Self-organization in urban development: towards a new perspective on spatial planning

To date, participatory spatial planning has produced disappointing results. We argue that one reason is that time and again participatory planning proposals remain controlled by public government, and that public government seems not to be very adaptive to initiatives that emerge from the dynamics of civil society itself. To find out why and how citizens could and would be motivated to contribute out of their own motivation to urban development, we propose turning the focus outside-in, instead of inside-out. In this article, we therefore introduce the notion of self-organization, referring to initiatives that originate in civil society itself, via autonomous community-based networks of citizens outside government control which participate in developing the ‘urban fabric’ too. We discuss some examples of self-organization and draw preliminary conclusions of the concept’s usefulness for the theory and practice of spatial planning

Tolerance of Muslim beliefs and practices: Age related differences and context effects

Tolerant judgments of Muslims’ political rights and dissenting beliefs and practices by ethnic Dutch adolescents (12–18 years) were examined. Participants (N = 632) made judgments of different types of behaviors and different contexts in an experimental questionnaire study. As in other studies, tolerance was found to not be a global construct. Adolescents took into account various aspects of what they were asked to tolerate and the sense in which they should be tolerant. The type of actor, the nature of the social implication of the behavior, the underlying belief type, and the dimension of tolerance, all made a difference to the tolerant judgments. Additionally, the findings strongly suggest that tolerance judgments do not develop through an age-related stage-like sequence where an intolerant attitude is followed by tolerance. For females, there were no age differences, and older males were less tolerant than younger males. There were also gender differences with males being less tolerant for some types of behavior and females being less tolerant for behaviors that negatively affected Muslim females. Level of education had a positive effect on tolerance. The findings are discussed with reference to social-cognitive domain theory.

Plan in progress: a critique of the selective coproduction of the Spatial Policy Plan for Flanders (Belgium)

In recent years, so-called coproductive, radical strategic planning has become a synonym for integrative and holistic public sector-led planning processes and the alleged integrating qualities of representative democracies. However, these views remain framed by the specific discourses, perspectives and path dependencies of governments, obstructing opportunities for radical reorientations as intended above. In this paper, we want to illustrate how these restrained views affect concrete planning practices through the specific case of the region of Flanders (Belgium). For decades, the holistic model of the Dutch neighbours has largely inspired planning dynamics in Flanders (Belgium). As such, in 1997, most concerned Flemish authorities accepted the first overarching spatial policy plan for the region. Fifteen years later, however, original commitments have eroded and the original plan has largely lost its credibility. In 2011 a new process was launched, aiming to develop a new policy plan (the future Spatial Policy Plan for Flanders). However, this new process builds only limited support and credibility outside the select group of involved actors. We argue that today in Flanders the borrowed methodology of coproductive planning is insufficiently adapted to the institutional context and is therefore mainly delivering an aura of sustainability optimism to on-going policies, while a variety of spatial developments that are recognized as fundamental or problematic are omitted from the debate. We show this by putting forward some major missing pieces, which are located in the policy fields of large road infrastructure development, “legacy” suburbanization, retail siting, and property taxation. We show that these issues are representative of a number of constraints that are imposed by separate policy levels (located at other ministries, at the federal level, or in neighbouring regions such as Brussels) although these are not accounted for by the current planning process, apart from a number of key issues that are kept deliberately outside the process after labelling these “already decided”. Finally, we sketch some opportunities for improvement, consisting of developing a more contextualized process model, putting the stress on more concrete planning issues, involving independent stakeholders in strategic alliances, and taking a co-evolutionary approach from the start

Actor-relational planning in deprived areas : challenges and opportunities in luchtbal Antwerpen, Belgium

In this article we report and discuss our experience with actor relational approaches in the regeneration of a post war housing estate in Luchtbal, Antwerp, Belgium. Actor relational approaches are informed by post-structuralist ideas of space, complexity theory and actor network theory. Although ARA itself is not new, the application of ARA to deprived area’s such as Luchtbal is novel. We report how the approach has been elaborated, its process and outcome. We conclude with our evaluation from an insider’s perspective

SSHCure: a flow-based SSH intrusion detection system

SSH attacks are a main area of concern for network managers, due to the danger associated with a successful compromise. Detecting these attacks, and possibly compromised victims, is therefore a crucial activity. Most existing network intrusion detection systems designed for this purpose rely on the inspection of individual packets and, hence, do not scale to today's high-speed networks. To overcome this issue, this paper proposes SSHCure, a flow-based intrusion detection system for SSH attacks. It employs an efficient algorithm for the real-time detection of ongoing attacks and allows identification of compromised attack targets. A prototype implementation of the algorithm, including a graphical user interface, is implemented as a plugin for the popular NfSen monitoring tool. Finally, the detection performance of the system is validated with empirical traffic data

On the right track? : evaluation as a tool to guide spatial transitions

Spatial developments are becoming more and more non-linear, dynamic and complex with a wide range of possible actors. The awareness of uncertainty in spatial planning is growing and therefore, projects need to integrate a high level of flexibility. But at the same time, a growing demand for taking more informed and well-argued decisions is noticeable. Predictions out of the ‘best estimated model’ are no longer credible and no longer accepted, because they are too fragile and uncertain. How can we keep these long-lasting, multi-actor projects in permanent transition on the right track? This article presents an evaluation methodology that goes beyond the traditional, rational evaluation attitudes with a low level of flexibility being too linear to match the current spatial developments. There is a need for more interrelated, alert and flexible means of evaluation, co-evolving with the processes and current dynamics in spatial planning. Therefore, different evaluation approaches are introduced, depending on the specific interdependencies of the object of evaluation and its context. Subsequently, the theoretical framework is translated towards a more practical level. A case study conducted in Flanders illustrates the current spatial developments and a possible evaluation approach, incorporated from the beginning of the process, to guide this kind of projects

Eigenvalue correction results in face recognition

Eigenvalues of sample covariance matrices are often used in biometrics. It has been known for several decades that even though the sample covariance matrix is an unbiased estimate of the real covariance matrix [Fukunaga,1990], the eigenvalues of the sample covariance matrix are biased estimates of the real eigenvalues [Silverstein,1986]. This bias is particularly dominant when the number of samples used for estimation is in the same order as the number of dimensions, as is often the case in biometrics. We investigate the effects of this bias on error rates in verification experiments and show that eigenvalue correction can improve recognition performance