Research on the Impact of Transit-Oriented Development Method on
Urban Transport
Zixian Xie
a
Southwest Jiaotong-Leeds Joint School, Southwest Jiaotong University, China
Keywords: Transit-Oriented Development, Urban Transport, Traffic Congestion, Transport Equity.
Abstract: In recent years, transit-oriented development (TOD) has gained popularity in urban development practice
because it is thought to have an impact on urban transport. This paper is targeted at researching TOD’s impact
on urban traffic congestion and transport equity as they are the cause of many other developing problems.
The purpose of this paper is to figure out the effectiveness of TOD on tackling traffic congestion and transport
equity and find out the potential develop problems of TOD. This paper concludes that TOD reduce traffic
congestion by changing the travel behaviour of residents. What is more, TOD might affect transport equity
positively because it makes traffic transport affordable and accessible for everyone. However, TOD might
also affect transport equity negatively as it could cause the regional gentrification which is not friendly for
the low-income household. Finally, TOD is expected to be integrated into other concepts to keep up with the
trend of urban transport system. This research helps to clarify the important impacts of TOD and enhance the
sustainable growth of cities.
1 INTRODUCTION
Since the industrial revolution, mechanized vehicles
such as trains, motor vehicles and so on have
conquered the urban transport methods and effected
the urban development. On the one hand, these
transport methods promote and shape the urban
development, on the other hand, it can also cause
several urban development problems, thus transport
is called “a maker and breaker” of cities by Clark
(Clark Colin, 1958).
During the process of urbanization, X-oriented
methods (XOD) have been generated to optimize and
enhance the pattern of urban development and
promote the healthy growth and development of cities,
such as Service-oriented development (SOD),
industry-oriented development (IOD) and so on.
Among them, transit-oriented development (TOD)
has gained popularity and become an important
method in urban development because it is thought to
encourage public transport usage and benefit the
ecosystem. Besides, TOD is also argued to be
efficient in tackling urban development problems
such as traffic congestion, energy consumption and so
on.
a
https://orcid.org/0009-0006-4946-6962
A number of research studies covering different
aspects of TOD have been conducted. Concerning the
land management of TOD, in a case study in Shanghai,
Zekun Li et al. extended the classic "node (traffic) -
place (land use)" model by integrating directional
features that represent the morphological and
functional links between transport and land use. (Li et
al., 2019). Besides, Xiaolei Ma et al. designed an
improved immune-genetic based algorithm to
optimize the land use methods of metro stations (Ma
et al., 2018). Regarding the impact of TOD, Tamakloe
et al. analyzed the TOD efficiency of bus stops and
found that the increase in population, the diversity of
land use, and the number of bus stops around subway
stations all improved TOD efficiency, while the
transfer distance was negatively correlated with the
performance of the stations. (Tamakloe and Hong,
2020). As for the success factors of TOD, Kelly C.
Strong et al. developed a decision-making framework
for the decision-makers by applying analytic
hierarchy process (Strong et al., 2017).
This paper aims to provide a summary of the
literature researching the impact of TOD method on
urban transport. The structure of this paper is
organized as follows: First, the background
86
Xie, Z.
Research on the Impact of Transit-Oriented Development Method on Urban Transport.
DOI: 10.5220/0013234000004558
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management (MLSCM 2024), pages 86-92
ISBN: 978-989-758-738-2
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
information of TOD including the definition and the
classification of TOD is presented. Second, some
problems of current urban transportation including
traffic congestion are introduced. After that, the
impact of TOD on urban transport is indicated. Finally,
this paper concludes the impacts in the conclusion
part, the future of TOD is also discussed.
2 BACKGROUND
INFORMATION OF TOD
2.1 The Concept of TOD
Since 1960s, with the acceleration of industrialization
and economic growth, the family income increased so
cars become affordable for most of the families. With
the widespread application of private cars, car-
oriented development dominates urban development.
The feature of this development method is scattered
forms of settlement. In these settlements, functional
separation can usually be seen, and each functional
area such as residential area, business area and so on
is interconnected by road. This development method
can cause some problems including urban sprawl,
traffic congestion and depopulation of the less
accessible areas. In contrast, TOD set transport
infrastructure as the center of each neighborhood and
try to make an area less busy, congested and chaotic.
The original definition of TOD is concluded by
Peter Calthorpe. In his book, Calthorpe described
TOD as a relatively small-scaled and multi-functional
community including a transit stop and a core
commercial area (Newman et al., 2021). As shown in
Figure 1, a TOD area should include a station, and the
commercial area is supposed to place near the station.
