Matching Items (7)
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- All Subjects: urban planning
- Creators: Cai, Jianming
- Resource Type: Text
- Status: Published
Description
Targeted growth is necessary for sustainable urbanization. There is a pattern in China of rapid development due to inflated projections. This creates "ghost towns" and underutilized urban services that don't support the population.
In the case of Taiyuan, this industrial third-tier city of 4.2 million people. A majority of the newer residential services and high-end commercial areas are on the older, eastern side of the city. Since 2007, major urban investments have been made in developing the corridor that leads to the airport, including building a massive hospital, a new sports stadium, and "University City". The intention of the city officials is to encourage a new image of Taiyuan- one that is a tourist destination, one that has a high standard of living for residents. However, the consequences of these major developments might be immense, because of the required shift of community, residents and capital that would be required to sustain these new areas. Much of the new development lacks the reliable and frequent public transit of the more established downtown areas.
Do these investments in medical complexes, sports stadiums and massive shopping centers create new jobs that impact the income disparity, or do these new areas take years to fill, creating vacuums of investment that remove funding from areas with established communities? Can Taiyuan move successfully to a post-industrial economy with these government interventions, or is it too much too soon?
By examining demographic data from 2000, 2007, 2009, 2011, and 2013, research on sustainability assessments in Chinese cities (Lu Jia), and translated government publications detailing the urbanization efforts in Taiyuan, I will assess the results of the urbanization changes instituted by the new mayor, Geng Yanbo. My thesis will evaluate the success and failures of these policies and the implications for Taiyuan.
In the case of Taiyuan, this industrial third-tier city of 4.2 million people. A majority of the newer residential services and high-end commercial areas are on the older, eastern side of the city. Since 2007, major urban investments have been made in developing the corridor that leads to the airport, including building a massive hospital, a new sports stadium, and "University City". The intention of the city officials is to encourage a new image of Taiyuan- one that is a tourist destination, one that has a high standard of living for residents. However, the consequences of these major developments might be immense, because of the required shift of community, residents and capital that would be required to sustain these new areas. Much of the new development lacks the reliable and frequent public transit of the more established downtown areas.
Do these investments in medical complexes, sports stadiums and massive shopping centers create new jobs that impact the income disparity, or do these new areas take years to fill, creating vacuums of investment that remove funding from areas with established communities? Can Taiyuan move successfully to a post-industrial economy with these government interventions, or is it too much too soon?
By examining demographic data from 2000, 2007, 2009, 2011, and 2013, research on sustainability assessments in Chinese cities (Lu Jia), and translated government publications detailing the urbanization efforts in Taiyuan, I will assess the results of the urbanization changes instituted by the new mayor, Geng Yanbo. My thesis will evaluate the success and failures of these policies and the implications for Taiyuan.
ContributorsDolins, Sarah-Laura (Author) / Webster, Douglas (Thesis advisor) / Golub, Aaron (Committee member) / Cai, Jianming (Committee member) / Arizona State University (Publisher)
Created2014
Description
Adopting smart city tactics is important because it allows cities to develop sustainable communities through efficient policy initiatives. This study exemplifies how data analytics enables planners within smart cities to gain a better understanding of their population, and can make more informed choices based on these consumer choices. As a rising share of the millennial generation enters the workforce, cities across the world are developing policy initiatives in the hopes of attracting these highly educated individuals. Due to this generation's strength in driving regional economic vitality directly and indirectly, it is in the best interests of city planners to understand the preferences of millennials so this information can be used to improve the attractiveness of communities for this high-purchasing power, productive segment of the population. Past research has revealed a tendency within this demographic to make location decisions based on the degree of ‘livability’ in an area. This degree represents a holistic approach at defining quality of life through the interconnectedness of both the built and social environments in cities.
Due to the importance of millennials to cities around the globe, this study uses 2010 ZIP code area data and the Phoenix metropolitan area as a case study to test the relationships between thirteen parameters of livability and the presence of millennials after controlling for other correlates of millennial preference.
