No description available.

This report explores the long-term demographic changes occurring near Dallas Area Rapid Transit (DART) stations. The study area chosen to employ the shift share method consists of two segments of DART stations along the Red Line in Dallas, Texas. The downtown DART study area consists of census tracts surrounding light rail stations: Cedars, Convention Center, Union Station, West End, Akard, St. Paul, and Pearl, and the DART suburban study area consists of census tracts around the following stations: City Place, Mockingbird Station, Lovers Lane, Park Lane, Walnut Hill, Forest Lane, and LBJ/Central. Using the shift share method with demographic data obtained through the US Census Bureau from 1990 and 2005-2009 American Community Survey estimates, this analysis illustrates demographic changes over time as a result of light rail transit investments. The results indicate that demographic characteristics of residents have changed considerably since the introduction of light rail in Dallas. Although the growth trends in the DART neighborhoods are comparable to the growth trends of the city, the DART census tracts on average have experienced greater increases in population, attracted an influx of highly educated residents with higher household incomes, and experienced significant increases in high-density development surrounding transit stations. For the most part, growth has been stronger locally than on a citywide level, and these trends have occurred most noticeably in the downtown DART neighborhoods, where transit and financial measures have sparked a development boom in which total population and housing units have grown by the hundredth and even thousandth percentile. Additionally, these demographic changes create unintended consequences that affect people of varying socio-economic statuses. Although the shift of highly educated, wealthier individuals in neighborhoods creates a greater social mix among residents, lower-income residents of these transit neighborhoods quickly get priced out of their neighborhoods. / text

abstract: Urban planning in the neoliberal era is marred by a lack of public engagement with urban inhabitants. Henri Lefebvre’s ‘right to the city’ theory is often treated as a way to empower disenfranchised urban inhabitants who are lacking control over the urban spaces they occupy. Though the right to the city has seen a resurgence in recent literature, we still lack a deep understanding of how right to the city movements work in practice, and what the process looks like through the lens of the everyday urban inhabitant. This dissertation seeks to fill these gaps by examining: 1) how a minority-led grassroots movement activates their right to the city in the face of an incoming light rail extension project in South Phoenix, Arizona, USA, and 2) how their right to the city movement demonstrates the possibility of urban society beyond the current control of neoliberalism. Through the use of participant observation, interviews, and media analysis, this case reveals the methods and tactics used by the group to activate their right to the city, the intra-and inter-group dynamics in the case, and the challenges that ultimately lead to the group’s demise.Tactics used by the group included protesting, organizing against city council, and creating a ballot initiative. Intra-group dynamics were often marred by conflicts over leadership and the acceptance of outside help, while inter-group conflicts erupted between the group, politicians, and pro-light rail supporters. The primary challenge to the group’s right to the city movement included neoliberal appropriation by local politicians and outside political group. By possessing limited experience, knowledge, and resources in conducting a right to the city movement, the grassroots group in this case was left asking for help from neoliberal supporters who used their funding as a way to appropriate the urban inhabitant’s movement. Findings indicate positive possibilities of a future urban society outside of neoliberalism through autogestion, and provide areas where urban planners can improve upon the right to the city. If urban planners seek out and nurture instances of the right to the city, urban inhabitants will have greater control over planning projects that effect their neighborhoods. / Dissertation/Thesis / Doctoral Dissertation Urban Planning 2019

The main objective of this work is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process in Turkey. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing samples with an error of 2.32%. On the other hand, artificial neural network estimated the cost with 5.76% error, which is slightly higher than the regression error. As a result, two successful cost estimation models have been developed within the scope of this study. These models can be beneficial while taking the decision in the tender phase of projects that includes trackworks.

Many cities today are contemplating major investments in rail transit systems, especially Light Rail Transit (LRT), to address two significant planning issues which have characterized North American metropolitan growth patterns: increasing automobile use and decentralizing population and employment. Proponents of these systems argue that by building rail transit, travel behaviour and land use patterns can be changed. The experience in cities which have built these systems is mixed, but transportation and land use outcomes typically go hand-in-hand: San Diego, Denver, and Portland have increased transit ridership and intensification in station areas, whereas Buffalo and Cleveland have had minimal change occur as a result of investments in LRT. Calgary, Alberta presents an interesting case as its LRT system, first opened in 1981, generates tremendous ridership but has had relatively modest land use change in station areas. This thesis aims to understand why intensification has been so marginal at many stations, and to uncover what are the unique facets of Calgary???s experience which shaped this outcome. The approach taken is to examine the evolution of the City of Calgary???s planning philosophy towards transportation and land use since the need for rapid transit was first identified in 1966. This evolution is also placed within the context of the particularly severe cyclical economic forces that influenced both the city???s growth and policy planning approaches taken to manage this growth. The research finds that the combination of transportation and land use policy, in conjunction with market forces, which existed during the design, construction and operation of the first three LRT lines favoured intensification in Calgary???s downtown and low-density decentralization in suburban areas. However, the evolution of planning policy and market forces indicate that this less likely to be true in the future, both in the near and long term. The City is transitioning from a highly centralized mono-centric city to a poly-centric and increasingly multi-modal metropolitan region. The LRT, and other transit service, will be a key means of facilitating and managing this transformation.

