Transport Impacts on Land Use: Towards A Practical Understanding for Urban Policy Making – Introduction and Research Plan.

INTRODUCTION This working paper forms a general introduction to an EPSRC CASE research project, presenting the objectives of the research, the rationale behind the study, a summary of some of the results obtained so far, and a plan for the remainder of the research work. The project is due for completion in November 1996. In other words, the project is examining: 1. The current understanding of the nature of the influence that transport has upon activity patterns and land use. Specifically, this is making use of empirical studies of transport impacts on land use, plus behavioural studies of the factors in location choice. 2. Whether this relationship can be adequately represented in a predictive context. This consists of two elements. How the relationship of transport on land use can be studied and 'formalised', and secondly, the ability to use this relationship for estimation of land use response to transport impacts. Use will be made of published modelling studies, plus some original modelling work, using a model constructed for this research. 3. The benefits of predicting transport impacts upon land use to planners involved in strategic land use and transport planning. This is the main objective of the research, and addresses why transport impacts on land use appear to have a minor role in structure planning, why model representations are seldom used, and given a model's predictions, what use will be made of the model results. Initial results from the first round of interviews are given in this paper. There are several themes that underpin this research: The nature of the 'transport on land use' relationship. How far it can he formalised, what we know about it, and how it is best to study it. Strategic planning processes in the UK, how the planning system handles the transport on land use relationship, under what circumstances the relationship is important, and the role of model predictions in the planning process. Whether the remit of 'planning' should examine transport impacts on land use, plus anticipation of the impacts of local government reorganisation. The issue of whether predictive modellmg in this context is an appropriate tool beyond the scope of academic research

Business Sector Profiles for Cambridge, York and Norwich. Historic Cities Project Task 4

The Historic Cities project is examining the potential impacts of transport demand management strategies on several case study 'historic' cities in England. These cities are York, Cambridge and Norwich, all of which have the following characteristics; they are cities which pre-date motorised transport, and thus tend to have city centres dominated by narrow streets; - they are all members of the Historic Towns Forum; - they have a high architectural and historic heritage, and attract many tourists each year; - they have severe congestion and congestion related problems; - the city authorities are faced with the problems of maintaining the environmental quality of the city, while allowing the most efficient use of the transport infrastructure. The Historic Cities project is examining how transport restraint policies, particularly parking, pricing and road-space reallocation, can contribute to the last bullet above. It is examining this via a series of surveys and modelling of the city traffic patterns under different policies. The main 'tasks' (work packages) are as follows; 1 Travel choices; using a stated preference experiment on mode choices from various traffic demand policies; 2 Traffic effects; Modelling of policies in the various cities using network traffic models; 3 Environmental effects; using the outputs from (2) 4 Urban economy effects; using a survey of businesses 5 Public attitudes; using a survey of resident's attitudes and anticipated responses; Task 4 in the Historic Cities project is examining the perceived and predicted effects on the urban economy from four transport instruments that attempt to restrain car use. It is thought that a major barrier to the implementation of these projects is their detrimental impacts on the local economy. This task examines whether this hypothesis is correct by examining the impacts on, and attitudes of, businesses in the case study cities. This paper presents background information on the cities, building up a business profile of each. The data sources are mostly published information, although city specific business databases were analysed to obtain a cross classification of the business profile. This is the first of a series of Working Papers on Task 4. The next Working Paper will outline the survey of firms that was undertaken, its initial results. It will use the business sector profile to determine how generally representative the samples are of the cities business sectors

Instruments of Transport Policy.

The material in this Working Paper was generated as input to DETR's Guidance on the Methodology for Multi Modal Studies (GOMMMS). DETR subsequently decided only to provide summary information on transport policy measures, and to leave the consultants involved in individual multi modal studies to make their own assessment of individual policy measures in the context of specific study areas. It has been decided to make this fuller document available as a reference source. The purpose of the review of policy measures was to provide summary information on the range of policy measures available, experience of their use and, based on past studies, their potential contribution to the range of policy objectives specified for GOMMMS. The review was based on an earlier one included in the Institution of Highways and Transportation's Guidelines on Developing Urban Transport Strategies (1996). This material was updated using references published since 1996 and expanded to cover policy measures relevant in inter-urban areas. It had been intended to circulate it for comment before publishing a revised version. However, DETR decided to use an abridged version before this consultation was complete. It should be borne in mind that this document has not, therefore, undergone the peer assessment which had been intended. To avoid unnecessary further work, the material is presented as it had been drafted for the GOMMMS Guidance document. The only modifications have been to change the chapter and paragraph numbers, and to remove the cross references to other parts of the Guidance document

Historic Cities Project Task 4 – The Business Surveys: Questionnaire Design, Implementation and Initial Analysis.

