scholarly journals Analyzing the Issue of On-street Parking in Commercial Areas: A Case Study of the City of Hyderabad, Pakistan

2018 ◽  
Vol 01 (02) ◽  
pp. 01-09
Author(s):  
Baig Farrukh ◽  
Sahito Noman ◽  
Bano Arsla ◽  
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Survey Methodology ◽  
Greenhouse Gas Emission ◽  
Central Business District ◽  
Rapid Urbanization ◽  
Analysis Technique ◽  
Business District ◽  
Public Views ◽  
The City

In developing countries, rapid urbanization has created an enormous pressure on land use, infrastructure and transportation. The fast growing ratio of motorized vehicles in urban areas is the main cause of environmental degradation. Almost 80% of the greenhouse gas emission is from vehicles in cities. In the city centers, on-street parking is considered the major cause of traffic congestion. The aim of this study was to evaluate the problems of on-street parking and disorderly parking at Central Business District (CBD) of Hyderabad city. The field survey methodology was adopted to perceive the current traffic problems in the city center and traffic count survey was carried out in both peak and off hours. The data was analyzed using descriptive statistics frequency analysis technique with the help of Statistical Package for the Social Sciences (SPSS). The findings revealed that increasing number of vehicles, on-street parking, improper parking, encroachment, inadequate parking space and poor condition of roads are the main causes of traffic congestion. The study bridges up the research gap of determining public views about on-street parking challenges in the context of Hyderabad, Pakistan and provides statistical results which may equally be adapted by policy makers and transportation planners in order to improve the traffic situation.

The Central Business District in American Cities

2018 ◽  
Author(s):  
Emily Remus
Keyword(s):  
20Th Century ◽  
Traffic Congestion ◽  
Central Business District ◽  
Urban Life ◽  
Land Values ◽  
White Families ◽  
Race And Class ◽  
Business District ◽  
American Cities ◽  
The City

The central business district, often referred to as the “downtown,” was the economic nucleus of the American city in the 19th and 20th centuries. It stood at the core of urban commercial life, if not always the geographic center of the metropolis. Here was where the greatest number of offices, banks, stores, and service institutions were concentrated—and where land values and building heights reached their peaks. The central business district was also the most easily accessible point in a city, the place where public transit lines intersected and brought together masses of commuters from outlying as well as nearby neighborhoods. In the downtown, laborers, capitalists, shoppers, and tourists mingled together on bustling streets and sidewalks. Not all occupants enjoyed equal influence in the central business district. Still, as historian Jon C. Teaford explained in his classic study of American cities, the downtown was “the one bit of turf common to all,” the space where “the diverse ethnic, economic, and social strains of urban life were bound together, working, spending, speculating, and investing.” The central business district was not a static place. Boundaries shifted, expanding and contracting as the city grew and the economy evolved. So too did the primary land uses. Initially a multifunctional space where retail, wholesale, manufacturing, and financial institutions crowded together, the central business district became increasingly segmented along commercial lines in the 19th century. By the early 20th century, rising real estate prices and traffic congestion drove most manufacturing and processing operations to the periphery. Remaining behind in the city center were the bulk of the nation’s offices, stores, and service institutions. As suburban growth accelerated in the mid-20th century, many of these businesses also vacated the downtown, following the flow of middle-class, white families. Competition with the suburbs drained the central business district of much of its commercial vitality in the second half of the 20th century. It also inspired a variety of downtown revitalization schemes that tended to reinforce inequalities of race and class.

scholarly journals The impact on urban accessibility conditions of a proposed cableway line in the city of Manizales, Colombia

2021 ◽  
Vol 51 (51) ◽  
pp. 95-107
Author(s):  
Jorge Alberto Montoya ◽  
Juan Camilo Aguilera ◽  
Diego Alexander Escobar
Keyword(s):  
Urban Areas ◽  
Central Business District ◽  
Environmentally Sustainable ◽  
Public Transport System ◽  
Average Travel Time ◽  
Urban Accessibility ◽  
Business District ◽  
The Impact ◽  
The City

