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1. Activity locations, residential segregation and the significance of residential neighbourhood boundary perceptions

   https://doi.org/10.1177/0042098020966262  

   Pinchak, Nicolo_P ; Browning, Christopher_R ; Calder, Catherine_A ; Boettner, Bethany ( November 2020 , Urban Studies)

   The inadequacies of residential census geography in capturing urban residents’ routine exposures have motivated efforts to more directly measure residents’ activity spaces. In turn, insights regarding urban activity patterns have been used to motivate alternative residential neighbourhood measurement strategies incorporating dimensions of activity space in the form of egocentric neighbourhoods – measurement approaches that place individuals at the centre of their own residential neighbourhood units. Unexamined, however, is the extent to which the boundaries of residents’ own self-defined residential neighbourhoods compare with census-based and egocentric neighbourhood measurement approaches in aligning with residents’ routine activity locations. We first assess this question, examining whether the boundaries of residents’ self-defined residential neighbourhoods are in closer proximity to the coordinates of a range of activity location types than are the boundaries of their census and egocentric residential neighbourhood measurement approaches. We find little evidence that egocentric or, crucially, self-defined residential neighbourhoods better align with activity locations, suggesting a division in residents’ activity locations and conceptions of their residential neighbourhoods. We then examine opposing hypotheses about how self-defined residential neighbourhoods and census tracts compare in socioeconomic and racial composition. Overall, our findings suggest that residents bound less segregated neighbourhoods than those produced by census geography, but self-defined residential neighbourhoods still reflect a preference towards homophily when considering areas beyond the immediate environment of their residence. These findings underscore the significance of individuals’ conceptions of residential neighbourhoods to understanding and measuring urban social processes such as residential segregation and social disorganisation.

    

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2. Big Data and Residential Energy Efficiency Evaluation

   https://doi.org/10.1007/s40518-018-0098-4  

   Qiu, Yueming ; Patwardhan, Anand ( March 2018 , Current Sustainable/Renewable Energy Reports)
3. Authenticating Endpoints and Vetting Connections in Residential Networks

   https://doi.org/10.1109/ICCNC.2019.8685568  

   Liu, Yu ; Taylor, Curtis R. ; Shue, Craig A. ( February 2019 , International Conference on Computing, Networking and Communications (ICNC))

   The security of residential networks can vary greatly. These networks are often administrated by end-users who may lack security expertise or the resources to adequately defend their networks. Insecure residential networks provide attackers with opportunities to infiltrate systems and create a platform for launching powerful attacks. To address these issues, we introduce a new approach that uses software-defined networking (SDN) to allow home users to outsource their security maintenance to a cloud-based service provider. Using this architecture, we show how a novel network-based two-factor authentication approach can be used to protect Internet of Things devices. Our approach works without requiring modifications to end-devices. We further show how security modules can enforce protocol messages to limit the attack surface in vulnerable devices. Our analysis shows that the system is effective and adds less than 50 milliseconds of delay to the start of a connection with less than 100 microseconds of delay for subsequent packets. 

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4. Mobile Application Driven Diffusion of Energy Saving Practices from Non Residential to Residential Buildings

   Henao, Yulizza ; Mohammadi, Neda ; Taylor, John E. ( December 2020 , Volume 11: Proceedings of 12th International Conference on Applied Energy, Part 3, Thailand/Virtual, 2020)

   null (Ed.)

   One of the major barriers to closing the energy efficiency gap is the failure to successfully inform the population about measures to conserve energy. This paper introduces the design of a mobile application developed to improve energy conservation of residential buildings by informing occupants of transferrable energy efficient green features in a green-certified, non-residential building. The application was developed to investigate dissemination of transferable energy saving practices to explore spillover effects from non-residential to residential buildings. Our research aims to capitalize on such spillover effects to narrow the energy efficiency gap. 

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5. Real-Time Residential Demand Response

   https://doi.org/10.1109/TSG.2020.2978061  

   Li, Hepeng ; Wan, Zhiqiang ; He, Haibo ( September 2020 , IEEE Transactions on Smart Grid)

   null (Ed.)