Abstract

The ubiquitous sameness of urban greenways prompts questions on generative design grammar and syntax, whether creative, critical rethinking at that level might be lacking. However the design syntax of urban greenways is not explicitly discussed thus leaving a critical gap in knowledge. This paper begins tackling the larger question by acting on the fundamental subset of it, by operationalizing the design syntax of urban greenways. This is done through mathematics-based graph studies to analyze patterns and shapes, photography based thermal, material and morphology studies, and section analyses to make imagery-derived deductions on the design syntax. Recommendation on approaches to diversify and enrich the design syntax includes a more direct reference from ecosystem science theories such for siting and planning the urban greenways at macro- to meso-scale, a mixed-method approach, combining mathematics, photography and drawings based frames for analyses at meso-, to micro-scale, and a turtle view scale for designing at meso- to micro-scale, with an emphasis on latter.

Abstract

An information policy is a concerted action of various agents with information as the object, having as a purpose certain goals. The crisis we face is not only economic but also technological and due to changes in the organizational model, and we are already seeing some effects of deregulation and no planning. We can only establish solid information policies if we find a set of actions around which a wide spectrum of agents can be aligned without friction. 1. In the print world, policies should allow us to determine what exists and make that easily accessible, and know what is little used and will tend to be used less and ensure that it is preserved. 2. Research funding institutions can and must agree to facilitate open access to information and data. 3. Finally, the library-organization must be able to provide digital books, offer digital information that anybody can use, and ensure that born-digital materials are passed on to future generations. To this we must add the need to plan for information literacy training in schools. In these times of change, surrounded by uncertainty and some notable weaknesses, part of our professional duties should be devoted to elaborate agreements enabling us to take coordinated action in certain directions.

Abstract

An important part of Advanced Planning Systems are algorithms. When algorithms are applied, the task is automated as much as possible. However, the human that is supposed to use the algorithm is generally ignored during the development process. As a consequence, a prior investigation whether and how an algorithm can or will be used in practice is not integrated in the development process. In contrast, in the field of cognitive ergonomics, function allocation methods explicitly take into account human factors in the design of human/computer systems. The function allocation literature, however, is mainly focused on dynamic systems where humans must make decisions in situations with time pressure and important safety risks, e.g., nuclear plants and air traffic control. We analyze the differences between such dynamic systems and planning and scheduling, and we propose a model for function allocation in planning and scheduling taking into account cognitive and human-machine cooperation aspects.

Abstract

Electric buses are particularly suitable for city and suburban routes due to zero local exhaust and noise emissions. The operation schedule interval defines the charging power, bus fleet size and total cost of ownership of a bus. We propose a novel cost-benefit method for the scheduling of an electric city bus fleet on a single route. Three different charging infrastructure scenarios were considered. In the first scenario, only one charging station was used. The second scenario considered two charging stations that were located at the same terminus. In the third scenario, two charging stations were located at opposite terminuses. The costs and utilization rates of the buses were analyzed with operation intervals up to 40 minutes. The first scenario with a single charging station had the lowest costs for the entire bus fleet system when the utilization rate was considered. Furthermore, the results show that certain schedule intervals are more cost-beneficial in terms of vehicle specific life-cycle costs than others. In the future, the proposed method is expanded to aid the design of bus network scheduling under energy demand uncertainty. Peer reviewed

Abstract

the level of traffic congestion rises and the complexity of traffic networks increases, the development of effective transportation strategies becomes the most challenging task for every transport authority. Meanwhile, advancements in computer technology and especially the technique of computer simulation offer a new effective way for testing plausible solutions prior to their implementation. Based on a microscopic traffic simulation model this paper presents an evaluation of the effectiveness of alternative traffic solution interventions on a main arterial in Nicosia, Cyprus. In particular, computer experiments are carried out to test various plausible scenario solutions. The scenarios under evaluation, involve the use of dedicated bus lanes, high occupancy vehicle lanes and road enhancement interventions. The simulation results show that an attractive scenario such as the use of dedicated bus lanes, if not designed properly, could bring disastrous results not only to the private car transport mode but also to the bus transport mode as coupling effects cause buses to get stuck with the rest of the traffic. By going through a computer experimentation process and scenario analysis a viable solution is derived, where restricted lanes for buses and high occupancy vehicles are introduced in combination with road geometry redesign and traffic re-direction at key points. 96 177 187 "p"Sponsors: WIT Transactions on The Built Environment Conference code: 71376

Abstract

This work addresses the planning process of a public passenger transport operator, including the generation of schedules and services for vehicles and drivers, in the framework of a previously agreed service. This problem will be studied in the context of all stages of the planning process: parameterization, preparation, production of performance indicators and the generation of results for different operational scenarios. info:eu-repo/semantics/publishedVersion

Abstract

Transport energy modeling is a subject of current interest among transport engineers and scientists concerned with problems of sustainable transport. Transport energy planning is not possible without a reasonable knowledge of past and present energy consumption and likely future demands. In this study, three forms of the energy demand equations are developed in order to improve transport energy demand estimation efficiency for future projections based on genetic algorithm (GA) notion. The Genetic Algorithm Transport Energy Demand Estimation (GATEDE) model is developed using population, gross domestic product and vehicle-km. All equations proposed here are linear and non-linear, of which one is linear, second is exponential and third is quadratic. The quadratic form of the GATEDE model provided better-fit solution to the observed data and can be used with a high correlation coefficient for Turkey's future transport energy projections. It is expected that this study will be helpful in developing highly applicable and productive planning for transport energy policies. The GATEDE gives transport energy demand in comparison with the other transport energy demand projections. The GATEDE model plans the sectoral energy demand of Turkey until 2020. (C) 2003 Elsevier Ltd. All rights reserved. C1 Pamukkale Univ, Fac Engn, Dept Civil Engn, PAU Insaat Muh Kinikli, TR-20017 Denizli, Turkey.

Abstract

One of the ways to include the audiovisual teaching within the compulsory education system is perhaps to provide arguments consistent with the theoretical framework used by the authorities which draw up educational policies. Lately, the valuation of the teaching process has turned on the notion of competence. This work aims to reflect on some of the competences which are developed through the teaching of audiovisual production.

Abstract

Collaborative learning has a strong presence in technology-supported education and, as a result, practices being developed in the form of Computer Supported Collaborative Learning (CSCL) are more and more common. Planning seems to be one of the critical issues when elaborating CSCL proposals, which necessarily take into account technological resources, methodology and group configuration as a means to boost exchange and learning in the community. The purpose of this study is to analyze the relevance of the CSCL planning phase and weigh up the significance of its key design components as well as examining group agreement typology and its usefulness in team building and performance. To do so, research was carried out using a non-experimental quantitative methodology consisting of a questionnaire answered by 106 undergraduate students from 5 different CSCL-based subjects. Results prove the usefulness of the planning components and the drafting of group agreements and their influence on group building and interaction. In order to ensure the quality of learning, it is essential to plan CSCL initiatives properly and understand that organizational, pedagogical and technological decisions should converge around a single goal which is to sustain the cognitive and social aspects that configure individual and group learning.