Accessibility and Spatial Interaction

Accessibility and Spatial Interaction

NECTAR Series on Transportation and Communications Networks Research

Edited by Ana Condeço-Melhorado, Aura Reggiani and Javier Gutiérrez

The concept of accessibility is linked to the level of opportunities available for spatial interaction (flows of people, goods or information) between a set of locations, through a physical and/or digital transport infrastructure network. Accessibility has proved to be a crucial tool for understanding the framework of sustainability policy in light of best practice planning and decision-making processes. Methods such as cost–benefit analysis, multi-criteria analysis and risk analysis can benefit greatly from embedding accessibility results. This book presents a cohesive collection of recent studies, modeling and discussing spatial interaction by means of accessibility indicators

Chapter 5: Sensing ‘socio-spatio’ interaction and accessibility from location-sharing services data

Laurie A Schintler, Rajendra Kulkarni, Kingsley Haynes and Roger Stough

Subjects: economics and finance, public sector economics, transport, geography, cities, urban and regional studies, transport


Recently there have been significant efforts to mine location-sharing services data and other similar types of geo-social digital data to understand and analyse the complexity of human mobility patterns. Of these studies, very few studies have examined how mobility patterns vary across different regions of the United States. This chapter intends to fill this gap in the literature. Specifically, we use bipartite network modelling to derive a set of metrics for characterizing regional variations in the mobility patterns of individuals. Through this study, we also attempt to gain insight on the types of trips that location-sharing services data may represent. Lastly, we use a community detection to derive information on what we refer to as ‘mobility sheds’. For the purpose of this study, we use a sample of Brightkite location-sharing services data, collected by the Stanford Large Network Dataset collection, SNAP.

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