After that, the remaining area of the land is the
residential zone. Even if the word TOD is totally new
at that time, however, its concept has begun to
develop and some similar developing concepts have
inspired and influenced the concept of TOD such as
Ebenezer Howard’s satellite city model which was
enabled by intermunicipal railway, Clarence Perry’s
“neighborhood unit” concept and so on.
In recent years, the concept of TOD has been
widely used in urban planning practice, and in some
cases, TOD concept has even been further developed.
Janet Rodriguez et al. compared and contrasted
different definitions of TOD and categorized them
into 2 main focus: urban development outcomes (e.g.,
land development, real estate development) and
develop process or principle (e.g., sustainable
development) (Jamme et al., 2019). Apart from that,
Liwei Bai et al. tried to combine TOD with the
concept smart city (SC) and developed a new
conceptual framework named ‘smart TOD’ including
cloud layer, tactile layer and foundational layer. The
fundamental layer is composed of 3 zones: traffic core
zone, supporting zone and covering zone (Bai et al.,
2023).
To conclude, TOD can be seen as a large concept
covering different sections such as urbanization,
public transport, lifestyle, etc. Different definitions of
TOD have different focuses. Generally, it can be seen
as a coordination of urban structure around public
transport network. Behind all the definition of TOD
stands the assumption that the travel behavior can be
affected by proper spatial organization.
Figure 1: The concept map of TOD (Wheeler, n.d.).
Research on the Impact of Transit-Oriented Development Method on Urban Transport
87
2.2 TOD Classification
To evaluate and optimize the effect of TOD stations,
various researchers have attempted to classify TOD
according to various features of stations and nearby
areas. Some aspects are usually involved when
conducting the assessment such as density,
accessibility, traffic connection and so on. Among
them, the most widely accepted method is probably
the node-place model Betolini developed. As shown
in Figure 2, this approach can be transformed into a
coordinate system. The horizontal axis represents the
characteristics of a place (the ‘place index’,
describing the land use of the station area) while the
vertical axis represents the accessibility of a node (the
‘node index’, describing the capacity of the transit
station).
Figure 2: Node-place typology model (Bertolini,
1999
).
According to Figure 2, all the transit stations can
be divided into 5 parts theoretically: 1. Stress (S area);
2. Unsustained node (U-N area); 3. Accessibility (Ac
area); 4. Unsustained place (U-P area); 5.
Dependency (D area).
An ideal TOD station is supposed to be in the Ac
area, where in any place of the TOD area, the station
can be reached easily and cheap.
Betolini’s method has been included in a lot of
research. Lyu et al. set Beijing as an example,
accessed and categorized metro stations in the urban
area based on the node-place model and quantified
the degree of orientation of transit and development
components towards each other (Lyu et al., 2016).
Yang et al. found that the node-place model may not
be suitable for cities experiencing rapid development
in both rail transit and urban infrastructure. Therefore,
they incorporated a metric of residents' intentions and
integrated traditional statistical analysis with GIS and
machine learning techniques to establish a new
approach for delineating and identifying site areas.
(Yang and Song, 2021).
3 CURRENT URBAN
TRANSPORT PROBLEMS
There are many urban transport problems, such as
traffic pollution, shortage of parking spaces, etc. In
this part, traffic congestion and transport equity are
discussed. Traffic congestion not only lengthens
travel time and increases the rate of traffic accident,
but also effects citizens’ life quality and has a negative
impact on their mental health. Traffic inequality
exacerbates social inequality and restricts the
popularity and development of low-carbon travel
modes, which is not conducive to the sustainable
development of urban transport. Traffic congestion
and transport equity could be the cause of many other
urban transport problems, so they are discussed in this
part.
3.1 Traffic Congestion
With the rapid development of cities, the urban
population have continuously increased over the past
few decades. This has directly caused the increase of
the demand for travel in cities; thus, traffic congestion
usually occurs. In fact, it is stated that road traffic
congestion has been a major urban transport problem.
Many problems can be caused by traffic congestion,
such as increase in travelling cost, high accident rate,
higher vehicular emissions that leads to air pollution
and so on.
To solve these problems, researchers have been
trying to find the cause of traffic congestion and
categorize them. Isa et al. divided traffic congestions
into 2 parts (Isa et al., 2014). One is non-recurrent
congestion caused by various factors including
natural disasters, traffic accidents and so on, while the
other one is recurrent congestion, which is regular,
caused by traffic flow during peak hour. Pi et al. found
that excessive traffic volume, unexpected events (e.g.,
bad weather, special events), and improperly-set
traffic signal systems are the main causes of traffic
congestion (Pi et al., 2021). A deeper understanding
of these factors can help urban planners to alleviate
traffic congestion more effectively.
