dc.contributor.author |
Pathiraja, ALAC |
|
dc.contributor.author |
De Silva, PCP |
|
dc.contributor.author |
Jayasinghe, AB |
|
dc.contributor.editor |
Gunaruwan, TL |
|
dc.date.accessioned |
2022-04-05T04:52:23Z |
|
dc.date.available |
2022-04-05T04:52:23Z |
|
dc.date.issued |
2020-11 |
|
dc.identifier.citation |
Pathiraja, A.L.A.C., De Silva, P.C.P., & Jayasinghe, A.B. (2020). Estimating the catchment area of a supermarket in Sri Lanka [Abstract]. In T.L. Gunaruwan (Ed.), Proceedings of 5th International Conference on Research for Transport and Logistics Industry 2020 (p. 30). Sri Lanka Society of Transport and Logistics. https://slstl.lk/r4tli-2020/ |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/17573 |
|
dc.description.abstract |
Unplanned developments are a serious issue contributing to traffic congestion in most
countries. Therefore, a "Traffic Impact Assessment (TIA)" for with a proposed development
should be undertaken before granting approval to proceed. Locally, the Urban Development
Authority (UDA) in Sri Lanka considers a 500m radius from the site boundaries as the traffic
impact study area in which TIAs are conducted. Many scholars argue that the geographical
extent of a traffic impact area is not fixed: it may differ and should therefore be flexible.
The vehicles attracted by new retail developments negatively impact on transport,
contributing to traffic congestion relative to other developments. Retail stores along the road
network generate additional traffic and change the spatial travel pattern of the street
network. Therefore, it is better to understand spatial configurations and classify the retail
spatial patterns of retail stores. This paper derives the spatial patterns of retail activity in
Colombo, Sri Lanka by calculating the level of street integration and street connectivity
using the space syntax technique in depth map software. This paper categorizes spatial
patterns of retail activity to delineate the true catchment area of a supermarket through the
GIS overlay tool and Network-Based Kernel Density Estimation (NKDE). The findings of
this research illustrate that the true catchment area is not fixed and will differ based on the
diverse operational requirements of each new retail development. This helps to create a
better understanding of spatial patterns of the urban retail stores in Colombo area. It supports
strategies for sustainable planning and development. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Sri Lanka Society of Transport and Logistics |
en_US |
dc.relation.uri |
https://slstl.lk/r4tli-2020/ |
en_US |
dc.subject |
Catchment area |
en_US |
dc.subject |
Delineate |
en_US |
dc.subject |
Retail agglomerations |
en_US |
dc.subject |
Supermarket |
en_US |
dc.subject |
Traffic impact area |
en_US |
dc.title |
Estimating the catchment area of a supermarket in Sri Lanka |
en_US |
dc.type |
Conference-Abstract |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Transport and Logistics Management |
en_US |
dc.identifier.year |
2020 |
en_US |
dc.identifier.conference |
5th International Conference on Research for Transport and Logistics Industry 2020 |
en_US |
dc.identifier.place |
Colombo |
en_US |
dc.identifier.pgnos |
p. 30 |
en_US |
dc.identifier.proceeding |
Proceedings of 5th International Conference on Research for Transport and Logistics Industry 2020 |
en_US |
dc.identifier.email |
amapathirajauom2018@gmail.com |
en_US |
dc.identifier.email |
amilabj@uom.lk |
en_US |
dc.identifier.email |
amapathirajauom2018@gmail.com |
en_US |