Problem Conceptualization as a Foundation of Data Analytics in Local Governments: Lessons from the City of Syracuse, New York

The use data and data analytics (DA) has been attracting the attention of academics and practitioners in the public sector and is sometimes seen as a potential strategy for process and service innovation. While research on the many possible uses of data have clearly increased - open data, big data, data analytics- empirical research on the socio-technical process that local governments followed when using data analytics to improve services and policies is still scarce. Based on existing literature about data analytics in the public sector and the data lifecycle concept, this paper examines how data analytics is actually used in a local government and what are the main steps in this process. It analyzes the experience of a mid-size American city that had a dedicated task force to data analytics use to support decision making at the local level – Syracuse, New York. Findings suggest that data analytics as a process not only involves data analysis and representations (such as visualizations), but also data collection and cleaning. Further, it seems clear that the conceptualization of the problem is a critical step in producing meaningful data analytics, but also in thinking about innovations even when data is not readily available

Memos and Mega Projects: Applying Planners’ Perceptions of Their Software to a Framework for the Future of Planning

Software powers the modern urban planning department. However, the majority of academic attention on software in the planning profession has focused on highly specialized land use models, ignoring the importance of common applications that most planners rely upon throughout their workdays. For example, email’s impact on planning has gone largely undiscussed in the literature despite its role as one of the most commonly used software by planners. This report has a twofold purpose: 1) create a protocol for interviewing planners about the software they use routinely; 2) synthesize needs and expectations of planners gathered during interviews with relevant literature on planning technologies into a framework for the future of planning software. The framework presented in this report unifies, for the first time, disparate fields of research on software related to urban planning into a single set of guidelines for developing the future of software for public agencies. This framework provides a research agenda for urban planning software systems that mutually strengthen one another, and a valuable conceptual overview of the diverse information systems involved in the planning profession. Eleven interviews were conducted with mid- and senior-level planners in local governments across Santa Clara County, better known around the world as Silicon Valley. Santa Clara County was selected as the study area for two reasons: well-resourced governments in the area can invest in modern planning software, and to question if the stereotype of the area’s technological leadership extends to its local governments. Senior-level planners were interviewed in a semi-structured format with the interview adjusted based on a short survey about the software most used in the individual’s professional role. Key findings from the interviews informing the framework include: Planners in local governments in Silicon Valley are transitioning into modern software tools, like electronic plan review and permit management systems. There is no special technological advantage in Silicon Valley among public agencies. Planners were eager to fully implement and adopt software features available to them, particularly features that would improve communication about project status with applicants; Planners were unafraid of software automation. Limited automation features available in electronic plan review systems were yet to be fully implemented, and planners embraced the time-saving potential; The volume of email burdened interviewees. This draws attention to the significance of generalized productivity software in the practice of planning; Planners had no immediate need for “big data,” despite the recognized importance of big data in the urban planning technology literature. Perceptions from planners about the software that they use informed key problems and set goals for the framework developed here. Extensive research into emerging software targeting the construction and engineering trades with relevance to planners, as well as software designed to assist creative knowledge workers, informed the development of the future framework for planning software. Features of the framework include: A planning data model that underpins land use codes, development guidelines, and planning department procedures, providing machine-readable logic that underpins rulebased systems in email, project tracking, permit management, electronic plan review, and staff reports; Template-based and data type-aware word processing that encodes standardized practices for writing documents and requires numeric data be stored and represented as such. Electronic plan review systems that assist in checking both objective zoning codes and subjective design guidelines using generalized adaptable rule language; Integrated BIM-GIS supporting both the plan review and permit management process by organizing and visualizing spatial and physical data about the built environment; and Predictable, structured times to respond to email from applicants and the public and process-integrated calendars that recover time for focusing on long-term planning efforts; The generalized productivity software that planners have been using for over thirty years is inadequate for the predicted era of big data generated by networked urban environments. Excel is not designed to support real-time analytics, Word is not designed to assist in describing or associating analytics with textual information, and no application has yet been designed to visualize or organize such data for engaging the public. This framework gives planners and researchers of planning technology insight into the range of software used by planners and develop an innovative class of software fit for stewarding the cities of the coming century

Open reWall: Survey-to-production workflow for building renovation

A reabilitação de espaços interiores, num contexto de personalização em série, requer uma mudança na forma como os sistemas construtivos são desenhados, construídos e reutilizados. Recorrendo a plataformas digitais para a participação os arquitetos, em colaboração com outros atores na indústria AEC, podem desenvolver e oferecer soluções personalizadas e desmontáveis a utilizadores genéricos. Esta investigação propõe o uso de sistemas de construção personalizada em série (CPS) para fornecer sistemas de divisórias desmontáveis fabricadas digitalmente usando metodologias do levantamento à produção ligadas a configuradores online, em que os utilizadores co-projetam soluções para a reabilitação de espaços interiores. A metodologia de investigação socorre-se de pesquisa e análise teórica para definir critérios e objetivos a serem explorados em resolução de problemas de projeto. A partir destas experiências são sintetizados princípios e uma metodologia para a conceção de sistemas CPS de sistemas de divisórias personalizáveis e desmontáveis para a reabilitação. A metodologia clarifica os papeis dos atores, passos, e arquitetura do sistema para implementar um sistema CPS do levantamento à produção. A investigação demonstra que a metodologia de levantamento proposta é utilizável por utilizadores especialistas e não-especialistas, com os últimos a apresentarem em média melhores resultados, e que estes levantamentos têm precisão suficiente para processos do desenho à produção. Também se demonstra que a metodologia do levantamento à produção, a gramática genérica, e os critérios são úteis para os arquitetos conceberem sistemas de divisórias desmontáveis e personalizáveis para sistemas CPS abertos.Building renovation of interior spaces, in the context of mass customization, requires a shift in how construction systems are designed, built, and reused. Leveraging digital frameworks for user participation, architects in collaboration with other stakeholders in the AEC industry may design anddeliver customized and disassemble-able solutions to generic end-users. The research proposes mass customization construction (MCC) systems can deliver cost-effective digitally fabricated and disassemble-able construction systems using survey-to-production workflows deployed in web configurators for end-users to co-design solutions in building renovation. The research methodology uses theoretical inquiry and analysis to define criteria and objectives to be explored in design problem solving. From these experiments generalizable principles and a lowkey workflow for the design of MCC systems of customizable and disassemble-able partition wall construction systems for open building renovation are synthetized. The workflow clarifies stakeholder roles, steps, and system architecture to implement an MCC system from survey to production. This investigation demonstrates the proposed survey workflow is usable by non-expert and expert instance-designers, with the former having on-average better results, and that these can survey spaces with sufficient precision for design-to-production workflows. It is also shown the survey-to-production workflow, the generic grammar, and criteria are useful for architects to design customizable and disassemble-able partition wall systems for open MCC systems