• 沒有找到結果。

Chapter 5. Discussion

5.2 Limitations and future work

Our study examined the effect of testing environments, route cue types and psychological geospatial abilities on wayfinding performance. There are, however, limitations in our study. First, real-life environment of wayfinding was located in NTU campus, where road instructions might not be complete. Therefore, there might be differences between campus and general road condition. Second, indoor environments were not tested here. Several studies have investigated wayfinding in indoor environment (Baskaya, Wilson, & Ozcan, 2004; Vanclooster et al., 2014; Walkowiak, Foulsham, &

Eardley, 2015). Whether indoor and outdoor environments share similar mental processed remains to be tested in future studies.

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Third, though behavior patterns are similar in real-life and virtual environment settings, whether training effect is transferrable from VE to real-life lacks empirical evidence. It remains to be solved in future work.

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References

American Psychological Association, W. D. C. (1999). Standards for Educational

and Psychological Testing.

Atkinson, R. C., & Shiffrin, R. M. (1968). Human Memory: A Proposed System and its Control In K. W. Spence & J. T. Spence (Eds.), Psychology of Learning and Motivation (Vol. 2, pp. 89-195). New York: Academic Press.

Baddeley, A. D., & Hitch, G. (1974). Working memory. In G. H. Bower (Ed.), The

psychology of learning and motivation: Advances in research and theory (Vol. 8, pp.

47-89). New York: Academic Press.

Baldwin, C. L., & Reagan, I. (2009). Individual differences in route-learning strategy and associated working memory resources. Hum Factors, 51(3), 368-377.

doi:10.1177/0018720809338187

Baltaretu, A., Krahmer, E., & Maes, A. (2015). Improving Route Directions: The Role of Intersection Type and Visual Clutter for Spatial Reference. Applied Cognitive

Psychology, 29(5), 647-660. doi:10.1002/acp.3145

Baskaya, A., Wilson, C., & Ozcan, Y. Z. (2004). Wayfinding in an Unfamiliar Environment: Different Spatial Settings of Two Polyclinics. Environment and Behavior,

36(6), 839-867.

Basset-Salom, L., & Guardiola-Víllora, A. (2014). Seismic performance of masonry residential buildings in Lorca's city centre, after the 11th May 2011 earthquake. Bulletin

of Earthquake Engineering, 12(5), 2027-2048. doi:10.1007/s10518-013-9559-8

Ben-Joseph, E., Lee, J. S., Cromley, E. K., Laden, F., & Troped, P. J. (2013). Virtual and actual: Relative accuracy of on-site and web-based instruments in auditing the environment for physical activity.

Health & Place, 19,

138-150.

doi:10.1016/j.healthplace.2012.11.001

Bentley, G. C., McCutcheon, P., Cromley, R. G., & Hanink, D. M. (2016). Fitzgerald:

A Return to the Neighborhood and Its Contemporary Structural and Geographical Contexts.

Professional Geographer, 68(3),

414-426.

doi:10.1080/00330124.2015.1102027

doi:10.6342/NTU201704041

72

Borrelli, L., Antronico, L., Gullà, G., & Sorriso-Valvo, G. M. (2014). Geology, geomorphology and dynamics of the 15 February 2010 Maierato landslide (Calabria, Italy). Geomorphology, 208, 50-73. doi:10.1016/j.geomorph.2013.11.015

Bosco, A., Longoni, A. M., & Vecchi, T. (2004). Gender effects in spatial orientation:

Cognitive profiles and mental strategies. Applied Cognitive Psychology, 18(5), 519-532.

doi:10.1002/acp.1000

Boumenir, Y., George, F., Rebillard, G. U. Y., Valentin, J., & Dresp-Langley, B.

(2010). Wayfinding through an unfamiliar environment. Perceptual & Motor Skills,

111(3), 829-847. doi:10.2466/04.22.23.27.PMS.111.6.829-847

Brunyé, T. T., Mahoney, C. R., Gardony, A. L., & Taylor, H. A. (2010). North is up(hill): Route planning heuristics in real-world environments. Mem Cognit, 38(6), 700-712. doi:10.3758/MC.38.6.700

Chudyk, A. M., Winters, M., Gorman, E., McKay, H. A., & Ashe, M. C. (2014).

Agreement between virtual and in-the-field environmental audits of assisted living sites.

