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ARTÍCULO
TITULO

Does Connectivity Index Of Transport Network Have Impact On Delay For Driver?

Ravindra Kumar    
Dr. Purnima Parida    
Dr. Errampalli Madhu    
A.V.A. Bharat Kumar    

Resumen

In Delhi city, road network and public transportation network comprehensive design have been rarely planned in long term taking care of appropriate projection of traffic demand. Short term localized treatment like constructing flyover, intersection etc., are shifting congestion from one part of network to other part of network, which is creating lot of traffic jam, environmental issues, in-spite of providing remedial solution at black sport. The parameters such as capacity, speed, distance, and travel related activity are key factors for the Connectivity Index of intersections. The objective of the study is to understand the Connectivity Index (CI) in terms of public transportation, and infrastructure system and its relationship with delay at network level explain by taking case study of capital city Delhi of India. The aim of the study is to develop a relationship between CI and delay for optimization of parameters such as speed, capacity for public transport as well infrastructure at network level. Nehru Place in South Delhi, India has selected to apply the methodology to derive CI and view the different link and node connectivity's in the form of connectivity index where average speed is found to be 15 km/h while, the delay (stopped delay) of particular section either at midblock or at junction is considered as speed less than 5 km/h. The study area/network consists of 6.9 km trap length which comprises of 6 junctions (nodes) which connects 6 road links (links). There are 12 public transit routes that connect 12 bus stops. The parameters such as speed, and delay were measured using the GPS device and videography, and capacity for public transport from DMITS. Capacity of roads were extracted from traffic data collected at all the road sections in the network. Travel activity representation of road density was calculated from the available zone maps of the study area and population density was calculated from the available census, 2011 data and the zonal area of the study area. The connectivity index was measured for the links and nodes. Analysis shows that the link/node having the highest connectivity has the more delay i.e. Nehru Place (link) 3 and Nehru Place bus stop (node) 3 has the highest connectivity with 3.64 and 0.89, delay in sec of link 3 and node 3 are 318 sec and 30 sec.

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