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Purpose – The purpose of this chapter is to propose a cross-assessment model as an analytical tool for developing sustainable urban transport and land-use strategies for a low-carbon society.

Methodology – A cross-assessment model is developed based on demand and supply models of transport services. The model is able to generate a set of the optimal service levels in public transport reflecting selected target strategies. It is applied to an impact analysis of public transport and land-use strategies in 2030 for all of Japan's 269 urban areas,with outcomes – including the financial balance of public transport operation, user benefits and CO2 emissions reduction – compared among strategies and urban areas.

Findings – The analytical results show that three value factors of efficiency, equity and the environment do not necessarily conflict with each other. In particular, it is clarified that CO2-emission reduction targets can contribute to the improvement of both financial balance and user benefits at the national level. In addition, the results of comparative analysis among the land-use and transport integration (LUTI) scenarios demonstrate that a combination of urban transport strategies and land-use control in the form of ‘corridors and multi-centres’ provides greater emission reduction and increased user benefits.

Implications – The cross-assessment model developed in this chapter could serve as an analytical tool for strategic transport planning. The results in this chapter underlinethe benefit of LUTI strategies particularly in China.

This chapter presents projections of residential development in Wappinger Creek watershed of Dutchess County, New York in the Hudson River Valley. A spatial econometric model is developed based on data from a geographical information system (GIS) of county-level socio-economic trends, tax parcel attributes, town-level zoning restrictions, location variables, and bio-geophysical constraints including slope, soil type, riparian and agricultural zones. Monte Carlo simulation is employed to distribute spatially explicit projections of land-use change under various residential development scenarios. Scenario analysis indicates the likelihood of continued residential, decentralized development patterns in formerly agricultural and forested parcels. Policy scenarios demonstrate possible courses of action to direct development and protect watershed health.

The purpose of this chapter is to ask and answer the question of what would happen if Genetically Modified Organism (GMO) plant materials were banned. We report on two studies – one with United States only ban and one with a global ban. We used a global computable general equilibrium (CGE) model, Global Trade Analysis Project (GTAP), for the analysis. This model has been used in hundreds of published papers on trade, energy, land use, and environmental issues. Our use of the model was to estimate the crop yield benefits for the major GMO crops, and then to convert this to a loss if the GMO traits were banned. We then shocked the GTAP model with the yield losses and estimate economic, land use, and greenhouse gas (GHG) emission impacts. We found that losing the GM technology would cause commodity and food prices to increase and also bring about a significant increase in GHG emissions. The increase in emissions is caused by the need to convert forest and pasture to compensate for the lost production. Another interesting conclusion of the global ban study is that economic well-being for the United States, the world’s largest GMO user, actually increases with a ban. Many regions that ban or use little GMO varieties like the European Union, India, China, and Japan all see economic well-being decrease. These counterintuitive results are driven mainly by trade patterns. Therefore GMO technology helps agriculture reduce its carbon footprint. Without this technology, agricultural land-use GHG emissions increase as do food prices. Some groups would like to see GMOs banned and also see GHG emissions fall. You cannot have it both ways.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

An expanded perspective on information system design paradigms reveals that information systems (IS) have a generative capacity that enables reframing and recasting reality based upon alternative values. By synthesizing research in sustainable value, generative capacity, and community-based geographic information systems (GIS), we propose that IS can empower communities to create community sustainable value as they face increasing environmental and growth challenges. This surfaces the opportunity for the design and implementation of GIS to reduce information asymmetry, empower communities, and provide a history of decision-making, thereby enabling monitoring of the components of community sustainable value. Community members may incorporate local data, present alternative development/conservation scenarios, and gain a voice in the planning process. As Web-enabled GIS and low-cost analytic systems become accessible, the system design process itself represents an opportunity for situated social action in the formation of community sustainable values. Synthesizing these perspectives, we put forward the view that GIS development and use at a community level is a potentially constructive social process of value formation that can enable communities to envision their own futures.