Journal Of Aging And Physical Activity, 22(3), 414-420. doi:10.1123/japa.2013-0047

Clarke, P., Ailshire, J., Melendez, R., Bader, M., & Morenoff, J. (2010). Using Google Earth to conduct a neighborhood audit: Reliability of a virtual audit instrument.

Health & Place, 16(6), 1224-1229. doi:10.1016/j.healthplace.2010.08.007

Clews, C., Brajkovich-Payne, R., Dwight, E., Ahmad Fauzul, A., Burton, M., Carleton, O., . . . Thomson, G. (2016). Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation. BMC Public Health, 16, 442-442.

doi:10.1186/s12889-016-3115-9

Conlon, M., & Anderson, G. C. (1990). Three methods of random assignment:

comparison of balance achieved on potentially confounding variables. Nursing research,

39(6), 376-379.

Curtis, J. W., Curtis, A., Mapes, J., Szell, A. B., & Cinderich, A. (2013). Using google street view for systematic observation of the built environment: analysis of spatio-temporal instability of imagery dates. International Journal of Health Geographics, 12(1), 1-18. doi:10.1186/1476-072X-12-53

Denis, M. (1997). The description of routes: A cognitive approach to the production

doi:10.6342/NTU201704041

73

of spatial discourse. Cahiers de Psychologie Cognitive, 16(4), 409-458.

Deus, E., Silva, J. S., Catry, F. X., Rocha, M., & Moreira, F. (2015). Google Street View as an alternative method to car surveys in large-scale vegetation assessments.

Environmental Monitoring And Assessment, 188(10), 560-560.

doi:10.1007/s10661-016-5555-1

Downs, R. M., & DeSouza, A. (2006). Learning to think spatially: GIS as a support

system in the K-12 curriculum.

Downs, R. M., & Stea, D. (1973). Cognitive representations. In R. M. Downs & D.

Stea (Eds.), Image and Environment: Cognitive Mapping and Spatial Behavior (pp. 79-86). Chicago: Aldine.

Egenhofer, M. J., & Mark, D. M. (1995). Naive geography: Springer.

Fazekas, Z., Gáspár, P., Biró, Z., & Kovács, R. (2014). Driver behaviour, truck motion and dangerous road locations – Unfolding from emergency braking data.

Transportation Research: Part E, 65, 3-15. doi:10.1016/j.tre.2013.12.009

Federico, T., & Franklin, N. (1997). Long-term spatial representations from pictorial and textual input. In S. Hirtle & A. Frank (Eds.), Spatial Information Theory A Theoretical

Basis for GIS (Vol. 1329, pp. 261-278): Springer Berlin Heidelberg.

Fenner, J., Heathcote, D., & Jerrams-Smith, J. (2000). The development of wayfinding competency: Asymmetrical effects of visuo-spatial and verbal ability. Journal

of Environmental Psychology, 20(2),

165-175.

doi:http://dx.doi.org/10.1006/jevp.1999.0162

Feuillet, T., Charreire, H., Roda, C., Ben Rebah, M., Mackenbach, J. D., Compernolle, S., . . . Oppert, J. M. (2016). Neighbourhood typology based on virtual audit of environmental obesogenic characteristics. Obesity Reviews, 17, 19-30.

doi:10.1111/obr.12378

Fewings, R. (2001). Wayfinding and Airport Terminal Design. The Journal of

Navigation, 54(02), 177-184. doi:doi:10.1017/S0373463301001369

Fisher, R. A. (1937). The design of experiments. Edinburgh: Oliver And Boyd.

doi:10.6342/NTU201704041

74

Freksa, C., Habel, C., & Wender, K. F. (1998). Spatial cognition: An

interdisciplinary approach to representing and processing spatial knowledge (Vol. 1404):

Springer Verlag.

Garden, S., Cornoldi, C., & Logie, R. H. (2002). Visuo-spatial working memory in navigation. Applied Cognitive Psychology, 16(1), 35-50. doi:10.1002/acp.746

Golledge, R. G. (1999a). Human wayfinding and cognitive maps. In R. G. Golledge (Ed.), Wayfinding Behavior: Cognitive Mapping and Other Spatial Processes (pp. 5-45).

Baltimore: Johns Hopkins University Press.

Golledge, R. G. (1999b). Wayfinding behavior: Cognitive mapping and other spatial processes. Psycoloquy, 10.

Griew, P., Hillsdon, M., Foster, C., Coombes, E., Jones, A., & Wilkinson, P. (2013).

Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity. International Journal of Behavioral

Nutrition & Physical Activity, 10, 103-109. doi:10.1186/1479-5868-10-103

Gullón, P., Badland, H., Alfayate, S., Bilal, U., Escobar, F., Cebrecos, A., . . . Badland, H. M. (2015). Assessing Walking and Cycling Environments in the Streets of Madrid:

Comparing On-Field and Virtual Audits. Journal of Urban Health, 92(5), 923-939.

doi:10.1007/s11524-015-9982-z

Hanson, C. S., Noland, R. B., & Brown, C. (2013). The severity of pedestrian crashes:

an analysis using Google Street View imagery. Journal of Transport Geography, 33, 42-53. doi:10.1016/j.jtrangeo.2013.09.002

Harre Jr, F. E., Lee, K. L., & Pollock, B. G. (1988). Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response 2. JNCI: Journal

of the National Cancer Institute, 80(15), 1198-1202.

Hegarty, M., Richardson, A. E., Montello, D. R., Lovelace, K., & Subbiah, I. (2002).

Development of a self-report measure of environmental spatial ability. Intelligence, 30(5), 425-447. doi:10.1016/S0160-2896(02)00116-2

Heth, C. D., Cornell, E. H., & Flood, T. L. (2002). Self-ratings of sense of direction and route reversal performance. Applied Cognitive Psychology, 16(3), 309-324.

doi:10.1002/acp.795

doi:10.6342/NTU201704041

75

Hirtle, S. C. (2011). Geographical Design: Spatial Cognition and Geographical

Information Science: Morgan & Claypool.

Hirtle, S. C., & Jonides, J. (1985). Evidence of hierarchies in cognitive maps. Mem

Cognit, 13(3), 208-217.

Hirtle, S. C., Richter, K.-F., Srinivas, S., & Firth, R. (2010). This is the tricky part:

When directions become difficult. Journal of Spatial Information Science, 1(1), 53-73.

Hund, A. M., & Gill, D. M. (2014). What constitutes effective wayfinding directions:

The interactive role of descriptive cues and memory demands. Journal of Environmental

Psychology, 38, 217-224. doi:10.1016/j.jenvp.2014.02.006

Inoue, S., & Matsuzawa, T. (2007). Working memory of numerals in chimpanzees.

Current Biology, 17(23), R1004-R1005. doi:10.1016/j.cub.2007.10.027

Kelly, C., Wilson, J., Baker, E., Miller, D., & Schootman, M. (2013). Using Google Street View to Audit the Built Environment: Inter-rater Reliability Results. Annals of

Behavioral Medicine, 45, 108-112. doi:10.1007/s12160-012-9419-9

Kepper, M. M., Sothern, M. S., Theall, K. P., Griffiths, L. A., Scribner, R. A., Tseng, T.-S., . . . Broyles, S. T. (2017). A Reliable, Feasible Method to Observe Neighborhoods at High Spatial Resolution. American Journal Of Preventive Medicine, 52(1S1), S20-S30.

doi:10.1016/j.amepre.2016.06.010

Lawton, C. A., & Kallai, J. (2002). Gender Differences in Wayfinding Strategies and Anxiety About Wayfinding: A Cross-Cultural Comparison. Sex Roles, 47(9/10), 389-401.

Liben, L. S., Myers, L. J., Christensen, A. E., & Bower, C. A. (2013). Environmental-scale map use in middle childhood: links to spatial skills, strategies, and gender. Child

Dev, 84(6), 2047-2063. doi:10.1111/cdev.12090

Lynch, K. (1960). The image of the city (Vol. 11): the MIT Press.

Maldonado, G., & Greenland, S. (1993). Simulation study of confounder-selection strategies. American journal of epidemiology, 138(11), 923-936.

Malinowski, J. C., & Gillespie, W. T. (2001). Individual differences in performance on a large-scale, real-world wayfinding task. Journal of Environmental Psychology, 21(1),

doi:10.6342/NTU201704041

76

73-82. doi:http://dx.doi.org/10.1006/jevp.2000.0183

Mark, D. M., Freksa, C., Hirtle, S. C., Lloyd, R., & Tversky, B. (1999). Cognitive models of geographical space. International Journal of Geographical Information

Science, 13(8), 747-774. doi:10.1080/136588199241003

McLeod, S. A. (2007). Multi Store Model of Memory - Atkinson and Shiffrin, 1968.

Retrieved from www.simplypsychology.org/multi-store.html

Meilinger, T., & Knauff, M. (2008). Ask for directions or use a map: A field experiment on spatial orientation and wayfinding in an urban environment. Journal of

Spatial Science, 53(2), 13-23.

