Optimisation of policies for transport integration in metropolitan areas: report on work packages 30 and 40

The overall objectives of Project OPTIMA are:- (i) to identify optimal urban transport strategies for a range of urban areas within the EU; (ii) to compare the strategies which are specified as optimal in different cities, and to assess the reasons for these differences; (iii) to assess the acceptability and feasibility of implementation of these strategies both in the case study cities and more widely in the EU, and (iv) to use the results to provide more general guidance on urban transport policy within the EU. There is a wide range of objectives of transport policy in urban areas, but most can be grouped under the broad headings of economic efficiency, including economic development, on the one hand, and sustainability, including environment, safety, equity and quality of life, on the other. It is now generally accepted that the overall strategy for achieving these objectives must include an element of reduction of private car use and transfer of travel to other modes. The policy instruments for achieving these objectives can include infrastructure provision, management measures to enhance other modes and to restrict car use, and pricing measures to make public transport more attractive and to increase the marginal cost of car use. It is now widely accepted that the most appropriate strategy will involve several of these measures, combined in an integrated way which emphasises the synergy between them. The most appropriate strategy for a city will depend on its size, the current built form, topography, transport infrastructure and patterns of use; levels of car ownership, congestion and projected growth in travel; transport policy instruments already in use; and the acceptability of other measures in political and legislative terms. These will differ from city to city. Policy advice cannot therefore be generalised, but must be developed for a range of different types of city. This is the approach adopted in this study, in which nine different cities in five countries (Edinburgh, Merseyside, Vienna, Eisenstadt, Trams@, Oslo, Helsinki, Torino and Salerno) have been studied in detail, using a common study methodology. This report summarises the output of two work packages in OPTIMA: WP30: Test Combinations of Policy Instruments WP40: Identify Optim

PROJECT OPTIMA: optimisation of policies for transport integration in metropolitan areas

The overall objectives of Project OPTIMA were: (i) to identify optimal urban transport and land use strategies for a range of urban areas within the EU; (ii) to compare the strategies which are specified as optimal in different cities, and to assess the reasons for these differences; (iii) to assess the acceptability and feasibility of implementation of these strategies both in nine case study cities (Edinburgh, Merseyside, Vienna, Eisenstadt, Tromsø, Oslo, Helsinki, Torino and Salerno) and more widely in the EU; and (iv) to use the results to provide more general guidance on urban transport policy within the EU

Project FATIMA Final Report: Part 1.

EXECUTIVE SUMMARY This Final Report covers the results of the EU-funded research project FATIMA (Financial Assistance for Transport Integration in Metropolitan Areas) which had the following objectives: (i) to identify the benefits to the private sector of optimal urban transport strategies, and the potential for obtaining private sector funding to reflect those benefits; (ii) to determine the differences between strategies optimised using public funds and those optimised within the constraints imposed by private funding initiatives; (iii) to propose mechanisms by which private sector funding can be provided so as to achieve appropriately optimal transport strategies while maintaining quality of operation; and (iv) to use the results to provide more general guidance on the role of private sector funding for urban transport in the EU. The project adopted an approach which involved the application of the same study method to nine cities, chosen to reflect a range of urban transport policy contexts in Europe: Edinburgh, Eisenstadt, Helsinki, Merseyside, Oslo, Salerno, Torino, Tromsø and Vienna. This method involved specifying appropriate policy objective functions against which transport strategies could be assessed, and finding the specific strategy that optimised each of these functions. The objective functions covered a range of differing regimes with respect to constraints on public finance and the involvement of the private sector. It was found that, in a majority of the case study cities, optimal socio-economic policies could be funded by road pricing or increased parking charges, considered over a 30 year time horizon. Such measures would typically be used to make it feasible to increase public transport frequency levels or decrease public transport fares. In general it was found to be important that the city transport planning authority had complete control over all transport measures, affecting both private and public transport. However, such strategies are likely to require significant levels of investment and, given current attitudes towards constraints on public spending, it might be politically awkward for the public sector to raise such finance. There is thus a potentially useful role for private finance to be used to help overcome such (short term) financing problems. However, it must be appreciated that the private sector will expect to make a profit on such investment. In cities where optimal policies are funded by travellers, the private sector can be reimbursed by travellers. In cities where it is unfeasible for travellers to fund all the costs of optimal policies, it will be necessary for the private sector to be reimbursed from public funds (raised from taxes). An important issue here is that the use of private finance should not be allowed to replace optimal policies with sub-optimal policies. Whether or not the private sector is involved in financing a strategy, there may be interest in private sector operation of the public transport service. However, evidence on the scale of benefits or losses from such operation is unclear. If, though, a city authority decides that private operation is beneficial, it should use, where legally possible, a franchising model in which it specifies optimal public transport service levels and fares. On the other hand, if a deregulation model is required (in order to comply with national law), private operators should not be given complete freedom to determine the operating conditions which meet their profitability target, even if the level of profitability is itself constrained as a result. There are typically a number of combinations (e.g. of fares and frequency) which achieve a given level of profitability, and not all will be equally effective in terms of public policy objectives

Project FATIMA Final Report: Part 2

The final report of project FATIMA is presented in two parts. Part 1 contains a summary of the FATIMA method and sets out the key recommendations in terms of policies and optimisation methodology from both project OPTIMA and project FATIMA. Part 1 is thus directed particularly towards policy makers. Part 2 contains the details of the methodology, including the formulation of the objective functions, the optimisation process, the resulting optimal strategies under the various objective function regimes and a summary of the feasibility and acceptability of the optimal strategies based on consultations with the city authorities. This part is thus mainly aimed at the professional in transport planning and modelling

