Explorations into the Relationship between Spatial Structure and Spatial Interaction

1980 ◽  
Vol 12 (2) ◽  
pp. 187-201 ◽  
Author(s):  
D A Griffith ◽  
K G Jones
Keyword(s):  
Spatial Structure ◽  
Urban Areas ◽  
Spatial Interaction ◽  
Distance Decay ◽  
City Size ◽  
Spatial Interaction Models ◽  
Geographic Structure ◽  
Journey To Work ◽  
The Impact ◽  
The Relationship

This paper explores the relationship between spatial structure and spatial interaction at the intraurban level. To examine this relationship an experimental framework is designed based on the application of a doubly constrained entropy-type gravity model to journey-to-work data for twenty-four Canadian urban areas. The study demonstrates that distance-decay exponents are strongly influenced by geographic structure and the geometry of origins and destinations. As such, both the influence of map pattern and the friction of distance should be explicitly incorporated into spatial interaction models. The paper also explores the impact of city size and the nature of the economic base of the urban area upon distance-decay exponents.

On the Relationship between Alonso's Theory of Movement and Wilson's Family of Spatial-Interaction Models

1981 ◽  
Vol 13 (2) ◽  
pp. 217-224 ◽  
Author(s):  
J Ledent
Keyword(s):  
Input Data ◽  
Spatial Interaction ◽  
System Of Equations ◽  
Interaction Models ◽  
Spatial Interaction Models ◽  
Standard Family ◽  
Original Contribution ◽  
Standard Models ◽  
The Relationship

This paper compares the system of equations underlying Alonso's theory of movement with that of Wilson's standard family of spatial-interaction models. It is shown that the Alonso model is equivalent to one of Wilson's four standard models depending on the assumption at the outset about which of the total outflows and/or inflows are known. This result turns out to supersede earlier findings—inconsistent only in appearance—which were derived independently by Wilson and Ledent. In addition to this, an original contribution of this paper—obtained as a byproduct of the process leading to the aforementioned result—is to provide an exact methodology permitting one to solve the Alonso model for each possible choice of the input data.

scholarly journals Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China

2021 ◽  
Vol 18 (1) ◽  
pp. 311
Author(s):  
Fengrui Jing ◽  
Lin Liu ◽  
Suhong Zhou ◽  
Jiangyu Song ◽  
Linsen Wang ◽  
...  
Keyword(s):  
Social Factors ◽  
Urban Areas ◽  
Fear Of Crime ◽  
Green Space ◽  
Learning Approach ◽  
Perceived Safety ◽  
Street View ◽  
The Impact ◽  
The Relationship ◽  
Physical Incivilities

Previous literature has examined the relationship between the amount of green space and perceived safety in urban areas, but little is known about the effect of street-view neighborhood greenery on perceived neighborhood safety. Using a deep learning approach, we derived greenery from a massive set of street view images in central Guangzhou. We further tested the relationships and mechanisms between street-view greenery and fear of crime in the neighborhood. Results demonstrated that a higher level of neighborhood street-view greenery was associated with a lower fear of crime, and its relationship was mediated by perceived physical incivilities. While increasing street greenery of the micro-environment may reduce fear of crime, this paper also suggests that social factors should be considered when designing ameliorative programs.

scholarly journals Visualizing aggregate movement in cities

2018 ◽  
Vol 373 (1753) ◽  
pp. 20170236 ◽  
Author(s):  
Michael Batty
Keyword(s):  
Choice Theory ◽  
Spatial Interaction ◽  
Spatial Interaction Models ◽  
Making Sense ◽  
Human Movements ◽  
Interdisciplinary Approaches ◽  
Flow Systems ◽  
Generic Class ◽  
Journey To Work ◽  
Short Time

We argue here that despite the focus in cities on location and place, it is increasingly clear that a requisite understanding of how cities evolve and change depends on a thorough understanding of human movements at aggregate scales where we can observe emergent patterns in networks and flow systems. We argue that the location of activities must be understood as summations or syntheses of movements or flows, with a much clearer link between flows, activities and the networks that carry and support them. To this end, we introduce a generic class of models that enable aggregated flows of many different kinds of social and economic activity, ranging from the journey to work to email traffic, to be predicted using ideas from discrete choice theory in economics which has analogies to gravitation. We also argue that visualization is an essential construct in making sense of flows but that there are important limitations to illustrating pictorially systems with millions of component parts. To demonstrate these, we introduce a class of generic spatial interaction models and present two illustrations. Our first application is based on transit flows within the high-frequency city over very short time periods of minutes and hours for data from the London Underground. Our second application scales up these models from districts and cities to the nation, and we demonstrate how flows of people from home to work and vice versa define cities and related settlements at much coarser scales. We contrast this approach with more disaggregate, individual studies of flow systems in cities that we consider an essential complement to the ideas presented here. This article is part of the theme issue ‘Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour’.

