Contesting the financialization of urban space: Community organizations and the struggle to preserve affordable rental housing in New York City

As cities have become both site and object of capital accumulation in a neoliberal political economy, the challenges to community practice aimed at creating, preserving, and improving affordable housing and neighborhoods have grown. Financial markets and actors are increasingly central to the workings of capitalism, transforming the meaning and significance of mortgage capital in local communities and redrawing the relationship between housing and urban inequality. This article addresses the integration of housing and financial markets through the case of "predatory equity," a wave of aggressive private equity investment in New York City's affordable rental sector during the mid-2000s real estate boom. I consider the potential for community organizations to develop innovative, effective, and progressive practices to contest the impact of predatory equity on affordable housing. Highlighting how organizations employed discursive and empirical tactics as well as tactics that reworked the sites, spaces, and structures of finance, this research speaks to the political possibility of contemporary community practice

Visitor Flows during Dutch Design Week 2017

Data were collected during four different days of the Dutch Design Week event in October 2017. Respondents were approached next to the ticket office, which was located near the central train station. In order to collect data on event visitors’ characteristics and their spatial behavior, a mixed approach of using GPS devices and questionnaires was applied. GPS data were converted into an origin-destination matrix with found nodes (AOIs) for conducting network analysis. Visitor characteristics were later matched with the found nodes for further analysis. This dataset consists of two files: (i) origin-destination matrix of visitors (ii) visitor characteristics. two files can be combined with visitor IDs

Capacity-building : strategies for providing assistance : improved decision-making and problem-solving in local government /

June 1977.Prepared for Office of Policy Development and Research, HUD.Includes annotated list of capacity-building publications.Mode of access: Internet

Capacity-building : strategies for management change : improved decision-making and problem-solving in local government /

June 1977.Prepared for Office of Policy Development and Research, HUD.Includes annotated list of capacity-building publications.Mode of access: Internet

Capacity-building : index to methods and documents : improved decision-making and problem-solving in local government /

June 1977.Prepared for Office of Policy Development and Research, HUD.Includes bibliographical references.Mode of access: Internet

Spatial data collection with a drone to support 3D analyses

This project is funded by TU/e Boost! and aims to develop structured tutorials on the knowledge and use of drones for data collection to support bachelor students in the built environment domain for carrying out 3D measurements. More info: https://boost.tue.nl/projects/spatial-data-collection-with-a-drone-to-support-3d-analyses

The impact of health vs. non-health goals on individuals’ lifestyle program choices: a discrete choice experiment approach

Abstract Background Goals play an important role in the choices that individuals make. Yet, there is no clear approach of how to incorporate goals in discrete choice experiments. In this paper, we present such an approach and illustrate it in the context of lifestyle programs. Furthermore, we investigate how non-health vs. health goals affect individuals’ choices via non-goal attributes. Methods We used an unlabeled discrete choice experiment about lifestyle programs based on two experimental conditions in which either a non-health goal (i.e., looking better) or a health goal (i.e., increasing life expectancy) was presented to respondents as a fixed attribute level for the goal attribute. Respondents were randomly distributed over the experimental conditions. Eventually, we used data from 407 Dutch adults who reported to be overweight (n = 212 for the non-health goal, and n = 195 for the health goal). Results Random parameter logit model estimates show that the type of goal significantly (