Holding Our Ground at the Edge: Influencing Perceptions of Library Value

Who judges the value of our libraries? Administrators look at costs and benefits, so librarians generate reports about the use of library spaces, resources, and services to demonstrate return on investment. But potential library users simply decide if we can satisfy their needs. Some people form a judgment based upon an initial perception or brief encounter, some hold fleeting opinions, and others become entrenched in a specific perspective – sometimes for years. A perception may be opposite to reality, but it is owned by the perceiver. Influencing perceptions is a strategy that can support the success of a library. If researchers do not perceive that the library can help them achieve their goals, they will not use it; if administrators perceive that the library is not supporting the institutional mission, they will not fund it. Managing a library in which perceived value is struggling is challenging, especially for a solo librarian who recognizes that “I am the library, the library is me, and as such we are both judged.” Strategies to create positive perceptions include demonstrating commitment and relevance, which are often necessary to establish recognition of value. Perceptions may be formed at orientation and they can be made or unmade in a passing conversation with an administrator. Here we explore some strategies used at the Marine Resources Library in Charleston, South Carolina to demonstrate relevance and commitment, and to create a positive perception of the library’s worth to graduate students, professional researchers, and administrators.2020-02-1

REVIEW: Court-Martial at Parris Island: The Ribbon Creek Incident

Review of the non-fiction book Court-Martial at Parris Island: The Ribbon Creek Incident, by John C. Stevens III

Destroyer and Preserver, Hear, Oh Hear! Not All Uncirculated Books Must Chariotest to a Dark Wintry Bed: How We Used the OCLC WorldCat Search API to Inform Our Weeding Decisions with Holdings Data

Weeding a specialized collection, such as the geography/oceanography subset of the marine science collection at the Marine Resources Library, requires thinking beyond our own walls and users. To ensure potential access to weeded items through other libraries, as well as the preservation of items unique to our own collection, we sought an efficient and free means to incorporate national holdings data into our decision-making process. The OCLC WorldCat Search API enables bibliographic data, as well as holdings from other libraries, to be obtained easily. With a Python script we obtained holdings data for most of our several thousand oceanography items, making more than 10,000 queries of the API over six minutes. We identified holdings of this collection subset within our five peer libraries, NOAA regional libraries, PASCAL (SC state consortium) libraries, LVIS member libraries, and libraries in the United States to inform (not determine) our weeding decisions

Pre-determined fixed fare structure for rickshaws to integrate with mass transit systems

This paper examines the feasibility of pre-determined fare structures for rickshaws. An empirical study was conducted with two case study locations (prospective BRT stations) in Dhaka City, Bangladesh. Eleven focus group discussions (FGDs) were held with rickshaw-pullers and other stakeholder groups, and semi-structured open-ended interviews were conducted with twenty five transport professionals/policymakers. It was found that rickshaw-pullers often like a bargaining process for fixing a fare so that they can charge more from passengers, particularly from those who are new in the area or ‘seem to be’ wealthy, or when there is no other alternative mode available for passengers. On the other hand, passengers prefer a fixed fare structure and do not like the bargaining process. Rickshaw-pullers, passengers and policymakers all mentioned that it would be possible to have a pre-determined fixed fare structure for rickshaws if rickshaws were more localised (serving only within a particular neighbourhood or for a short distance, as an access leg to public transport). However, this policy would need to be backed by effective planning, regular monitoring and enforcement, along with ‘awareness generation’ for rickshaw-pullers and wide scale publicity campaigns

A conceptual approach for estimating resilience to fuel shocks

We examine a conceptual approach to the estimation of resilience of transport systems to fuel shocks, i.e. a severe and long lasting reduction in the availability of fuel for motorised transport. Adaptive capacity is an element of resilience and is defined in the paper. There is currently no indicator of adaptive capacity of individuals in small geographies sensitive to a variety of policy measures, such as those affecting fitness, obesity, bicycle availability and bicycle infrastructure, whose impacts (at least in the short term) are on a smaller scale than large-scale land use and urban morphology change. We propose a conceptual approach for designing a method to quantify this indicator. The indicator shows the proportion of the population of areas who would have the capacity to commute to work principally by bicycle or walking following the shock. It assesses capacity grounded in current data and avoids as far as possible the need for speculation about the future. We believe this makes progress towards producing a good indicator with relatively un-controversial, transparent simplifying assumptions. The indicator can compare the resilience of different areas and can be updated over time

Wrangle Your Data Like a Pro With the Data Processing Power of Python

Management, delivery, and marketing of library resources and collections necessitate interaction with a plethora of data from many sources and in many forms. Accessing and transforming data into meaningful information or different formats used in library automation can be time consuming, but a working knowledge of a programming language can improve efficiency in many facets of librarianship. From processing lists to creating extensible markup language (XML), from editing machine-readable cataloging (MARC) records before upload to automating statistical reports, the Python programming language and third-party application programming interfaces (APIs) can be used to accomplish both behind-the-scenes tasks and end-user facing projects. Creating programmatic solutions to problems requires an understanding of potential. Here we summarize the data sources, flows, and transformations used to accomplish existing projects at Mercer University and the College of Charleston. Foundational programming techniques are explained and resources for learning Python are shared