Page 119 - 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

Wea. Beh. Trip distance Trip frequency from motorcycle to car, followed by 3% of them
cond. change χ2 df Sig. Cra χ2 df Sig. Cra changing from motorcycle to taxi and 2.5% shifting
Heav Trip cancel. 2956 10 .000* 0.678 3191 12 .000* 0.705 from bus to car (Figure 4). Totally, 12.6% of the
y rain Time chan. 3358 10 .000* 0.723 3240 12 .000* 0.710 respondents switched from space-saving modes
durin Des. change 3043 10 .000* 0.688 3123 12 .000* 0.697
g the Route chan. 3161 10 .000* 0.701 3169 12 .000* 0.702 (e.g., motorcycle and bus) to space-intensive car and
trip Mode chan. 3161 10 .000* 0.701 3107 12 .000*,b 0.695 taxi. This fact explains for the occurrence of serious
Flood Trip cancel. 3103 10 .000* 0.695 3743 12 .000* 0.763 traffic congestions during or right after the rain.
befor Time chan. 3097 10 .000* 0.694 3170 12 .000* 0.702
e the Des. change 3094 10 .000* 0.694 3178 12 .000* 0.703 Further, while 1.9% of the respondents shifted to
depar Route chan. 3075 10 .000* 0.692 3450 12 .000* 0.733 bus, 2.7% of the shifted from bus to car and
ture Mode chan. 3073 10 .000* 0.692 3155 12 .000* 0.701 motorcycle. While only 2.4% of the respondents
Trip cancel. 3021 10 .000* 0.686 3264 12 .000* 0.713
Flood Time chan. 3222 10 .000* 0.708 3259 12 .000* 0.712 shifted from bicycle and car to motorcycle, but
durin Des. change 3071 10 .000* 0.691 3138 12 .000* 0.699 10.5% of them switched from motorcycle to other
g the Route chan. 3074 10 .000* 0.692 3153 12 .000* 0.701
trip .000* .000*,b modes. This fact calls for the need to improve public
Mode chan. 3049 10 0.689 3096 12 0.694
,b,c ,c transport services in order to meet the increasing
Results are based on nonempty rows and columns in each innermost mobility demand as well as to provide more choices
suitable. for people moving around under bad weathers.
*. The Chi-square statistic is significant at the .05 level.
b. More than 20% of cells in this suitable have expected cell counts
less than 5. Chi-square results may be invalid. Table 3. A matrix of mode change rates among the
c. The minimum expected cell count in this suitable is less than one. mode-changed trips
Chi-square results may be invalid.
i j Car, MC, Bic Bus, Walkin Othe Total
Ebike,
ycl Shuttle
4.3 Mode change behavior Taxi MC taxi e Bus g r
As shown in Table 1, rates of mode change Car, Taxi 1.30% na na 2.58% na 3.88%
under heavy rain and flood in HCMC look rather MC, Ebike, 38.69% na 13.57% 2.84% na 55.10%
MC taxi
small in comparison with the figures in developed Bicycle 10.33% 18.08% 2.58% na na 30.99%
countries. Cools et al. (2010) found the rates of mode Bus, Shuttle 4.84% 5.17% na na na 10.01%
change caused by heavy rains and snow, for Bus na na na na na na
Walking
examples, 15%-24% of commuting trips changed Other na 0.01% na 0.01% 0.02%
mode, 14%-22% of shopping trips and 16%-26% of Total 53.86% 24.55% 0% 16.16% 5.42% na 100%
leisure trips did so [6]. This study found that under
the conditions of heavy rains and floods the rates of As shown in Table 3, within the mode-
mode change were less than 5%, 0.5%, and 3% for changed trips, about 54% changed to car and taxi,
commuting, shopping, and leisure trips, 25% to motorcycle and motorcycle taxi, 16% to bus
respectively. The lack of alternative transport modes and shuttle bus, and 5% to walking. Among the
in the city may make change mode unfeasible. It can mode-changed trips, 55% shifted from motorcycle,
be observed for few cases that people park their ebike, and motorcycle taxi, followed by 31% from
private vehicles and take a bus, taxi or even bicycle, 10% from bus and shuttle bus, and 4% from
motorcycle taxi due to a heavy rain or road flooding car and taxi.
during their trips when they feel unsafe to continue The most popular pattern of mode change is
driving themselves. from motorcycle to car and taxi. More than nearly
40% of the respondents who decided to change mode
5.60% actually shifted to car and/or taxi. While road
capacity is usually reduced because of heavy rain or
2.99%
2.24% flood, the shift from space-consuming mode
1.49% 1.25%
0.75% (car/taxi) to space-saving mode (motorcycle) has
caused more serious traffic congestions in rainy or
MC->Car MC->Taxi Bus->Car Bike->MC MC->Bus Bike->Car flooding day. The shift to public transport (from

motorcycle and car users) is only about 10%, much
Fig. 2 Rates of specific mode shift due to heavy lower than the shift to car/taxi. It is important to
rains and floods conduct an analysis of influential factors to mode
choice in heavy rain and urban flooding for a deeper
Under the adverse weathers, the greatest understanding and to support the formulation of
mode change was 5.6% of the respondents switching strategies.

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