Abstract:
The thesis evaluates accessibility by computing centrality measures of the street
network and examines the applicability of accessibility values in describing the
movement pattern, land use distribution and land values variation for the Bhopal
city, India. As spatial planners, we define and control the urban form, but our
plans fail to take into consideration the impacts of urban form on the individuals.
The thought of this thesis initiated from a question “can urban form affect
movement pattern and distribution of functions within an urban spatial structure, if
affirmative, then in what manner?”. From generations, various conceptual and
empirical studies have attempted to quantify, model and formulate how the built
environment is valued by people. Studies lack to quantify urban morphology
probably due to lack of precise methods and techniques. Urban morphology
entails five systems viz., natural system, street system, urban tissue, building
system and plot system. Street system defines the shape of the urban structure
and is associated with spatial accessibility. Streets act as channels to access
places and hence, individuals decide on and select streets in order to reach their
destination, thereby involving human cognition which guides the overall
movement. In turn, accessibility is associated with attractiveness of the place,
more accessible the place is more is its attracting potential, hence determine the
functional use and market potential of the place. Therefore, the focus of this
thesis is what information can be extracted from the street network which can
explicate the arrangement of spaces, functional use, density and pattern of
movement within the urban spatial structure.
Land use planning has traditionally focused on design, physical measures and
narrowly defined environmental effects, the decision that planners make, have an
economic impact as well, which is generally not taken into account while
formulating planning proposals resulting in land-use deviations, non-effective
performance of land use with respect to transportation and etcetera. Witnessing
the problem of sprawl, ribbon development and associated issues for example
escalating trip lengths, pollution levels in Indian cities there is need to integrate
land use and transportation in order to develop robust, dynamic and efficient
cities. There is lack of methodology which can provide a distinct picture of
interaction amongst the systems and dynamics in an urban structure which may
be helpful in preparing development plans and mobility plans. Therefore, there is
need of methodology which considers the transportation system, economic
aspects and functional dimension of space, which further, may be employed for
land use zoning.
In order to achieve the stated aim, the study was divided in to certain parts,
purpose or milestone of each part may be regarded as an objective, which are
encapsulate below:
1. To identify suitable method and calculate accessibility value associated
with each segment of the selected city. Also, compute a ward level
accessibility index for the sub-area selection within selected city.
2. To observe and analyse vehicular movement pattern in the identified subarea and determine its relationship with accessibility values.
3. To observe and analyse land use distribution and land value pattern with
respect to computed accessibility indices and also, establish relationship
between land value and accessibility values and to suggest the application
of the obtained relationship in urban planning.
The formulation of objectives was followed by the review of various literary works
to understand concepts and notions related to urban form, land use dynamics,
land valuation, accessibility, space syntax theory, graph theory and methods for
measuring accessibility using network measures. The dataset required and
method selection for calculation of centrality indices was the outcome of the
literature review.
The data sets were then compiled from both primary and secondary sources in
order to accomplish the objectives. The quantitative method of analysis include
multiple centrality assessment (MCA) for the calculation of network centrality
indices. Other analysis and calculations include statistical analysis such as
correlation, regression and probability analysis. The study involves exhaustive
use of ArcGIS software along with python coding in order to calculate network
centrality indices.
The multiple centrality assessment involved calculation of two indices that is
closeness and betweeness for the entire Bhopal city. The closeness values
highlighted the easily accessible areas and betweeness values represented the
traffic attraction on the individual street segments. Remarkably, the betweeness
values highlighted the major traffic corridors of Bhopal which were then crosschecked from draft comprehensive city mobility plan and development plan of the
city. Using ArcGIS software package, ward level accessibility was computed for
the entire Bhopal city with the help of computed centrality indices, based on
which three wards were selected to carry out objective-2 and objective-3. The
primary data of traffic volume and building use was collected and compiled for the
selected wards which was then used in analysing the relationship between the
accessibility, movement pattern and land use distribution. The circle rates (or
collector rates) were marked at both levels city as well as ward level to identify
the relationship between centrality measure and land value variation in Bhopal
city.
The results of composite accessibility index derived from centrality indices
highlighted the Central Business District (CBD) as most accessible areas of
Bhopal city which includes M.P.Nagar, old Subhash nagar, Old city, New Market
etcetera. A high positive correlation was observed between „betweeness‟
centrality index and vehicular traffic volume on the street segments. In case of
land use distribution, it was observed that the probability of having a commercial
or mixed use increases with increase in betweeness centrality index value and
increase in residential use as with gradual decrease in index value. The
relationship of closeness index in explaining the two above stated aspects was
insignificant. Also, in case of land values the spatial variation of land values at a
city level was explained by closeness index and variation at ward level were
explained by betweeness index, with correlation coefficient being 0.81 and 0.84
respectively.
The results showed that street network, as an element of urban form was
competent in explaining the major aspects of the urban spatial structure.
Therefore, in spatial planning, the derived relationship can prove to be useful in
following sectors:
Using the derived relationship between centrality index and vehicular
volume, the traffic volume on street can be estimated and accordingly the
width, services and infrastructure may be provided on streets.
Land use zoning based on accessibility values to integrate transportation
and land use can be helpful for spatial planners to generate a land use
scenario.
The relationship between land value variation and indices was significant,
hence it may be used as an alternative approach in determining the circle
rates.
The study concludes on the note that network measure of accessibility are
powerful indicators in explaining activities within the urban structure. Hence,
should be incorporated in the process of preparation of development plan and
formulation of development control regulation. The measure can be useful for
planners to understand the dynamics of the spatial structure. The methods
developed in this research offers promise for transport planning, land use
planning applications in Indian context which is urgently called for. The research
has contributed to with a robust, dynamic planning tool that will guide spatial
planners in justifying their planning decisions in designing policies for urban