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The number of taxi trips by pickup location in the evacuation zones; (a) the mandatory evacuation ordered on 28 October 2012 during Hurricane Sandy; (b) normal time two weeks before Sandy on 14 October 2012. (The highlighted area is the case study area located in Manhattan from 60th Street south). (Data source: NYC TLC data).

The number of taxi trips by pickup location in the evacuation zones; (a) the mandatory evacuation ordered on 28 October 2012 during Hurricane Sandy; (b) normal time two weeks before Sandy on 14 October 2012. (The highlighted area is the case study area located in Manhattan from 60th Street south). (Data source: NYC TLC data).

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In many large-scale evacuations, public agencies often have limited resources to evacuate all citizens, especially vulnerable populations such as the elderly and disabled people, and the demand for additional transportation means for evacuation can be high. The recent development of ride-sourcing companies can be leveraged in evacuations as an addi...

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Context 1
... can be improved in the future with reliable data or survey results for demand and supply estimation of ride-souring services in evacuations. Figure 5 shows the number of taxi trips by pickup locations in the evacuation zone. We compared the taxi trips on Sunday, 28 October 2012 (evacuation order issued in Hurricane Sandy) and Sunday, 14 October 2012, which is two weeks before Sandy with normal weather condition. ...
Context 2
... colors in outer boroughs are lighter during the evacuation period compared to normal time periods, which indicates a lower number of taxi trips in the area after the evacuation order is issued before the landfall of Hurricane Sandy. The case study area is located in Manhattan from 60th Street south, which is highlighted in Figure 5. The FHV trip records are only available from 2015, but the demand and supply of FHV trips in future evacuation events should have similar trends as taxi data during Hurricane Sandy. ...

Citations

... For the transit agency, the benefit of having drivers evacuate an empty bus can be considered in the future research. Moreover, with the rapid development of sharing economy in transportation, the proposed method can be extended for future studies to explore the possibility of connecting public transport and private companies such as Uber and Lyft to work together in the evacuation (65). Demographic information can also be studied further when addressing the equity issue in transit-based evacuation planning, such as where minorities or low-income people live and how to improve their access to the shelters and transit. ...
Article
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Transportation planning before the actual landfall of a hurricane can save lives by allowing evacuees to be transferred from the affected area to shelters in a safe and timely manner. This paper aims to fill an important research gap by proposing a detailed framework for bus-based evacuation planning with fair resource allocation in dense urban areas. We deconstruct the bus-based evacuation problem into multiple stages. Firstly, we identify a subset of existing bus stops to serve as bus pickup locations during the evacuation through the use of an integer programming model. The objective is to minimize the total number of pickup locations while ensuring full coverage of the demand. Secondly, the selected bus pickup locations are assigned to shelters where safe shelters are provided by the government. An equity component was introduced in the shelter assignment stage to ensure fair evacuation resource allocation. Finally, a bus driver management model was proposed that can be used to determine the optimal crew size in bus-based evacuation planning. A hypothetical hurricane evacuation scenario in New York City was used to evaluate the performance of the proposed methodology and the impact of model parameters. The results can provide feasible decisions on identifying bus pickup locations, shelter assignment, as well as the number of drivers needed for transit-based evacuation planning. The equity component shows a noticeable increase in equity index despite it only adding a small cost to the average travel distance.