Understanding urban China with open data

Liu, Xingjian; Song, Yan; Wu, Kang; Wang, Jianghao; Liu, Dong; Long, Ying

doi:10.1016/j.cities.2015.03.006

Cited by 84 publications

(50 citation statements)

References 28 publications

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“…The third set of research on OGD pertains to case studies in which researchers have picked evidentiary support from countries where OGD initiatives have been undertaken at the national, state or local levels (for instance, Sataslaatten, 2014;Liu et al, 2015). These studies are mainly undertaken in Western settings and there are only a few studies based in developing countries (for instance, Kassen, 2013;Kunkel, 2016;Ohemeng and Ofosu-Adarkwa, 2015;Yang and Wu, 2016).…”

Section: Previous Research On Ogd: a Reviewmentioning

confidence: 99%

Examining open government data (OGD) usage in India through UTAUT framework

Saxena

Janssen²

2017

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Purpose This paper aims to examine the use and acceptance of open government data (OGD) of different stakeholder groups in India. Design/methodology/approach Following an empirical investigation among 244 respondents in India, the paper deploys path analysis via LISREL. The conceptual construction of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework is used to assess the behavioral intention to use and accept OGD. Multiple regression analysis informs the relationship of demographic variables with the behavioral intention to use and accept OGD. Findings Path analysis showed that there is an increased use and acceptance of OGD among the respondents. Multiple regression analysis shows that men are more likely to use open data sets than women. Individual differences are found among the respondents with regard to OGD usage. Thus, while men may tap open data sets in line with their purposes and professional backgrounds, women are likely to tap the data sets even for non-professional purposes. Furthermore, the respondents who are younger in age are more behaviorally inclined to accepting and using OGD than their older counterparts. Practical implications The Indian government needs to popularize and familiarize OGD initiatives among the people to a greater extent. The utilitarian value of OGD may be provided when data sets are more user-friendly, frequently updated and accurate. This would facilitate in better provision of public services besides appreciating the public sentiment. Further, with increased interaction between citizens and the government, public accountability and transparency may be better realized. Social implications The study shows that different groups of people are engaging in tapping information through government websites and related portals. Societal influence was found to be an important factor which predicts the acceptance and usage of OGD. An infrastructure can help to enable the use of OGD. Originality/value Hitherto, studies have focused on OGD initiatives in the developed countries, but extant literature is scarce on developing countries. Therefore, this study seeks to fill the literature gap by probing OGD use and acceptance among different stakeholder groups in India.

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Section: Previous Research On Ogd: a Reviewmentioning

confidence: 99%

Examining open government data (OGD) usage in India through UTAUT framework

Saxena

Janssen²

2017

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“…Figure 3 is a bar chart that displays the number of respondents from different provinces. Figure 4 illustrates the distribution of respondents on a flat map of China generated in Excel 2016 and provides the population density of China in 2010 [86], in order to detecting whether our sample achieved adequate geographical disperse and representativeness. In general, our online sample roughly fits the geographical distribution of the general population.…”

Section: Sampling and Data Validationmentioning

confidence: 99%

“…Depicts the locations of the sample participants who live in in China (left) and the population density of China in 2010 (right)[86]. Note: Each solid blue point represents the location of one respondent.…”

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confidence: 99%

Chronotype, Risk and Time Preferences, and Financial Behaviour

2018

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This paper examines the effect of chronotype on the delinquent credit card payments and stock market participation through preference channels. Using an online survey of 455 individuals who have been working for 3 to 8 years in companies in mainland China, the results reveal that morningness is negatively associated with delinquent credit card payments. Morningness also indirectly predicts delinquent credit card payments through time preference, but this relationship only exists when individuals’ monthly income is at a low and average level. On the other hand, financial risk preference accounts for the effect of morningness on stock market participation. Consequently, an additional finding is that morningness is positively associated with financial risk preference, which contradicts previous findings in the literature. Finally, based on the empirical evidence, we discuss the plausible mechanisms that may drive these relationships and the implications for theory and practice. The current study contributes to the literature by examining the links between circadian typology and particular financial behaviour of experienced workers.

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“…In contrast to the past, when most data was hand-picked, expensive to collect, and time-consuming to process, the new data environment, including "big data" and "open data," helps to present physical data regarding urban form and people's experience of it in a new, accurate and consistent way (Batty, 2013). This new data environment enables us not only to study and grasp the spatial characteristics on a macro scale, but also to study and observe on micro scales, which thus can be applied to both urban design and architecture studies (Liu et al, 2015).…”

Section: A New Data Environment Brings New Research Possibilitiesmentioning

confidence: 99%

Complex Power: An Analytical Approach to Measuring the Degree of Urbanity of Urban Building Complexes

Xu¹,

Ye²,

Xu³

2017

International Journal of High-Rise Buildings

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The importance of designing urban building complexes so that they obtain 'urban' power, rather than become isolated from the surrounding urban context, has been well recognized by both researchers and practitioners. Nevertheless, most current discussions are made from architects' personal experiences and intuition, and lack a quantitative understanding, to which obstacles include an in-depth exploration of the 'urban' power between building complexes and the urban environment. This paper attempts to measure this feature of 'urban', i.e., 'urbanity,' through a new analytical approach derived from the opendata environment. Three measurements that can be easily collected though the Google Maps API and Open Street Map are applied herein to evaluate high or low values of urbanity. Specifically, these are 'metric depth', i.e., the scale of extended public space, 'development density', i.e., density and distribution of point of interests (POIs), and 'type diversity', i.e., diversity of different commercial types. Six cases located in Japan, China and Hong Kong respectively are ranked based on this analytical approach and compared with each other. It shows that Japanese cases, i.e., Osaka Station City and Namba Parks, Osaka, obtained clearly higher values than cases in Shanghai and Hong Kong. On one hand, the insight generated from measuring and explaining 'urban' power would help to assist better implementation of this feature in the design of urban building complexes. On the other hand, this analytical approach can be easily extended to achieve a large-scale measurement and comparison among different urban building complexes, which is also helpful for design practitioners.

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Understanding urban China with open data

Cited by 84 publications

References 28 publications

Examining open government data (OGD) usage in India through UTAUT framework

Examining open government data (OGD) usage in India through UTAUT framework

Chronotype, Risk and Time Preferences, and Financial Behaviour

Complex Power: An Analytical Approach to Measuring the Degree of Urbanity of Urban Building Complexes

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