scholarly journals Does High-Speed Rail Influence Urban Dynamics and Land Pricing?

2020 ◽  
Vol 12 (7) ◽  
pp. 3012 ◽  
Author(s):  
Panrawee Rungskunroch ◽  
Yuwen Yang ◽  
Sakdirat Kaewunruen

At present, many countries around the world have significantly invested in sustainable transportation systems, especially for high-speed rail (HSR) infrastructures, since they are believed to improve economies, and regenerate regional and business growth. In this study, we focus on economic growth, dynamic land use, and urban mobility. The emphasis is placed on testing a hypothesis about whether HSRs can enable socio-economic development. Real case studies using big data from large cities in China, namely Shanghai province and Minhang districts, are taken into account. Socio-technical information such as employment rate, property pricing, and agglomeration in the country’s economy is collected from the China Statistics Bureau and the China Academy of Railway Sciences for analyses. This research aims to re-examine practical factors resulting from HSR’s impact on urban areas by using ANOVA analysis and dummy variable regression to analyse urban dynamics and property pricing. In addition, this study enhances the prediction outcomes that lead to urban planning strategies for the business area. The results reveal that there are various effects (i.e., regional accessibility, city development plans, and so on) required to enable the success of HSR infrastructure in order to enrich urban dynamics and land pricing. This paper also highlights critical perspectives towards sustainability, which are vital to social and economic impacts. In addition, this study provides crucial perspectives on sustainable developments for future HSR projects.

Author(s):  
Fábio C. Barbosa

The increasing movement of people and products caused by modern economic dynamics has burdened transportation systems. Both industrialized and developing countries have faced transportation problems in urbanized regions and in their major intercity corridors. Regional and highway congestion have become a chronic problem, causing longer travel times, economic inefficiencies, deterioration of the environment and quality of life. Congestion problems are also occurring at airports and air corridors, with similar negative effects. In the medium distance travel market (from 160 up to 800 km), too far to drive and too short to fly, High Speed Rail (HSR) technology has emerged as a modern transportation system, as it is the most efficient means for transporting large passenger volumes with high speed, reliability, safety, passenger comfort and environmental performance. HSR system’s feasibility will depend on its capacity to generate social benefits (i.e. increased mobility rates, reduced congestion, capacity increase and reduced environmental costs), to be balanced with the high construction, maintenance and operational costs. So, it is essential to select HSR corridors with strong passenger demands to maximize these benefits. The first HSR line was Japan’s Shinkansen service, a dedicated HSR system, between Tokyo and Osaka, launched in 1964, which is currently the most heavily loaded HSR corridor in the world. France took the next step, launching the Train à Grande Vitesse (TGV), in 1981, with a dedicated line with shared-use segments in urban areas, running between Paris and Lyon. Germany joined the venture in the early 1990 with the Inter City Express – ICE, with a coordinated program of improvements in existent rail infrastructure and Spain, in 1992, with the Alta Velocidad Espanola – AVE, with dedicated greenfield lines. Since then, these systems have continuously expanded their network. Currently, many countries are evaluating the construction of new HSR lines, with European Commission deeming the expansion of the Trans European Network as a priority. United Kingdom, for example, has just awarded construction contracts for building the so called HS2, an HSRexpanded line linking London to the northern territory. China, with its dynamic economic development, has launched its HSR network in 2007 and has sped up working on its expansion, and currently holds the highest HSR network. United States, which currently operates high speed trainsets into an operationally restricted corridor (the so called Northeast Corridor (NEC), linking Washington, New York and Boston), has also embarked into the high speed rail world with the launch of Californian HSR Project, currently under construction, aimed to link Los Angeles to San Francisco mega regions, the ongoing studies for Texas HSR project, to connect Dallas to Houston, into a wholly privately funding model, as well as studies for a medium to long term NEC upgrade for HSR. Australia and Brazil are also seeking to design and launch their first HSR service, into a time consuming process, in which a deep discussion about social feasibility and affordability is under way. This work is supposed to present an overview of HSR technology worldwide, with an assessment of the main technical, operational and economical features of Asian and European HSR systems, followed by a snapshot of the general guidelines applied to some planned HSR projects, highlighting their demand attraction potential, estimated costs, as well as their projected economic and environmental benefits.


