Demand Learning and Supply Optimization for Last-Mile Transportation in Disadvantaged Neighborhoods

Zhang, Peter; Lin, Erin; Chen, Cathy; Ma, Zhuang; Miao, Yidi; Hao, Hao; Wei, Zehua

i

Demand Learning and Supply Optimization for Last-Mile Transportation in Disadvantaged Neighborhoods

2022-07-01
By Zhang, Peter ; Lin, Erin ; Chen, Cathy

File Language:

English

Details

Creators:

Zhang, Peter ; Lin, Erin ; Chen, Cathy ; Ma, Zhuang ; Miao, Yidi ; Hao, Hao ; Wei, Zehua
Corporate Creators:

Mobility21, Carnegie Mellon University
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

Pennsylvania;United States
Edition:

Mobility21 Final Research Report
Corporate Publisher:

Mobility21, Carnegie Mellon University
Description:

We identified two key operational issues faced by the Heritage Community Transportation (HCT): high cost, and long rider wait times. We propose adding flexibility in HCT's fleet portfolio and routes to simultaneously address such issues. The project will collect data on demand patterns, develop new theory, and provide practical policy recommendations. It also provides faculty and students the opportunity to conduct research with a transportation provider whose mission is to serve our region's most vulnerable populations.
Format:

PDF
Funding:

69A3551747111
Download URL:

https://rosap.ntl.bts.gov/view/dot/63240/dot_63240_DS1.pdf
File Type:

[PDF - 6.40 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:17fa843eb73b2e98fc0224685c54f3b40211b336d857adba7699259216be12344aae1214149b6d3daea5c422d94dcf3496260a778e28870ca5589661b2b67775

Demand Learning and Supply Optimization for Last-Mile Transportation in Disadvantaged Neighborhoods [supporting dataset]

Dataset

Efficient and fair transportation planning creates opportunities and equity for jobs, health care, and education. Therefore, data consolidation for tr ...

Zhang, Peter

;

Hao, Hao

File Language:

English

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Details Datasets

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