Exploring Quantitative Evaluation Criteria for Service and Potentials of New Service in Transportation: Analyzing Transport Networks of Railway, Subway, and Waterbus

This paper explores quantitative evaluation criteria for service and potentials of new service from the transportation viewpoint. For this purpose, we analyze transport networks of railway, subway, and waterbus, and have revealed the following implications: (1) efficiency criterion proposed by Latora [7,8] and centrality criterion in the complex network literature can be applied as quantitative evaluation criteria for service in a transportation domain; and (2) new services are highly embedded among networks, i.e., the analyses of the combined networks have the great potential for finding new services that cannot be found by analyzing a single network.

[1]  J. Hołyst,et al.  Statistical analysis of 22 public transport networks in Poland. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Massimo Marchiori,et al.  Is the Boston subway a small-world network? , 2002 .

[3]  James C. Spohrer,et al.  A research manifesto for services science , 2006, CACM.

[4]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[5]  S. Hewlett,et al.  Off-Ramps and On-Ramps , 2005 .

[6]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[7]  Gesine Reinert,et al.  Small worlds , 2001, Random Struct. Algorithms.

[8]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[9]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[10]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[11]  Carson C. Chow,et al.  Small Worlds , 2000 .

[12]  Vladimir Batagelj,et al.  Centrality in Social Networks , 1993 .

[13]  Stephen P. Borgatti,et al.  Centrality and network flow , 2005, Soc. Networks.