DECLARATION

I am K.JYOTIBASU (Reg.No. 311719251701) hereby declare that the dissertation report entitled “PERCEPTION OF PEDESTRIANS IN SUBWAY” done by me under the guidance of Prof. Sathish Kumar T and Ar. Angelin Shinola (internal) at Mohamed Sathak A J Academy of Architecture, Chennai is submitted in partial fulfilment of the requirements for the award of Bachelor of Architecture degree, Anna University, Chennai-600025.

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SIGNATURE OF THE CANDIDATE

Table Ofcontents

PART1 :

PART2 : CASE STUDYANDANALYSIS

PART3 : IPROVEMENTSTRATERGYAT PEDESTRIAN BOTTLE NECK

PART4 : GUINDYSUBWAY

Abstract Ofthe Study

Numerous pedestrian interact with subway which act as multimodal transition space between various transportation hubs. Many studies examined the pedestrian behaviour in subway station but most of them focuses on spatial situation such as disasters and evacuation. This study aims to verify and analyse the pedestrian behaviour and movement by observation and space syntax theory in constructing an optimal agent based model.

At initial stage of study is to classify the pedestrian characteristics and type of spaces using data observed from the Guindy subway station It analysing different types pedestrian who uses the foot path and their different spaces they navigate such as metro station, railway station , over bridge which connect platforms in Guindy , Bus stop and depot , ticket counter, commercial areas which consist of series of retail shops at various categories the second step involves identification and analysis of different hotspot ie.(source which causes overcrowding and act as mass transitional space. Identification factors which affects the pedestrian behaviour inside the subway and surrounding environment

Third step of study involves using depthmapx program to develop an appropriate agent based model for the station which study of individual agents such as pedestrian with their interaction with the environment The next step is to running the stimulation to determine the frequency of agent movement at each gate to determine how closely it matches with the real world.

Result of the study: is the understanding the relationship between pedestrian pattern through the entire subway and surrounding environment and analytical data from agent based model .The shortest route and vacant spaces created during overcrowding between major transit hubs and ticket counters can be used by model to explain these patterns. This concludes movement of pedestrian travel bout a station from one location to other