Abstract Due to the increased tendency to use private transport in urban areas of Manizales and Villamaría municipalities, it is intended to include alternative modes of transport that are more time-efficient and environmentally sustainable to improve the inhabitants’ quality of life. This article aims to analyse the inclusion impact of a sustainable public transport system, such as a new cableway line in the city connecting the Central Business District (CBD) with Ciudadela del Norte district, measuring overall average accessibility for the current and future scenario. This establishes the average travel time and the savings in terms of time shown as a percentage that these modes of transport would create in the population displacement and also which inhabitants are the most likely to benefit.

scholarly journals Urban attractors: Discovering patterns in regions of attraction in cities

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250204
Author(s):  
May Alhazzani ◽  
Fahad Alhasoun ◽  
Zeyad Alawwad ◽  
Marta C. González
Keyword(s):  
Urban Areas ◽  
Clustering Algorithm ◽  
Statistical Significance ◽  
Central Business District ◽  
Statistical Significance Testing ◽  
Spatial Spread ◽  
The Road ◽  
On The Road ◽  
Business District ◽  
The City

Understanding the dynamics by which urban areas attract visitors is important in today’s cities that are continuously increasing in population towards higher densities. Identifying services that relate to highly attractive districts is useful to make policies regarding the placement of such places. Thus, we present a framework for classifying districts in cities by their attractiveness to daily commuters and relating Points of Interests (POIs) types to districts’ attraction patterns. We used Origin-Destination matrices (ODs) mined from cell phone data that capture the flow of trips between each pair of places in Riyadh, Saudi Arabia. We define the attraction profile for a place based on three main statistical features: The number of visitors a place received, the distribution of distance traveled by visitors on the road network, and the spatial spread of locations from where trips started. We used a hierarchical clustering algorithm to classify all places in the city by their features of attraction. We discovered three main types of Urban Attractors in Riyadh during the morning period: Global, which are significant places in the city, Downtown, which contains the central business district, and Residential attractors. In addition, we uncovered what makes districts possess certain attraction patterns. We used a statistical significance testing approach to quantify the relationship between Points of Interests (POIs) types (services) and the patterns of Urban Attractors detected.

scholarly journals Implementasi Teori Asiatica Euphoria McGee Dalam Pengembangan Zona Industri Studi Kasus: Desa Bajera, Kecamatan Selemadeg, Kabupaten Tabanan, Bali

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Ni Putu Suda Nurjani
Keyword(s):  
Urban Areas ◽  
Central Business District ◽  
Industrial Estates ◽  
The Core ◽  
Basic Transformation ◽  
Core Areas ◽  
To Come ◽  
Business District ◽  
Industrial Zones ◽  
The City

Cities in Indonesia were initially formed through the transformation of various influences of power and power. Strength as an identity that can attract the outermost area to come to an area, while power lies in the personal strength of man as the leader of a region. These conditions have an impact on the development of the world of industry in the country. Transforming traditional city structures into a modern city, not only physically but also a basic transformation towards the concept of urbanity of its citizens. The urban village as an element of the city which is the identity of a region, still holds a traditional urbanity value system that is different from the conception of modern urbanity. This condition affects the development of industrial zones, such as what happened in Bajera Village, Selemadeg District, Tabanan Regency. The heterogeneity of the population of Bajera Village is one of the biggest indicators of the formation of an industrial zone. The existence of a transportation mode that connects the outermost areas of Bajera with the Core of Bajera Village is another driving factor that influences the growth of industrial estates. This study tried to explain descriptively qualitatively, a fact of regional development based on Asiatica Euphoria McGee's theory. The special attraction in the core of Bajera Village encourages residents in the outermost areas of Bajera to migrate to the core areas of Bajera Village with the aim of staying temporarily and to settle for long periods of time. This phenomenon is in line with the theory put forward by McGee, that the CBD (central business district) is formed due to the attraction of the core (core) and the ease of modes of transportation from peri urban areas to the CBD. This condition makes Bajera village the center of industrial and trade areas in the Selemadeg Barat region, Tabanan, Bali.