Meilinger, T., Knauff, M., & Bulthoff, H. H. (2008). Working memory in wayfinding-a dual task experiment in a virtual city. Cogn Sci, 32(4), 755-770.

doi:10.1080/03640210802067004

Mertens, L., Compernolle, S., Deforche, B., Mackenbach, J. D., Lakerveld, J., Brug, J., . . . Van Dyck, D. (2017). Built environmental correlates of cycling for transport across Europe. Health & Place, 44, 35-42. doi:10.1016/j.healthplace.2017.01.007

Montello, D. R. (1997). The perception and cognition of environmental distance:

Direct sources of information. In S. Hirtle & A. Frank (Eds.), Spatial Information Theory

A Theoretical Basis for GIS (Vol. 1329, pp. 297-311): Springer Berlin Heidelberg.

Montello, D. R., & Freundschuh, S. (2005). Cognition of geographic information. In R. B. McMaster & E. L. Usery (Eds.), A research agenda for geographic information

science (pp. 61-91). Boca Raton, FL: CRC Press.

Mooney, S. J., DiMaggio, C. J., Lovasi, G. S., Neckerman, K. M., Bader, M. D. M., Teitler, J. O., . . . Rundle, A. G. (2016). Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury. American Journal of Public Health,

106(3), 462-469. doi:10.2105/AJPH.2015.302978

Murias, K., Kwok, K., Castillejo, A. G., Liu, I., & Iaria, G. (2016). The effects of video game use on performance in a virtual navigation task. Computers in Human

Behavior, 58, 398-406. doi:10.1016/j.chb.2016.01.020

Nori, R., Grandicelli, S., & Giusberti, F. (2009). Individual Differences in

Visuo-doi:10.6342/NTU201704041

77

Spatial Working Memory and Real-World Wayfinding. Swiss Journal of Psychology,

68(1), 7-16. doi:10.1024/1421-0185.68.1.7

Odgers, C. L., Caspi, A., Bates, C. J., Sampson, R. J., & Moffitt, T. E. (2012).

Systematic social observation of children's neighborhoods using Google Street View: a reliable and cost-effective method. Journal of Child Psychology & Psychiatry, 53(10), 1009-1017. doi:10.1111/j.1469-7610.2012.02565.x

Richards, D. R., & Edwards, P. J. (2017). Quantifying street tree regulating ecosystem services using Google Street View. Ecological Indicators, 77, 31-40.

doi:10.1016/j.ecolind.2017.01.028

Rundle, A. G., Bader, M. D. M., Richards, C. A., Neckerman, K. M., & Teitler, J. O.

(2011). Using Google Street View to Audit Neighborhood Environments. American

Journal Of Preventive Medicine, 40(1), 94-100. doi:10.1016/j.amepre.2010.09.034

Silverman, I., Choi, J., Mackewn, A., Fisher, M., Moro, J., & Olshansky, E. (2000).

Evolved mechanisms underlying wayfinding: Further studies on the hunter-gatherer theory of spatial sex differences. Evolution and Human Behavior, 21(3), 201-213.

Sorrows, M. E., & Hirtle, S. C. (1999). The nature of landmarks for real and electronic spaces Spatial information theory. Cognitive and computational foundations of

geographic information science (pp. 37-50): Springer.

Taylor, H. A., & Tversky, B. (1992). Spatial mental models derived from survey and route descriptions. Journal of Memory and Language, 31(2), 261-292. doi:10.1016/0749-596X(92)90014-O

Tenbrink, T., & Winter, S. (2009). Variable granularity in route directions. Spatial

Cognition and Computation, 9(1), 64-93. doi:10.1080/13875860902718172

Tversky, B. (1993). Cognitive maps, cognitive collages, and spatial mental models

Spatial Information Theory A Theoretical Basis for GIS (pp. 14-24): Springer.

Vanclooster, A., Ooms, K., Viaene, P., Fack, V., Van de Weghe, N., & De Maeyer, P.

(2014). Evaluating suitability of the least risk path algorithm to support cognitive wayfinding in indoor spaces: An empirical study. Applied Geography, 53, 128-140.

doi:10.1016/j.apgeog.2014.06.009

doi:10.6342/NTU201704041

78

Vanwolleghem, G., Van Dyck, D., Ducheyne, F., De Bourdeaudhuij, I., & Cardon, G. (2014). Assessing the environmental characteristics of cycling routes to school: a study on the reliability and validity of a Google Street View-based audit. International Journal

of Health Geographics, 13(1), 1-17. doi:10.1186/1476-072X-13-19

Vincent, L. (2007). Taking Online Maps Down to Street Level. Computer

(00189162), 40(12), 118-120.