Thesis (M. Sc.)--University of Hong Kong, 1993. / "Workshop report." Two maps inserted in pockets. Includes bibliographical references (leaves 100-102).

abstract: Transportation infrastructure in urban areas has significant impacts on socio-economic activities, land use, and real property values. This dissertation proposes a more comprehensive theory of the positive and negative relationships between property values and transportation investments that distinguishes different effects by mode (rail vs. road), by network component (nodes vs. links), and by distance from them. It hypothesizes that transportation investment generates improvement in accessibility that accrue only to the nodes such as highway exits and light rail stations. Simultaneously, it tests the hypothesis that both transport nodes and links emanate short-distance negative nuisance effects due to disamenities such as traffic and noise. It also tests the hypothesis that nodes of both modes generate a net effect combining accessibility and disamenities. For highways, the configuration at grade or above/below ground is also tested. In addition, this dissertation hypothesizes that the condition of road pavement may have an impact on residential property values adjacent to the road segments. As pavement condition improves, value of properties adjacent to a road are hypothesized to increase as well. A multiple-distance-bands approach is used to capture distance decay of amenities and disamenities from nodes and links; and pavement condition index (PCI) is used to test the relationship between road condition and residential property values. The hypotheses are tested using spatial hedonic models that are specific to each of residential and commercial property market. Results confirm that proximity to transport nodes are associated positively with both residential and commercial property values. As a function of distance from highway exits and light rail transit (LRT) stations, the distance-band coefficients form a conventional distance decay curve. However, contrary to our hypotheses, no net effect is evident. The accessibility effect for highway exits extends farther than for LRT stations in residential model as expected. The highway configuration effect on residential home values confirms that below-grade highways have relatively positive impacts on nearby houses compared to those at ground level or above. Lastly, results for the relationship between pavement condition and residential home values show that there is no significant effect between them. Some differences in the effect of infrastructure on property values emerge between residential and commercial markets. In the commercial models, the accessibility effect for highway exits extends less than for LRT stations. Though coefficients for short distances (within 300m) from highways and LRT links were expected to be negative in both residential and commercial models, only commercial models show a significant negative relationship. Different effects by mode, network component, and distance on commercial submarkets (i.e., industrial, office, retail and service properties) are tested as well and the results vary based on types of submarket. Consequently, findings of three individual paper confirm that transportation investments mostly have significant impacts on real-estate properties either in a positive or negative direction in accordance with the transport mode, network component, and distance, though effects for some conditions (e.g., proximity to links of highway and light rail, and pavement quality) do not significantly change home values. Results can be used for city authorities and planners for funding mechanisms of transport infrastructure or validity of investments as well as private developers for maximizing development profits or for locating developments. / Dissertation/Thesis / Doctoral Dissertation Geography 2016

