Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model
Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer US
2018
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| Online Access: | http://hdl.handle.net/1721.1/118792 https://orcid.org/0000-0002-9635-9987 |
| _version_ | 1826210314492837888 |
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| author | Sakai, Takanori Alho, André Hyodo, Tetsuro Bhavathrathan, B. K. Ben-Akiva, Moshe E |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Sakai, Takanori Alho, André Hyodo, Tetsuro Bhavathrathan, B. K. Ben-Akiva, Moshe E |
| author_sort | Sakai, Takanori |
| collection | MIT |
| description | Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching a receiver to a supplier that considers two-layers in supplier selection: distribution channels and specific suppliers. The distribution channel is an important element in freight modeling, as the type of distribution channel is relevant to various aspects of shipments and vehicle trips. The model is estimated using the data from the Tokyo Metropolitan Freight Survey. We demonstrate how typical establishment survey data (i.e. establishment and outbound shipment records) can be used to develop the model. The model captures the correlation structure of potential suppliers defined by business function and provides insights on the differences in the supplier choice by distribution channel. The reproducibility tests confirm the validity of the proposed approach, which is currently integrated into a metropolitan-scale agent-based freight modeling system, for practical use. Keywords: Freight demand model, Urban freight, Commodity fow, Error component, logit mixture, Disaggregate |
| first_indexed | 2024-09-23T14:47:52Z |
| format | Article |
| id | mit-1721.1/118792 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:47:52Z |
| publishDate | 2018 |
| publisher | Springer US |
| record_format | dspace |
| spelling | mit-1721.1/1187922022-09-29T10:39:01Z Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model Sakai, Takanori Alho, André Hyodo, Tetsuro Bhavathrathan, B. K. Ben-Akiva, Moshe E Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory Ben-Akiva, Moshe E Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching a receiver to a supplier that considers two-layers in supplier selection: distribution channels and specific suppliers. The distribution channel is an important element in freight modeling, as the type of distribution channel is relevant to various aspects of shipments and vehicle trips. The model is estimated using the data from the Tokyo Metropolitan Freight Survey. We demonstrate how typical establishment survey data (i.e. establishment and outbound shipment records) can be used to develop the model. The model captures the correlation structure of potential suppliers defined by business function and provides insights on the differences in the supplier choice by distribution channel. The reproducibility tests confirm the validity of the proposed approach, which is currently integrated into a metropolitan-scale agent-based freight modeling system, for practical use. Keywords: Freight demand model, Urban freight, Commodity fow, Error component, logit mixture, Disaggregate Singapore. Ministry of National Development Singapore. National Research Foundation Singapore. Prime Minister’s Office (L2 NIC Award L2 NICTDF1-2016-1) 2018-10-30T13:40:24Z 2018-10-30T13:40:24Z 2018-10 2018-10-26T08:26:11Z Article http://purl.org/eprint/type/JournalArticle 0049-4488 1572-9435 http://hdl.handle.net/1721.1/118792 Sakai, Takanori, et al. “Commodity Flow Estimation for a Metropolitan Scale Freight Modeling System: Supplier Selection Considering Distribution Channel Using an Error Component Logit Mixture Model.” Transportation, Oct. 2018. https://orcid.org/0000-0002-9635-9987 en https://doi.org/10.1007/s11116-018-9932-1 Transportation Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer US Springer US |
| spellingShingle | Sakai, Takanori Alho, André Hyodo, Tetsuro Bhavathrathan, B. K. Ben-Akiva, Moshe E Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title | Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title_full | Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title_fullStr | Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title_full_unstemmed | Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title_short | Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model |
| title_sort | commodity flow estimation for a metropolitan scale freight modeling system supplier selection considering distribution channel using an error component logit mixture model |
| url | http://hdl.handle.net/1721.1/118792 https://orcid.org/0000-0002-9635-9987 |
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