Using social media to understand challenges faced by US urban parcel delivery drivers: Reports from the curb

Iacobucci, Evan; McDonald, Noreen C.; Edwards, Charles H.W.; Steiner, Ruth

doi:10.1016/j.tranpol.2022.07.013

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Wojnowska et al [85] found that lack of transportation systems, and the unreasonable operation and maintenance of parking spaces and lots, are the main resultant factors. Iacobucci et al [86] also found that the difficulty in promoting social enterprises has led to a reduction in effectiveness in terms of managing parking spaces, which is a resultant factor for PPC urban problems, and it appears at the top of the hierarchy, upon which, effectiveness depends.…”

Section: Results Analysis 441 Grey-dematel-ism Analysismentioning

confidence: 99%

Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience

Chen,

Tian,

Wang

et al. 2024

Buildings

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As the size and complexity of cities around the world increase, various types of urban problems are emerging. These problems are caused by multiple factors that have complex relationships with each other. Addressing a single cause blindly may result in additional problems, so it is crucial to understand how urban problems arise and how their causes interact. The study utilizes the Grey Decision-Making Trial and Evaluation Laboratory (Grey-DEMATEL), in conjunction with the Grey Interpretative Structural Model (Grey-ISM), to construct a hierarchical structure that examines the relationships between the causes of urban problems, thereby revealing the root causes and developmental mechanisms of urban problems. The Grey Matrix Cross-Reference Multiplication Applied to Classification (Grey-MICMAC) method was employed to clarify the influence and position of each cause. The Poor Parking Convenience (PPC) in Wuhan, China, is taken as a case study. The findings reveal the following: (1) the proposed method effectively identifies the key causes and processes of urban problems; (2) the insufficient management of roadside parking areas and impractical allocation of temporary parking spaces are the two main causes of PPC in Wuhan City. This method would be helpful to urban managers in discovering the causes of urban problems and formulating corresponding policies, to ultimately contribute towards healthy urban and sustainable development.

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Section: Results Analysis 441 Grey-dematel-ism Analysismentioning

confidence: 99%

Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience

Chen,

Tian,

Wang

et al. 2024

Buildings

View full text Add to dashboard Cite

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“…Better data collection, dissemination, and access procedures could help inform a rapidly evolving situation in the last mile, where the curb is becoming a more dangerous place. Existing work describes the disjointed policies involved in allocating curb space for delivery 40 and documents the difficulties drivers are experiencing in navigating this landscape 22 . In turn, partnerships between agencies charged with supporting occupational health, urban planning professionals, municipalities, and private shipping companies could help to coordinate multifaceted solutions that improve safety, delivery operations, and quality of life where these systems interact with the places people live.…”

Section: Discussionmentioning

confidence: 99%

“…21 Finally, recent research, using content analysis of conversations between drivers on online forums, suggests that drivers are cognizant of these problems, concerned for their safety, and that they take steps to mitigate unsafe situations when possible. 22 Drivers reported that practices like unauthorized parking are typically a last resort and are sometimes-perhaps counterintuitively-used to avoid situations they consider unsafe. For example, some drivers reported parking on the wrong side of the street to avoid having to walk across traffic to deliver a package.…”

Section: A Changing Safety Landscape: E-commerce and The "Last Mile"mentioning

confidence: 99%

Examining injury trends in parcel delivery drivers in the United States: Challenges and opportunities

Iacobucci

McDonald

Naumann

et al. 2023

American J Industrial Med

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Introduction:Growth of e-commerce has caused a vast increase in parcel delivery, which raises concern for safety of drivers and other road users as more deliveries take place.Methods: This project analyzes injury/illness and fatality trends among workers with delivery-related NAICS codes using three major sources of occupational hazard data in the United States: the Survey of Occupational Illnesses and Injuries, the Census of Fatal Occupational Injuries, and the Industrial Tracking Application. Descriptive statistics were employed to illustrate trends over time as well as to highlight opportunities for improved data collection and dissemination.Results: The number of injuries to drivers has risen sharply over the past decade. Some of this increase appears due to growth of this industry, but increasing overall rates suggest the industry is becoming more hazardous. While nonfatal injuries were typically caused by continuous workplace exposures (e.g., repetitive strain, contact with object/equipment), fatalities were almost exclusively caused by transportation incidents. Additionally, crucial aspects of these trends are difficult or impossible to analyze given the current data landscape.Conclusions: Observed trends reinforce earlier calls for additional scrutiny of working conditions that threaten drivers. Injuries caused by transportation incidents are likely more severe than others and highlight the danger the transportation system poses to drivers and others. Current data collection and dissemination processes offer room to improve in terms of understanding how to prevent future injuries.

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Modeling Multimodal Curbside Usage in Dynamic Networks

Liu,

Qian

2024

Transportation Science

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The proliferation of emerging mobility technology has led to a significant increase in demand for ride-hailing services, on-demand deliveries, and micromobility services, transforming curb spaces into valuable public infrastructure for which multimodal transportation competes. However, the increasing utilization of curbs by different traffic modes has substantial societal impacts, further altering travelers’ choices and polluting the urban environment. Integrating the spatiotemporal characteristics of various behaviors related to curb utilization into general dynamic networks and exploring mobility patterns with multisource data remain a challenge. To address this issue, this study proposes a comprehensive framework of modeling curbside usage by multimodal transportation in a general dynamic network. The framework encapsulates route choices, curb space competition, and interactive effects among different curb users, and it embeds the dynamics of curb usage into a mesoscopic dynamic network model. Furthermore, a curb-aware dynamic origin-destination demand estimation framework is proposed to reveal the network-level spatiotemporal mobility patterns associated with curb usage through a physics-informed data-driven approach. The framework integrates emerging real-world curb use data in conjunction with other mobility data represented on computational graphs, which can be solved efficiently using the forward-backward algorithm on large-scale networks. The framework is examined on a small network as well as a large-scale real-world network. The estimation results on both networks are satisfactory and compelling, demonstrating the capability of the framework to estimate the spatiotemporal curb usage by multimodal transportation. History: This paper has been accepted for the Transportation Science Special Issue on ISTTT25. Funding: This material is based upon work supported by the Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy [Award DE-EE0009659]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2024.0522 .

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Using social media to understand challenges faced by US urban parcel delivery drivers: Reports from the curb

Cited by 3 publications

References 19 publications

Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience

Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience

Examining injury trends in parcel delivery drivers in the United States: Challenges and opportunities

Modeling Multimodal Curbside Usage in Dynamic Networks

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