Truck Parking Usage Patterns by Facility Amenity Availability

2020 ◽  
Vol 2674 (10) ◽  
pp. 749-763
Author(s):  
Sharif Mahmud ◽  
Taslima Akter ◽  
Sarah Hernandez
Keyword(s):  
Stated Preference ◽  
Critical Issue ◽  
Time Of Day ◽  
Geographic Region ◽  
Clustering Model ◽  
Global Positioning ◽  
Usage Patterns ◽  
Transportation Research ◽  
Parking Facilities ◽  
Cluster 2

Truck parking is currently ranked by the American Transportation Research Institute (ATRI) as the fifth most critical issue for the trucking industry and, more importantly, as the second most important issue for truck drivers. Part of the problem can be attributed to inadequate supply of parking and federal hours of service (HOS) regulations. Recent truck driver stated-preference surveys reveal that amenities including restrooms, fuel, and showers are important considerations while seeking available parking. A link between parking usage patterns and facility amenity bundles can guide transportation agency investments in relation to the design and type of parking facilities with high potential to mitigate overcrowding issues, and can be used for predictive modeling in real-time parking availability algorithms and information systems. This paper used historical, anonymous truck global positioning system (GPS) data to determine the extent to which hourly parking usage patterns, that is, average parking duration, percentage of parked trucks, and parking usage ratio, vary by amenity availability. A K-means clustering model grouped parking facilities by time of day parking usage patterns, season, and geographic region. Each cluster, represented by parking usage patterns, was then tied to unique amenity bundles. Three usage pattern clusters were identified: overnight usage with long parking durations ( Cluster 1), off-peak usage with long parking durations, ( Cluster 2), and off-peak usage with short parking durations ( Cluster 3). In general, overnight and longer duration parking was associated with facilities that had fewer amenities, notably without showers, while peak and off-peak hours and shorter duration parking was associated with full-service facilities.

Comparison of Overnight Truck Parking Counts with GPS-Derived Counts for Truck Parking Facility Utilization Analysis

2019 ◽  
Vol 2673 (8) ◽  
pp. 377-387 ◽  
Author(s):  
Karla Diaz Corro ◽  
Taslima Akter ◽  
Sarah Hernandez
Keyword(s):  
Global Positioning System ◽  
Survey Methodology ◽  
Population Level ◽  
Department Of Transportation ◽  
Expansion Factor ◽  
Arrival Times ◽  
Global Positioning ◽  
Facility Type ◽  
Transportation Agencies ◽  
Parking Facilities

Increased demand for truck parking resulting from hours-of-service regulations and growing truck volumes, coupled with limited supply of parking facilities, is concerning for transportation agencies and industry stakeholders. To monitor truck parking congestion, the Arkansas Department of Transportation (ARDOT) conducts an annual observational survey of truck parking facilities. As a result of survey methodology, it cannot capture patterns of diurnal and seasonal use, arrival times, and duration. Truck Global Positioning System (GPS) data provide an apt alternative for monitoring parking facility utilization. The issue is that most truck GPS datasets represent a sample of the truck population and the representativeness of that sample may differ by application. Currently no method exists to accurately expand a GPS sample to reflect population-level truck parking facility utilization. This paper leverages the ARDOT study to estimate GPS “expansion factors” by parking facility type and defines two expansion factors: (1) the ratio of trucks parked derived from the GPS sample to those observed during the Overnight Study, and (2) the ratio of truck volume derived from the GPS sample to total truck volume measured on the nearest roadway. Varied expansion factors are found for public, private commercial (e.g., restaurant, retail store, etc.), and private truck stop facilities. Comparatively, the expansion factor based on roadway truck volumes was at least twice as high as that derived from the Overnight Study. Considering this, the method to determine expansion factors has significant implications on the estimated magnitudes of parking facility congestion, and thus will have consequences for investment prioritization.

Building User Communities of Interests by Using Latent Semantic Analysis

2011 ◽  
pp. 38-68
Author(s):  
Guandong Xu
Keyword(s):  
Latent Semantic Analysis ◽  
Web Mining ◽  
Semantic Analysis ◽  
Information Overload ◽  
Critical Issue ◽  
Web Usage Mining ◽  
Semantic Level ◽  
Web Usage ◽  
User Communities ◽  
Usage Patterns

Nowadays Web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the large number of users. As a result, how to provide Web users more exactly needed information is becoming a critical issue in Web-based information retrieval and data management. In order to address the above difficulties, Web mining was proposed as an efficient means to discover the intrinsic relationships among Web data. In particular, Web usage mining is to discover Web usage patterns and utilize the discovered usage knowledge for constructing interest-oriented user communities, which could be, in turn, used for presenting Web users more personalized Web contents, i.e. Web recommendation. On the other hand, Latent Semantic Analysis (LSA) is one kind of approaches that is used to reveal the inherent correlation resided in co-occurrence activities, such as Web usage data. Moreover, LSA possesses the capability of capturing the hidden knowledge at semantic level that can’t be achieved by traditional methods. In this chapter, we aim to address building user communities of interests via combining Web usage mining and latent semantic analysis. Meanwhile we also present the application of user communities for Web recommendation.

scholarly journals Quantification of the Accuracy of Low Priced GPS Receivers for Crash Location

2010 ◽  
Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour
Keyword(s):  
Global Positioning System ◽  
Time Of Day ◽  
Gps Data ◽  
Positioning System ◽  
Gps Receiver ◽  
Accuracy Improvement ◽  
Gps Receivers ◽  
Location Data ◽  
Global Positioning ◽  
Potential Tool

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.

