Show Less

Spatial Dynamics, Networks and Modelling

Edited by Aura Reggiani and Peter Nijkamp

This important new book provides a valuable set of studies on spatial dynamics, emerging networks and modelling efforts. It employs interdisciplinary concepts alongside innovative trajectories to highlight recent advances in analysing and modelling the spatial economy, transport networks, industrial dynamics and regional systems. It is argued that modelling network processes at different spatial scales provides critical information for the design of plans and policies. Furthermore, a key issue in the current complex and heterogeneous landscape is the adoption and validation of new approaches, models and methodologies, which are able to grasp the emergent aspects of economic uncertainty and discontinuity, as well as overcome the current difficulties of carrying out appropriate forecasts. In exploring diverse pathways for theoretical, methodological and empirical analysis, this exciting volume offers promising and evolutionary perspectives on the modern spatial network society.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 2: Network and Nodal Indices. Measures of Complexity and Redundancy: A Review

Nigel Waters


Nigel Waters PROLOGUE In preparing this chapter, I was constantly amazed about how little some network researchers knew about what was going on in other disciplines where network analysis was thriving, and even in their own discipline where the topic had thrived at different times achieving various levels of popularity. Perhaps most disconcerting of all was that I realized that these observations also applied to my own knowledge of the field. Writing this chapter has helped me address some of my own deficiencies. Hopefully, it will be of use to others too. 2.1 INTRODUCTION In 1973 I completed an MA thesis: ‘The Growth of the Southern Ontario Railway System – A Network Analysis’ (Waters 1973). This thesis drew heavily on a substantial body of literature within geography and spatial science that was devoted to network analysis. One impetus for this research had been the work of Karel Kansky (1963) whose own doctoral dissertation had been concerned with measures of nodal importance and network complexity within a transportation network. These were believed to be associated with urban growth. If this were the case, then socio-economic variables might be used to simulate the growth of such transportation networks as the road and rail system of a country. Kansky’s work spawned a decade of increasingly sophisticated research into transportation and related networks. Some of this was summarized in Haggett and Chorley’s (1969) book Network Analysis in Geography, which 13 14 Analytical Advances in Modelling the Space-Economy attempted to forge a link between physical and...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.