(Created page with "==Abstract== Functional hierarchy of road network classifies individual roads into several levels by taking account of the priority for mobility, access or residential functi...")
 
 
(No difference)

Latest revision as of 12:10, 5 April 2017

Abstract

Functional hierarchy of road network classifies individual roads into several levels by taking account of the priority for mobility, access or residential functions, in order to manage traffic efficiently by segregating through traffic from accessing, parking and non-motorized traffics. This concept has been widely recognized and applied to road planning, design and operation in several countries such as Germany, the US and Australia. Their guidelines state the target performances (i.e., LOS or travel speed in general) of each hierarchical levels being used for the performance evaluation. However in Japan, target performances of roads are not shown in the current guideline, since a concept of the performance-oriented planning and design is still uncommon in practice. As a result, the operational performances are still not satisfactory enough especially on highways. In such a situation, this study attempts to find out the hierarchical road classification applicable to Japan, considering the distribution of region/district centers as well as the impact of terrain. The main questions are how many hierarchical levels need to be defined and how much travel speed and road spacing (or access distance) should be set as the targets for each level, so that the network performance, namely travel time between region/district centers, can achieve the given target values. The basic idea comes from the German guideline RIN, which states the target travel times by region/district center (central place), classifies roads and define their target travel speeds based on their connecting centers. However, it does not clearly mention how the difference in distribution of region/district centers and the impact of terrain can be reflected to set the efficient hierarchical classification. For example, the characteristic of metropolitan areas is quite different from that of mountainous areas in terms of trip lengths between region/district centers of which travel times are to be evaluated as network performance. In addition, because of the impact of terrain, construction cost per unit is generally quite higher in mountainous areas than in flat areas, whereas travel demand is usually lower in mountainous areas. This study incorporates these issues into road classification and demonstrates its impact for more efficient network system planning. The methodology consists of four steps: (1) defining the region/district centers to be connected and setting their target travel time, (2) developing alternative road classification scenarios, (3) mathematically formulating origin-destination travel time in a grid road network under the certain classification and (4) evaluating the classification scenarios considering the difference of average trip lengths of each combination of centers as well as the difference of system cost due to the impact of terrain and travel demand. Although the original intention of this study is to apply the result to Japan, the methodology itself is generally applicable to any region. At the end, case studies are conducted for several simplified areas for reflecting their typical characteristics of region/district centers distribution and terrain in Japan. Through them, the hierarchical road classifications by area type are suggested as a conclusion.

Keywords

road network planning ; target performance ; functional hierarchy

References

  1. American, 2011 American Association of State Highway and Transportation Officials (AASHTO). (2011). A Policy on Geometric Design of Highways and Streets. CD-ROM.
  2. Eppel et al., 2001 Eppel, V., Bunker, J., & McClurg, B. (2001). A four level of road hierarchy for network planning and management. Proceedings 20th ARRB Conference.
  3. Forschungsgesellschaft fur Strasen, 2008 Forschungsgesellschaft fur Strasen -und Verkehrswesen (FGSV). (2008). Richtlinien fur integrierte Netzgestaltung RIN (in German).
  4. Geofabrik, 2015 Geofabrik GmbH and OpenStreetMap Contributors. (n.d.). Retrieved 10 02, 2015, from OpenStreetMap data for Germany: http://download.geofabrik.de/europe/germany.html.
  5. Japan Road Association, 2015 Japan Road Association. (2015). Explanation and Application of Road Structure Ordinance. (in Japanese).
  6. Kuwahara et al., 2011 M. Kuwahara, M. Wako, R. Wang; A study on network design by hierarchical street allocation; Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure planning and management), 67 (3) (2011), pp. 230–243 (in Japanese)
  7. Melkote and Daskin, 2001 S. Melkote, M. Daskin; An integrated model of facility location and transportation network design; Transportation Research Part A, 35 (2001), pp. 515–538
  8. Ministry of Land et al., 2015 Ministry of Land, Infrastructure, Tranport and Tourism (MLIT), Japan. (n.d.). Road Traffic Census 2010. Retrieved 10 08, 2015, from http://www.mlit.go.jp/road/census/h22-1/.
  9. Ministry of Land et al., 2050 Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Japan. (2014). Grand Design of National Spatial Development towards 2050, Japan -Creation of a country generating diverse synergies among regions. (in Japanese).
  10. Miyagawa, 2011 M. Miyagawa; Optimal hierarchical system of a grid road network; Annals of Operation Research, 172 (2011), pp. 349–361
  11. National, 2015 National Land Information Division, National Spatial Planning and Regional Policy Bureau, MLIT, Japan. (2014). National Land Numerical Information download service. Retrieved 10 02, 2015, from http://nlftp.mlit.go.jp/ksj-e/index.html.
  12. Research, 2015 Research Group on Highway Capacity and Quality of Service of Japan Society of Traffic Engineers (JSTE). (2015). Final Report of Research Group on Highway Capacity and Quality of Service. Japan Society of Civil Engineers (in Japanese).
  13. Shimokawa et al., 2012 Shimokawa, S., Utsumi, T., Nonaka, Y., Nakamura, H., & Oguchi, T. (2012). Significance and Future Works of Performance-oriented Method Considering the Hierarchical Road Classification. Conference on Infrastructure Planning and Management, Japan Society of Civil Engineers, Vol.45, 6 pages. (in Japanese).
  14. Transportation Research Board, 2000 Transportation Research Board (TRB). (2000). Highway Capacity Manual 2000.
  15. Transportation Research Board, 2010 Transportation Research Board (TRB). (2010). Highway Capacity Manual 2010.
  16. Vitins et al., 2012 Vitins, B., Schuessler, N., & Axhausen, K. (2012). Comparison of Hierarchical Network Design Shape Grammars for Roads and Intersections. The 91st Annual Meeting of Transportation Research Board.
  17. Yerra and Levinson, 2005 B. Yerra, D. Levinson; The emergence of hierarchy in transportation networks; The Annals of Regional Science, 39 (2005), pp. 541–553
  18. Zhang and Zhilin, 2011 H. Zhang, L. Zhilin; Weighted ego network for forming hierarchical structure of road networks; International Journal of Geographical Information Science, 25 (2) (2011), pp. 255–272
Back to Top

Document information

Published on 05/04/17

Licence: Other

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?