998 resultados para Transit Planning


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While participatory processes have become an important part of water planning, young people are a particularly vulnerable group in terms of potential marginalisation and exclusion from effective participation. Including the views of young people in water planning is not simply a matter of bringing them into existing processes. Instead, processes must be modified to accommodate their needs and ways of expressing their views. Without these adjustments young people may simply move from being kept outside the process to a situation where although they are formally included, their claims are not taken seriously and they are not treated with equal respect. In this paper we reflect on the success of the community advisory committee, formed to develop the Gold Coast Waterfuture Strategy, in integrating the views of young people into their deliberations. Using Young's communicative democracy we highlight the challenges and opportunities presented by this approach, as articulated by both the young people involved and the adult participants, and specifically consider the how the elements of greeting, rhetoric and narrative were reflected in the committee process.

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This paper compares the urbanization and planning in the two sunshine states of Florida and Queensland highlighting the similarities and differences, evaluates how effective the growth management programs have been, and examines the recent changes and the challenges they bring to the respective states.

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More evenly spread demand for public transport throughout a day can reduce transit service provider‟s total asset and labour costs. A plausible peak spreading strategy is to increase peak fare and/or to reduce off-peak fare. This paper reviews relevant empirical studies for urban rail systems, as rail transit plays a key role in Australian urban passenger transport and experiences severe peak loading variability. The literature is categorised into four groups: a) passenger opinions on willingness to change time for travel, b) valuations of displacement time using stated preference technique, c) simulations of peak spreading based on trip scheduling models, and: d) real-world cases of peak spreading using differential fare. Policy prescription is advised to take into account impacts of traveller‟s time flexibility and joint effects of mode shifting and peak spreading. Although focusing on urban rail, arguments in this paper are relevant to public transport in general with values to researchers and practitioners.

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Earthwork planning has been considered in this article and a generic block partitioning and modelling approach has been devised to provide strategic plans of various levels of detail. Conceptually this approach is more accurate and comprehensive than others, for instance those that are section based. In response to environmental concerns the metric for decision making was fuel consumption and emissions. Haulage distance and gradient are also included as they are important components of these metrics. Advantageously the fuel consumption metric is generic and captures the physical difficulties of travelling over inclines of different gradients, that is consistent across all hauling vehicles. For validation, the proposed models and techniques have been applied to a real world road project. The numerical investigations have demonstrated that the models can be solved with relatively little CPU time. The proposed block models also result in solutions of superior quality, i.e. they have reduced fuel consumption and cost. Furthermore the plans differ considerably from those based solely upon a distance based metric thus demonstrating a need for industry to reflect upon their current practices.

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Institutional responses to climate change stresses through planning will require new and amended forms of governance. Institutional framing of change imperatives can significantly condition associated governance responses. This paper builds on scholarly conversations concerning the conceptual role of ‘storylines’ in shaping institutional responses to climate change through governance. It draws on conceptual perspectives of climate change as a ‘transformative stressor’, which can compel institutional transformation within planning. The concepts of storylines and transformative stressors are conceptually linked. The conceptual approach is applied to an empirical enquiry focused on the regional planning regime of South East Queensland (SEQ), Australia. This paper reports and examines three institutional storylines of responding to climate change through planning governance in SEQ. It concludes that the manifestation of climate change as a transformative stressor in SEQ prompted institutional transformation, leading to a dominant storyline focused on climate adaptation as an important facet of regional planning governance.

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A city is the most dramatic manifestation of human activities on the environment. This human dominated organism degrades natural habitats, simplifies species composition, disrupts hydrological systems, and modifies energy flow and nutrient cycling. Sustainable urban development is seen as a panacea to minimise these externalities caused by widespread human activities on the environment. The concept of sustainable urban development has been around over a considerably long-time as the need to adopt environmentally sustainable behaviours made the international community commit to it. However, to date such development has not been achieved in large scales anywhere around the globe. This review paper aims to look at the sustainable urban development concept from the lens of planning and development integration to generate new insights and directions. The paper reports the outcome of the review of the literature on planning and development approaches—i.e., urban planning, ecological planning, urban development, sustainable urban development—and proposes a new process to support the efforts for achieving sustainable urban development—i.e., integrated urban planning and development process. The findings of this review paper highlights that adopting such holistic planning and development process generate a potential to further support the progress towards achieving sustainability agendas of our cities.

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Like other Western nations, since the nineteenth century Australia has been a representative democracy, in which citizens elect parliamentary representatives to make decisions and develop policies on their behalf (see chapter 5). These representatives are supported in their decision making by an ‘arm’s-length’, ‘techno-bureaucratic administration’, which includes experts such as environmental planners (Fung and Wright 2003, p. 3). However, as the issues for decision-making become increasingly complex, and societies increasingly diverse, the idea of citizen participation in decision-making is ever more accepted. There is now a significant body of political theory arguing for a more participatory model of democracy (participatory democracy), a model that strives to create opportunities for all members of a society to contribute meaningfully to decisions about the matters affecting their lives.

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Following considerable criticism of the complexity and lack of readability of product disclosure statements (PDSs), regulatory changes were introduced requiring shorter PDSs for certain investment products. This paper reports the findings of an online survey of financial planners regarding use of managed investment scheme (MIS) PDSs with clients, the perceived usefulness of PDSs as an information source, and their views on shorter PDSs. Our findings highlight major concerns about the usefulness of the PDS and disclosure reforms.

