Browsing by Author "Sano, K"

Now showing 1 - 6 of 6

item: Conference-Extended-Abstract
Network centrality analysis of public transport systems: developing a strategic planning tool to assess passenger attraction
(Sri Lanka Society of Transport and Logistics, 2017-07) Jaysinghe, A; De Silva, CK; Kasemsri, R; Sano, K; Gunaruwan, TL
item: Conference-Extended-Abstract
A network centrality application: examination of structural coherence of Colombo road network
(Sri Lanka Society for Transport and Logistics, 2016-06) Jaysinghe, A; De Silva, C; Sano, K; Nishiuchi, H; Gunaruwan, TL
item: Conference-Full-text
A Network Centrality Application: Examination of Structural Coherence of Colombo Road Network
(2016-06-21) Jaysinghe, A; De Silva, C; Sano, K; Nishiuchi, H
Urban streets demonstrate a hierarchical structure in the sense that a majority is trivial, while a minority is vital [1]. Jiang claimed that “coherent urban streets demonstrate a scaling law and characterised by the 80/20 road hierarchy principle, i.e. 80% of streets are less central (below the average), while 20% of streets are more central (above the average); out of the 20%, there is 1% of streets that are extremely well central” [1]. Recent works on structural analysis of urban street networks in terms of topological centrality in European and USA cities done by Yang et al. [2], Hillier et al. [3], Huang et al. [4], Levinson [5], Wang et al. [6], Gao et al. [7], have also supported the above claim. Accordingly, network centrality is used as a strategic planning tool to identify the structural coherence of transport networks. Inspired by the previous works, this study examines the structural coherence of the road network of Colombo city from the perspective of topological centrality.
item: Article-Full-text
Network Centrality Assessment (NCA): A Strategic Planning and Investment Tool to Simulate Traffic Volume in Developing Countries
(2016-06-21) Jayasinghe, A; Bandara, D; Sano, K
Urban areas in most of the developing countries, particularly in South Asia, have faced major challenges in traffic management and control in recent decades. Cities in those countries have recently been witnessed a rapid economic growth and urban sprawl, resulting an accelerated increase of vehicle movements which create several problems such as traffic congestion, road accidents and air pollutions. Therefore, it is important to formulate urban transport strategies and identify strategic transportation infrastructure projects for investment, before reaching the critical situation (Nishimiya, Koizumi, & Shimada, 2012). However, most of the transport planning efforts in developing countries have been based on the conventional transport planning process (Hamad & Faghri, 2003) which is difficult to be adopted for forecasting traffic in developing countries (Jayasinghe, Sano, & Nishiuchi, 2015). The difficulties of adopting conventional multi-step modeling in developing countries includes inadequate database for planning especially on land-uses, inadequate technical expertise in local level planning and implementing agencies, lack of funds to collect data and use sophisticated software applications, etc. (Paul, 2009), (TRL report cited in Cairns, 2011), (Hamad, Faghri, & Li, 2015). We have developed a new method based on graph theory and centrality to simulate traffic volume, which can effectively works to overcome the above-mentioned difficulties. Accordingly, this paper introduces the developed method, i.e. ‘Network Centrality Assessment’-NCA, and application possibilities based on five case studies in selected Sri Lankan and Indian cities.
item: Article-Full-text
A novel approach to model traffic on road segments of large-scale urban road networks
(Elsevier, 2019) Jayasinghe, A; Sano, K; Abenayake, CC; Mahanama, PKS
The study proposes a novel method for modeling traffic volumes at the road segment level of large-scale urban road networks. This study has been placed in a milieu where existing methods on modeling vehicular traffic volume are hampered by data and cost constraints, especially in developing countries. Emerging traffic modeling methods, based on centrality and space syntax provides a technically-efficient approach to overcome the above-mentioned constraints. Nevertheless, those methods are yet to be popular among practitioners due to limited accuracy and validity. This study modifies the existing methods and validates in five case cities to make them practice-ready. Findings of this study indicated that the proposed method is competent enough to estimate traffic volume of road segments on a par with the internationally accepted standards. • The proposed method combines two network centrality measures abstracting the traffic volume on a road segment as the sum of origin-destination trips (i.e., Closeness-Centrality) and pass-by trips (i.e., Betweenness-Centrality). • The study modifies the ‘distance’ variable in the existing formula as 'path-distance' which captures topological and mobility characteristics of roads. • The method does not require extensive data and can be implemented by utilizing publicly available open-source network analysis software, hence, ideal for resource-scarce situations.
item: Conference-Full-text
Travelers’ Route Choice: Comparing Relative Importance of Metric, Topological and Geometric Distance
(2016-06-21) Jayasinghea, A; Sano, K
This study investigates the relative importance of ‘metric distance’(MD),‘topological distance’(TD) and ‘geo-metrical distance’(GMD) in determining the route choice behavior of motorized travelers by mode. The study is based on data which has traced the travelers’ actual movements by using mobile GIS applications. MD, TD and GMD were calculated based on space syntax tool within a GIS environment. The findings indicated that GMD is more appropriate than MD in case of travelers’ who use car and motorcycle, whereas MD is more appropriate than GMD travelers’ who use PT and taxi for mode choice modeling, travel demand simulations and automobile navigation systems.