Simone Leao

Spatial-temporal model for demand and allocation of waste landfills in growing urban regions

Abstract Shortage of land for waste disposal is a serious and growing potential problem in most large urban regions. However, no practical studies have been reported in the literature that incorporate the process of consumption and depletion of landfill space in urban regions over time and analyse its implications for the management of waste. An evaluation of existing models of waste management indicates that they can provide significant insights into the design of solid waste management activities. However, these models do not integrate spatial and temporal aspects of waste disposal that are essential to understand and measure the problem of shortage of land. The lack of adequate models is caused in part due to limitations of the methodologies the existing models are based upon, such as limitations of geographic information systems (GIS) in handling dynamic processes, and the limitations of systems analysis in incorporating spatial physical properties. This indicates that new methods need to be introduced in waste management modelling. Moreover, existing models generally do not link waste management to the process of urban growth. This paper presents a model to spatially and dynamically model the demand for and allocation of facilities for urban solid waste disposal in growing urban regions. The model developed here consists of a loose-coupled system that integrates GIS (geographic information systems) and cellular automata (CA) in order to give it spatial and dynamic capabilities. The model combines three sub-systems: (1) a CA-based model to simulate spatial urban growth over the future; (2) a spread-sheet calculation for designing waste disposal options and hence evaluating demand for landfill space over time; and (3) a model developed within a GIS to evaluate the availability and suitability of land for landfill over time and then simulate allocation of landfills in the available land. The proposed model has been tested and set up with data from a real source (Porto Alegre City, Brazil), and has successfully assessed the demand for landfills and their allocation over time under a range of scenarios of decision-making regarding waste disposal systems, urban growth patterns and land evaluation criteria.

Assessing the demand of solid waste disposal in urban region by urban dynamics modelling in a GIS environment

The twentieth century saw a dramatic increase in the production of urban solid waste, reflecting unprecedented global levels of economic activity. Despite some efforts to reduce and recover the waste, disposal in landfills is still the most usual destination. However, landfill has become more difficult to implement because of its increasing cost, community opposition to landfill siting, and more restrictive environmental regulations regarding the siting and operation of landfills. Moreover, disposal in landfill is the waste destination method with the largest demand for land, while land is a resource whose availability has been decreasing in urban systems. Shortage of land for landfills is a problem frequently cited in the literature as a physical constraint. Nonetheless, the shortage of land for waste disposal has not been fully studied and, in particular, quantified. This paper presents a method to quantify the relationship between the demand and supply of suitable land for waste disposal over time using a geographic information system and modelling techniques. Based on projections of population growth, urban sprawl and waste generation the method can allow policy and decision-makers to measure the dimension of the problem of shortage of land into the future. The procedure can provide information to guide the design and schedule of programs to reduce and recover waste, and can potentially lead to a better use of the land resource. Porto Alegre City, Brazil was used as the case study to illustrate and analyse the approach. By testing different waste management scenarios, the results indicated that the demand for land for waste disposal overcomes the supply of suitable land for this use in the study area before the year 2050.

2Loud ?: Community mapping of exposure to traffic noise with mobile phones

Despite ample medical evidence of the adverse impacts of traffic noise on health, most policies for traffic noise management are arbitrary or incomplete, resulting in serious social and economic impacts. Surprisingly, there is limited information about citizen’s exposure to traffic noise worldwide. This paper presents the 2Loud? mobile phone application, developed and tested as a methodology to monitor, assess and map the level of exposure to traffic noise of citizens with focus on the night period and indoor locations, since sleep disturbance is one of the major triggers for ill health related to traffic noise. Based on a community participation experiment using the 2Loud? mobile phone application in a region close to freeways in Australia, the results of this research indicates a good level of accuracy for the noise monitoring by mobile phones and also demonstrates significant levels of indoor night exposure to traffic noise in the study area. The proposed methodology, through the data produced and the participatory process involved, can potentially assist in planning and management towards healthier urban environments.

Mapping 100 Years of Thornthwaite Moisture Index: Impact of Climate Change in Victoria, Australia

Geographer C. W. Thornthwaite proposed in 1948 a moisture index called Thornthwaite Moisture Index (TMI) as part of a water balance model for a new classification system for climate. The importance of TMI climatic classification has been recognised in many areas of knowledge and practice worldwide over the last 60 years. However, although past climate research was focused on developing adequate methods for climate classification, current research is more concerned with understanding the patterns of climate change. The use of TMI as an indicator for climate change is still an incipient area of research. The contributions of this paper are twofold. First, it is to fully document a methodology based on geostatistics adopted to produce a time series of TMI maps that are accurate and have high spatial resolution. The state of Victoria, in Australia, over the last century, is used as the case study. Second, by analysing these maps, the paper presents a general evaluation of the spatial patterns found in Victoria related to moisture variability across space and over time. Some potential implications of the verified moisture changes are discussed, and a number of ideas for further development are suggested.

Mapping Bicycling Patterns with an Agent-Based Model, Census and Crowdsourced Data.

As our cities continue to grow issues such as congestion, air pollution and population health are also on the increase. Active transport can play an important part in activating multi-benefits for citizens and the city. In this research we focus our attention on understanding the patterns and behaviours of bicyclists as a form of active transport. There are a number of data sources which can be used to analyse patterns of cycling across cities. With the advent of smart phones with GPS and cycling specification apps, crowdsourced approaches can be used to acquire fine scale individual cycle travel patterns. In this research we analyse such crowdsourced data acquired through the riderlog application with specific focus on the City of Sydney. We use this rich data source along with other a more traditional journey to work and household travel survey data to create an agent based model using the open source GAMA platform. The work in this paper is early work in building a more sophisticated Agent-Based Model (ABM) to understanding cycling patterns across the City of Sydney to hence we commence by first testing the simple hypothesis is the shortest distance the main criteria for commuting by bicycle?

