Evaluating the connectivity level of Fayoum city roads network: a new method using GIS

Ahmed Younes Saleh,

Saeed Ahmed Abdu,

Hanaa Nazer Ali

Abstrakt

Road networks within cities are a vital component of the socio-economic development processes. Many countries have sought to examine and evaluate the efficiency of road networks within urban areas because of the increasing demand for transportation. Thus, networks should be evaluated to guide the development of transport systems and infrastructure within cities.
This study evaluates the connectivity level of the road network parts in Fayoum city, Egypt, through the application of some indicators of connectivity measurement, such as Beta, Alpha, Gamma, Connectivity degree, and the density of edges and nodes. The study follows a new method for evaluation; it does not apply the indicators on the network as a whole; however,
it divides the city into zones and calculates the indicators of each zone using the Arc GIS 10.2.1 program.
The authors applied the map Algebra method to map the results of the six indicators in one index called the Total Connectivity Index (TCI). The TCI gives more consistent results than other indices, and it is more related to different spatial patterns of roads. According to this indicator, most of the city road network seem to have a good connectivity level, whereas the city marginal areas prove to have a poor connectivity level. Therefore, any efforts to develop or construct new roads should be in the marginal areas of the city.

Słowa kluczowe: connectivity, GIS, Map Algebra, Network Analysis, Urban road Network
References

Alexanderson G. L., 2006, About the cover: Euler and Konigsberg’s briges: A historical view. American Mathematical Society, 43(4), 567–573.

Amini B., et al., 2015, Comparative traffic performance analysis of urban transportation network structures.

ArXiv Preprint ArXiv, 2(2594), 1–27. https://doi.org/10.3141/2594-19

Bange D. W., Hoefer J. N., 1976, A measure of connectivity for geographic regions. The Professional Geographer, 28(4), 362–370.

Berrigan D., Pickle L. W., Dill J., 2010, Associations between street connectivity and active transportation. International Journal of Health Geographics, 1-20.

Campbell J., 1972, Growth pole theory, digraph analysis and interindustry relationships, Journal of Economic and Social Geohraphy, 63(2), 79–87.

Cates B., 1978, Short-run structural change in an airline network of declining connectivity, The Professional Geographer, 30(1), 9–13.

Dill J., 2004, Measuring network connectivity for bicycling and walking, in 83rd annual meeting of the Transportation Research Board, Washington, DC , 11-15.

Ellis G., et al., 2015, Connectivity and physical activity: using footpath networks to measure the walkability of built environments, Environment and Planning B: Planning and Design, volume 42, 1-22.

ESRI Top 10 Benefits of Migrating to ArcGIS 9, https://www.esri.com/news/arcnews/summer05articles/top-ten-benefits.html, [15.8.2018].

Garrison W. L., 1960, Connectivity of the interstate highway system, paper and proceedings of the Regional Science Association 6, 121-37.

Hadas Y., 2013, Assessing public transport systems connectivity based on Google, Journal of Transport Geography, (33), 105–116.

Haggett P., Chorely R., 1969, Network analysis in geography, Edward Arnold, London.

Hanson S., 1986, The geography of Urban Transportation, Guilford Press, New York.

Huang S.-W., Hsieh H.-I., 2014, The study of the relationship between accessibility and mixed land use in Taiwan, International Journal of Environmental Science and Development, Vol. 5, No. 4, 352-356.

Kumar R., Parida D., Madhu D., Kumar A. V. A., 2017, Does connectivity index of transport network have impact on delay for driver? Transportation Research Procedia (25), 4988–5002.

Marshall W. E., Garrick N. W., 2010, Street network types and road safety; a study of 24 California cities. Urban Design International, 15(3), 133-147.

Nagne A. D., Vibhute A. D., Gawali B. W., Mehrotra S. C., 2013, Spatial analysis of transportation network for town planning of Aurangabad city by using Geographic Information System, International Journal of Scientific & Engineering Research, 4(7), 2588–2594.

Ozbil A., Peponis J., Stone B., 2011, Understanding the link between street connectivity, land use and pedestrian flows, Urban Design International, Vol. 16, 2, 125–141.

Patil P. T., 2014, An assessment of accessibility and connectivity of some important places in Kolhapur city of Maharashtra: A Road network analysis, Mathematical Theory and Modeling, Vol.4, No. 12, 148-160.

Rodrigue J. P., Comtois C., Slack B., 2006, The geography of transport systems (First)., Routledge, New York.

Scott N., Baggio R., Cooper C., 2008, Network analysis and tourism from theory to practice, channel view publications, Clevedon.

Sreelekha M. G., Krishnamurthy K., Anjaneyulu M., 2016, Interaction between road network connectivity and spatial pattern, Procedia Technology (24), 131–139.

Taaffe E. J., Gauthier H. L. and O’Kelly M. E., 1996, Geography of Transportation (second), Prentice Hall, New Jersey.

Tresidder M., 2005, Using GIS to measure connectivity: an exploration of issues, school of urban studies and planning, Portland State University, field area paper, http://web.pdx.edu/~jdill/Tresidder_Using_GIS_to_Measure_Connectivity.pdf, [3.5.2018]

Victoria Transport Policy Institute, 2017, roadway connectivity; creating more connected roadway and pathway networks, in online TDM encyclopedia. http://www.vtpi.org/tdm/tdm116.htm. [10.8.2018]