms changes in travel times and land-use into agglomeration effects. These agglomeration effects combine several of the generative effects, like scale economies, an increasing variety of products, labour market matches and knowledge spill-over. The effects of changes in the agglomeration indicator on productivity can be estimated with existing data sources, as was demonstrated in the UK (Graham, 2005).     

混凝土结构耐久性设计方案决策方法

从影响混凝土结构耐久性的设计因素入手,建立了基于灰色关联分析的结构设计方案优选模型。该模型是将待选方案与基准方案相比较,按不同设计方案与基准方案的关联程度进行优劣排序,形成了一套较完整的多目标评价体系和方案优化选择体系。     

基于MNL模型的托运人港口选择分析

运用Multinomial Logit(MNL)模型,以长江三角洲港口为例,从港口和承运人两方面综合考虑,提出由港口和承运人不同组合而形成的各种选择方案,计算了托运人对各种方案的选择概率和各个港口的市场份额,并进一步分析各个因素的影响程度以及港口市场份额对这些因素变化的弹性程度。旨在为托运人合理选择港口和降低运输成本、为港口正确制定经营策略和合理明确自身定位提供一定的参考依据。     

Modelling port choice in an uncertain environment

Port choice is an important issue to be investigated to ensure the effective integration of container supply chains and the sustainable development of regional economy. The selection of appropriate ports to facilitate shipping activities and international trade is crucial for many stakeholders, including shipping lines, port administrators, cargo shippers and national governments. The task is essentially a process of multiple criterion decision-making (MCDM) under uncertainty, requiring analysts to derive rational decisions from uncertain and incomplete data related to different quantitative and qualitative determinants. This paper aims at proposing a new conceptual port choice method by explaining the role fuzzy logic in evidential reasoning in a complementary way, in which various forms of raw data (either objective or subjective) collected to evaluate port performance can first be converted into and presented as fuzzy grades defined using linguistics terms with degrees of belief (DoBs) and second be combined using evidential reasoning to produce a port choice preference score. The method is applied to analyse the selection of major Northeast Asian (NEA) container ports from a shipping line’s perspective. The outcome, a port choice preference score, is calculated using evidential reasoning to directly synthesize the true estimation of the port with respect to each criterion and therefore, unlike a relative ranking index, keeps the ‘goodness’ of port evaluation, capable of benchmarking a specific port’s performance and monitoring the increase of its competitiveness in a longitude study with respect to an individual criterion or all the criteria as a whole.     

A decision-making solution to ship flagging out via administrative maritime strategies

The choice of flag is one of the main strategic/critical decisions for shipowners in the initial stage of maritime enterprises. On the other hand, flagging out has a great influence on the prestige and economic benefits for traditional maritime countries. To address this issue, this paper proposes a Multiple Criteria Decision Making (MCDM) approach using a Primarily Strategic Action Plan (PSAP) in a short-run period and a Secondary Strategic Action Plan (SSAP) for a long-term perspective. The case is demonstrated with respect to the flagging out issue in Turkish shipping fleet. It measures the decision-making tendencies of shipowners using Turkish National Shipping Registry (TNSR), Turkish International Shipping Registry (TISR), and Open Registries (ORs) as potential shipping registry alternatives. The model outcomes originally contribute to Turkish maritime policy, especially in terms of strengthening and reinforcing of TNSR procedures.     

Have tropical marine protected areas worked? An initial analysis of their success

A multinomial choice framework was used to analyze data from hypothetical storm forecast scenarios administered via mail survey to a random sample of U.S. Gulf Coast residents. Results indicate that the issuance of a mandatory evacuation notice and the presence of higher wind speeds had the largest influence on increasing the likelihood of evacuation. Age, race, disability, distance, and education were significant in explaining one's decision to wait relative to choosing to evacuate. Blacks and disabled individuals were strictly less likely to wait and more likely to make an immediate evacuation decision. Hurricane Katrina evacuees and those with an evacuation destination identified were also more likely to decide to evacuate, but were also more likely to wait before deciding. Results indicate that residents of mobile homes were more likely to either evacuate or wait before making a decision, but strictly less likely not to evacuate. Respondents very confident in being rescued were strictly more likely not to evacuate. Results indicate that not having an evacuation destination identified was the most influential factor regarding the likelihood of not knowing what choice to make.     

基于Logit模型的动态道路收费最优控制模型

在Logit动态的基础上建立了收费和通行能力的联合控制模型,通过控制时变的道路收费水平和通行能力,优化交通流的演化轨迹,使交通系统达到最优。通过简单的算例,在Logit动态的基础上对道路中的交通流进行分析和预测,进而对车辆进行诱导,从而达到交通管理的目的。     

A disaggregate analysis of factors influencing port selection

In this paper are presented the results of a multinomial logit model used to explain the selection of a port for each shipment exported from the US in December 1999. The model is estimated for combined shipments, and one model is estimated for each of four commodity types (bulk, foods, fabrics, manufactured). Results are compared across commodities to find the significance of the distance in either direction, the frequency of sailings, and the average size of vessels sailing along a route. Results of the estimation do not match those that would be expected. Potential reasons are given for such variations, along with numerous methods by which the modelling could be improved. Methods for improvement suggested include structuring of the model to represent more accurately the competitive scenario of each port, constraining the choice set for each shipments from characteristics of the carrier, and the commodity.     

A disaggregate analysis of factors influencing port selection

In this paper are presented the results of a multinomial logit model used to explain the selection of a port for each shipment exported from the US in December 1999. The model is estimated for combined shipments, and one model is estimated for each of four commodity types (bulk, foods, fabrics, manufactured). Results are compared across commodities to find the significance of the distance in either direction, the frequency of sailings, and the average size of vessels sailing along a route. Results of the estimation do not match those that would be expected. Potential reasons are given for such variations, along with numerous methods by which the modelling could be improved. Methods for improvement suggested include structuring of the model to represent more accurately the competitive scenario of each port, constraining the choice set for each shipments from characteristics of the carrier, and the commodity.     

徒骇河富国作业区至东风作业区河段通航水流条件分析

建立了适合徒骇河多弯特点的曲线二维潮流数学模型,模型中考虑了取水和分汇流问题.首先采后对徒骇河富国作业区至东风作业区河段通航设计方案进行模拟,重点对设计方案中的码头泊位、航线调整、取水口、候潮区等代表河段的工程前后水流条件进行分析.研究成果表明航道设计方案通航水流条件良好,可满足设计船型通航要求.     

Analysis of S–N data for new and corroded mooring chains at varying mean load levels using a hierarchical linear model

Results from full scale fatigue tests of offshore mooring chains are analyzed. The data set includes new and used chains, tested at a variety of mean load levels. The used chains have been retrieved after operation offshore and include samples with varying surface conditions, ranging from as-new to heavily corroded. Based on a parameterized S–N curve intercept parameter, the effects of mean load and chain condition are estimated empirically by regression analysis. A hierarchical linear model is used, to account for and quantify correlations within subsets of the data. The choice of grouping criterion for the hierarchical model is discussed, and assessed based on the current data. Results show that the mean load and corrosion effects are both significant. Differences in the fatigue performance of new versus used chains are quantified and discussed.