scholarly journals Influence of Nairobi’s Biophysical Characteristics on its Vulnerability to a Changing Climate

2020 ◽  
Vol 2 (2) ◽  
pp. 64-85
Author(s):  
Sunday Julius Abuje ◽  
Bernard Moirongo Otoki ◽  
Bernard Mugwima Njuguna
Keyword(s):  
Urban Form ◽  
Urban Areas ◽  
Global Climate ◽  
Regional Climate ◽  
Central Business District ◽  
Space Networks ◽  
Heat Risk ◽  
Business District ◽  
Expert Ranking ◽  
The City

Urban areas experience exacerbated impacts of the regional climate variability because of their form characteristics such as imperviousness of surfaces, building density and distribution of open spaces. These are further confounded by geographical aspects such as topography, soil types, and vegetation types. Nairobi city is increasingly exposed to flood and heat risk as an aggregation of its urban form and the changing global climate. The paper sought to establish the influence of Nairobi’s biophysical characteristics on its vulnerability to both flooding and heat risks. The paper used a descriptive research design augmented with Geographic Information Systems to spatially model the landcover, soil drainage, topography, green space networks, and population density characteristics at the sub-location level. Vulnerability indices were developed using the expert ranking system and used to determine the vulnerability of the different sub-locations. The findings revealed a vulnerability pattern close to the historically segregated planning of the city. The central and eastern parts of the city exhibit high vulnerability while the western, northwestern, and southern parts of the city display moderate to low vulnerability. The paper recommends that adapting existing neighbourhoods and proactive planning of new neighbourhoods uses the ecosystem-based approach. This to entail decentralization of smaller green spaces, redesign of road medians for water management, re-specification of street vegetation species to incorporate a mix of deciduous and evergreen trees and incorporating eco-roofs and walls in high-density developments like the Central Business District.

scholarly journals META-HEURISTIC APPROACH FOR HIGH-DEMAND FACILITY LOCATIONS CONSIDERING TRAFFIC CONGESTION AND GREENHOUSE GAS EMISSION

2016 ◽  
Vol 24 (4) ◽  
pp. 233-244 ◽  
Author(s):  
Taesung HWANG ◽  
Minho LEE ◽  
Chungwon LEE ◽  
Seungmo KANG
Keyword(s):  
Greenhouse Gas ◽  
Facility Location ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Greenhouse Gas Emission ◽  
Memetic Algorithms ◽  
Distribution Centers ◽  
Ghg Emission ◽  
High Demand ◽  
Facility Locations

Large facilities in urban areas, such as storage facilities, distribution centers, schools, department stores, or public service centers, typically generate high volumes of accessing traffic, causing congestion and becoming major sources of greenhouse gas (GHG) emission. In conventional facility-location models, only facility construction costs and fixed transportation costs connecting customers and facilities are included, without consideration of traffic congestion and the subsequent GHG emission costs. This study proposes methods to find high-demand facility locations with incorporation of the traffic congestion and GHG emission costs incurred by both existing roadway traffic and facility users into the total cost. Tabu search and memetic algorithms were developed and tested with a conventional genetic algorithm in a variety of networks to solve the proposed mathematical model. A case study to determine the total number and locations of community service centers under multiple scenarios in Incheon City is then presented. The results demonstrate that the proposed approach can significantly reduce both the transportation and GHG emission costs compared to the conventional facility-location model. This effort will be useful for decision makers and transportation planners in the analysis of network-wise impacts of traffic congestion and vehicle emission when deciding the locations of high demand facilities in urban areas.