The Political Economy of Land and Urban Development

2018 ◽  
pp. 343-359
Author(s):  
Kudzanai Bvochora ◽  
Bernard Kusena
Keyword(s):  
Urban Areas ◽  
Natural Increase ◽  
Rapid Expansion ◽  
The Political ◽  
Social Infrastructure ◽  
The World ◽  
Urban Settlements ◽  
Development Processes ◽  
The Impact ◽  
The Relationship

Many urban areas which have sprouted around the world owe their economic and social origins in growth points and market centers. Situated about 15 kilometers south-east of Harare, Epworth became one of Zimbabwe's largest peri-urban settlements due to the combined effect of demographic, political, and socioeconomic factors, among others. This chapter interrogates the various forces behind this unprecedented population growth. It demonstrates the relationship between Epworth's ballooning population and the various pull and push factors of urbanization. For example, immigration contributed immensely to this rise, although natural increase in births also contributed fairly significantly. This chapter examines the impact of population dynamics and other variables that were linked to the rapid expansion of Epworth on the overall development processes, arguing that economic and social infrastructure became conditioned by such dynamics.

scholarly journals Climate Adaptation Plans in the Context of Coastal Settlements: The Case of Portugal

2020 ◽  
Vol 12 (20) ◽  
pp. 8559
Author(s):  
Francesca Dal Cin ◽  
Martin Fleischmann ◽  
Ombretta Romice ◽  
João Pedro Costa
Keyword(s):  
Urban Areas ◽  
Essential Role ◽  
Climate Adaptation ◽  
Coastal Planning ◽  
Sea Levels ◽  
Response Plan ◽  
Rising Sea Levels ◽  
The Impact ◽  
The Relationship

The impact of sea-level rise on coastal towns is expected to be a major challenge, with millions of people exposed. The climate-induced risk assessment of coastal areas subject to flooding plays an essential role in planning effective measures for adaptation plans. However, in European legislation, as well as in the regional plans adopted by the member states, there is no clear reference to urban settlement, as this concept is variable and difficult to categorise from the policy perspective. This lack of knowledge makes it complicated to implement efficient adaptation plans. This research examines the presence of the issue in Portugal’s coastal settlements, the European coastal area most vulnerable to rising sea levels, using the case of seashore streets as the most exposed waterfront public urban areas. Using the morphometric classification of the urban fabric, we analyse the relationship between urban typology and legislative macro-areas aimed at providing integrated adaptation plans. The study suggests that there is only a minimal relationship between the proposed classification and the geographical zones currently identified in coastal planning policies. Such incongruence suggests the need for change, as the policy should be able to provide a response plan tailored to the specificities of urban areas.

Empirically Derived Deterrence Functions for Maximum Performance Spatial Interaction Models

1977 ◽  
Vol 9 (9) ◽  
pp. 1067-1079 ◽  
Author(s):  
S Openshaw ◽  
C J Connolly
Keyword(s):  
Goodness Of Fit ◽  
Spatial Interaction ◽  
Model Performance ◽  
Interaction Model ◽  
Theoretical Research ◽  
Maximum Performance ◽  
Interaction Models ◽  
Spatial Interaction Models ◽  
The Relationship ◽  
Descriptive Models

The relationship between the choice of deterrence function and the goodness of fit of a singly constrained spatial interaction model is examined as a basis for improving model performance. The results show that there is no significant improvement in model goodness of fit until a deterrence-function characterisation is used which is based on a family of functions, with the spatial domain of each function being determined in an approximately optimal manner. These findings are consistent with theoretical research on microlevel trip behaviour and can be used to identify descriptive models which possess maximum levels of performance.

