1 research outputs found
Feasibility of Equity-driven Taxi Pricing Strategy based on Double Auction Mechanism in Bangkok Metropolitan Region, Thailand
Passenger rejection by taxi drivers impacts the travel behaviour in many
cities and suburban areas, often leaving those potential customers in
non-popular zones stranded without access to taxis. To overcome this problem,
many practices have been implemented, such as penalties to drivers, bans, and
new pricing strategies. This paper presents a double auction taxi fare scheme,
which gives both passengers and taxi drivers to influence the price, coupled
with a clustering method to discourage strategic service rejection in the case
study of Bangkok Metropolitan Region, Thailand, which has detailed data
availability and uneven taxi journey distributions. The double auction
mechanism is tailored to 2019 taxi trips, service rejection complaints, and
local travel behaviour to boost transportation equity. To benchmark the
performance of the new double auction scheme, a bespoke agent-based model of
the taxi service in Bangkok Metropolitan Region at different rejection rates of
0%-20% was created. On one hand, the current rejection behaviour was modelled,
and on the other, the double auction pricing strategy was applied. The results
indicate that the double auction strategy generates a spatially distributed
accessibility and leads to a higher taxi assignment success rate by up to 30%.
The double auction scheme increases pickups from locations that are 20-40 km
from central Bangkok by 10-15%, despite being areas of low profit. Due to the
changing taxi travel landscape and longer taxi journeys, the total air
pollutant emissions from the taxis increase by 10% while decreasing local
emissions within central areas of Bangkok by upto 40%. Using a 5 Baht average
surcharge, the total revenue drops by 20%. The results show that an
equity-driven pricing strategy as an implementation of transport policy would
be beneficial.Comment: 21 pages, 10 figures, 1 table, as accepted at Transportation Research
Board Conference 202