A novel modelling approach of integrated taxi and transit mode and route choice using city-scale emerging mobility data

Mepparambath, Rakhi Manohar; Soh, Yong Sheng; Jayaraman, Vasundhara; Tan, Haihan; Ramli, Muhamad Azfar

doi:10.1016/j.tra.2023.103615

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…Traditional methods for analyzing travel characteristics and hotspots from trajectory data involve data normalization using taxi GPS data, extraction of travel features, and clustering of trajectory points using algorithms like K-means or DBSCAN. In the end, the clustering results are examined to identify patterns in the behavior of residents [18]. However, these methods face challenges such as dependence on data quality, which directly impacts analysis accuracy [19]; low clustering accuracy due to simplistic data clustering [20]; and limited processing capabilities when dealing with large-scale, high-dimensional data [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Urban Residents’ Travelling Characteristics and Hotspots Based on Taxi Trajectory Data

Du,

Meng,

Liu

2024

Applied Sciences

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This study utilizes taxi trajectory data to uncover urban residents’ travel patterns, offering critical insights into the spatial and temporal dynamics of urban mobility. A fusion clustering algorithm is introduced, enhancing the clustering accuracy of trajectory data. This approach integrates the hierarchical density-based spatial clustering of applications with noise (HDBSCAN) algorithm, modified to incorporate time factors, with kernel density analysis. The fusion algorithm demonstrates a higher noise point detection rate (15.85%) compared with the DBSCAN algorithm alone (7.31%), thus significantly reducing noise impact in kernel density analysis. Spatial correlation analysis between hotspot areas and paths uncovers distinct travel behaviors: During morning and afternoon peak hours on weekdays, travel times (19–40 min) exceed those on weekends (16–35 min). Morning peak hours see higher taxi utilization in residential and transportation hubs, with schools and commercial and government areas as primary destinations. Conversely, afternoon peaks show a trend towards dining and entertainment zones from the abovementioned places. In the evening rush, residents enjoy a vibrant nightlife, and there are numerous locations for picking up and dropping off people. A chi-square test on weekday travel data yields a p-value of 0.023, indicating a significant correlation between the distribution of travel hotspots and paths.

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Section: Introductionmentioning

confidence: 99%

Analysis of Urban Residents’ Travelling Characteristics and Hotspots Based on Taxi Trajectory Data

Du,

Meng,

Liu

2024

Applied Sciences

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“…On the other hand, simulation in customer service systems, the flow of customers in a service system has been analyzed [12,13] as well as evaluating staffing strategies [14][15][16] waiting times [17,18] and resource distribution to optimize customer satisfaction [19,20] as well as in logistics systems [21,22]. Another area widely studied with simulation is vehicle flow systems in a transportation network [23][24][25] modeling traffic and intersections [26][27][28][29][30][31], and modeling public transportation systems [32][33][34][35][36], as well as health systems [37,38].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Processing Times and Economic Feasibility to Produce Moringa Oleifera Lam. Capsules in Mexico.

Delfín-Portela,

Meléndez-Armenta,

Gurruchaga-Rodríguez

et al. 2024

Preprint

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The production of Moringa oleifera capsules has emerged as a promising agricultural activity in Mexico, driven by the plant’s well-documented health and nutritional benefits. In response, farmers have begun producing Moringa oleifera as a dietary supplement, using artisanal methods with minimal production controls. This study aimed to estimate the processing times of the Moringa oleifera production system using simulation modeling with Arena® software, and to evaluate the economic feasibility of capsule production. Methodologically, it was approached as a case study in the state of Veracruz, processing times were estimated through systematic sampling and modeled with Arena simulation software. Three simulation scenarios were considered to select a technically and economically viable alternative for agricultural producers: one with a 200-capsule encapsulator (1E200C), another with two 200-capsule encapsulators (2E200C) and a third with an 800-capsule encapsulator (1E800C). For the initial diagnosis a research stay was conducted for 180 days, and the production capacity was set at 24,000 capsules due to raw material limitations. Results indicated that the 1E800C scenario reduced processing time by 60% compared to the1E200C scenario, and by 35% compared to the 2E200C scenario. Additionally, the 1E800C model required only 2 days (16 hours) of work, while the 2E200C required 4 days (32 hours), and the 1E200C required 7 days (56 hours). In terms of production costs per unit of 90 capsules, the 1E200C was 3.93 USD the 2E200C 3.64 USD and the 1E800C 3.45 USD The study concluded that due to raw material limitations, the company can produce 12,800 units per year of 90 capsules. It is recommended to adopt the 1E800C encapsulator, which would lower overall production costs by 12.23%, representing 0.48 USD per unit produced, resulting in an additional profit of 6,150.50 USD Over a five-year evaluation period, the benefit-cost ratio was 5.03, the NPV was 922,370.11 and the IRR was 42.09%, indicating that this type of agribusiness in Mexico is both technically and economically feasible.

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Prediction of railroad user count using number of route searches via bivariate state–space modeling

Kuwano,

Hosoe,

Moriyama

2023

J Supercomput

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A novel modelling approach of integrated taxi and transit mode and route choice using city-scale emerging mobility data

Cited by 6 publications

References 34 publications

Analysis of Urban Residents’ Travelling Characteristics and Hotspots Based on Taxi Trajectory Data

Analysis of Urban Residents’ Travelling Characteristics and Hotspots Based on Taxi Trajectory Data

Estimation of Processing Times and Economic Feasibility to Produce Moringa Oleifera Lam. Capsules in Mexico.

Prediction of railroad user count using number of route searches via bivariate state–space modeling

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