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This paper provides an introductory discussion to a study focusing on industry Reconciliation Action Plans (RAP) and sustaining Indigenous employment in Queensland. Indigenous people continue to experience deep and persistent disadvantage in employment, which limits their life prospects (McLachlan, Gilgillan & Gordon, 2013). A major contributing factor to this detriment is irregular employment and or unemployment. A reasonable standard of living has been found to be determined by access to economic resources such as income and wealth. Denial of this access, denies access to income streams, social status, and engagement in meaningful activities. Hence, job loss and joblessness are triggers of disadvantage (McLachlan, et al., 2013). For young Indigenous people, lack of access has lasting effects particularly if they have multiple characteristics that place them at risk of disadvantage. The project aims to develop knowledge and understanding of Industry RAPs mediate employment opportunities for Indigenous people and how young Indigenous people conceive of their employment options and the processes by which employers can best support Indigenous people. It adopts two theoretical frameworks to investigate the aim of the study : (1) Lave and Wenger’s (1991) theory of communities of practice and, (2) Sen’s (1993) capability approach which provides a structure for examining individual well-being in the context of societal inequality. This paper discusses the first research question of the study: What are Industry Reconciliation Action Plans? What is included in RAPs? Why do Industries develop RAPs? How do RAPs attract, recruit, retain, and tenure Indigenous people? The project’s significance rests with its focus on Industry, employers, policies and practices that aid the attraction and retention of Indigenous people in employment.

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Relevant Education Contexts, Examples of TCQSM Applicability to Undergraduate Disciplines, Why Teach with the TCQSM?, TCQS Teaching Tools, Theory Curriculum Example: Examination Question, Problem Based Learning Example: Senior Year Semester Team Project, Honors Dissertation Example Topics, Where to From Here?

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This paper presents mathematical models for BRT station operation, calibrated using microscopic simulation modelling. Models are presented for station capacity and bus queue length. No reliable model presently exists to estimate bus queue length. The proposed bus queue model is analogous to an unsignalized intersection queuing model.

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This paper investigates quality of service and resource productivity implications of transit route passenger loading and travel distance. Weekday Automatic Fare Collection data for a premium radial bus route in Brisbane, Australia, is used to investigate correlation between load factor and distance factor. Relationships between boardings and transit work indicate that distance factor generally increases with load factor. Time series analysis is then presented by examining each direction on an hour by hour basis. Inbound correlation is medium to strong across the entire span of service and strong for daytime services up to 19:30, while outbound correlation is strong across the entire span. Passengers tend to be making longer distance, peak direction commuter trips under the least comfortable conditions under stretched peak schedules than off-peak. Therefore productivity gains may be possible by adjusting fleet utilization during off-peak times. Weekday profiles by direction are established for a composite load-distance factor. A threshold corresponding to standing passengers on the Maximum Load Segment reveals that on-board loading and travel distance combined are more severe during the morning inbound peak than evening outbound peak, although the sharpness of the former suggests that encouraging shoulder peak travel during the morning would be more effective than evening peak. Further research suggested includes: consideration of travel duration factor, relating noise within hour to Peak Hour Factor, profiling load-distance factor across a range of case studies, and relating load-distance factor threshold to line length.

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The selection of optimal camera configurations (camera locations, orientations, etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we propose a statistical framework of the problem as well as propose a trans-dimensional simulated annealing algorithm to effectively deal with it. We compare our approach with a state-of-the-art method based on binary integer programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than two alternative heuristics designed to deal with the scalability issue of BIP. Last, we show the versatility of our approach using a number of specific scenarios.

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Stations on Bus Rapid Transit (BRT) lines ordinarily control line capacity because they act as bottlenecks. At stations with passing lanes, congestion may occur when buses maneuvering into and out of the platform stopping lane interfere with bus flow, or when a queue of buses forms upstream of the station blocking inflow. We contend that, as bus inflow to the station area approaches capacity, queuing will become excessive in a manner similar to operation of a minor movement on an unsignalized intersection. This analogy is used to treat BRT station operation and to analyze the relationship between station queuing and capacity. In the first of three stages, we conducted microscopic simulation modeling to study and analyze operating characteristics of the station under near steady state conditions through output variables of capacity, degree of saturation and queuing. A mathematical model was then developed to estimate the relationship between average queue and degree of saturation and calibrated for a specified range of controlled scenarios of mean and coefficient of variation of dwell time. Finally, simulation results were calibrated and validated.

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Public transport travel time variability (PTTV) is essential for understanding deteriorations in the reliability of travel time, optimizing transit schedules and route choices. This paper establishes key definitions of PTTV in which firstly include all buses, and secondly include only a single service from a bus route. The paper then analyses the day-to-day distribution of public transport travel time by using Transit Signal Priority data. A comprehensive approach using both parametric bootstrapping Kolmogorov-Smirnov test and Bayesian Information Creation technique is developed, recommends Lognormal distribution as the best descriptor of bus travel time on urban corridors. The probability density function of Lognormal distribution is finally used for calculating probability indicators of PTTV. The findings of this study are useful for both traffic managers and statisticians for planning and researching the transit systems.