Zoekresultaten

From XXS to XXL: Towards a typology of distribution centre facilities

Distribution centres are becoming more and more relevant for spatial planning, due to their rapidly increasing size and number. There is little literature, however, that provides a generalized analysis of the size and functional attributes of distribution centres, and none that discusses the relationships between these attributes. Our aim is to fill this gap by providing new evidence and analysis to understand this relationship. We make use of an extensive database of 2888 DCs in the Netherlands to develop a new typology of DCs based on the geographical location of DCs, their functional attributes and client sector characteristics. The analysis shows that the context in which medium sized DCs are operating is more heterogeneous than in the case of very large and small size DCs. This study is a first attempt to analyse this relationship between facility size and functions based on a rich and extensive dataset of large population of DCs. The results can serve as input for further quantitative statistical analysis and international comparison.

Sensing Streetscapes: 2-year research on the physical-behavioral interrelationship aimed at informing the design of human-scaled densification in Amsterdam

Amsterdam faces the challenge of accommodating 50,000 to 90,000 new homes in the next five to ten years. That is equivalent to 10% of the city’s current total housing stock. The new homes have to be built within the existing urban fabric. This will entail high densities and the construction of new ‘un-Dutch’ typologies with high-rise residential buildings. Densification is currently accelerating in many Western cities and high-rise living environments are gaining ground as today’s typology. Yet these new typologies come with potentially serious risks to the liveability of cities in general and those new environments in particular (Asgarzadeh et al. 2012; Lindal and Hartig 2013; Gifford 2007). Urban designers and (landscape) architects are challenged to prevent and soften the negative impact that is often associated with extremely densified environments. This entails mitigating contradictive demands: to create high-density capacity andshape streetscapes that relate to a human scale. Designers might resort to the large body of applied design solutions and theories, yet these tend to be derived from more traditional urban fabrics of low-density developments (for example: e.g. Sennett 2018; Haas 2008; Jacobs 1993; Banerjee and Southworth 1990; Alexander et.al. 1977; Jacobs 1961).Therefore, the question of the research project Sensing Streetscape is if the classical design solutions are without any alterations, applicable in these new high density settings and able to create streetscapes with a human scale. A combination of emerging technologies and principles from both worlds; neuroscience and architecture offer the opportunity to investigate this question in-depth as a relation between the designed and the visually perceived streetscape.

Climate-proof retrofitting of urban areas for the same cost

Due to climate change the frequency of extreme precipitation increases. To reduce the risk of damage by flooding, municipalities will need to retrofit urban areas in a climate-resilient way. To justify this investment, they need insight in possibilities and costs of climate-resilient urban street designs. This chapter focused on how to retrofit characteristic (Dutch) typologies of urban residential areas. For ten cases alternative street layouts were designed with a determination of the life cycle costs and benefits. All designs are resilient to extreme rain events. The results show that most flat urban typologies can easily be retrofitted in a climate-resilient way without additional costs compared to the standard way of retrofitting. Climate proofing sloping areas are highly dependent on the situation downstream. When there is no space downstream to divert the water into waterways or parks, costs to provide storage easily rise above traditional levels for retrofitting. In addition to reducing flood risk, for each case one variant includes resilience to extreme heat events making use of green. The life cycle costs and benefits of the green variants showed that especially green designs in high-density urban areas result in a better value for money.

Revealing sustainable mindsets among older adults concerning the built environment:

Efforts to create age-friendly cities progressively intersect with goals for environmental sustainability. The older people’s beliefs, behaviours and financial aspects regarding environmental sustainability in their lives are an understudied topic and not well understood. Therefore, a representative survey was conducted using the psychometrically sound and comprehensive SustainABLE-16 Questionnaire. A total of 388 respondents, who were community-dwelling older people in The Hague, filled out the survey completely. Overall, the mean scores on the SustainABLE-16 for finance- and environment-driven pro-environmental behaviours, beliefs and the financial position among older people were positive for all districts of The Hague. Using the outcomes of the survey, a total of six unique typologies were identified through a two-step process combining hierarchical and k-means cluster analyses. These six typologies are 1 the staunch non-believers, 2 the finance-driven non-believers, 3 the everyday individuals, 4 belief-driven people with limited financial resources, 5 believing non-responders, 6 the affluent and engaging people. These six typologies each require different approaches from policymakers. Sustainabilityrelated policies should ideally focus on groups with high scores for pro-environmental behaviours but who have shortcomings in knowledge how to improve one’s everyday lifestyle and groups who lack the necessary financial means to live a more sustainable life.

From data to attractors and tourism markets : tourist and destination typologies Framework for WP1.3 SASTDes – Smart Assessment Sustainable Tourist Destinations.

Establishing Typologies for Diverging Career Paths through the Life Course: A Comparison of two Methods

Discussions on policy and management initiatives to facilitate individuals throughout working careers take place without sufficient insight into how career paths are changing, how these changes are related to a modernization of life course biographies, and whether this leads to increased labour market transitions. This paper asks how new, flexible labour market patterns can best be analyzed using an empirical, quantitative approach. The data used are from the career module of the Panel Study of Belgian Households (PSBH). This module, completed by almost 4500 respondents consists of retrospective questions tracing lengthy and even entire working life histories. To establish any changes in career patterns over such extended periods of time, we compare two evolving methodologies: Optimal Matching Analysis (OMA) and Latent Class Regression Analysis (LCA). The analyses demonstrate that both methods show promising potential in discerning working life typologies and analyzing sequence trajectories. However, particularities of the methods demonstrate that not all research questions are suitable for each method. The OMA methodology is appropriate when the analysis concentrates on the labour market statuses and is well equipped to make clear and interpretable differentiations if there is relative stability in career paths during the period of observation but not if careers become less stable. Latent Class has the strength of adopting covariates in the clustering allowing for more historically connected types than the other methodology. The clustering is denser and the technique allows for more detailed model fitting controls than OMA. However, when incorporating covariates in a typology, the possibilities of using the typology in later, causal, analyses is somewhat reduced.