Wei Wang

ORCID: 0000-0003-1915-1127
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About
Contact & Profiles
Research Areas
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility
  • Traffic control and management
  • Transportation and Mobility Innovations
  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Supply Chain and Inventory Management
  • Urban and Freight Transport Logistics
  • Evacuation and Crowd Dynamics
  • Economic and Environmental Valuation
  • Oceanographic and Atmospheric Processes
  • Ocean Waves and Remote Sensing
  • Sustainable Supply Chain Management
  • Traffic and Road Safety
  • Scheduling and Optimization Algorithms
  • Complex Network Analysis Techniques
  • Evaluation Methods in Various Fields
  • Quality and Supply Management
  • Consumer Market Behavior and Pricing
  • Evaluation and Optimization Models
  • Efficiency Analysis Using DEA
  • Wildlife-Road Interactions and Conservation
  • Seaweed-derived Bioactive Compounds
  • Urban Design and Spatial Analysis
  • Aviation Industry Analysis and Trends

Southeast University
2009-2024

Central University of Finance and Economics
2023

Ocean University of China
2003-2022

Beihang University
2022

Henan University of Urban Construction
2021

Chang'an University
2020

Jiangxi Normal University
2020

Southeast University
2008-2020

Nanyang Technological University
2016

Beijing Jiaotong University
2009-2015

This research explores the application of archived data from Automated Data Collection Systems (ADCS) to transport planning with a focus on bus passenger travel behavior, including Origin-Destination (OD) inference, using London as case study. It demonstrates feasibility and ease applying trip-chaining infer OD smart card transactions Automatic Vehicle Location (AVL) is first known attempt validate results by comparing them manual survey data. With inferred matrices, variations weekday...

10.5038/2375-0901.14.4.7 article EN Journal of Public Transportation 2011-12-01

10.1016/j.tre.2015.08.007 article EN Transportation Research Part E Logistics and Transportation Review 2015-09-08

As transit service performance should be considered from the passengers’ perspectives, it is essential to determine perceptions of and understand role these in travel decisions. bus market share has steadily declined, aim this study explore impact on mode choice preference increase ridership. To achieve research objective, an intention survey conducted obtain attitudes. Exploratory factor analysis confirmatory are used measure extract main factors attributes. Next, structural equation...

10.1177/1687814015573826 article EN cc-by Advances in Mechanical Engineering 2015-03-01

Abstract. This study investigated the statistics of eddy splitting and merging in global oceans based on 23 years altimetry data. Multicore structures were identified using an improved geometric closed-contour algorithm sea surface height. Splitting events discerned from continuous time series maps level anomalies. represent intermediate stage process evolution, similar to generation multiple nuclei a cell as preparatory phase for division. Generally, or can substantially change (by factor 2...

10.5194/os-15-413-2019 article EN cc-by Ocean science 2019-04-15

Household traffic surveys are widely used in travel behavior analysis, especially time and distance analysis. Unfortunately, any one kind of household has its own problems. Even all survey data is accurate, it difficult to get the trip routes information. To our delight, electric map API (e.g., Google Maps, Apple Baidu Auto Navi Maps) could provide route information, which remedies traditional survey’s defect. Thus, we can take advantage two kinds integrate them into In order test validity...

10.1155/2019/6383097 article EN cc-by Journal of Advanced Transportation 2019-03-11

On urban streets with bus stops, arrivals can disrupt traffic flows in the neighboring areas. Different stop designs have distinct influences on road users. This study aims to evaluate how different types of stops affect operations vehicles, bicycles, and buses that pass by. Four differ geometric layout are examined. They termed shared bike/bus (Type 1), separated 2), vehicle/bus inboard bike lane 3), bay 4). Data collected from eight sites two cities China. Results data analysis show quite...

10.1155/2018/4702517 article EN cc-by Journal of Advanced Transportation 2018-12-10

Gravity-based models have been extensively utilized in urban studies for measuring geographic disparities access to parks over the past several decades. However, despite methodological advancements incorporating various aspects of accessibility, there has limited focus on impact variable selection (e.g., attractiveness factors) and transport modes accessibility evaluations. This study investigates differences gravity-based assessing park based varying assumptions about factors travel...

10.1177/23998083231206168 article EN Environment and Planning B Urban Analytics and City Science 2023-10-17

10.1016/s0925-5273(03)00212-3 article EN International Journal of Production Economics 2003-09-12

The main objective of this research is to examine the role power relationship in a two-level green supply chain which made up one shared manufacturer and two competitive retailers. We develop six game theory-based models explore members’ operational decisions taking into account three vertical structures ( Manufacturer Stackelberg , Retailer Vertical Nash ) as well retailers’ horizontal structure (Bertrand or competition). Then, we design two-part tariff contract can encourage members...

10.1155/2019/3453850 article EN cc-by Discrete Dynamics in Nature and Society 2019-12-23

10.1016/j.physa.2020.125184 article EN Physica A Statistical Mechanics and its Applications 2020-09-02

Travel time reliability plays a key role in bus scheduling and service quality. Owing to various stochastic factors, buses often suffer from traffic congestion, delay bunching, which leads disturbances of travel time. Automatic vehicle location (AVL) could record the spatiotemporal information buses, making it possible understand status service. In this paper, we specifically analyze statistical characteristics based on historic AVL data. Moreover, Kalman filter-LSTM deep learning is...

10.1142/s0217979223500340 article EN International Journal of Modern Physics B 2022-09-07

Smart card data provide valuable insights and massive samples for enhancing the understanding of transfer behavior between metro public bicycle. However, smart cards bicycle are often issued managed by independent companies this results in same commuter having different identity tags systems. The primary objective study is to develop a fusion methodology matching using historical data. A novel method with association rules match derived from two systems proposed validation was performed....

10.1155/2018/4047682 article EN cc-by Journal of Advanced Transportation 2018-05-28

This study proposed a hybrid optimization model for urban bus transit route network design problem (TRNDP). Although several mathematical methods had been developed to make the tractable, relied on excessive assumptions, which resulted in over-simplification or idealization of problems. In light these considerations, multi-level and multi-mode method was introduced this study. A consisted three levels: skeleton network, arterial feeder network. The different levels were associated with modes...

10.1109/access.2020.2966008 article EN cc-by IEEE Access 2020-01-01
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