Page 116 - Proceeding of Atrans Young Researcher's Forum 2019_Neat

“Transportation for A Better Life:
Smart Mobility for Now and Then”

23 August 2019, Bangkok, Thailand

possible changes in people’s travel behavior under
the adverse weather conditions.
This paper aims to present the results of
interview surveys on revealed behavior changes of
road users in response to urban flooding caused by
heavy rainfall and/or high tidal rise. The surveyed
data is used to test if the weather condition
determines the likelihood of a travel behavior change
and influential factors to change, such as trip
purpose, information availability, and individual Fig. 1. Weather responsive traffic management
characteristics. Mode change binary logit models framework [10]
were also estimated by using stated adaptation There were many studies on this topic in
survey. The results would be helpful in design and North America and Europe. Some focused on one or
testing of possible measures to manage the traffic some types of bad weather (such as rain, flood, wind,
system to effectively respond to bad weather extreme cold, overheating, etc.) affecting one or
conditions. some types of users (including public transport
This paper is structured in 5 chapters. The riders, pedestrians, motorcyclists, and car users) [4,
first chapter introduces urban flooding issues and the 5]. However, the number of studies conducted in
objective of this paper. The second chapter presents developing countries is rather limited [1]. In
previous studies. The third chapter describes Bangkok, Thailand, under heavy rain, pedestrians
methodology and data collection. The fourth chapter attempted to walk throughout the flooded areas
presents the results of analysis on patterns of change while many local people were impossible to leave
and influential factors. The fifth chapter concludes home to work, car users had to use motorcycle taxi
with solution recommendations and further works. to get to the nearest train stations, and train stations
become overcrowded [Bangkok post paper, 2016].
2. Literature review In Malaysia, to avoid flooded routes, travelers often
People might adapt to adverse weather select alternative roads that are longer [9]. Those
differently depending on culture and transport papers pointed out the patterns of travel behavior
system [1, 2]. International studies pointed out that change under rains and flooding conditions in other
if administrators wish to help drivers in adjusting countries. In Vietnam, there was only one previous
their on-road behavior in adverse weather research that examined the patterns of change in
conditions, the methods should be local and Hanoi City [6].
technical by nature [7]. A framework for
implementing traffic management strategies, which 3. Methodology and data collection
include advisory, control and treatment measures, is 3.1 Revealed survey
widely applied to help address road congestions due In literature, data for analyzing travel
to adverse weathers. This system includes guidance behavior change under adverse weather conditions
materials and tools to support authorities to compile are either passive data (e.g., traffic count, velocity
and analyze relevant information in order to measurement, GPS, weather information, etc.) or
formulate, implement, and evaluate traffic interview data (e.g., personal characteristics,
management strategies [10]. Among the four personal feelings about weather, weather influences,
components, data collection and analysis of personal decisions) [3]. The latter are usually
behavioral mechanisms or human factors are collected by revealed preference travel survey, stated
essential for formulating weather-responsive traffic adaptation experiment (SA), stated preference
management strategies (Figure 2). survey and so forth. Based on the review of previous
studies and the results of some focus group
discussions, a questionnaire was designed for a
revealed adaption survey to capture traveler’s
behavior changes in response to adverse weather
conditions and to prepare input data for traffic model
development in the overall research project. Each
respondent was asked to reveal if and how they
would eventually change their travel in four cases,

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