The last couple of decades have seen a renewed interest among urban transportation planners in light rail transit (LRT) systems in large cities across the United States (US) as a possible means of addressing negative transportation externalities such as congestion and greenhouse gas emissions while encouraging the use of public transit [1]. LRT infrastructure investments have also gained traction as a means of revitalizing decayed urban centres because transportation infrastructure developments are highly correlated with economic growth in surrounding areas [2]. <div>The primary objective of this dissertation is to examine the externalities associated with LRTs during its the construction and operations phases. In particular, three areas of concern are addressed: (1) The effect that proximity to LRT stations </div><div>have on nearby single family residences (SFRs) throughout the LRT life-cycle; (2) the effect that directional heterogeneity between LRT stations, the central business district (CBD), and the SFR; and (3) the longer term effects on nearby populations due to LRT operations. To answer the first two research objectives, quasi-experimental spatial econometric models are used; to address the last objective, a-spatial fixed effects panel models are developed. The analyses primarily relies on SFR sales data from 2001-2019, publicly available geographical information systems data, as well as demographic data from eight 5-year American Communities Surveys (ACS). Charlotte, NC, a medium-sized US city, is chosen as the site of analysis, both due to the relative novelty factor of its LRT in the region and data availability.</div><div>The results show that SFR values are positively associated with proximity to LRT stations in the announcement and construction phases but negatively associated with proximity to stations once the LRT is operational. Additionally, potential homeowners with prior experience with LRT do not behave any differently than potential homeowners with no prior experience with LRT in terms of willingness to pay to live a certain distance from LRT stations. Further, directional heterogeneity is shown to be a statistically significant source factor in deciding the extent to which house-buyers are willing to pay to be near LRT stations. Lastly, distance from LRT stations are found to have no statistically significant effect on changes in the racial composition of nearby areas but have significant positive effects on educational attainment and average median incomes of residents living in nearby areas over time. </div><div>The contributions of this research are twofold. First, in addition to highlighting the need to use spatial econometric methods when analyzing the effect that LRTs have on surrounding real estate markets, this research provides a framework by which directional heterogeneity can be incorporated into these analyses. Second, this research adds to the existing pool of knowledge on land use externalities of LRT through incorporating the life-cycle of LRT from announcement to operations. Furthermore, this research examines the effects that LRT have on surrounding populations in transit adjacent areas to provide a look at the broader effects of LRT over time. </div><div>A major challenge in the analyses conducted in this dissertation is its reliance on SFR sales data. Urban areas near LRT may contain additional land uses. In order to fully determine LRT’s effects on its surrounding area, one should examine the proximity effects on all land use types. Furthermore, LRT stations and rail lines are assumed exogenous, which may not be the case as public hearings and town halls during the planning phase may influence stations’ locations. Future research should seek to understand how the circumstances surrounding the planning process could indirectly affect the socio-demographic characteristics in transit adjacent areas over time. Finally, additional research is needed to better understand the extent to which LRT affects urban intra- and inter-migration. Knowing the population repulsion and attraction of LRT can help planners design facilities to better serve the public.</div>

This thesis conducts research on the light rail transit (LRT)-line Tvärbanan in Stockholm regarding punctuality of dwell time (DT), focusing on the influence passengers have on the mean and the variance of DT. The eight major stops during rush-hours are analyzed through a combination of quantitative and qualitative analysis. DT is proved to be affected by many factors in a complex setting, with vast differences between stops and between train types, proving that the infrastructure, the platform design, and the train design is important factors. The overall core problem is the non-uniformity of passengers, which is caused mainly by (1) the platform layout, especially the locations of entrances/exits, (2) placement of the train doors in relation to platform obstacles, (3) connections to other means of public transportation, and (4) the overall placement of the entrances/exits at other stops in the same direction. Stop-specific measures and suggestions of overall improvements are proposed in order to reduce the mean and the variation of DT. / Detta examensarbete undersöker hur uppehållstid påverkas av passagerare på light rail-linjen Tvärbanan i Stockholm, vilket har haft en historia av höga och oförutsägbara uppehållstider. De åtta största hållplatserna under rusningstid är analyserade genom en kombination av kvalitativa och kvantitativa studier. Uppehållstiden beror på många faktorer i en complex miljö, där stora skillnader finns mellan de olika hållplatserna och de olika tågtyperna, vilket är ett bevis att infrastrukturen, plattformsdesignen och tågdesignen är viktiga faktorer. Grundproblemet är att passagerare är ojämnt fördelade på plattformarna, vilket är orsakat av (1) plattformsdesignen, speciellt vart ingångar/utgångar är placerade, (2) vart tågdörrarna stannar i relation till objekt på plattformen, (3) förbindelser till annan kollektivtrafik och (4) hur ingångar/utgångar är placerade över hela linjen i samma riktning. Övergripande och hållplatsspecifika åtgärder för att minimera uppehållstiden presenteras i rapporten.

Light Rail Transit (LRT) has been getting more attention in U.S. cities due to its socio-economic benefits, such as reducing pollution and congestion, as well as promoting regional economic development. However, huge capital costs remain an obstacle to the construction of a new light rail system. For this reason, cities in the planning phases of LRT want to use value capture tools to finance transit construction and operation. In theory, any improvement in a transportation structure that increases accessibility and reduces transportation cost can be capitalized into property values in an area. In turn, governments levy taxes on a portion of the additional value of adjacent properties. This study, however, aims to empirically examine whether value capture is possible in the recession when property and land values continue to decrease. The study uses the case of the DART Green Line, which started to run in 2009 just after a financial crisis in the U.S. The 5745 residential parcels are analyzed with using a hedonic price model in order to detect the Green Line’s influence on residential values before and after the recession. To enhance the proficiency of the regression, this study includes several structure and neighborhood characteristics. The statistical results found the Green Line’s benefits on residential values both in the pre-Green Line period (before the recession) and the post-Green Line period (during the recession). It is noteworthy there are still positive influences of transit accessibility on residential values even in the unstable housing market, although the magnitude of the variable has diminished compared to the pre-Green Line period. / text