莆田显惠侯神灵及其对船员的保护

著名的莆田祥应庙前身是当地白杜方氏家族专用的祠堂.庙里供奉的神灵显惠侯,当地的百姓把他视为农业生产及生命财产的保护神,同时,他也是航海者信奉的神灵.本文作者以周尾和朱纺这两人出海之前均到该庙膜拜的典型事例,分析指出上述二人的出海经商与白杜方氏家族存在着直接关系,可能是受雇于当时既从事农业又涉猎海上贸易的白杜方氏家族,因此宋时显惠侯只是一个地方性的神灵,只对某一部分人提供某些特定的庇护,并不具有普遍意义.     

Impact of information technology on public transport fares data

The work described was undertaken as part of the CASSIOPE project in the EC DRIVE programme. A range of fare collection procedures in public transport is described, and the importance of these for data collection by operators is stressed. It is suggested that such data management could be standardized and to this end four case studies were carried out in different European cities. Data models were built for each city, and these models are merged into a preliminary version of a generalized model. The need and uses for such a fare collection data model is explained.     

Environmental protection motivation in coastal zone land‐use legislation

Abstract

Analysis of recent substantive coastal land use management laws shows that their main thrust is to provide for protection of the coastal environment from adverse impacts of uncontrolled development. The four purposes cited most frequently among laws of 17 states were: Protection of wildlife and fisheries, protection of ecosystems or the natural environment, control of development, and enhancement of esthetic values. Other purposes were to: Protect life and property, enhance public recreation, conserve soil, and protect water resources. Development and economic purposes were cited in relatively few laws.     

Transport reviews prize

This paper reviews the provision of public transport in the Cape Town Metropolitan Area and the proposals for its future development. A vitally distinguishing characteristic of public transport in Cape Town and other South African cities is the fractured market with great discrepancies between different segments. These range from those with high incomes and preferences similar to those found in typically First World countries to a great majority living at or below minimum poverty levels with virtually no choices and a very different set of needs and preferences. Although scope for improving service levels and satisfying user needs is unlimited, in South Africa resources for transport are facing severe competition from other macrolevel social and economic imperatives, such as combating crime and addressing discrepancies in health and education needs. This situation represents a huge challenge to those responsible for planning and developing public transport strategies. Evidence is presented that current public transport services are unsustainable in terms of increasing subsidy requirements while also not effectively meeting user needs. Proposals to restructure the public transport system and to use Stated Preference techniques to identify user needs are put forward. Given the fractured market for public transport in metropolitan Cape Town, Stated Preference techniques will require innovative adaptations and different approaches to those most commonly applied elsewhere in the world and this paper provides some broad guidelines.     

The relationship between coastal-zone management and off-shore economic development

‘Coastal-zone management is ideally founded on a consideration of the full range of bio-physical and socio-economic elements integrated through problem perception, decision making and remedial strategy planning. Specification of the framework indicates a variety of potential links between the coastal zone and continental shelf development.’     

Characterising and predicting car ownership using rough sets

This paper applies the relatively new knowledge discovery technique of Rough set analysis to identify the factors that influence the level of car ownership in a household. The study uses the detailed Great Britain National Travel Survey data set which contains information on both household and individual travel behaviour. The knowledge extraction is done using the theory of Rough sets and is presented in the form of easily understood if-then statements or rules which reveal how each attribute influences car ownership behaviour. These rules can then be used to predict household car ownership from information held about previously unseen households and the classification performance of the rules can be assessed. The performance of this classification task is shown to be on a par with other reported studies in this area.     

The determinants of car ownership in England and Wales from anonymous 2001 census data

Within the transportation research literature, the attempt to understand and predict the level of car ownership is probably one of the most popular areas of study. The primary reason for this is understandable, having access to a vehicle increases an individual’s (or their household’s) travel options, leading to greater mobility. Secondary reasons for this scrutiny include the need to predict future transport investment in road infrastructure and the commercial demand for new vehicles. This paper attempts to predict the level of household car ownership as a function of the characteristics of the household and the individuals that make up the household. The primary data source for this study comes from the 2001 United Kingdom Census and the analysis methods used are from the discipline of data mining. The results of this study are in line with those from previous research but show a potential to predict the higher levels of household car ownership with greater accuracy than other similar studies.     

Network impacts of a road capacity reduction: Empirical analysis and model predictions

In spite of their widespread use in policy design and evaluation, relatively little evidence has been reported on how well traffic equilibrium models predict real network impacts. Here we present what we believe to be the first paper that together analyses the explicit impacts on observed route choice of an actual network intervention and compares this with the before-and-after predictions of a network equilibrium model. The analysis is based on the findings of an empirical study of the travel time and route choice impacts of a road capacity reduction. Time-stamped, partial licence plates were recorded across a series of locations, over a period of days both with and without the capacity reduction, and the data were ‘matched’ between locations using special-purpose statistical methods. Hypothesis tests were used to identify statistically significant changes in travel times and route choice, between the periods of days with and without the capacity reduction. A traffic network equilibrium model was then independently applied to the same scenarios, and its predictions compared with the empirical findings. From a comparison of route choice patterns, a particularly influential spatial effect was revealed of the parameter specifying the relative values of distance and travel time assumed in the generalised cost equations. When this parameter was ‘fitted’ to the data without the capacity reduction, the network model broadly predicted the route choice impacts of the capacity reduction, but with other values it was seen to perform poorly. The paper concludes by discussing the wider practical and research implications of the study’s findings.