Mapping potential risk for housing damage from ground movement due to climate change

The performance of footings in residential construction is influenced by the degree of ground movement, particularly in reactive soils, which is driven by the magnitude of change in soil moisture. New patterns of climate are affecting residential foundations and causing serious and expensive damage. This paper produces a map of potential risk for housing damage from ground movement due to climate change. Using a geographic information system, it combines information on (1) soil moisture change related to climate, using TMI as the indicator, and (2) population growth. Preliminary results, having Victoria, Australia, in the last decade as the case study, suggest that effects of climate change on soil, and resulting impacts on house foundations, are not being taken into consideration in current planning strategies for urban development. Most of the urban growth priority zones in the study area are susceptible to medium and high risk for damage. Producing new and renovated buildings that are durable in the long term is essential for the economy, environment and social welfare. The map presented here can assist policies and strategies towards urban resilience in the context of climate change.

Factors Motivating Citizen Engagement in Mobile Sensing: Insights from a Survey of Non-Participants

Abstract Mobile sensing uses features of mobile technology to monitor the environment and if a community participates in such monitoring, there can be community improvements in the quality of life. Despite the numerous potential benefits, the rate of citizen engagement in mobile sensing is generally low. Using the urban sensing project called “2Loud?,” this study was designed to uncover the reasons for non-participation and to discuss the motivations for intention to participate. A survey was administered to citizens who had been invited to participate but had decided not to participate. Examining the four motivational factors of “Concern,” “Belief,” “Technology,” and “Time” through a series of Kruskal-Wallis H Tests indicated that respondents had a statistically significant favorable attitude toward “Intention to Participate” if they had some concern and belief, and if they had access to technology and available time, compared to those who did not. However, binary logistic regression analysis indicated that only “Time” and “Technology” were significant predictors of “Intention to Participate.” These findings are discussed in light of social psychology and information technology theories, and recommendations for improved communication and engagement strategies are suggested.

Assessing the trade-off between data quality and spatial resolution for the Thornthwaite Moisture Index mapping

Abstract The Thornthwaite Moisture Index (TMI) is a climate classification used in biophysical and biological studies. A TMI mapping of Victoria/Australia over the century indicated its applicability to assess climate change induced patterns of moisture variability. This paper progresses upon this, developing analytical procedures to assess the quality of the climate data used as input, and to select suitable spatial resolution for the output map. It is argued here that these are interrelated issues, and that the selection of a certain data quality level or a spatial resolution for TMI mapping needs to consider a trade-off between precision and scale. Results indicated that different trade-off options affect the climate classification and, therefore, a proposed framework can be used for non-arbitrary decisions on TMI mapping.

Participatory sensing and education : Helping the community mitigate sleep disturbance from traffic noise

Purpose – This paper aims to present a project in Australia, where participants use smartphones to measure the level of traffic noise in their homes. Through the data collected, participants learn if they are subjected to sleep disturbances and, if so, understand how they can manage the issue to protect their health. The project also has a secondary purpose: the local council would like to engage its community through the exercise and be seen as acting on the community’s problems. Design/methodology/approach – The approach taken was the development of a mobile app call 2Loud? that turns the smartphones of participants into noise sensors with accuracies comparable to professional sound-meters. The data collected are analyzed by environment and acoustic experts, and personalized feedback, in the form of mitigation strategies, is then provided. The strategies are delivered through the app to allow participants to share within the community and hence, propagate the solution to non-participants. Findings – Par...

The Use of Public Transport in Coastal Australia: Modes of Travel to Work and Greenhouse Emissions

Commuting to work is one of the most important and regular routines of transportation in towns and cities. From a geographic perspective, the length of people’s commute is influenced, to some degree, by the spatial separation of their home and workplace and the transport infrastructure. The rise of car ownership in Australia from the 1950s to the present was accompanied by a considerable decrease of public transport use. Currently there is an average of 1.4 persons per car in Australia, and private cars are involved in approximately 90% of the trips, and public transportation in only 10%. Increased personal mobility has fuelled the trend of decentralised housing development, mostly without a clear planning for local employment, or alternative means of transportation. Transport sector accounts for 14% of Australia’s net greenhouse gas emissions. Without further policy action, Australia’s emissions are projected to continue to increase. The Australian Federal Government and the new Department of Climate Change have recently published a set of maps showing that rising seas would submerge large parts of Victoria coastal region. Such event would lead to major disruption in planned urban growth areas in the next 50 years with broad scale inundation of dwellings, facilities and road networks. The Greater Geelong Region has well established infrastructure as a major urban centre and tourist destination and hence attracted the attention of federal and state governments in their quest for further development and population growth. As a result of its natural beauty and ecological sensitivity, scenarios for growth in the region are currently under scrutiny from local government as well as development agencies, scientists, and planners. This paper is part of a broad research in the relationship between transportation system, urban form, trip demand, and emissions, as a paramount in addressing the challenges presented by urban growth. Progressing from previous work focused on private cars, this present paper investigates the use of public transport as a mode for commuting in the Greater Geelong Region. Using a GIS based interaction model, it characterises the current use of the existing public transportation system, and also builds a scenario of increased use of the existing public transportation system, estimating potencial reductions in CO2 emissions. This study provides an improved understanding of the extent to which choices of transport mode and travel activity patterns, affect emissions in the context of regional networks. The results indicate that emissions from commuting by public transportation are significantly lower than those from commuting by private car, and emphasise that there are opportunities for large abatment in the greenhouse emissions from the transportation sector related to efforts in increasing the use of existing public transportation system.