Spatial information systems in managing public transport information

Traffic congestion is one of the major problems plaguing urban cities all over the world today. With traffic congestion, goods and services experience delays in accessing markets and employees are late for work. This results in reduced production. At the same time, idling vehicles waste fuel and cause air pollution. This situation is the same in South Africa, where millions of rand are lost each year on congestion costs (CERF 1999). Studies carried out in Cape Town, South Africa, project that if no immediate action is taken to reduce traffic congestion, by the year 2020, the car population will increase by 64%, thereby reducing highway traffic speeds to 29 kilometres per hour (South Africa. National Department of Transport 1999). Worldwide, policies to reduce congestion levels include, among other things, the promotion of public transport (Climate Change 2001; Cullinane and Cullinane 2003). As public transport has a better cost and space effectiveness for transportation of volumes of people, having more people use public transport will lead to a reduction in the number of vehicles on the road. This will, in turn, reduce traffic congestion and its effects (De Saint Laurent 1998)

Data integration for urban transport planning

Urban transport planning aims at balancing conflicting challenges by promoting more efficient transport systems while reducing negative impacts. The availability of better and more reliable data has not only stimulated new planning methodologies, but also created challenges for efficient data management and data integration. The major focus of this study is to improve methodologies for representing and integrating multi-source and multi-format urban transport data. This research approaches the issue of data integration based on the classification of urban transport data both from a functional and a representational perspective. The functional perspective considers characteristics of the urban transport system and planning requirements, and categorises data into supply, demand, performance and impact. The representational perspective considers transport data in terms of their spatial and non-spatial characteristics that are important for data representation. These two perspectives correspond to institutional and methodological data integration respectively, and are the foundation of transport data integration. This research is based on the city of Wuhan in China. The methodological issues of transport data integration are based on the representational perspective. A framework for data integration has been put forward, in which spatial data are classified as point, linear and areal types, and the non-spatial data are sorted out as values and temporal attributes. This research has respectively probed the integration of point, linear and areal transport data within a GIS environment. The locations of socio-economic activities are point-type data that need to be spatially referenced. A location referencing process requires a referencing base, source address units and referencing methods. The referencing base consists of such spatial features as streets, street addresses, points of interest and publicly known zones. These referencing bases have different levels of spatial preciseness and have to be kept in a hierarchy. Source addresses in Chinese cities are usually written as one sentence, which has to be divided into address units for automatic geo-coding. As it is difficult to separate from the sentences, the address units have to be clearly identified in survey forms. Depending on the types of address units, the referencing process makes use of either semantic name matching or address matching to link source addresses to features in the referencing base. The name-based and road-based referencing schemes constitute a comprehensive location referencing framework that is applicable to Chinese cities. The relationship between two sets of linear features can be identified with spatial overlay in the case of independent representation, or with internal linkage in a dependent representation. The bus line is such a feature that runs on the street network and can be dependently referenced by streets. In the heavily bus-oriented city of Wuhan, bus lines constitute a large public transit network that is important to transport planning and management. This research has extended conventional bus line representation to a more detailed level. Each bus line has been differentiated as two directional routes that are defined separately with reference to the street network. Accordingly, individual route stops are also represented in the database. These stop sites are spatial features with geometry that are linked to street segments and bus routes by linear location referencing methods. A data model linking base street network, bus lines and routes, line and route stops, and other bus operations data has been constructed. The benefits of the detailed model have been demonstrated in several transport applications. Zonal data transitions include three types of operations, i.e. aggregation, areal interpolation and disaggregation. This study focuses on disaggregating data from larger zones to smaller zones. In the context of Wuhan, zonal data disaggregation involves the allocation of statistical data from statistical units to smaller parcels. Given the availability of land use data, a weighted approach reflecting spatial variations has been applied in the disaggregation process. Two technical processes for disaggregation have been examined. Weighted area-weighting (WAW) is an adaptation of the classic area-weighting method, and Monte Carlo simulation (MC) is a stochastic process based on a raster data model. The MC outcome is more convenient for subsequent re-aggregation, and is also directly available for micro-simulation. An important contribution arising from this zonal integration study is that two standardised disaggregation tools have been developed within a GIS environment. The research has also explored the institutional aspect of data integration. The findings of this study show that there is generally a good institutional transport structure in the city of Wuhan and that there is also a growing awareness of using information technology. Professional cooperation exists among transport organisations, but not yet at a level for data sharing. An integrated data support framework requires data sharing. In such a framework, it should be possible to know where to get data for specific transport studies, or which kind of research an institution supports

Energy-based industrial symbiosis: a literature review for circular energy transition

Nowadays, industrial symbiosis (IS) is recognized as a key strategy to support the transition toward the circular economy. IS deals with the (re)use of wastes produced by a production process as a substitute for traditional production inputs of other traditionally disengaged processes. In this context, this paper provides a systematic literature review on the energy-based IS approach, i.e., IS synergies aimed at reducing the amount of energy requirement from outside industrial systems or the amount of traditional fuels used in energy production. This approach is claimed as effective aimed at reducing the use of traditional fuels in energy production, thus promoting a circular energy transition. 682 papers published between 1997 and 2018 have been collected, and energy-based IS cases have been identified among 96 of these. As a result of the literature review, three categories of symbiotic synergies have been identified: (1) energy cascade; (2) fuel replacement; and (3) bioenergy production. Through the review, different strategies to implement energy-based IS synergies are highlighted and discussed for each of the above-mentioned categories. Furthermore, drivers, barriers, and enablers of business development in energy-based IS are discussed from the technical, economic, regulatory, and institutional perspective. Accordingly, future research directions are recommended

A systemic design application for resources management in urban green spaces

Urban green spaces are often analyzed by the quantity of provided services, the kind of benefits they supply for the community and the human actions that modify the urban ecosystems. Moreover, urban green spaces and green infrastructures can produce important resources, even if these latter are not always considered during the preparation of management plans. To this extent, the Systemic Design can help to show the qualitative aspects of these resources and how they can be managed. Aim of this study is therefore to illustrate how a holistic approach like the Systemic Design can be applied to the management of urban green infrastructure, their ecosystem services and the raw materials and resources useful for the community.With an application to a real case, we will show how a Systemic Design approach is able to state resources' availability in a green urban area with the consequent identification of the area in which these resources can be employed. This identification is the essential prerequisite for the creation of a plan that stress the links among ecosystem services, resources and urban dwellers and the consequent best management practices, with particular emphasis on challenges related to climate changes and increasing urbanization.When necessary, Systemic Design can also provide viable indications to redesign a new context with different fluxes of materials and energy and can contribute to the creation of a set of new activities deeply connected with local green spaces. The final results can be identified in the creation of work tools for administrators and urban designers interested in the integrated management of green infrastructures and the suggestion of a new urban model, with stronger connections between society and territory, for more sustainable and resilient cities