港口竞争的市场结构与竞争行为分析

目前，港口竞争研究已成为一个热点问题。为此，本文首先对港口竞争的范围作了界定，在此基础上，剖析了两种不同类型的港口竞争的市场结构，最后对不同市场结构下的港口竞争行为进行了分析。     

现代港口建设与运营中的竞争

从港口所有制形式，港口竞争的层次。影响港口竞争的主要因素等方面，论述了现代港口的主要竞争手段。指出除了地理条件不可改变外，其他条件都可以通过各种竞争手段来实现。竞争与合作是现代港口竞争的新趋势。     

Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)

Studies of urban travel behaviour typically focus on weekday activities and commuting. This is surprising given the rising contribution of discretionary activities to daily travel that has occurred during the last few decades. Moreover, current understanding of the relationship between travel behaviour and land use remains incomplete, with little research carried out to explore spatial properties of activity-travel behaviour during the off-peak and weekend time periods. Weekend behaviours, for example, influenced by the availability of time and the spatiotemporal distribution of “weekend” destinations, likely produce spatially and temporally distinct activity-travel patterns. Using data from the first wave of the Toronto Travel-Activity Panel Survey (TTAPS), this paper examines an area of research that has received little attention; namely, the presence of spatial variety in activity-travel behaviour. The paper begins by looking at the extent to which individuals engage in spatially repetitive location choices during the course of a single week. Area-based measures of geographical extent and activity dispersion are then used to expose differences in weekday-to-weekend and day-to-day activity-travel patterns. Examination of unclassified activities carried out over a 1 week period reveals a level of spatial repetition that does not materialise across activities classified by type, travel mode, and planning strategy. Despite the inherent spatial flexibility offered by the personal automobile, spatial repetition is also found to be surprisingly similar across travel modes. The results also indicate weekday-to-weekend, and day-to-day fluctuations in spatial properties of individual activity-travel behaviour. These findings challenge the utility of the short-run survey as an instrument for capturing archetypal patterns of spatial behaviour. In addition, the presence of a weekday-to-weekend differential in spatial behaviour suggests that policies targeting weekday travel reduction could have little impact on travel associated with weekend activities.

地铁高架槽形梁足尺模型破坏试验与空间分析研究

通过某城市地铁高架试验段槽形梁桥足尺模型破坏试验,测定结构的极限承载能力,研究其空间受力变形特性及破坏特征。试验结果表明,结构在正常使用和极限状态下的极限荷载分别为设计荷载的1.68和3.0倍,具有足够的安全系数。三维有限元数值计算结果表明,底板存在剪力滞后现象,越接近梁端愈明显。底板纵向剪应力最大值出现在梁端附近截面底板与腹板相交处,支座脱空效应对脱空支座位置的底板应力影响较大,设计中需对梁端进行局部加强处理。跨中截面腹板出现拉应力,最大可达0.91 MPa,设计中应考虑设置一定的竖向抗拉钢筋,防止裂缝产生。     

论严复的竞争观及其启蒙意义

作为中国近代重要的启蒙思想家，严复的竞争观对国民的竞争意识发挥了有力的催化作用。严复从进化论的角度揭示了竞争的合理性、进步性、公正性、普遍性、永恒性及残酷性，并将认同竞争和积极参与竞争视为强国强民的根本途径。本探讨了严复竞争观的内在意蕴及其对国民竞争意识的启蒙意义。     

论经济全球化背景下竞争政策和竞争法的国际协调

在经济全球化的背景下。对各国竞争政策和竞争法进行国际协调很有必要，其基本途径包括双边协调、区域协调和多边协调。并且国际社会对此分别进行了有益的尝试，特别是在WTO框架下进行的竞争政策国际协调备受关注，但目前处于停顿状态。我国对此宜持有簪件支持并参与的立场。     