Walking Distances to and from Light-Rail Transit Stations

1996 ◽  
Vol 1538 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Sean O'Sullivan ◽  
John Morrall
Keyword(s):  
Central Business District ◽  
Design Guidelines ◽  
Walking Distance ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Bus Stop ◽  
Business District ◽  
The Relationship ◽  
The City

A quantifiable basis for developing design guidelines for pedestrian access to light-rail transit (LRT) stations is provided for planners based on observations in Calgary, Canada. Calgary's LRT system, which began operations in 1981, has been operating for long enough for walking patterns to and from its stations to become established. Interviews were conducted with 1,800 peak-hour LRT users about the origins and destinations of their LRT trips. Those who walked to or from a station were asked to point out on a map their approximate origins or destinations. The distances were then measured off the maps. Walking distance guidelines were developed for central business district (CBD), transfer and local stations. Catchment area maps were produced, and the relationship between reported walking time and measured walking distance was calculated. Also compared are the walking distances at LRT stations and the walking distances at bus stops. The research strongly indicates that people walk farther to reach an LRT station than a bus stop. Using bus walking standards would result in an underestimate of LRT walking distances by about half. For the city of Calgary the average walking distance to suburban stations is 649 m with a 75th-percentile distance of 840 m. At CBD stations the average walking distance is 326 m and the 75th-percentile distance is 419 m.

Applications of Big Data and Green IoT-Enabling Technologies for Smart Cities

2019 ◽  
pp. 22-41
Author(s):  
Onur Dogan ◽  
Omer Faruk Gurcan
Keyword(s):  
Big Data ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Smart Cities ◽  
Digital Data ◽  
Rapid Urbanization ◽  
Data Resource ◽  
Parallel Data ◽  
Information And Communication

In recent years, enormous amounts of digital data have been generated. In parallel, data collection, storage, and analysis technologies have developed. Recently, there has been an increasing trend of people moving towards urban areas. By 2030 more than 60% of the world's population will live in an urban environment. Urban areas are big data resource because they include millions of citizens, technological devices, and vehicles which generate data continuously. Besides, rapid urbanization brings many challenges, such as environmental pollution, traffic congestion, health problems, energy management, etc. Some policies for countries are required to cope with urbanization problems. One of these policies is to build smart cities. Smart cities integrate information and communication technology and various physical devices connected to the network (the internet of things or IoT) to both improve the quality of government services and citizen welfare. This chapter presents a literature review of big data, smart cities, IoT, green-IoT concepts, using technology and methods, and applications worldwide.

scholarly journals Exploring the Synergies between Urban Overheating and Heatwaves (HWs) in Western Sydney

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 470 ◽  
Author(s):  
Hassan Saeed Khan ◽  
Riccardo Paolini ◽  
Mattheos Santamouris ◽  
Peter Caccetta
Keyword(s):  
Central Business District ◽  
Heat Fluxes ◽  
Urban Station ◽  
Advective Flux ◽  
Important Interaction ◽  
The Difference ◽  
Business District ◽  
Open Question ◽  
The City ◽  
Synoptic Circulation

There is no consensus regarding the change of magnitude of urban overheating during HW periods, and possible interactions between the two phenomena are still an open question, despite the increasing frequency and impacts of Heatwaves (HW). The purpose of this study is to explore the interactions between urban overheating and HWs in Sydney, which is under the influence of two synoptic circulation systems. For this purpose, a detailed analysis has been performed for the city of Sydney, while considering an urban (Observatory Hill), in the Central Business District (CBD), and a non-urban station in Western Sydney (Penrith Lakes). Summer 2017 was considered as a study period, and HW and Non-Heatwave (NHW) periods were identified to explore the interactions between urban overheating and HWs. A strong link was observed between urban overheating and HWs, and the difference between the peak average urban overheating magnitude during HWs and NHWs was around 8 °C. Additionally, the daytime urban overheating effect was more pronounced during the HWs when compared to nighttime. The advective flux was found as the most important interaction between urban overheating and HWs, in addition to the sensible and latent heat fluxes.

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