| id |
ecaade2020_089 |
| authors |
Ardic, Sabiha Irem, Kirdar, Gulce and Lima, Angela Barros |
| year |
2020 |
| title |
An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case - Measuring popularity based on POIs, accessibility and perceptual quality parameters |
| source |
Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 309-318 |
| doi |
https://doi.org/10.52842/conf.ecaade.2020.2.309
|
| summary |
The cities are equipped with the data as a result of the individuals' sharings and application usage. This significant amount of data has the potential to reveal relations and support user-centric decision making. The focus of the research is to examine the relational factors of the neighborhoods' popularity by implementing a big data approach to contribute to the problem of urban areas' degradation. This paper presents an exploratory urban analysis for Eindhoven at the neighborhood level by considering variables of popularity: density and diversity of points of interest (POI), accessibility, and perceptual qualities. The multi-sourced data are composed of geotagged photos, the location and types of POIs, travel time data, and survey data. These different datasets are evaluated using BBN (Bayesian Belief Network) to understand the relationships between the parameters. The results showed a positive and relatively high connection between popularity - population change, accessibility by walk - density of POIs, and the feeling of safety - social cohesion. For further studies, this approach can contribute to the decision-making process in urban development, specifically in real estate and tourism development decisions to evaluate the land prices or the hot-spot touristic places. |
| keywords |
big data approach; neighborhood analysis; popularity; point of interest (POI); accessibility; perceptual quality |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (11,557,366 bytes) |
| references |
Content-type: text/plain
|
Alivand, M and Hochmair, HH (2017)
 Spatiotemporal analysis of photo contribution patterns to Panoramio and Flickr
, Cartography and Geographic Information Science, 44, pp. 170-184
|
|
|
|
|
Appleyard, D, Gerson, MS and Lintell, M (1981)
Liveable Streets
, Univ. of California Press
|
|
|
|
|
Baba, Y and Austin, DM (1989)
Neighborhood Environmental Satisfaction, Victimization, and Social Participation as Determinants of Perceived Neighborhood Safety
, Environment and Behavior, 21, pp. 763-780
|
|
|
|
|
Batty, M (2013)
Smart Cities Big Data
, Environment and Planning B:Planning and Design 2012, 39, pp. 191-193
|
|
|
|
|
Cheng, J, Greiner, R, Kelly, J, Bell, D and Liu, W (2002)
Learning Bayesian networks from data: An information-theory based approach
, Artificial Intelligence, 137(1), pp. 43-90
|
|
|
|
|
Cranshaw, J, Schwartz, R, Hong, JI and Sadeh, N (2012)
The Livehoods Project : Utilizing Social Media to Understand the Dynamics of a City
, Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, pp. 58-65
|
|
|
|
|
Ensari, E and Kobas, B (2018)
Web scraping and mapping urban data to support urban design decisions
, ITU AZ, 15(1), pp. 5-21
|
|
|
|
|
Feng, T and Zhang, J (2014)
Multicriteria Evaluation on Accessibility-Based Transportation Equity in Road Network Design Problem
, Journal of Advanced Transportation, 48, pp. 526-541
|
|
|
|
|
Galster, GC (1987)
Homeowners and neighborhood reinvestment decisions
, Duke University Press
|
|
|
|
|
Gao, S, Janowicz, K and Couclelis, H (2017)
Extracting urban functional regions from points of interest and human activities on location-based social networks
, Transactions in GIS, February, pp. 446-467
|
|
|
|
|
Gehl, J (2010)
Cities for People
, Island Press, Washington, DC
|
|
|
|
|
Girardin, FD, Calabrese, F, Fiore, FD, Ratti, C and Blat, J (2008)
Digital Footprinting: Uncovering Tourists with User-Generated Content
, IEEE Pervasive Computing, 7(4), pp. 36-43
|
|
|
|
|
Hur, M and Morrow-Jones, H (2008)
Factors That Influence Residents Satisfaction With Neighborhoods
, Environment and Behaviour, 40(5), pp. 619-635
|
|
|
|
|
Jacobs, J (1961)
The Death and Life of Great American Cities
, Random House, New York
|
|
|
|
|
Kisilevich, S, Keim, D, Andrienko, N and Andrienko, G (2013)
Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections
, Moore, A and Drecki, I (eds), Geospatial Visualisation, Lecture Notes in Geoinformation and Cartography, Springer, Berlin, Heidelberg, pp. 211-233
|
|
|
|
|
Montgomery, J (1998)
Making a City: Urbanity, Vitality and Urban Design
, Journal of Urban Design, 3(1), pp. 93-116
|
|
|
|
|
Moya-Gomez, B, Salas-Olmedo, MH, García-Palomares, JC and Gutiérrez, J (2018)
Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness
, Networks and Spatial Economics, 18(2), pp. 273-290
|
|
|
|
|
Newman, SJ and Duncan, GJ (1979)
Residential Problems, Dissatisfaction, and Mobility
, Journal of the American Planning Association, 45, pp. 154-166
|
|
|
|
|
Saghapour, T and Moridpour, S (2019)
The Role of Neighbourhoods Accessibility in Residential Mobility
, Cities, 87, pp. 1-9
|
|
|
|
|
Schlieder, C and Matyas, C (2009)
Photographing a city: An analysis of place concepts based on spatial choices
, Spatial Cognition and Computation, 9(3), pp. 212-228
|
|
|
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| last changed |
2022/06/07 07:54 |
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