Are large urban areas sustainability champions?: A Double Delinking Analysis of Environmental Performance of Global Cities

2019 ◽  
Vol 15 (4) ◽  
pp. 205-223
Author(s):  
SURENDRA SINGH
Keyword(s):  
Environmental Performance ◽  
Urban Areas ◽  
City Size ◽  
Kuznets Curve ◽  
Data Envelopment ◽  
Global Cities ◽  
Large Cities ◽  
Efficient Data ◽  
The One ◽  
The Relationship

The aim of the present study is to investigate the relationship between both city size and welfare or prosperity on the one hand, and environmental-climatological outcomes on the other hand. This will be done by examining this intriguing relationship for a sample of 40 large cities in our world (with different size categories and located in countries with different welfare levels). Based on detailed statistical data on a multiplicity of relevant characteristics of these cities (stemming from the GPCI metropolitan data base of the Mori Memorial Foundation (2016)), we have used a super-efficient Data Envelopment Analysis (SE- DEA) to analyse the relative economic-environmental efficiency outcomes of distinct classes of global cities, so as to test the above mentioned double proposition, coined here double delinking or the double Kuznets curve phenomenon.

Spatial Flows and Spatial Patterns

1984 ◽  
Vol 16 (4) ◽  
pp. 529-543 ◽  
Author(s):  
A S Fotheringham
Keyword(s):  
Spatial Structure ◽  
Spatial Patterns ◽  
Spatial Interaction ◽  
A Priori ◽  
Parameter Estimates ◽  
Spatial Interaction Models ◽  
Significant Bias ◽  
Spatial System ◽  
Decay Parameters ◽  
Spatial Flows

The misspecification of gravity spatial interaction models has recently been described by the author. The bias in parameter estimates that results from such misspecification appears to produce the ‘map pattern effect’ or ‘spatial structure bias’ in estimated distance-decay parameters. A further aspect of the misspecification bias in gravity parameter estimates is explored here. The severity of the bias is shown to vary in a predictable manner with variations in spatial structure. In particular, the bias is shown to be dependent upon the pattern of accessibility that exists within a spatial system. The relevant aspects of this pattern are discussed for intraurban and interurban (or interregional) flow matrices. It is shown that from an examination of the spatial structure of centres in a spatial system it is possible, a priori, to identify whether significant bias will arise in the calibration of a gravity model. Certain configurations of centres are shown theoretically to produce maximal bias. The author thus answers the question, “why do gravity parameter estimates appear to be biased in some systems but not in others?”

Misspecification in Spatial Interaction Models: Further Results

1985 ◽  
Vol 17 (5) ◽  
pp. 673-678 ◽  
Author(s):  
M J Baxter
Keyword(s):  
Spatial Structure ◽  
Spatial Interaction ◽  
Parameter Estimates ◽  
Interaction Models ◽  
Spatial Interaction Models

Commonly used models for data on flows between sets of origins and destinations may often be misspecified because of a failure to account for the influence of spatial structure and other factors that affect flows. General expressions for the bias in parameter estimates that arises from such misspecification are derived for the most usual methods of estimation.

scholarly journals Evaluating the Influence of Urban Morphology on Urban Wind Environment Based on Computational Fluid Dynamics Simulation

2020 ◽  
Vol 9 (6) ◽  
pp. 399
Author(s):  
Chia-An Ku ◽  
Hung-Kai Tsai
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Urban Areas ◽  
Urban Morphology ◽  
Dynamics Simulation ◽  
Wind Environment ◽  
Study Region ◽  
Wind Speeds ◽  
The Impact ◽  
The Relationship

Due to urbanization around the world, people living in urban areas have been suffering from a series of negative effects caused by changes in urban microclimate, especially when it comes to urban heat islands (UHIs). To mitigate UHIs, management of urban wind environments is increasingly considered as a crucial part of the process. Computational fluid dynamics (CFD) simulation of wind fields has become a prevailing method to explore the relationship between morphological factors and wind environment. However, most studies are focused on building scale and fail to reflect the effects of comprehensive planning. In addition, the combined influence of different morphological factors on wind environment is rarely discussed. Therefore, this study tries to explore the relationship between urban morphology and wind environment in a new-town area. CFD method was applied to simulate the wind field, and 11 scenarios based on criteria according to existing literature, planning regulations and local characteristics were developed. The simulation results from different scenarios show that the impact of the five selected factors on wind speeds was non-linear, and the impact varied significantly among different areas of the study region. Simulation of the differences in regional wind speeds among different planning scenarios can provide strong decision-making support.

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