3.2 Transport Equity
As public transport is designed for all the residents,
transport equity is the factor that cannot be ignored
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when researching the public transport. Transport
equity means the fairness with which benefits and
costs of transportation are distributed (Litman, 2002).
Residents hope that the transit stations are accessible,
and the transports are affordable; decision-makers
hope that the city’s transport system will benefit all
the stakeholders. In contrast, when costs paid are not
proportional to benefits received, transport inequity
occurs. Even if equality and urban transport have
been discussed a lot, transportation planning practice
today still rarely take equity into account.
Currently, there is no standard equity analyzing
method for transport system. Fortunately, Guo et al.
concluded a three-step framework after doing a
comprehensive literature review (Guo et al., 2020).
As shown in Figure 3, population measurement
(measures the targeted population group of public
transport), cost/benefit measurement (quantifies the
cost and accessibility for each population group) and
inequality measurement (compares the outcomes
among the population living in different places or
population in different classes) are included.
Figure 3: Three-step framework of equity assessment
(Guo et al., 2020).
4 IMPACT OF TOD ON URBAN
TRANSPORT
4.1 Effect Traffic Congestion
Although part 3.2 has introduced some causes of
traffic congestion, fundamentally, a lot of past
research have concluded that urban sprawl could lead
to a high demand for private cars and a low
investment to public transport, as a result, traffic
congestion occurs and even become worse. Newman
et al. has proved that in a more sprawl city, the
ownership of private vehicles and accident rates are
grown while walking rate and the use rate of public
transport are decreased (Newman and Kenworthy,
1998). To avoid urban sprawl, people have been
working to achieve urban compactness. As shown in
Figure 4, TOD is one of the approaches.
Figure 4: Urban
Compactness
Approaches
(Mirzahossein, 2020).
As Figure 1 shows, TOD integrate multiple
function areas including office, residential, and retail
areas into a walkable space, decreasing the resident’s
reliance on cars. Besides, every TOD neighborhood is
supposed to include a transit station. It means that
people in that area might feel comfortable traveling
transit, bicycle or foot. As a result, TOD mode was
thought to be useful in reducing the use of private cars
and reducing traffic congestions.
A number of past research have accessed the way
or the effectiveness of TOD in tackling traffic
congestions. Mahardhika at.al developed a model
based on TOD concept to reduce traffic congestion
(Mahardhika et al., 2021). In this study, factors that
encourage the use of transit modes and improve the
efficiency of the transit system are described through
a system dynamics model (Causal Loop Diagram) to
determine how TOD can solve traffic congestion. By
using a traditional four-step travel demand model,
Zhang stimulated tranaport outcomes in three TOD
plans in the Austin, Texas, where a metro line is under
construction (Zhang, 2010). In this research, he
targeted at the traffic flow in peak hour and founded
that TOD reduces the traffic congestion, however, the
non-TOD area benefits more than the TOD area.
Finally, he concluded that promoting walking or
cycling is important to the success of TOD. Xie did a
comparative case study concerning the TOD
development in Beijing and Shenzhen (Xie, n.d.) and
found that the number of private automobiles in both
Beijing and Shenzhen increased. However, that
cannot prove that the TOD mode in the two cities did
not make sense because Beijing and Shenzhen have
been facing the pressure from population growth for
a long time. Finally, the author concluded that the
TOD model is still useful in solving urban
development problems such as urban sprawl and
traffic congestion.
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To summarize, TOD has been theoretically proved
to be efficient to solve the traffic congestion issues.
However, in urban development practice, whether
TOD makes sense depends on its effect on
discouraging the residents to travel on private cars. If
the citizens living in TOD area stick to travelling by
car, the TOD mode may not be as effective as the
theory have predicted. In conclusion, when studying
TOD effect, travel behavior is certainly discussed
most.
4.2 Effect Transport Equity
Ideally, people expect TOD could bring equity to the
urban area. In a city facing the problem of urban
sprawl, people may rely more on private cars to travel,
so a family who cannot afford a car might have
difficulties living in cities so that the social exclusion
appears. In comparison, people living in the TOD area
have a good accessibility to the public transport, so
they rely less on the private cars. It seems that people
of all classes can enjoy equal service in the TOD area;
however, various research studies have shown that it
may not be true.