The results of a multiple regression model indicated a positive linear association between livability parameters within smart cities and the presence of millennials. Therefore, the selected parameters of livability within smart cities are significant measures in influencing location decisions made by millennials. Urban planners can consequently increase the likelihood in which millennials will choose to live in a given area by improving livability across the parameters exemplified in this study. This mutually beneficial relationship provides added support to the notion that planners should develop solutions to improve livability within smart cities.
Due to the importance of millennials to cities around the globe, this study uses 2010 ZIP code area data and the Phoenix metropolitan area as a case study to test the relationships between thirteen parameters of livability and the presence of millennials after controlling for other correlates of millennial preference.
The results of a multiple regression model indicated a positive linear association between livability parameters within smart cities and the presence of millennials. Therefore, the selected parameters of livability within smart cities are significant measures in influencing location decisions made by millennials. Urban planners can consequently increase the likelihood in which millennials will choose to live in a given area by improving livability across the parameters exemplified in this study. This mutually beneficial relationship provides added support to the notion that planners should develop solutions to improve livability within smart cities.
ContributorsBobman, Mitchell Cole (Author) / Mack, Elizabeth (Thesis director) / Koschinsky, Julia (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2015-05
Description
Beijing, in its Twelfth Five-Year Plan for the National Economic and Social Development of Beijing (2011 – 2015), affirmed its intention to become a leading “World City with Chinese characteristics.” This research is based on an assessment of the proposed strategies contained within the 12th Five-Year plan that are grounded in the set of indicators (variables) closely associated with world city status. Indicator selection (e.g., percentage of foreign born population) is based on review of shared characteristics of world cities (e.g., Tokyo, New York, Singapore) constrained by availability of Beijing data; plus the significant academic literature on the topic from leading scholars such as Peter Hall. Using these indicators, Beijing’s baseline conditions and associated trends are established for assessment in a Status-Quo Scenario. Thereafter, interventions proposed by the Beijing Municipality to achieve world city status are evaluated.
The results of this assessment will inform Beijing’s policy-makers regarding potential obstacles, pitfalls, or potential disruptions on the road to premier ‘World City’ status, and emphasize the need to undertake peremptory interventions and/or prepare contingency responses, as well as, inform stakeholders and decision-makers of critical and non-critical interventions recommended to achieve World City status by the year 2030.
The results of this assessment will inform Beijing’s policy-makers regarding potential obstacles, pitfalls, or potential disruptions on the road to premier ‘World City’ status, and emphasize the need to undertake peremptory interventions and/or prepare contingency responses, as well as, inform stakeholders and decision-makers of critical and non-critical interventions recommended to achieve World City status by the year 2030.
ContributorsLyon, Michael (Author) / Webster, Douglas (Thesis advisor) / Quay, Raymond (Committee member) / Cai, Jianming (Committee member) / Pijawka, David (Committee member) / Arizona State University (Publisher)
Created2016
Description
Peri-urbanization is a process in which previously rural areas on the outskirts of established cities become more urban in character. This process is of great significance in China, because peri-urbanization is often manufacturing and Foreign Direct Investment (FDI) driven. After witnessing the dramatic development of the Eastern Coastal Region from the mid-1980s, China recently changed its regional development focus to interior regions to pursue more spatial equity within the nation. Wuhan, as the most populous city in central China, is experiencing significant peri-urbanization. The thesis focuses on Dongxihu District, a representative peri-urban area in Wuhan Municipality.
To explore peri-urbanization in Dongxihu, this study first documents the metrics of ongoing peri-urbanization in the District from land use, economic, demographic and institutional perspectives. Causality is explored by relating peri-urban outcomes to drivers within the framework of research questions, namely: (i) What is driving peri-urban change in Dongxihu? (ii) Which drivers of peri-urbanization in the District are most important? (iii) How can Dong Xi Hu's peri-urbanization process and outcomes best be characterized? and (iv) What policy implications can be drawn from Dong Xi Hu's peri-urbanization experience?
The primary conclusion is that Dongxihu's peri-urbanization is primarily manufacturing driven, resembling previous first generation peri-urbanization on the coast more than the more diverse peri-urban outcomes now emerging in wealthy coastal metropolitan areas, e.g., Shanghai.
