Urban water systems face multiple challenges related to future uncertainty and pressures to provide more sustainable and resilient modes of service delivery. Transitioning away from fully centralized water systems is seen as a primary solution to addressing these urban challenges and pressures. We first review the literature on advantages, potential risks, and impediments to change associated with decentralized water system. Our review suggests that adopting decentralized solutions may advance conditions of sustainability and resilience in urban water management. We then explore the potential to incorporate decentralized water systems into broader urban land use patterns that include underserved residential neighborhoods, mixed-use developments, and industrial districts.

Advances in robotics and artificial intelligence (AI) technology have spurred a re-examination of technology’s impacts on jobs and the economy. This article reviews several key contributions to the current jobs/AI debate, discusses their limitations and offers a modified approach, analysing two quantitative models in tandem. One uses robot stock data from the International Federation of Robotics as the primary indicator of robot use, whereas the other uses online job postings requiring robot-related skills. Together, the models suggest that since the Great Recession ended, robots have contributed positively to manufacturing employment in the USA at the metropolitan level.

The growing recognition of industrial robots as a source of innovation and competitiveness for manufacturing is motivating calls for a supportive industrial ecology and policy framework. However, little is known about factors that stimulate robot adoption at the firm level. Based on survey results of 428 manufacturing establishments, this study examines 1) the current diffusion of robotics in manufacturing and 2) establishment- and region-level characteristics associated with robot adoption. Our analysis showsthat while earlier robot adopters were mainly large establishments in the automotive sector, robots are now penetrating small- and medium-sized establishments and other sectors. Furthermore, being in a a region with a large pool of existing robot users and robot-related skilled labour positively affects establishments’ decisions on robot adoption. These trends suggest cumulative advantage (and disadvantage) regarding technology upgrading and a need for policies that can encourage wider adoption of robots.

This article aims to identify occupations at risk of climate change, and explore their spatial distribution by investigating their spatial concentration and cluster patterns in Korea. In order to identify professions vulnerable to climate change, we used three criteria: (1) exposure to the risks of job activities; (2) sensitivity to work environments; and (3) adaptive capacities based on the socioeconomic conditions of a person’s occupation. We identified 26 vocations as vulnerable, which corresponds to 16.5% of the total number of careers. Then, we used exploratory spatial data analysis (ESDA) techniques to examine the spatial distribution of jobs at risk of climate change effects. Endangered occupations show the extremely uneven spatial distributions across regions, indicating that there is a wide range of values for the proportion of endangered occupations across regions. The regions with high proportions of professions in jeopardy show clear spatial clustering based on the large geographic belt from the southwest to the northeast. Our results suggest that policymakers should consider the specific geographies of vulnerable occupations. The current work provides helpful hints on regional policy coordination to promote a virtuous circle of sustainable regional development.

This paper addresses a knowledge gap that exists for citywide or neighborhood-wide applications of onsite water-conserving technologies, such as rainwater and graywater systems. A framework is developed for evaluating policies requiring onsite rainwater and graywater systems in residential units. This framework incorporates housing stock dynamics, fixture retrofitting, and water demand models. It assesses costs and benefits of policy implementation strategies for three urban neighborhoods selected according to their built environment and socioeconomic characteristics. Evaluation results identify a potential 5.4%–37.2% reduction in future neighborhoods’ water demand. With the most cost-efficient water-conserving technologies, a household is expected to save $160–$393 from their annual water bills. The cost-benefit analyses indicate substantial variation in water-saving potential and cost-efficiency of onsite water-conserving technologies across neighborhoods. The findings indicate that to maximize effectiveness, the specific choice of water-conserving technology and implementation strategy needs to account for local conditions of land-use characteristics, household structure, and water-fixture conditions.