Walkowiak, S., Foulsham, T., & Eardley, A. F. (2015). Individual differences and personality correlates of navigational performance in the virtual route learning task.

Computers in Human Behavior, 45, 402-410. doi:10.1016/j.chb.2014.12.041

Weiss, T. R. (2014). Taking a Google Street View Time Warp Trip Through the Past.

eWeek, 5-5.

Wiener, J. M., Büchner, S. J., & Hölscher, C. (2009). Taxonomy of human wayfinding tasks: A knowledge-based approach. Spatial Cognition and Computation,

9(2), 152-165. doi:10.1080/13875860902906496

Winter, S., & Raubal, M. (2004). Selection of Salient Features for Route Directions.

Spatial Cognition & Computation, 4(2), 113-136.

Wu, Y.-T., Nash, P., Barnes, L. E., Minett, T., Matthews, F. E., Jones, A., & Brayne, C. (2014). Assessing environmental features related to mental health: a reliability study of visual streetscape images. BMC Public Health, 14, 1094-1094. doi:10.1186/1471-2458-14-1094

Yin, L., Cheng, Q., Wang, Z., & Shao, Z. (2015). ‘Big data’ for pedestrian volume:

Exploring the use of Google Street View images for pedestrian counts. Applied

Geography, 63, 337-345. doi:10.1016/j.apgeog.2015.07.010

Yin, L., & Wang, Z. (2016). Measuring visual enclosure for street walkability: Using machine learning algorithms and Google Street View imagery. Applied Geography, 76, 147-153. doi:10.1016/j.apgeog.2016.09.024

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Santa Barbara Sense of Direction Scale (SBSOD)

請仔細閱讀每題幹敘述後,想想「它與自己實際經驗」的相同程度,並勾選您的同

意程度;共計15 題,請填答所有題目。

B01.別人問路時,我很擅長報路

B02.我記憶力不佳,常忘記東西放在哪 B03.我擅長判斷距離的遠近

B04.我的方向感非常好

B05.我傾向使用「東西南北」來思考所處的環境 B06.我容易在陌生的地方迷路

B07.我喜歡看地圖

B08.問路時,我通常無法理解別人給的路線指引 B09.我擅長看地圖

B10.坐車時,我通常不記得車子的行駛路線 B11.別人問路時,我不喜歡報路

B12.「我人在哪裡」對我來說並不重要 B13.旅行時,我通常讓其他人規劃路線

B14.在只有走過一次的情形下,我可以把沿路路線記住 B15.我不太能在腦海中呈現家裡附近的地圖

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Geo-spatial thinking ability test, GSTAT

地理-空間思考能力測驗 (Geo-spatial thinking ability test, GSTAT)

本部份共計24 題選擇題,每題僅有一個正確或是最佳解答,請填答所有題目,答

錯並不會扣分。

1. ( ) 下圖為一假想的地球。其中同心圓線為緯線,自中心點北極向外散開的

線為經線。請問:甲地位在乙地的哪一方位? (A)東北方 (B)東南方

(C)西北方 (D)西南方。

2. ( ) 下圖是某座山的等高線圖,其中線段 AD、線段 CE、線段 CF 經過此 山。請問下列選項的敘述中,何者是上坡且坡度最陡?

(A)A 點至 B 點 (B) C 點至 D 點 (C) E 點至 C 點 (D) F 點至 C 點

3. ( ) 下圖為小明家周遭地圖,並依照他家為中心,每 5 公里畫一同心圓。請

由圖中算出,小明家方圓20 公里內,有幾家便利商店?

(A)12 家 (B)15 家 (C) 16 家 (D) 18 家

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4. ( ) 下圖是某一地的衛星影像圖。請由該圖中判斷該張影像有幾個聚落存 在? (A)3 (B)5 (C)7 (D)9

5. ( ) 某國政府希望在一地區設立垃圾掩埋場(如圖,網格線部分為

掩埋場預定地;星號為住家),屆時除了掩埋場內的住家必須遷移之外,距 離掩埋場 300 公尺內的住家也必須遷移。請問,這樣一來受波及而必須遷移 的住家有幾戶?