Are young Americans carless across the United States? A spatial analysis

This study uses the National Household Travel Survey (NHTS) data to investigate the most recent correlates of vehicle ownership among young Americans. This study performs a spatial analysis to examine the potentially non-stationary relationships between sociodemographic factors and vehicle ownership. Consistent with previous studies, modeling results from this study showed that young Americans are more likely to be carless than older adults. The spatial analysis answers the research question – in which regions(s) young Americans are even less likely to have a car. The results highlighted the Northeast states for the young American’s extra-lower vehicle ownership if the influences of all other factors are held constant. The cost of living and availability of transportation alternatives are possible reasons. Further, this study built separate models for young adults (25–34 years old) and three older age groups. The vehicle ownership correlates within the young adults are found to be generally consistent with the correlates among all adults. Among young adults, vehicle ownership is still significantly related to their gender, educational attainment, employment status, household characteristics, and travel demand. However, young adults’ vehicle ownership seems to be less sensitive to household income than mid-age adults’ (35–44 years old), perhaps because young people may not perceive financial stress such as child support and mortgage. This study contributes by using a spatial analysis approach to reveal the non-stationary correlates of vehicle ownership. This approach is useful for future travel behavior research and transportation policy considering the spatial heterogeneity.     

Assessment of spatial transferability of an activity-based model,TASHA

Spatial transferability has been recognized as a useful validation test for travel demand models. To date, however, transferability of activity-based models has not been frequently assessed. This paper assesses the spatial transferability of an activity-based model, TASHA (Travel Activity Scheduler for Household Agents), which has been developed for the Greater Toronto Area (GTA), Canada. TASHA has been transferred to the context of the Island of Montreal, Canada using the 2003 Origin–Destination (O–D) travel survey and the 2001 Canadian Census. It generates daily schedules of activities (individual and joint) for each individual in this region. The modelled activity attributes (frequency, start time, duration and distance) from TASHA and observed attributes from the 2003 O–D travel survey are compared for five different activities (i.e. work, school, shopping, other, and return to home). At the aggregate level, TASHA provides quite reasonable outcomes (in some cases – better results than for the Toronto Area) for all four attributes for work, school and return to home activities with few exceptions (for instance, school start time). The model outcomes are also promising for shopping frequency and start times; however, TASHA provides larger differences for average shopping durations and distances. Only the forecasts for all four attributes for the ‘other’ activity type differ greatly with the observed attributes for the Montreal Island. These large differences most likely indicate the differences in behaviour between the Montreal Island and the Toronto Area. In general, we conclude that re-estimation of model parameters and the use of local activity attribute distributions (frequency, start time and duration) is a desirable step in the transfer of the TASHA model from one context to another.     

Factors affecting public transportation usage rate: Geographically weighted regression

As the number of private vehicles grows worldwide, so does air pollution and traffic congestion, which typically constrain economic development. To achieve transportation sustainability and continued economic development, the dependency on private vehicles must be decreased by increasing public transportation usage. However, without knowing the key factors that affect public transportation usage, developing strategies that effectively improve public transportation usage is impossible. Therefore, this study respectively applies global and local regression models to identify the key factors of usage rates for 348 regions (township or districts) in Taiwan. The global regression model, the Tobit regression model (TRM), is used to estimate one set of parameters that are associated with explanatory variables and explain regional differences in usage rates, while the local regression model, geographically weighted regression (GWR), estimates parameters differently depending on spatial correlations among neighbouring regions. By referencing related studies, 32 potential explanatory variables in four categories, social-economic, land use, public transportation, and private transportation, are chosen. Model performance is compared in terms of mean absolute percentage error (MAPE) and spatial autocorrelation coefficient (Moran’ I). Estimation results show that the GWR model has better prediction accuracy and better accommodation of spatial autocorrelation. Seven variables are significantly tested, and most have parameters that differ across regions in Taiwan. Based on these findings, strategies are proposed that improve public transportation usage.     

竞争中二度价格歧视研究

运用博弈论知识，采用定量分析方法，系统地讨论了二度价格歧视条件下竞争厂商的利润最大化条件．首先讨论了二度价格歧视利润最大化条件，然后将此条件加以推广．接着分别研究了线性需求函数和非线性需求函数情形下的利润最大化问题．针对上述问题，均给出了严谨的理论分析和有关计算公式．