Some previous studies have demonstrated the
impact of TOD on housing prices. Xu et al. utilized a
spatial autoregressive model to examine the influence
of rail transit on the value of commercial real estate
in Wuhan City, and determined that the value of
commercial real estate would experience an increase
within a 400-meter radius from the subway station.
(Xu et al., 2016). As land values rise, low-income
households that rely on public transport may be
replaced by middle- and high-income households,
leading to increased socio-economic stratification.
Finally, gentrification resulted from the introduction
of TOD might appear.
Some researchers have found the evidence of this
gentrification. Turbe conducted a case study in
Curitiba and discovered that despite the international
recognition gained by its TOD-based Bus Rapid
Transit (BRT) system, an unequal distribution of
benefits was found in that area. The affluent classes
secured prime real estate along the BRT corridor,
while low-income communities were displaced to the
suburbs. (Turbay et al., 2024). Appleyard et al.
evaluate over 350 light rail stations throughout the US
and found that the livability of the stations is
associated with the quality of life for the residents
(Appleyard et al., 2019). Zhao et al. assessed 133
future TOD sites in the Austin, Texas area using
Node-Place-People (NPP) model and discovered that
even in the TOD stations of relatively balanced Node-
Place attributes, the People-Node and People-Place
dimensions remains imbalanced (Zhao et al., 2024).
In conclusion, TOD is expected to bring equality
to urban transport, however, the gentrification caused
by TOD might increase the inequality. To solve this
problem, more policies targeted at the low-income
residents are supposed to be included during the
process of TOD development practice.
5 FUTURE TOD DEVELOPMENT
AND APPLICATION
Ceder mentioned a research conducted by Morrise in
2016 (Ceder, 2021). In this research, Morise analyzed
three kinds of data and found that cars are parked
about 95% of the time on average. Judging from this
data, private cars might not be an efficient solution of
the urban transport problems. In contrast, public
transport might be the mainstream of urban transport
solutions thanks to its high use rate, relatively cheaper
price, low greenhouse gas emissions, etc. To promote
public transport in future urban planning, TOD might
be the most suitable choice.
To discuss future public transport, its definition
cannot be ignored. In the future, the definition of
public transport might be extended. As Ceder argued,
any form of the travel system available for public use,
including traditional forms such as bus, metro and so
on, and new forms such as autonomous vehicles, is
called public transport. From this perspective of view,
the future TOD have to integrate new technologies or
new concept to keep up the pace of the development
of public transport.
To further improve the interaction between TOD
and public transport, the new concept of smart TOD
which is the integration of TOD and smart city might
be a useful future research direction (Bai et al., 2023).
However, TOD is not all about transport, research is
also done in other perspectives of TOD. As for the
relationship between TOD and land use, Xia et al.
found a new random forest (RF) algorithm to
effectively figure out the potential TOD areas in Hong
Kong (Xia and Zhang, 2022). Such algorithm is a
prospective tool in studying land use for TOD and
promoting sustainable urban development.
Concerning TOD and policy, Newman et al. raised a
notion called ‘Transit Activated Corridor (TAC)’
(Newman et al., 2021). TAC can be seen as the
connection between each TOD area placed along
urban main roads. This research introduces 5 design
principles for designing TAC for the decision makers
to improve the urban transit quality.
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6 CONCLUSION
This paper has studied the impact of TOD method on
urban transport by doing literature review. The focus
of this paper is the TOD’s impact on traffic congestion
and transport equity as they are the cause of many
other problems. Concerning traffic congestion, this
paper found that TOD concept is similar to urban
compactness, whose aim is to reduce traffic
congestion through optimal planning, so TOD could
have positive effects in reducing traffic congestion.
However, if TOD planning cannot change the
residents’ travel behavior, its impact will be greatly
diminished. As for transport equity, this paper found
that TOD might have positive or appositive impact on
the equity. On the one hand, TOD reduces the price
and increases the accessibility of public transport, so
people belonging to different classes can travel
equally. On the other hand, the introduction of TOD
could cause regional gentrification, so actually, only
people in the upper class will enjoy the benefits that
TOD brings. In contrast, low-income households may
face more difficulties in commuting.
In the future, public transport could be the
mainstream of urban transport, and some new public
transport method such as autonomous vehicles will be
integrated into the urban public transport system. To
keep up with this trend, the TOD concept should also
be extended. The future research can focus on the
integration of TOD and other concepts, such as smart
TOD. What is more, the reason why TOD could cause
gentrification needs further research because in some
case studies, gentrification did not appear in the TOD
area.
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