To explore peri-urbanization in Dongxihu, this study first documents the metrics of ongoing peri-urbanization in the District from land use, economic, demographic and institutional perspectives. Causality is explored by relating peri-urban outcomes to drivers within the framework of research questions, namely: (i) What is driving peri-urban change in Dongxihu? (ii) Which drivers of peri-urbanization in the District are most important? (iii) How can Dong Xi Hu's peri-urbanization process and outcomes best be characterized? and (iv) What policy implications can be drawn from Dong Xi Hu's peri-urbanization experience?
The primary conclusion is that Dongxihu's peri-urbanization is primarily manufacturing driven, resembling previous first generation peri-urbanization on the coast more than the more diverse peri-urban outcomes now emerging in wealthy coastal metropolitan areas, e.g., Shanghai.
ContributorsLi, Jianyi, M.U.E.P (Author) / Webster, Douglas R (Thesis advisor) / Pfeiffer, Deirdre A (Thesis advisor) / Cai, Jianming (Committee member) / Arizona State University (Publisher)
Created2016
Spatial-Temporal Analysis of Barrett Freshmen 2007-2012: Source Area Analysis and Poisson Regression
Description
In order to help enhance admissions and recruiting efforts, this longitudinal study analyzed the geographic distribution of matriculated Barrett freshmen from 2007-2012 and sought to explore hot and cold spot locations of Barrett enrollment numbers using geographic information science (GIS) methods. One strategy involved   weighted mean center and standard distance analyses for each year of data for non-resident (out-of-state) freshmen home zip codes. Another strategy, a Poisson regression model, revealed recruitment "hot and cold spots" across the U.S. to project the expected counts of Barrett freshmen by zip code. This projected count served as a comparison for the actual admissions data, where zip codes with over and under predictions represented cold and hot spots, respectively. The mean center analysis revealed a westward shift from 2007 to 2012 with similar distance dispersions. The Poisson model projected zero-student zip codes with 99.2% accuracy and non-zero zip codes with 73.8% accuracy. Norwalk, CA (90650) and New York, NY (10021) represented the top out-of-state cold spot zip codes, while the model indicated that Chandler, AZ (85249) and Queen Creek, AZ (85242) had the most in-state potential for recruitment. The model indicated that more students have come from Albuquerque, NM (87122) and Aurora, CO (80015) than anticipated, while Phoenix, AZ (85048) and Tempe, AZ (85284) represent in-state locations with higher correlations between the variables included, especially regarding distance decay, and the than expected numbers of freshmen. The regression also indicated the existence of strong likelihood of attracting Barrett students.
ContributorsKostanick, Megan Elizabeth (Author) / Rey, Sergio (Thesis director) / Dorn, Ron (Committee member) / Koschinsky, Julia (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / School of Politics and Global Studies (Contributor)
Created2013-05
Description
Being on the frontline of China’s ambition to internalize hi-tech supply chains (e.g., “Made in China 2025” campaign) and on the cusp of global tech competition (e.g., U.S.-China tensions), much strategic significance is given to the electronics hardware innovation cluster in Shenzhen, better known as “the world’s hardware capital”. This study investigates the latest dynamics of Shenzhen’s electronics cluster from the perspectives of agglomeration, institutions, and the built environment. The study found that despite different interpretations of the trade-off between agglomeration economies and diseconomies by both firms and analysts, increasingly diverse types of firms and intra-firm functions spillout from Shenzhen to surrounding areas, such as Dongguan and Huizhou in the Greater Bay Area. Institutionally the dissertation found that recent major external context changes, namely the pandemic, trade war, and financial and property economy fever, have not significantly changed the innovation culture in Shenzhen. As for the built environment dimension, in the context of policy thrusts, market forces, and stakeholder interests, gentrification of affordable rental housing in urban villages only happens in a modest way, without significant displacement of labor forces serving Shenzhen’s electronics industry. Policy implications include: (i) More administrative and planning co-operation should occur between Shenzhen and surrounding municipalities, given the increasingly diverse types of firms and intra-firm functions spilling out from Shenzhen; (ii) For local government, cultivating innovation culture in a cluster is a long-term task, which requires persistent building of a favorable policy environment for many years; (iii) In terms of built environment policy-making in innovation clusters (both living and working environments), more attention should be paid to implementation mechanisms; (iv) Areas surrounding Shenzhen, potentially the future spatial focus for Shenzhen’s future innovation, should be of higher policy significance. Theoretical insights include: (i) Better understanding of mechanisms underlying the spatial growth of clusters at the sub-regional scale; (ii) The importance of the long-term in the formation of cluster institutions and culture, even in the face of short-term strong context changes; (iii) The built environment is both a driver and product of industrial clustering; (iv) Integrated study of the agglomeration, institutional, and built environment dimensions of cluster dynamics will yield new insights.
