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Freight Trip Generation and Land Use

October 4, 2019 By admin

Freight Trip Generation and Land Use

START YEAR: 2009

COMPLETION YEAR: 2015

TOPIC(S): Freight Modeling

PRIMARY CONTACT(S):

  • José Holguín-Veras,
  • Jeffrey Wojtowicz

PARTNER(S):

  • University at Albany,
  • TNO Delft,
  • Herbert Levinson,
  • Erica Levine Powers, Esq., (J.D., LL.M. Taxation)

SPONSORS/FUNDING:

  • The National Cooperative Freight Research Program Project 25 (NCFRP 25),
  • The National Cooperative Freight Research Program Project 25(01) (NCFRP 25(01)),
  • The National Cooperative Highway Research Program Project 08-80 (NCHRP 08-80)
NCHRP Freight Generation Project

OVERVIEW

The current transportation planning process does not effectively estimate freight activity necessary to assist decision makers when making infrastructure choices. This research seeks to provide improved freight generation (FG) and freight trip generation (FTG) models for different land use characteristics related to freight facilities and commercial operations to better inform state and local decision-making. Freight generation models are estimated using the largest and most complete establishment-based freight survey in the world (with 100,000 establishments samples): the Commodity Flow Survey.

KEY TASKS

  • Develop FG models based on the Commodity Flow Survey micro-data
  • Compilation of an online relational database of FTG models
  • Design a survey prototype for establishments based data collection
  • Propose a synthetic correction of trip rates used in the literature to compute FTG
  • Develop a set of case studies to estimate FTG models and assess their transferability 

KEY FINDINGS

  • FG and FTG are very different concepts: their modeling approaches follow different principles
  • Using constant FTG rates is bound to produce large estimation errors
  • Employment and establishment area are good variables to explain FG and FTG
  • The type of economic activity is a key variable to estimate FTG
  • Industry sectors are better proxies of economic activities than land use
  • The aggregation procedure should be determined according to the disaggregated model specification

KEY PRODUCTS

  • NCFRP Report 19 / NCHRP Report 739
  • NCFRP Report 37
  • Freight and Service Activity Generation Software

ADDITIONAL PRODUCTS

Holguín-Veras, J., M. Jaller, L. Destro, X. Ban, C. Lawson and H. Levinson (2011). “Freight Generation, Freight Trip Generation, and the Perils of Using Constant Trip Rates.” Transportation Research Record 2224: 68-81. 10.3141/2224-09

Holguín-Veras, J., I. Sánchez-Díaz, C. Lawson, M. Jaller, S. Campbell, H. S. Levinson and H. S. Shin (2013). “Transferability of Freight Trip Generation Models.” Transport Research Record (in print).

Lawson, C., J. Holguín-Veras, I. Sánchez-Díaz, M. Jaller, S. Campbell and E. Powers (2012). “Estimated Generation of Freight Trips Based on Land Use.” Transportation Research Record 2269: 65-72. 10.3141/2269-08

CONTRIBUTING TEAM MEMBERS

  • Miguel Jaller,
  • Iván Sánchez-Díaz,
  • Shama Campbell

RELATED PROJECTS

NCHRP 08-111: Peer Exchange Workshop

October 3, 2019 By admin

NCHRP 08-111: Peer Exchange Workshop

The NCHRP 08-111 Effective Decision-Making Methods for Freight-Efficient Land Use held a Peer Exchange Workshop with more than 40 participants from the public and private sectors. It was a one-day workshop to discuss issues related to freight and land use, and potential tools and solutions that could encourage freight-efficient land use.

Some images from the workshop are presented below. 

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Transportation Research Board Annual Meeting 2019

October 3, 2019 By admin

Transportation Research Board Annual Meeting 2019

Another eventful year for our center was commemorated at the 2019 Transportation Research Board (TRB) Annual Meeting in Washington, D.C. in January, with the team presenting numerous posters and research papers, including:

  • Time-Dependent Patterns in Freight Trip Generation, by José Holguín-Veras, Diana Ramirez-Rios, Sofia Perez-Guzman and Nilson Herazo-Padilla
  • A Combined Data Collection, Modelling Approach to Estimate Freight Generation in Bangladesh, by José Holguín-Veras, Abdelrahman Ismael, Lokesh Kalahasthi, Wilfredo F Yushimito, Matías Herrera-Dappe, and Md Shamsul Hoque
  • Multi-Class Equilibrium Demand Synthesis, by Carlos Alberto Gonzalez-Calderon, José Holguín-Veras, and Xuegang Ban
  • Geographic Heterogeneity of Home Deliveries in the U.S., by Joshua Schmid and Cara Wang
  • Trends of Home Deliveries in the U.S.: Changes from 2009 to 2017, by Joshua Schmid and Cara Wang
  • Combined Multinomial Logit Modal Split and Paired Combinatorial Logit Traffic Assignment Model, by Jian Wang, Srinivas Peeta, Sean He and Jinbao Zhao
  • A Control Approach to Mitigate Cyberattacks on a Connected Vehicle Platoon Using an Improved Intelligent Driver Mode, by Pengcheng Wang, Sean He, Xinkai Wu, Guizhen Yu, Lianyu Chu
  • Spatiotemporal Vulnerability Analysis of Railway System with Heterogenous Train Flows, by Liu Hong, Bowen Ye, Han Yan, Hui Zhang, Min Ouyang, Sean He

The team also co-hosted the Rensselaer Polytechnic Institute Reception on January 14, 2019. Friends and alumni of Rensselaer Polytechnic Institute attended, and everyone had a good time catching up with one another.  

Some images from the reception are presented below. 

Transportation Research Board Annual Meeting 2019 News
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2017 Franz Edelman Award

October 3, 2019 By admin

2017 Franz Edelman Award Selects Off-Hour Delivery Project as Finalist

INFORMS selected the Off-Hour Delivery (OHD) Project as one of six finalists for the 2017 Franz Edelman Award. INFORMS, which recognizes organizations that have transformed the way people tackle the world’s complex problems, is the most prestigious award for analytics and operations research, with past winners including Netherlands Railway, UPS, Hewlett-Packard, General Motors, and U.S. Centers for Disease Control and Prevention.

The New York City Off-Hour Delivery (NYC OHD) program is the innovative work of a private-public-academic partnership, a collaborative effort of leading private-sector groups and companies, with the public-sector agencies led by the New York City Department of Transportation, and the research partners led by Rensselaer Polytechnic Institute. The efforts of this partnership have induced more than 400 commercial establishments in NYC to accept OHD without supervision. The benefits of the program include reduced vehicle emissions, and improved quality of life for urban citizens, as well as decreased delivery costs, increased delivery reliability, and enhanced employee productivity. The program’s total economic benefits exceed $20 million per year.

The OHD project was shortlisted for the award with the American Red Cross, Barco, BHP Billiton, General Electric, and Holiday Retirement. Learn more about INFORMS

2017 Franz Edelman Award News

Source: Informs

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