| Project/Area Number |
17560473
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
交通工学・国土計画
|
|---|
| Research Institution | Kobe University |
|---|
Principal Investigator |
ODANI Michiyasu Kobe University, Graduate School of Science and Technology, Professor, 自然科学研究科, 教授 (00115817)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
YAMANAKA Hideo Tokushima University, Department of Engineering, Professor, 工学部, 教授 (20166755)
AKITA Naoya Kobe University, Department of Maritime Science, Research Assistant, 海事科学部, 助手 (80304137)
TANAKA Yasuhito Hiroshima National College of Maritime Technology, Distribution and Information Technology, Lecturer, 流通情報工学科, 講師 (50321485)
|
|---|
| Project Period (FY) |
2005 – 2006
|
| Project Status |
Completed (Fiscal Year 2006)
|
| Budget Amount *help |
¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 2006: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2005: ¥2,100,000 (Direct Cost: ¥2,100,000)
|
|---|
| Keywords | Probe Data / Environmental Policy / Truck / Goods Delivery Plan / Traffic Demand Management / Goods Delivery Activity |
|---|
| Research Abstract |
This study aims to reveal the basic characteristics of delivery activities based on probe date which were gathered by a set of probe equipment (comprising GPS and data logger) mounted to trucks. With these probe data, we formulated mathematical models to lay out delivery plans for trucks under environmental restrictions. Then some delivery plans for different trucks were proposed and evaluated from the viewpoints of both reduction in truck operation cost and improvement of urban environment. The main findings of this study are summarized as follows:
First, we built mathematical models for deciding optimum departure time to make the designated delivery time and choosing optimum delivery route by considering the uncertainty of travel time and loading/unloading time obtained based on probe data. We also deducted some factors influencing route choice by trucks on road networks and developed disaggregate route choice models using revealed factors as explanatory variables.
Second, we made two types of delivery plans for different trucks (home delivery service trucks and freight container trailer trucks). 1) We proposed allocation plans of distribution centers for home delivery trucks under the cargo OD demand, and evaluated them from improvement of efficiency of truck delivery service as well as reduction in negative environmental impacts. 2) We estimated the effects of toll policy on changing trucks' (trailer trucks) running routes from highways in urban area, environmentally vulnerable area, to expressway in coastal area to improve roadside environment, using our route choice models.
|