The Historic Cities project examined the potential impacts of transport demand management strategies on three case study ‘historic’ cities in England. These cities are York, Cambridge and Norwich, all of which have the following characteristics: - they are cities which pre-date motorised transport, and thus tend to have city centres dominated by narrow streets; - they are all members of the Historic Towns Forum; - they have a high architectural and historic heritage, and attract many tourists each year; - they have severe congestion, and congestion related problems; - the city authorities are faced with the problems of maintaining the environmental quality of the city, while allowing the most efficient use of the transport infrastructure. The focus of the project was how transport demand management policies, particularly parking, pricing and road-space re-allocation, can contribute to the last bullet above. Task 4 in the Historic Cities project examined the predicted effects on the urban economy from a work place parking levy and road user charging. It is thought that a major barrier to the implementation of these instruments is the perception that they will have detrimental impacts on the local economy. This task examines whether this hypothesis is correct by examining the impacts on, and attitudes of, businesses in the case study cities. This working paper describes the survey work that was undertaken and presents the initial analysis of the results. It has the following sections: Section 1: introduces the research; Section 2: describes the policies to be studied; Section 3: describes the development and rationale for the questionnaire; Section 4: describes the sampling process; Section 5: presents the initial analysis of the results; Section 6: gives a summary and conclusions. This is the second Working paper that summaries the Task 4 study. The first working paper (537) outlined the business sector profile for each city. A third working paper (552) will present multi-variate analysis of the dataset

Analysis of Human TACC3 in Cellular Responses to Polycyclic Aromatic Hydrocarbons

Very little is known about the etiology of ovarian cancer. However, studies have shown that occupational exposure to polycyclic aromatic hydrocarbons (PAHs) and tobacco smoking can increase ovarian cancer risk. Previously, we have determined that 100% of ovarian tumors show loss or aberrant subcellular localization of TACC3 (transforming acidic coiled coil 3) relative to the normal ovarian surface epithelium (OSE). In mice, a role for TACC3 in the cellular response to PAH has been defined. However, comparable studies for human TACC3 has not been performed. In this report, we show that specific knockdown of TACC3 in human ovarian cancer cells increases the basal level, and distorts the PAH-induced expression, of genes involved in metabolizing the procarcinogen PAH benzo[a]pyrene to its DNA damaging epoxide. In addition, we demonstrate that PAH stabilizes the TACC3 protein and induces the export of TACC3 and one of its binding partners, Ku70, from the nucleus. This parallels the subcellular distribution of TACC3 in those ovarian cancers that express TACC3. These data suggest that functional downregulation of TACC3 could aid tumor progression by altering cellular responses to chemical carcinogens and the DNA damage that they induce

Information theoretic approach to interactive learning

The principles of statistical mechanics and information theory play an important role in learning and have inspired both theory and the design of numerous machine learning algorithms. The new aspect in this paper is a focus on integrating feedback from the learner. A quantitative approach to interactive learning and adaptive behavior is proposed, integrating model- and decision-making into one theoretical framework. This paper follows simple principles by requiring that the observer's world model and action policy should result in maximal predictive power at minimal complexity. Classes of optimal action policies and of optimal models are derived from an objective function that reflects this trade-off between prediction and complexity. The resulting optimal models then summarize, at different levels of abstraction, the process's causal organization in the presence of the learner's actions. A fundamental consequence of the proposed principle is that the learner's optimal action policies balance exploration and control as an emerging property. Interestingly, the explorative component is present in the absence of policy randomness, i.e. in the optimal deterministic behavior. This is a direct result of requiring maximal predictive power in the presence of feedback.Comment: 6 page