Learning in urban renewal - PhD project Janneke van Bemmel OTB Delft
INTRODUCTION
Today’s network society (Castells, 1996) is characterised by high levels of complexity and insecurity
due to, amongst others, globalisation and an increased speed of (technological) developments. This is
not a new perspective, many authors have argued that society is changing faster and becomes more
complex and turbulent (Drucker, 1969; Galbraith, 1977, Emery and Trist, 1965; Michael, 1973). This
has implications for planning processes and practice; it has become difficult to predict what the future
holds and it is unclear which actions will lead to which results. Therefore, an important challenge for
planning practice is to understand and manage uncertainty. This uncertainty results from the social
environment or planning context, as well as from the planning process itself (Abbot, 2005). The
simplistic views of linear causality, the ability to predict, control and manipulate are a thing of the
past, present-day characteristics of planning practice are uncertainty, networks, connection,
interdependence, and survival and development through adaptation and change (Morrison, 2005).
These new key words all apply to contemporary large-scale, long-term urban renewal
processes, which are complex and uncertain and take place in networks of interdependent partners.
Urban renewal projects are complex because many actors are involved, the goals and strategies of
these actors can change over time, and contextual factors (such as the housing market, residents´
wishes, the political direction) change constantly. This creates a lot of uncertainty in urban renewal;
uncertainty about knowledge and values (substantive uncertainty), uncertainty about the intentions
and strategies of the parties involved (strategic uncertainty), and uncertainty about when, where and
by whom decisions are made (institutional uncertainty). (Koppenjan and Klijn, 2004)
The high level of uncertainty of urban renewal processes means that there are new demands
for the way the planning processes are organized, and the application of knowledge, plans and
designs in decision-making. Several authors emphasize that learning is of vital importance for
successful planning processes that are complex and uncertain (e.g. Faludi, 2000; Korthals Altes, 2002;
Klijn, 2003; Van der Schaar, 2005). Learning in urban renewal networks helps to respond to changes
regarding the content of urban renewal plans, the strategies of the parties involved, and the
institutions in which the decision-making process takes place. Learning can be defined as the creation
of knowledge that is applicable in the activities of the parties involved (Argyris and Schon, 1996).
Another reason for increasing learning in urban renewal stems from the idea that the
management strategy for knowledge work is not top down control but knowledge management and
the facilitation of learning (Weggeman, 2000). People working in the early stages of the urban
renewal process are professionals that carry out knowledge work. Drawing up plans, making designs,
decision making; these are knowledge intensive task. When the creation, sharing and application of
knowledge during these tasks is increased, it can be assumed that the quality of the work is higher.
Studying urban renewal processes from a learning perspective is a relatively new approach. A
limited amount of studies has been done that have a strong relation with the topic. Examples are
Goldfarb’s study on evaluation of urban renewal programs that takes ‘learning by doing’ into account
(Goldfarb, 1975), Healy’s study on the kinds of knowledge used in planning practice (Healey, 1992)
and Van Herzele’s study on the use of local knowledge in planning processes (Van Herzele, 2004).