Spatial Complex Network Analysis and Accessibility Indicators: the Case of Municipal Commuting in Sardinia, Italy

Authors

  • Andrea De Montis Università degli Studi di Sassari and Linkalab
  • Simone Caschili Università degli Studi di Cagliari
  • Alessandro Chessa Università degli Studi di Cagliari and Linkalab

DOI:

https://doi.org/10.18757/ejtir.2011.11.4.2943

Abstract

In this paper a contribution is presented with respect to accessibility indicators modelling for commuters moving through the municipalities of Sardinia, in Italy. In this case, spatial complex network analysis is integrated into the construction of accessibility measures: one of the most relevant outcomes of the first tool –the detection of shortest road paths and distances- is adopted as an input for the second in modelling accessibility indicators. Instead of Euclidean distances often adopted in the literature, shortest road distances are chosen, as commuting implies movements that are usually repeated daily and very likely subjected, even unconsciously, to space and time minimization strategies. In particular, two commuter accessibility indicators are constructed according to approaches based on a travel cost and a spatial interaction model with impedance function calibrated in exponential and in power form. The accessibility indicators are confronted each other and with relevant socio-economic and infrastructure characteristics of Sardinia. In addition, they are described, with respect to their spatial distribution and their different implications, when adopted in decision-making and planning. The travel cost based accessibility indicator has a municipal spatial distribution strongly influenced by the main road infrastructure of the Island. By contrast, spatial interaction model based accessibility indicators are more reliable, with respect to their capacity to confirm a leading socio-economic role of the municipalities comprehended in the metropolitan area of the capital town Cagliari.

Downloads

Metrics

PDF views
222
Jan 2012Jul 2012Jan 2013Jul 2013Jan 2014Jul 2014Jan 2015Jul 2015Jan 2016Jul 2016Jan 2017Jul 2017Jan 2018Jul 2018Jan 2019Jul 2019Jan 2020Jul 2020Jan 2021Jul 2021Jan 2022Jul 2022Jan 2023Jul 2023Jan 2024Jul 2024Jan 2025Jul 2025Jan 202615
|

Downloads

Published

2011-09-01

How to Cite

De Montis, A., Caschili, S., & Chessa, A. (2011). Spatial Complex Network Analysis and Accessibility Indicators: the Case of Municipal Commuting in Sardinia, Italy. European Journal of Transport and Infrastructure Research, 11(4). https://doi.org/10.18757/ejtir.2011.11.4.2943

Issue

Section

Research articles
Crossref
0
Scopus
17
Derdouri A. (2025)
A complex network analysis of urban human mobility in Tokyo. Travel Behaviour and Society, 40,
10.1016/j.tbs.2025.101020
Geethika L. (2025)
Multi-level Accessibility Analysis of Hyderabad City Using GIS-based Network Evaluation. Jordan Journal of Civil Engineering, 19(1), 104-114.
10.14525/JJCE.v19i1.08
Tsiotas D. (2023)
Dimension Reduction in the Topology of Multilayer Spatial Networks: The Case of the Interregional Commuting in Greece. Networks and Spatial Economics, 23(1), 97-133.
10.1007/s11067-022-09578-5
Rao Y. (2022)
Assessing the Equity of Accessibility to Urban Green Space: A Study of 254 Cities in China. International Journal of Environmental Research and Public Health, 19(8),
10.3390/ijerph19084855
Wei S. (2021)
Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect. Transport Policy, 104, 1-17.
10.1016/j.tranpol.2021.02.002
Tsiotas D. (2020)
Geographical and socioeconomic determinants in the topology of spatial networks: Evidence from the interregional road network in greece. Theoretical and Empirical Researches in Urban Management, 15(3), 5-28.
Allen J. (2020)
A Measure of Competitive Access to Destinations for Comparing Across Multiple Study Regions. Geographical Analysis, 52(1), 69-86.
10.1111/gean.12188
Calaresu M. (2018)
Institutionalization of the governance system and the quality of public policies a case study on public transit and local transportation. Rivista Italiana Di Politiche Pubbliche, 13(1), 91-126.
10.1483/89477
Merlin L.A. (2017)
Does competition matter in measures of job accessibility? Explaining employment in Los Angeles. Journal of Transport Geography, 64, 77-88.
10.1016/j.jtrangeo.2017.08.009
Beria P. (2017)
Measuring the long-distance accessibility of Italian cities. Journal of Transport Geography, 62, 66-79.
10.1016/j.jtrangeo.2017.05.006
Östh J. (2016)
A new way of determining distance decay parameters in spatial interaction models with application to job accessibility analysis in Sweden. European Journal of Transport and Infrastructure Research, 16(2), 344-363.
10.18757/ejtir.2016.16.2.3142
Tóth G. (2015)
Accessibility models based on the gravity analogy: In theory and practice. Regional Statistics, 5(1), 137-158.
10.15196/RS05108
Caschili S. (2015)
Accessibility and rurality indicators for regional development. Computers Environment and Urban Systems, 49, 98-114.
10.1016/j.compenvurbsys.2014.05.005
Caschili S. (2013)
Accessibility and Complex Network Analysis of the U.S. commuting system. Cities, 30(1), 4-17.
10.1016/j.cities.2012.04.007
Yang M. (2013)
Modelling the accessibility classification of railway lines: A case study of northeast china railway network. Promet Traffic and Transportation, 25(5), 467-474.
10.7307/ptt.v25i5.1214
Van Wee B. (2012)
Ict and accessibility: Research synthesis and future perspectives. Accessibility Analysis and Transport Planning Challenges for Europe and North America, 37-53.
10.4337/9781781000113.00009