A Comparative Study of Nine Central Business Districts

Murphy, Raymond E.; Vance, James E.

doi:10.2307/142117

Cited by 29 publications

(12 citation statements)

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“…The POIs have been supplemented and checked based on the Baidu Map [80] and reclassified into 31 sub-groups included in seven groups (Table 1). Density analysis with point-based activities for center extraction refers implicitly to the CBD research developed during the second half of the twentieth century, and a set of activities and indicators has been listed to be considered for an analysis on CBD based on western cities [81][82][83]. Yet spatial distributions of POIs in Chinese cities are different from those in Western cities due to the unique socialist market economy and planning regulations in China: (1) following the regulations of the Standard for Residential Planning published by the Chinese Ministry of Housing and Urban-Rural Development, amenities of basic services and commodities, such as grocery shops, clinics, kindergartens, primary schools, and community centers are usually within good accessibility (within 800 m) for most residents; (2) huge divergence in trip distance between daily shopping and non-daily shopping has been revealed by several studies on the hierarchical structure of shopping activity in Chinese cities [28,36,37].…”

Section: Extraction Of Intra-urban Centers At Each Levelmentioning

confidence: 99%

Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach

Zhang

Xie

2015

Sustainability

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An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities.

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Section: Extraction Of Intra-urban Centers At Each Levelmentioning

confidence: 99%

Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach

Zhang

Xie

2015

Sustainability

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“…In this context, the maximum building height presents a distinct indicator for the CBD and can be supplemented by the maximum building volume which is commonly highly correlated. Further qualitative statements imply that the CBD is an aerial unit formed by a group of buildings, not by an individual object [3]. Thus, average values of the aforementioned measures present a logical addition to the parameter set.…”

Section: ) Phyisical Parameterisation Of the Cbdmentioning

confidence: 99%

“…Definitions of this mental construct are qualitative such as the CBD is "the nucleus […] of an urban area that contains the main concentration of commercial land use" [1] or a "unique area of massive concentration of activities and focus for the polarisation of capital, economic and financial activities in cities" [2]. Thus, several authors describe CBDs as areas marked by various qualitative indicators relative to the surrounding urban environment [3]. This shows that the CBD is defined not only by an individual building, but by the structure of the surrounding urban morphology.…”

Section: Introductionmentioning

confidence: 99%

Delimiting central business districts — A physical approach using remote sensing

Taubenböck

Klotz

Wurm

et al. 2013

Joint Urban Remote Sensing Event 2013

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Central Business Districts (CBDs) are an apparent structural type of large cities. Although the conceptual definition of CBDs is mostly functional, this urban structure type has characteristic physical features. The paper presents a conceptual framework to map these CBDs using physical parameters. We identify physical parameters from the published literature and statistically designate the CBD from a 3-D city model by the example of the test site La Defense, Paris, France. From it, we develop a method to detect CBDs from a combination of largearea Cartosat-1 high resolution digital surface models for the entire spatial extent of mega city Paris. Accuracy assessment shows that CBDs are detected with an accuracy of 83.3% and are spatially delineated with an overall accuracy of 83.7%.

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“…These routes were identified based on dominant land zoning, frontage distances, height and density based on zoning categories in terms of the Town Planning Scheme (TPS) [27]. The principles of the central business index method (CBI), central business height index (CBHI) and central business intensity index (CBII) were applied to the land use data and zonings within the study area based the techniques as developed by Murphy and Vance [28,29], Chapin [30] supported by those of Murphy [31]. This demarcation is supported by the elementary modelling methodology as discussed above.…”

Section: Transport Road Network and Patternmentioning

confidence: 99%

Integration of land use and transportation within the CBD of an intermediate city: a case study of Tlokwe local municipality, South Africa

Schoeman

2013

WIT Transactions on the Built Environment

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The Tlokwe Local Municipality (Potchefstroom) (secondary node) is located on the N12 corridor between Johannesburg as (primary node) through Kimberley (secondary node) to Cape Town (primary). This location reality implies that some 65% of the inter traffic consists of heavy motor vehicles transporting freight that is passing through the Central Business District (CBD) of Potchefstroom based on origin and destination movement patterns between the high order nodes within the national spatial system. These traffic movement patterns result in traffic congestion that impacts negatively on the intra-traffic flows within the CBD of Potchefstroom and its spatial land use development, consolidation, growth, urban renewal, internal movement patterns and local accessibility.The research includes a literature overview of land use and transportation integration; study of inter-traffic movement patterns (regional) and traffic volumes for intra-traffic movements in terms of modal split; detailed land use and parking surveys within the study area. Inclusive in the research methodology is a quantitative research approach supported by a qualitative research survey as to identify local experience, patterns and perceptions related to the research problem.This elementary modeling and simulation output is supported in the demarcation of the CBD boundary based on land use and transportation integration considerations and related tendencies within the study area. The devised elementary technique will be used to project the future land use patterns

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A Comparative Study of Nine Central Business Districts

Cited by 29 publications

References 0 publications

Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach

Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach

Delimiting central business districts — A physical approach using remote sensing

Integration of land use and transportation within the CBD of an intermediate city: a case study of Tlokwe local municipality, South Africa

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