2020 ◽  
Vol 46 (3) ◽  
pp. 379-397
Author(s):  
Chunyang Wang

This paper measures the spatial evolution of urban agglomerations to understand be er the impact of high-speed rail (HSR) construction, based on panel data from fi ve major urban agglomerations in China for the period 2004–2015. It is found that there are signi ficant regional diff erences of HSR impacts. The construction of HSR has promoted population and economic diff usion in two advanced urban agglomerations, namely the Yang e River Delta and Pearl River Delta, while promoting population and economic concentration in two relatively less advanced urban agglomerations, e.g. the middle reaches of the Yang e River and Chengdu–Chongqing. In terms of city size, HSR promotes the economic proliferation of large cities and the economic concentration of small and medium-sized cities along its routes. HSR networking has provided a new impetus for restructuring urban spatial systems. Every region should optimize the industrial division with strategic functions of urban agglomeration according to local conditions and accelerate the construction of inter-city intra-regional transport network to maximize the eff ects of high-speed rail across a large regional territory.


Author(s):  
Karolin Kokaz ◽  
Peter Rogers

Recent economic expansion and population growth in developing countries have had a big impact on the development of large cities like Delhi, India. Accompanied by Delhi’s rapid spatial growth over the last 25 years, urban sprawl has contributed to increased travel. The vehicle fleet projected at current growth rates will result in more than 13 million vehicles in Delhi in 2020. Planning and managing such a rapidly growing transport sector will be a challenge. Choices made now will have effects lasting well into the middle of the century. With such rapid transport growth rates, automobile emissions have become the fastest increasing source of urban air pollution. In India, most urban areas, including Delhi, already have major air pollution problems that could be greatly exacerbated if growth of the transport sector is managed unwisely. The transport plans designed to meet such large increases in travel demand will have to emphasize the movement of people, not vehicles, for a sustainable transportation system. Therefore, a mathematical model was developed to estimate the optimal transportation mix to meet this projected passenger-km demand while satisfying environmental goals, reducing congestion levels, and improving system and fuel efficiencies by exploiting a variety of policy options at the minimum overall cost or maximum welfare from transport. The results suggest that buses will continue to satisfy most passenger transport in the coming decades, so planning done in accordance with improving bus operations is crucial.


Author(s):  
X. Huang ◽  
J. Tan

Commutes in urban areas create interesting travel patterns that are often stored in regional transportation databases. These patterns can vary based on the day of the week, the time of the day, and commuter type. This study proposes methods to detect underlying spatio-temporal variability among three groups of commuters (senior citizens, child/students, and adults) using data mining and spatial analytics. Data from over 36 million individual trip records collected over one week (March 2012) on the Singapore bus and Mass Rapid Transit (MRT) system by the fare collection system were used. Analyses of such data are important for transportation and landuse designers and contribute to a better understanding of urban dynamics. <br><br> Specifically, descriptive statistics, network analysis, and spatial analysis methods are presented. Descriptive variables were proposed such as density and duration to detect temporal features of people. A directed weighted graph G &equiv; (N , L, W) was defined to analyze the global network properties of every pair of the transportation link in the city during an average workday for all three categories. Besides, spatial interpolation and spatial statistic tools were used to transform the discrete network nodes into structured human movement landscape to understand the role of transportation systems in urban areas. The travel behaviour of the three categories follows a certain degree of temporal and spatial universality but also displays unique patterns within their own specialties. Each category is characterized by their different peak hours, commute distances, and specific locations for travel on weekdays.


Author(s):  
Cindy Tse ◽  
Jessie Wang ◽  
Jinhua Zhao

This paper focuses the current and potential impact of Huning High Speed Railway (H-N HSR) on commuting patterns in the Yangtze River Delta region. We will examine 1) to what extent commuting via HSR is occurring, since the HSR system is very new and is a substantial and long-term decision for people to move for a job or home across cities; 2) the future potential of commuting via the HSR perceived by current HSR passengers to relocate for a job or relocate their home and their preferences in terms of target cities of jobs and housing relocations; and 3) the areas in the HSR system required for improvement in order to enable a smooth commuting experience across cities, including affordability of the HSR tickets, the comparison between the maximum tolerable travel time with the actual door-to-door travel time, and various aspects of integration between HSR and intra-urban transportation systems.


2019 ◽  
Vol 21 (4) ◽  
pp. 718
Author(s):  
S Haryani

Large cities still peak the interests of some Indonesian society. Big city development as the center of economic activity is a powerful pull for society, influencing high workforce from both inside and outside of the city, causing a strong current of urbanization. One main problem that always accompanies urban areas development is density population. Urbanization has caused a very rapid explosion in the city population; one implication is the clumping workforce in large Indonesian cities. The high number of people who choose to settle in the city increase the number of both legal and illegal settlements. In the high-density settlement, many houses are not liveable and irregular. The densely populated settlements find many houses unfit for habitation and irregular. The research aims to formulate the sustainability level of Urban communities, Lowokwaru District, Malang City using quantitative method through sustainability level calculation. Jatimulyo Urban Communities is measured by the sustainability criteria of density, diversity, mixed-use, and compactness to formulate the related sustainable urban spatial structure. Interpretation of the calculation results references similar research. The calculation result shows that Jatimulyo Urban Communities is included in the moderate sustainability level, where density is moderate (101.1-200 people/ha), has a moderate building density (20-40 buildings/ha), has a random diversity level (1.0) and an entropy index (0.51), and compactness is near perfect inequality (Gini Coefficient 0.99).