(A)9 戶 (B) 12 戶 (C) 14 戶 (D) 18 戶

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6. ( ) 柯南撿到一張紙條,上面寫著案發現場當時四位嫌疑人的相對

位置關係:「甲坐在乙的西北方,丙坐在乙的西方,丁坐在乙的北方」。請問

:若從紙條敘述還原當時現場四位嫌疑人的位置,下列示意圖何者最正確?

(A) (B)

(C) (D)

7. ( ) 下圖是某地區的行政區域圖,圖中的虛線是斷層線,圓點代表 房屋。今日該地政府想要畫設距離斷層線X公尺內的房屋為危險房屋,應加 強監測。若政府公告該區域的危險房屋有11間,則X應是多少?

(A) 250 (B) 500 (C) 750 (D)1000

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8. ( ) 下圖是某一地區樹種、溫度以及溼度的分布圖。其中樹種圖中數字越大 代表越為易燃樹種;溫度圖中的數字表示攝氏溫度,數字越高越有可能發生 火災;溼度表示相對濕度,數字越低越有可能發生火災。若森林火災的發生 僅受樹種、溫度及溼度影響,則下列甲乙丙丁四個地區哪一地區發生森林火 災的機率最大?

(A) 甲 (B) 乙 (C) 丙 (D) 丁

▲樹種分布圖 ▲溫度分布圖

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▲溼度分布圖

9. ( ) 下圖是某地區的等高線圖。請問,若小王站在圖中 X 所在的觀景台遠 眺,則他看不到哪些英文字母所在位置的地點?

(A) 只有 C (B) A、C (C) B、C、D、E (D) A、E

10. ( ) 小明在一未知地區迷路,此時他發現燈塔在他的前方,煙囪在他的

左後方。請問,下圖W、X、Y、Z 四的中,何者最有可能是小明所在的位

置?

(A)W (B)X (C)Y (D)Z

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11. ( ) 左下圖是某鄉鎮的住家分布圖,今日政府想要在該鄉鎮人口稠密處

建一座游泳池共大眾使用,請問應建築在右下圖中的何處較佳?

(A)W (B)X (C)Y (D)Z

12. ( ) 王老先生有塊地,他想要在土地上蓋一間豪宅。他拿出那塊地的坡

度圖以及地質圖(如下圖)。王老先生希望他的豪宅蓋在安山岩上面,且坡度

越低越好。若依照王老先生的期望,請問下面A、B、C、D 四點哪一點較適

合蓋豪宅?

(A) A (B) B (C) C (D) D

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13. ( ) 下圖為某鄉鎮的交通路線圖。請估計該鄉鎮距離高速公路5 公里內

的工廠有幾家?

(A) 6 家 (B) 7 家 (C) 8 家 (D) 9 家

14. ( ) 老王考慮在下圖四個黑原點中的某一處開設一間水電行。假設一間

水電行的服務範圍為400 公尺,則老王開設在哪一地點可以服務到最多住

家?

(A)甲 (B)乙 (C)丙 (D)丁

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15. ( ) 下圖是某縣市中各鄉鎮的便利商店分布圖。若將每個鄉鎮的便利商

店數量加總繪製成柱狀圖,則選項(A) (B) (C) (D)中何者最正確?

(A) (B)

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(C) (D)

16. ( ) 下列A~D 選項中哪張圖的空間分布型態,與圖 I 的分布型態最像?

圖 I

(A) (B)

(C) (D)

17. ( ) 老張是一位生物學家,想找尋某種水鹿的蹤跡,且身邊有一張 等高線地形圖(如下圖)。已知該種水鹿的棲地在海拔 500-1000 公尺且常聚 集於溪邊喝水。請問,下圖甲、乙、丙、丁四地中何處較有機會找到?

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(A) 甲 (B) 乙 (C) 丙 (D)丁。

18. ( ) 下圖是某城市的街道圖。小敏站在圖中三角形的位置出發,向西走

一路口,接著向北走一路口,再向東走兩個路口,最後向南走兩個路口。請 問,圖中甲乙丙丁四個點,何者離小敏最後所在位置最近?

(A) 甲 (B)乙 (C)丙 (D)丁。

19. ( ) 下圖是某地區的等高線圖。請問,圖中A、B、C、D四點何者所在

的海拔最低?

(A) A (B) B (C) C (D) D

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20. ( ) 下圖為某個區域的街道圖,圖中的實線為道路。今日小華從打星號

20. ( ) 下圖為某個區域的街道圖,圖中的實線為道路。今日小華從打星號

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