Examining Barriers to Sustainable Intercity Transportation in Ireland

2012 ◽  
Vol 2271 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Gerard Cafferkey ◽  
Brian Caulfield
Keyword(s):  
Stated Preference ◽  
Mode Choice ◽  
Sustainable Transportation ◽  
Urban Context ◽  
Intercity Travel ◽  
Transportation Research ◽  
Intercity Transportation ◽  
Destination City ◽  
Preference Study ◽  
Main Factor

Over the past decade the Irish government has invested intensively in a large national motorway network. One benefit of this investment is that intercity travel has become considerably cheaper and quicker by car than by any other mode. The main objective of this research was to identify and examine the barriers to sustainable intercity transportation in Ireland. The majority of sustainable transportation research has occurred in an urban context; little research has focused on understanding the factors that encourage alternative modes for intercity trips. A stated preference study was conducted to determine which factors affect individuals' mode choice for an intercity trip. The results of this paper demonstrated that several factors affected individuals' mode choice for an intercity trip; the main factor was the requirement to have a car in the destination city.

scholarly journals Analysing Clusters of Consumers Who Use Medicinal and Aromatic Plant Products

2021 ◽  
Vol 13 (15) ◽  
pp. 8648
Author(s):  
Roxana-Larisa Cadar ◽  
Antonio Amuza ◽  
Diana Elena Dumitras ◽  
Mihaela Mihai ◽  
Cristina Bianca Pocol
Keyword(s):  
Environmental Protection ◽  
Consumer Behaviour ◽  
Healthy Lifestyle ◽  
Personal Care ◽  
Aromatic Plant ◽  
Clustering Model ◽  
Final Sample ◽  
Cluster 2 ◽  
Practical Implications ◽  
Behaviour Data

The trend towards health and environmental protection has led to an increase in the consumption of medicinal and aromatic plant (MAP) products. The market for MAP products is influenced by consumer behaviour and therefore the aim of this study was to identify consumer segments that use MAP products for phytotherapeutic, cosmetic and personal care purposes according to their perceptions, attitudes and consumption habits and possible correlations between consumption of MAP products and interest in a healthy lifestyle and sustainable behaviour. Data collection was performed by administering a questionnaire to Cluj-Napoca residents. The final sample consisted of two groups of MAP consumers: the first with 231 respondents who use these products for phytotherapeutic purposes, the second group—with 297 respondents who use them as cosmetic and personal care products. The collected data were statistically analysed using the k-means clustering model, resulting in two distinct clusters in both consumer groups: cluster 1, the “Curious”, and Cluster 2, the “Knowledgeable”. For the consumers of the second cluster, consumption was positively correlated with healthcare and environmental protection, while they exhibited a growing interest in environmentally certified MAP products. The results obtained contribute to a better understanding of the MAP products consumption behaviour while tackling the practical implications for stakeholders in the pharmaceutical and cosmetics industry through the development and innovation of products tailored to consumer needs.

scholarly journals UAV ONBOARD GPS IN POSITIONING DETERMINATION

2016 ◽  
Vol XLI-B1 ◽  
pp. 1037-1042
Author(s):  
K. N. Tahar ◽  
S. S. Kamarudin
Keyword(s):  
Coordinate System ◽  
Global Positioning System ◽  
Large Scale ◽  
Control Point ◽  
Critical Issue ◽  
Ground Control ◽  
Positioning System ◽  
Ground Control Points ◽  
Global Positioning ◽  
Point Positioning

The establishment of ground control points is a critical issue in mapping field, especially for large scale mapping. The fast and rapid technique for ground control point’s establishment is very important for small budget projects. UAV onboard GPS has the ability to determine the point positioning. The objective of this research is to assess the accuracy of unmanned aerial vehicle onboard global positioning system in positioning determination. Therefore, this research used UAV onboard GPS as an alternative to determine the point positioning at the selected area. UAV is one of the powerful tools for data acquisition and it is used in many applications all over the world. This research concentrates on the error contributed from the UAV onboard GPS during observation. There are several points that have been used to study the pattern of positioning error. All errors were analyzed in world geodetic system 84- coordinate system, which is the basic coordinate system used by the global positioning system. Based on this research, the result of UAV onboard GPS positioning could be used in ground control point establishment with the specific error. In conclusion, accurate GCP establishment could be achieved using UAV onboard GPS by applying a specific correction based on this research.

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