ContributorsLi, Jianyi (Author) / Webster, Douglas (Thesis advisor) / Pfeiffer, Deirdre (Committee member) / Cai, Jianming (Committee member) / Muller, Larissa (Committee member) / Arizona State University (Publisher)
Created2021
Description
The lack of in-depth understanding of why policies succeed or fail in implementation puts future policymaking in a situation of having insufficient information to craft effective interventions. Mainstream policy implementation theory is rooted in a democratic institutional setting. Much less empirical research and theory addresses implementation in top-down authoritarian contexts, such as China. This study addresses the research question of how the Chinese governance context affects stakeholder’s behavior in combating air pollution, based on the analysis of implementation of three particular air pollution policies: (i) Natural gas / electricity conversion from coal, for winter heating, (ii) Widespread deployment of New Energy Vehicles, and (iii) The shutting down of cement production in northern China during the winter heating period to avoid overlapping pollution emissions from winter heating.
This study identifies flexibility and accountability as two important characteristics of the Chinese governance context, and traces how they affect stakeholder behavior and coalition formation, which in turn impacts policy implementation performance. The case study methodology triangulates analysis of government policy documents, secondary data, and the results of semi-structured key informant interviews.
Findings include: (i) The Chinese government has a very strong implementation capability to pass directives down and scale up, enabling rapid accomplishment of massive goals. It also has the capability to decide how the market should come into play, and to shape public opinion and ignore opposition; (ii) Interventions from the authoritarian government, given China’s vast economy and market, and the efficient top-down tiered bureaucratic system, risk distorting the market and the real policy goals during the implementation process; (iii) There tends to be an absence of bottom-up participation and feedback mechanisms; (iv) An effective self-correction mechanism, associated with flexibility and adaptability by a myriad of stakeholders often enables effective policy adjustment.
Policy implications include: (i) Policy implementation concerns need to be integrated into policy design; (ii) More thorough discussion of options is required during policy design; (iii) Better communication channels and instruments are needed to provide feedback from the bottom-up; (iv) On complex policy issues such as air pollution, pilot projects should be carried out before massive adoption of a policy.
This study identifies flexibility and accountability as two important characteristics of the Chinese governance context, and traces how they affect stakeholder behavior and coalition formation, which in turn impacts policy implementation performance. The case study methodology triangulates analysis of government policy documents, secondary data, and the results of semi-structured key informant interviews.
Findings include: (i) The Chinese government has a very strong implementation capability to pass directives down and scale up, enabling rapid accomplishment of massive goals. It also has the capability to decide how the market should come into play, and to shape public opinion and ignore opposition; (ii) Interventions from the authoritarian government, given China’s vast economy and market, and the efficient top-down tiered bureaucratic system, risk distorting the market and the real policy goals during the implementation process; (iii) There tends to be an absence of bottom-up participation and feedback mechanisms; (iv) An effective self-correction mechanism, associated with flexibility and adaptability by a myriad of stakeholders often enables effective policy adjustment.
Policy implications include: (i) Policy implementation concerns need to be integrated into policy design; (ii) More thorough discussion of options is required during policy design; (iii) Better communication channels and instruments are needed to provide feedback from the bottom-up; (iv) On complex policy issues such as air pollution, pilot projects should be carried out before massive adoption of a policy.
ContributorsZhang, Feifei (Author) / Webster, Douglas (Thesis advisor) / Pijawka, David (Committee member) / Cai, Jianming (Committee member) / Muller, Larissa (Committee member) / Arizona State University (Publisher)
Created2020