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Japan is currently facing serious issues associated with an aging society and negative population growth. Urban structures, remnants of economic prosperity, are now hindrances to sustainable urban development, driving municipalities to seek efficient methods to manage this growth. Japanese municipalities continuously conduct surveys to collect data for urban planning purposes. However, lack of standardization and poor visualization tools prevent coordination and consensus-building among stakeholders during the planning process. The "i-Urban Revitalization" (i-UR) is an information infrastructure promoted by the Japanese government expected to enable municipalities to analyze and visualize their goals related to that process. This paper presents the implementation of i-UR. One approach employed for data standardization is to develop a CityGML Application Domain Extension (ADE) for urban planning that covers detailed attributes of city objects and mechanisms for global representation and analysis necessary for urban planning. The effectiveness of this ADE is being evaluated through data implementation and visualization experiments conducted in three municipalities in Japan. A prototype for the proposed "AR Consensus-formation system" is being developed for further utilization of the ADE. In addition, Ideathon events are being held to develop human resources in municipalities to promote urban revitalization and facilitate i-UR use. The ADE and i-UR tools described in this paper are expected to evolve based on feedback from users and experimental results.

The government of Indonesia has pledged to meet ambitious greenhouse gas mitigation goals in its Nationally Determined Contribution as well as reduce water pollution through its water management policies. A set of technologies could conceivably help achieving these goals simultaneously. However, the installation and widespread application of these technologies will require knowledge on how governance affects the implementation of existing policies as well as cooperation across sectors, administrative levels, and stakeholders. This paper integrates key governance variables--involving enforcement capacity, institutional coordination and multi-actor networks--into an analysis of the potential impacts on greenhouse gases and chemical oxygen demand in seven wastewater treatment scenarios for the fish processing industry in Indonesia. The analysis demonstrates that there is an increase of 24% in both CH4 and CO2 emissions between 2015 and 2030 in the business-as-usual scenario due to growth in production volumes. Interestingly, in scenarios focusing only on strengthening capacities to enforce national water policies, expected total greenhouse gas emissions are about five times higher than in the business-as-usual in 2030; this is due to growth in CH4 emissions during the handling and landfilling of sludge, as well as in CO2 generated from the electricity required for wastewater treatment. In the scenarios where there is significant cooperation across sectors, administrative levels, and stakeholders to integrate climate and water goals, both estimated chemical oxygen demand and CH4 emissions are considerably lower than in the business-as-usual and the national water policy scenarios.

The government of Indonesia has pledged to meet ambitious greenhouse gas mitigation goals in its Nationally Determined Contribution as well as reduce water pollution through its water management policies. A set of technologies could conceivably help achieving these goals simultaneously. However, the installation and widespread application of these technologies will require knowledge on how governance affects the implementation of existing policies as well as cooperation across sectors, administrative levels, and stakeholders. This paper integrates key governance variables--involving enforcement capacity, institutional coordination and multi-actor networks--into an analysis of the potential impacts on greenhouse gases and chemical oxygen demand in seven wastewater treatment scenarios for the fish processing industry in Indonesia. The analysis demonstrates that there is an increase of 24% in both CH4 and CO2 emissions between 2015 and 2030 in the business-as-usual scenario due to growth in production volumes. Interestingly, in scenarios focusing only on strengthening capacities to enforce national water policies, expected total greenhouse gas emissions are about five times higher than in the business-as-usual in 2030; this is due to growth in CH4 emissions during the handling and landfilling of sludge, as well as in CO2 generated from the electricity required for wastewater treatment. In the scenarios where there is significant cooperation across sectors, administrative levels, and stakeholders to integrate climate and water goals, both estimated chemical oxygen demand and CH4 emissions are considerably lower than in the business-as-usual and the national water policy scenarios.