Dynamics of Megacity Regional Development

Kulshrestha, Sanatan

doi:10.1007/978-981-16-5469-5_3

Cited by 3 publications

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“…Recently, traffic volume has been increasing every year in almost every mega city which further causes traffic congestion due to over-supplied traffic on limited roadways Sheikh and Peng (2022). As a result, the significance of traffic pattern analysis research is gaining attraction Kulshrestha and Kulshrestha (2022). In addition, the pattern of traffic volume varies spatially and temporally and also has recurrent and nonrecurrent nature Zhang et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year

Rahman,

Nower

2024

Preprint

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Numerous large city’s sustainability and livability are severely hampered by traffic congestion. To create efficient measures to relieve this congestion, its vital to comprehend the spatiotemporal patterns of this congestion. Long-term spatiotemporal patterns analysis at the city level has seldom been studied for the megacities of developing countries. To fill the gap our study intends to shed light on the temporal patterns, spatial distribution, and recurrent patterns of traffic congestion to better understand traffic’s dynamic characteristics of the fifth most traffic congested city, Dhaka. By using a big data analytical technique a sample of 350400 records for Dhaka city over a year is analyzed. The traffic data have been collected from Google Maps using our proposed data collection tool. We perform extensive image processing and analyses to identify the peak hours, congestion pattern, relationship between zones, and the reason for extreme traffic congestion. This analysis offers insightful recommendations for infrastructure development, traffic control, and urban planning for the city, of Dhaka. For the analysis, the entire Dhaka city is divided into ten zones and our study reveals that every zone has a different congestion pattern and congestion varies at weekends and weekdays differently. These discoveries provide valuable geographic traffic insights.

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Section: Introductionmentioning

confidence: 99%

Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year

Rahman,

Nower

2024

Preprint

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Inferring Traffic Patterns of Dhaka City: A Spatio-Temporal Analysis Over a Year

Moshiur Rahman,

Nower

2024

Transport and Telecommunication Journal

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Numerous large cities’ sustainability and livability are severely hampered by traffic congestion. To create efficient measures to relieve this congestion, it is vital to comprehend the spatiotemporal patterns of this congestion. Our study addresses the scarcity of long-term spatiotemporal analysis for traffic congestion in developing megacities, focusing on Dhaka, the fifth most congested city. Utilizing big data analytics with a sample of 350,400 records from Google Maps over a year, we identify temporal patterns, spatial distribution, and recurrent congestion patterns. Through extensive image processing, peak hours, congestion variations, inter-zone relationships, and causes of extreme congestion are analyzed. Dhaka is divided into ten zones, revealing distinct congestion patterns with variations between weekends and weekdays. These findings offer crucial insights for urban planning, traffic control, and infrastructure development in rapidly expanding megacities, contributing to the alleviation of congestion and enhancement of sustainability and livability.

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A Joint Detection Method of Groundwater-Level Change Based on Radial Basis Function Method with Multi-Social Networks

Wang

Cai

2022

International Journal of Fuzzy System Applications

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Groundwater is one of the important water sources for production and life, and the detection of groundwater level change is important to avoid over-exploitation of resources and ground collapse. Groundwater is the main source of water for industrial and agricultural development, and groundwater has many characteristics, such as excellent water quality, strong sustainability, uniform distribution, stable water supply, etc. Groundwater is extremely widely used in some areas of China and has become the only water source. On the other hand, the means of monitoring groundwater resources should be constantly increased, and the data should be analyzed in a timely manner to minimize the losses caused by excessive groundwater mining and to ensure the reasonable use of groundwater resources.

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Dynamics of Megacity Regional Development

Cited by 3 publications

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Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year

Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year

Inferring Traffic Patterns of Dhaka City: A Spatio-Temporal Analysis Over a Year

A Joint Detection Method of Groundwater-Level Change Based on Radial Basis Function Method with Multi-Social Networks

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