Author(s):  
Adrian Hellman ◽  
Tashi Ngamdung

The United States Department of Transportation’s (USDOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the USDOT Federal Railroad Administration (FRA) Office of Research and Development (ORD), conducted a reliability analysis of the four-quadrant gate/vehicle detection equipment installed on the potential high-speed rail (HSR) corridor between Chicago and St Louis. A total of 69 highway-rail grade crossings on a 121-mile (195 km) segment of the 280-mile corridor were equipped with four-quadrant gates and inductive loop vehicle detection technology. This segment, between Mazonia and Springfield Illinois, may eventually carry passenger trains at speeds up to 110 mph (177 km/h), including at many of the highway-rail grade crossings. The analysis was based on maintenance records obtained from the Union Pacific Railroad (UPRR), the owner and operator of the rail line. The results were used to assess the impact of the equipment reliability on the proposed HSR timetable. The Volpe Center study showed that the total average delay to the five scheduled daily high-speed passenger roundtrips was an estimated 10.5 minutes, or approximately one minute per train. Overall, extensive analysis of the trouble ticket data showed that the four-quadrant gate and vehicle detection equipment had a minimal direct impact on the frequency and duration of grade crossing malfunctions.


2019 ◽  
Vol 11 (6) ◽  
pp. 1512 ◽  
Author(s):  
Xinshuo Hou

This paper aims to provide an examination of the general and heterogeneous allowed treatment effects of high-speed rail (HSR) on tourism in cities in China. Based on the implementation of a generalized difference-in-differences (GDID) model and a dose–response (DR) assessment under a quasi-experimental background, this study found significant evidence of a positive average effect of HSR operation on tourism development for both domestic and international tourism. The event study indicates that the counterfactual method implied in this paper is valid, since the parallel trend assumption is confirmed, and the treatment effect of HSR on city tourism has an upwardly increasing trend over time. The heterogeneity test, which separates large cities from medium-sized and small cities, shows that the effect is quite different for the two city types; the effect is not optimistic for large cities, but it is consistently positive for medium-sized and small cities. As an original contribution, this paper conducts a DR study, allowing heterogeneous treatment effects to be captured when cities have different HSR development statuses. This novel method relaxes the strong assumption that there is only one effect level on average for all cities. The results argue that cities with higher HSR development will enjoy more benefits in terms of arrivals and revenues both from home and abroad; however, there are significant differences for the two city groups, as well as for domestic and international tourism. Thus, the findings can offer important information for policy decision making and serve as a valuable reference for research, especially regarding the conclusion drawn from the heterogeneity effect based on city size and HSR development status.


2020 ◽  
Vol 12 (8) ◽  
pp. 3176 ◽  
Author(s):  
Feng Li ◽  
Yang Su ◽  
Jiaping Xie ◽  
Weijun Zhu ◽  
Yahua Wang

Achieving transport connectivity is a priority in China’s “Belt and Road Initiative”. In order to further understand the impact of railway infrastructure on city-level economic expansion, we set cities with high-speed rail as the treatment group and those without high-speed rail as the control group, and a difference-in-differences (DID) technique was used to estimate the growth impact and heterogeneity of high-speed rail opening on the economic growth of cities along the New Silk Road Economic Belt. The main results are as follows: First, economic growth in cities with operational high-speed rail lines was significantly higher than those without high-speed rail. Second, the impact of high-speed rail on economic growth exhibited distinct heterogeneity. Large cities tend to have a stronger siphoning effect, resulting in more pronounced impact of high-speed rail opening on urban economic growth. Third, cities with higher marketization levels and higher government efficiency were shown to have stronger economic growth effect.


Author(s):  
Robert Gottlieb ◽  
Simon Ng

This chapter describes and analyzes how Los Angeles became an auto-dominant region, how Hong Kong built a much admired rail passenger system, and how China, in rapid fire succession, witnessed a massive increase in car use and metro development. It identifies the air quality, land use, and mobility shifts associated with these changing transportation systems. It describes how Los Angeles seeks to lessen its car dependence with its new push for rail and increased bike use and walkability strategies; how Hong Kong struggles with congestion due to increased car ownership and car use while still relying on the link between its metro and rail system and concentrated real estate development near metro stops; and how China’s cities, such as Shenzhen, race ahead with new metro and high speed rail development while confronting the environmental problems and challenges related to its enormous growth in car use and the erosion of its Bicycle Kingdom reputation.


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